default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPing Li 0001
Person information
- affiliation: LinkedIn Ads, Bellevue, WA, USA
- affiliation: Baidu Research USA, Bellevue, WA, USA
- affiliation (former): Rutgers University, Department of Statistics, Piscataway, NJ, USA
- affiliation (former): Cornell University, Department of Statistical Science, Ithaca, NY, USA
- affiliation (PhD): Stanford University, Department of Statistics, CA, USA
Other persons with the same name
- Ping Li — disambiguation page
- Ping Li 0002 — Eindhoven University of Technology, NL
- Ping Li 0003 — Shanghai Jiaotong University, Department of Electronic Engineering, China
- Ping Li 0004 — University of Hong Kong (HKU), Department of Mechanical Engineering, Hong Kong
- Ping Li 0005 — Chinese Academy of Railway Sciences, Beijing, China
- Ping Li 0006
![[0000-0002-8515-7773]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8515-7773")
(aka: Patrick L. Lee) — Hangzhou Dianzi University, School of Computer Science and Technology, China (and 2 more) - Ping Li 0007 — University of New South Wales, School of Engineering and Information Technology, Canberra, Australia
- Ping Li 0008 — University of Electronic Science and Technology of China, School of Aeronautics and Astronautics, Chengdu, China
- Li Ping 0001 (aka: Ping Li 0009) — City University of Hong Kong, Department of Electronic Engineering, Kowloon
- Ping Li 0010 — Sun Yat-sen University, Department of Philosophy, Guangzhou, China
- Ping Li 0011 — South China University of Technology, School of Computer Science & Engineering, Guangzhou, China
- Ping Li 0012 — Liaoning Shihua University, School of Information and Control Engineering, Fushun, China (and 1 more)
- Ping Li 0013 — Second Affiliated Hospital of Harbin Medical University, Department of Radiology, China
- Ping Li 0014 — University of Electronic Science and Technology of China, State Key Laboratory of Electronic Thin Films and Integrated Devices, Chengdu, China
- Ping Li 0015 — Shaanxi Normal University, College of Mathematics and Information Science, Xi'an, China
- Ping Li 0016 — Hong Kong Polytechnic University, Department of Computing, Hong Kong (and 3 more)
- Ping Li 0017 — Zhejiang University, Institute of Industrial Process Control, Hangzhou, China
- Ping Li 0018 — South China Normal University, School of Computer Science, Guangzhou, China (and 2 more)
- Ping Li 0019 — Deakin University, School of Information Technology, Melbourne, Australia
- Ping Li 0020 — PLA Army Engineering University, College of Communication Engineering, Nanjing, China
- Ping Li 0021 — Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China
- Ping Li 0022 — University of Hagen, Germany
- Ping Li 0023 — Beijing Jiaotong University, Department of Mathematics, China (and 1 more)
- Ping Li 0024 — Southwest Petroleum University, School of Computer Science, Chengdu, China
- Ping Li 0025 — Shaanxi Normal University, Xian, China (and 1 more)
- Ping Li 0026 — Hong Kong Polytechnic University, Faculty of Humanities, Hong Kong (and 2 more)
- Ping Li 0027 — Shandong University of Science and Technology, College of Mathematics and Systems Science, Qingdao, China (and 1 more)
- Ping Li 0028 — Beijing Institute of Technology, School of Mechatronical Engineering, China
- Ping Li 0029 — Shanghai Jiao Tong University, School of Electronic Information and Electric Engineering, Shanghai, China (and 1 more)
- Ping Li 0030 — Shanghai Broadband Network Center, S-BNC, Data and Virtual Research Room, National Engineering Research Center for Broadband Networks & Applications, China
- Ping Li 0031 — Southern University of Science and Technology, Department of Biomedical Engineering, Shenzhen, China (and 1 more)
- Ping Li 0032 — Shanghai University, Shanghai Institute for Advanced Communication and Data Science, Key Laboratory of Specialty Fiber Optics and Optical Access Networks, China
- Ping Li 0033 — Xinjiang University, Ürümqi, College of Information Science and Engineering, China
- Ping Li 0034 — Changsha University of Science and Technology, School of Computer and Communication Engineering, Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation, China (and 1 more)
- Ping Li 0035 — Hefei University of Technology, School of Mathematics, Hefei, China
- Ping Li 0036 — Huaqiao University, College of Information Science and Engineering, Xiamen, China (and 1 more)
- Ping Li 0037 — Beihang University, School of Economics and Management, Beijing, China
- Ping Li 0038 — China Academy of Railway Sciences Corporation Ltd., Beijing, China
- Ping Li 0039 — University of Shanghai for Science and Technology, Rehabilitation Engineering and Technology Institute, Shanghai, China
- Ping Li 0040 — Nanjing University of Aeronautics and Astronautics, College of Electronic and Information Engineering, Nanjing, China (and 1 more)
- Ping Li 0041 — Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, Nanjing, China
- Ping Li 0042 — Power Device Business Group, China Resources Microelectronics (Chongqing) Limited, Chongqing, China (and 2 more)
- Ping Li 0044 — Beihang University, School of Biological Science and Medical Engineering, Key Laboratory for Biomechanics and Mechanobiology, Beijing, China
- Ping Li 0045 — Guangdong University of Technology, School of Computer Science and Technology, Guangzhou, China
- Ping Li 0046 — Beijing Institute of Technology, China
- Ping Li 0047 — Southwest University, College of Electronic and Information Engineering, Chongqing, China (and 1 more)
- Ping Li 0048 — Dalian Maritime University, Marine Electrical Engineering College, Dalian, China
- Ping Li 0049 — Yunnan University of Finance and Economics, Kunming, China
- Ping Li 0050 — Shanghai Jiao Tong University, China (and 1 more)
- Ping Li 0051 — Chengdu University of Technology, College of Management Science, Chengdu, China
- Ping Li 0052 — University of Science and Technology Liaoning, School of Electronic and Information Engineering, Anshan, China
- Ping Li 0053 — Huawei Technologies Co. Ltd., Theory Lab, Central Research Institute, Hong Kong (and 1 more)
- Ping Li 0054 — Northwest Normal University, College of Computer Science and Engineering, Lanzhou, China
- Ping Li 0055 — Wuhan University, School of Information Management, Wuhan, China
- Ping Li 0056 — Fujian Medical University, First Hospital of Quanzhou, Department of Gynecology and Obstetrics, Fujian, China
- Ping Li 0057 — Zhejiang University of Technology, School of Control Science and Engineering, State Key Laboratory of Industrial Control Technology, Hangzhou, China
- Ping Li 0058 — University of Leicester, Department of Engineering, Leicester, UK (and 1 more)
- Ping Li 0059 — Wuhan Business University, School of Foreign Languages, Wuhan, China
- Ping Li 0060 — Southwestern University of Finance and Economics, School of Economics Information Engineering, Chengdu, China
- Ping Li 0061 — University of Shanghai for Science and Technology, Terahertz Technology Innovation Research Institute, Shanghai, China (and 1 more)
- Ping Li 0062 — Nanjing University, Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, Nanjing, China
- Ping Li 0063 — Academy of Chinese Medicine Sciences, Guanganmen Hospital, Beijing, China
- Ping Li 0064 — Shandong University, School of Mathematics and System Sciences, Jinan, China
- Ping Li 0065 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j27]Yang Liu, Yifan Zhou, Ping Li, Feifang Hu:
Cluster-Adaptive Network A/B Testing: From Randomization to Estimation. J. Mach. Learn. Res. 25: 170:1-170:48 (2024)- [c308]Xinmeng Huang, Ping Li, Xiaoyun Li:
Stochastic Controlled Averaging for Federated Learning with Communication Compression. ICLR 2024 - [c307]Yancheng Wang, Ping Li, Yingzhen Yang:
Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach. ICML 2024 - [c306]Ping Li, Weijie Zhao:
Pb-Hash: Partitioned b-bit Hashing. ICTIR 2024: 239-246 - [c305]Shaogang Ren, Dingcheng Li, Ping Li:
Word Embedding with Neural Probabilistic Prior. SDM 2024: 896-904 - [c304]Weijie Zhao, Shulong Tan, Ping Li:
GUITAR: Gradient Pruning toward Fast Neural Ranking. SIGIR 2024: 163-173 - [i168]Duy C. Hoang, Hung T. Q. Le, Rui Chu, Ping Li, Weijie Zhao, Yingjie Lao, Khoa D. Doan:
Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality. CoRR abs/2407.13803 (2024) - [i167]Miao Fan, Jiacheng Guo, Shuai Zhu, Shuo Miao, Mingming Sun, Ping Li:
MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search. CoRR abs/2409.03449 (2024) - [i166]Miao Fan, Yeqi Bai, Mingming Sun, Ping Li:
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features. CoRR abs/2409.04009 (2024) - 2023
- [j26]Xiao-Tong Yuan, Ping Li:
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation. J. Mach. Learn. Res. 24: 270:1-270:52 (2023) - [j25]Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
An Energy-Based Prior for Generative Saliency. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13100-13116 (2023) - [j24]Sujay Bhatt, Ping Li, Gennady Samorodnitsky:
Extreme Bandits Using Robust Statistics. IEEE Trans. Inf. Theory 69(3): 1761-1776 (2023) - [c303]Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li:
Defending Backdoor Attacks on Vision Transformer via Patch Processing. AAAI 2023: 506-515 - [c302]Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li:
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference. AAAI 2023: 10499-10509 - [c301]Yang Zhao, Jianwen Xie, Ping Li:
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning. AAAI 2023: 11345-11353 - [c300]Ye Ma, Mingming Sun, Ping Li:
A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing. ACL (Findings) 2023: 4218-4230 - [c299]Yue Zhang, Hongliang Fei, Ping Li:
Denoising Enhanced Distantly Supervised Ultrafine Entity Typing. ACL (Findings) 2023: 9880-9892 - [c298]Yaxuan Zhu, Jianwen Xie, Ping Li:
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation. AISTATS 2023: 4164-4180 - [c297]Sujay Bhatt, Guanhua Fang, Ping Li:
Piecewise Stationary Bandits under Risk Criteria. AISTATS 2023: 4313-4335 - [c296]Hang Zhang, Ping Li:
Improved Bound on Generalization Error of Compressed KNN Estimator. AISTATS 2023: 7578-7593 - [c295]Fan Zhou, Ping Li, Cun-Hui Zhang:
Universal Bias Reduction in Estimation of Smooth Additive Function in High Dimensions. ALT 2023: 1555-1578 - [c294]Shuo Yang, Zeke Xie, Hanyu Peng, Min Xu, Mingming Sun, Ping Li:
Dataset Pruning: Reducing Training Data by Examining Generalization Influence. ICLR 2023 - [c293]Huang Fang, Xiaoyun Li, Chenglin Fan, Ping Li:
Improved Convergence of Differential Private SGD with Gradient Clipping. ICLR 2023 - [c292]Yingzhen Yang, Ping Li:
Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property. ICLR 2023 - [c291]Xiaotong Yuan, Ping Li:
Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms. ICLR 2023 - [c290]Chenglin Fan, Ping Li, Xiaoyun Li:
LSDS++ : Dual Sampling for Accelerated k-means++. ICML 2023: 9640-9649 - [c289]Guanhua Fang, Ping Li:
Regression with Label Permutation in Generalized Linear Model. ICML 2023: 9716-9760 - [c288]Xiaoyun Li, Ping Li:
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation. ICML 2023: 19638-19688 - [c287]Jialu Wang, Ping Li, Feifang Hu:
A/B Testing in Network Data with Covariate-Adaptive Randomization. ICML 2023: 35949-35969 - [c286]Hang Zhang, Ping Li:
One-Step Estimator for Permuted Sparse Recovery. ICML 2023: 41244-41267 - [c285]Ping Li, Xiaoyun Li:
OPORP: One Permutation + One Random Projection. KDD 2023: 1303-1315 - [c284]Chenglin Fan, Ping Li, Xiaoyun Li:
k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy. NeurIPS 2023 - [c283]Ping Li, Xiaoyun Li:
Smooth Flipping Probability for Differential Private Sign Random Projection Methods. NeurIPS 2023 - [c282]Zeke Xie, Qian-Yuan Tang, Mingming Sun, Ping Li:
On the Overlooked Structure of Stochastic Gradients. NeurIPS 2023 - [c281]Xiaotong Yuan, Ping Li:
L2-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting. NeurIPS 2023 - [c280]Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li:
Asymmetric Hashing for Fast Ranking via Neural Network Measures. SIGIR 2023: 697-707 - [c279]Dingcheng Li, Peng Yang, Yue Zhang, Ping Li:
Power Norm Based Lifelong Learning for Paraphrase Generations. SIGIR 2023: 2266-2271 - [c278]Xinyi Zheng, Weijie Zhao, Xiaoyun Li, Ping Li:
Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). SIGIR 2023: 3374-3379 - [c277]Belhal Karimi, Ping Li, Xiaoyun Li:
Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning. UAI 2023: 1037-1046 - [c276]Hanyu Peng, Guanhua Fang, Ping Li:
Copula for Instance-wise Feature Selection and Rank. UAI 2023: 1651-1661 - [c275]Hang Zhang, Ping Li:
Greed is good: correspondence recovery for unlabeled linear regression. UAI 2023: 2509-2518 - [c274]Shaogang Ren, Hongliang Fei, Dingcheng Li, Ping Li:
Learning Latent Structural Relations with Message Passing Prior. WACV 2023: 5323-5332 - [c273]Hanyu Peng, Weiguo Pian, Mingming Sun, Ping Li:
Dynamic Re-weighting for Long-tailed Semi-supervised Learning. WACV 2023: 6453-6463 - [i165]Xiao-Tong Yuan, Ping Li:
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation. CoRR abs/2301.03125 (2023) - [i164]Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li:
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference. CoRR abs/2301.09300 (2023) - [i163]Ping Li, Xiaoyun Li:
OPORP: One Permutation + One Random Projection. CoRR abs/2302.03505 (2023) - [i162]Hang Zhang, Ping Li:
Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators. CoRR abs/2303.11233 (2023) - [i161]Yang Zhao, Jianwen Xie, Ping Li:
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning. CoRR abs/2303.11649 (2023) - [i160]Yaxuan Zhu, Jianwen Xie, Ping Li:
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation. CoRR abs/2304.07918 (2023) - [i159]Xinyi Zheng, Weijie Zhao, Xiaoyun Li, Ping Li:
Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). CoRR abs/2304.13677 (2023) - [i158]Ping Li, Xiaoyun Li:
Differential Privacy with Random Projections and Sign Random Projections. CoRR abs/2306.01751 (2023) - [i157]Ping Li, Weijie Zhao, Chao Wang, Qi Xia, Alice Wu, Lijun Peng:
Practice with Graph-based ANN Algorithms on Sparse Data: Chi-square Two-tower model, HNSW, Sign Cauchy Projections. CoRR abs/2306.07607 (2023) - [i156]Xiaoyun Li, Ping Li:
Differentially Private One Permutation Hashing and Bin-wise Consistent Weighted Sampling. CoRR abs/2306.07674 (2023) - [i155]Ye Ma, Mingming Sun, Ping Li:
A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing. CoRR abs/2306.12018 (2023) - [i154]Weijie Zhao, Ping Li:
Blockwise Feature Interaction in Recommendation Systems. CoRR abs/2306.15881 (2023) - [i153]Ping Li, Weijie Zhao:
Pb-Hash: Partitioned b-bit Hashing. CoRR abs/2306.15944 (2023) - [i152]Shaogang Ren, Dingcheng Li, Ping Li:
Word Embedding with Neural Probabilistic Prior. CoRR abs/2309.11824 (2023) - [i151]Belhal Karimi, Jianwen Xie, Ping Li:
STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models. CoRR abs/2310.12667 (2023) - [i150]Yunfeng Cai, Xu Li, Mingming Sun, Ping Li:
Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix. CoRR abs/2311.00674 (2023) - [i149]Weijie Zhao, Shulong Tan, Ping Li:
GUITAR: Gradient Pruning toward Fast Neural Ranking. CoRR abs/2312.16828 (2023) - 2022
- [j23]Hang Zhang, Martin Slawski, Ping Li:
The Benefits of Diversity: Permutation Recovery in Unlabeled Sensing From Multiple Measurement Vectors. IEEE Trans. Inf. Theory 68(4): 2509-2529 (2022) - [j22]Xiao-Tong Yuan, Ping Li:
Stability and Risk Bounds of Iterative Hard Thresholding. IEEE Trans. Inf. Theory 68(10): 6663-6681 (2022) - [c272]Tan Yu, Yunfeng Cai, Ping Li:
Efficient Compact Bilinear Pooling via Kronecker Product. AAAI 2022: 3170-3178 - [c271]Yingjie Lao, Weijie Zhao, Peng Yang, Ping Li:
DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding. AAAI 2022: 9595-9603 - [c270]Xin Wang, Minlong Peng, Mingming Sun, Ping Li:
OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework. ACL (1) 2022: 6213-6226 - [c269]You-Lin Chen, Zhiqiang Xu, Ping Li:
Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm. ACML 2022: 201-216 - [c268]Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li:
On the Convergence of Decentralized Adaptive Gradient Methods. ACML 2022: 217-232 - [c267]Yang Liu, Yifan Zhou, Ping Li, Feifang Hu:
Adaptive A/B Test on Networks with Cluster Structures. AISTATS 2022: 10836-10851 - [c266]Belhal Karimi, Hoi-To Wai, Eric Moulines, Ping Li:
Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems. ALT 2022: 606-637 - [c265]Zhiqiang Xu, Ping Li:
Faster Noisy Power Method. ALT 2022: 1138-1164 - [c264]Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li:
PaddleBox: Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. IEEE Big Data 2022: 1401-1408 - [c263]Yi Yang, Tan Yu, Jie Liu, Zhipeng Jin, Xuewu Jiao, Yi Li, Shuanglong Li, Ping Li:
Enhanced Video BERT for Fast Video Advertisement Retrieval. IEEE Big Data 2022: 2133-2139 - [c262]Tan Yu, Zhipeng Jin, Jie Liu, Yi Yang, Hongliang Fei, Ping Li:
Boost CTR Prediction for New Advertisements via Modeling Visual Content. IEEE Big Data 2022: 2140-2149 - [c261]Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li:
Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising. IEEE Big Data 2022: 2150-2159 - [c260]Weijie Zhao, Peng Yang, Dong Li, Xing Shen, Lin Li, Ping Li:
Feature Fusion Network for Personalized Online Advertising Systems. IEEE Big Data 2022: 2160-2168 - [c259]Tan Yu, Jun Zhi, Yufei Zhang, Jian Li, Hongliang Fei, Ping Li:
Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning. IEEE Big Data 2022: 2441-2445 - [c258]Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, Ping Li:
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems. IEEE Big Data 2022: 2461-2466 - [c257]Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu:
BOAT: Bilateral Local Attention Vision Transformer. BMVC 2022: 371 - [c256]Tairan Huang, Xu Li, Hao Li, Mingming Sun, Ping Li:
CGAR: Critic Guided Action Redistribution in Reinforcement Leaning. CoG 2022: 496-499 - [c255]Ping Li, Xiaoyun Li, Gennady Samorodnitsky:
℘-MinHash Algorithm for Continuous Probability Measures: Theory and Application to Machine Learning. CIKM 2022: 1177-1187 - [c254]Ping Li, Weijie Zhao:
GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. CIKM 2022: 1188-1198 - [c253]Shaogang Ren, Ping Li:
Flow-based Perturbation for Cause-effect Inference. CIKM 2022: 1706-1715 - [c252]Zhuoyi Wang, Dingcheng Li, Ping Li:
Latent Coreset Sampling based Data-Free Continual Learning. CIKM 2022: 2077-2087 - [c251]Zelai Xu, Tan Yu, Ping Li:
Texture BERT for Cross-modal Texture Image Retrieval. CIKM 2022: 4610-4614 - [c250]Tan Yu, Jie Liu, Zhipeng Jin, Yi Yang, Hongliang Fei, Ping Li:
Multi-scale Multi-modal Dictionary BERT For Effective Text-image Retrieval in Multimedia Advertising. CIKM 2022: 4655-4660 - [c249]Faysal Hossain Shezan, Yingjie Lao, Minlong Peng, Xin Wang, Mingming Sun, Ping Li:
NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language. CNS 2022: 1-9 - [c248]Peng Yang, Dingcheng Li, Ping Li:
Continual Learning for Natural Language Generations with Transformer Calibration. CoNLL 2022: 40-49 - [c247]Khoa D. Doan, Peng Yang, Ping Li:
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. CVPR 2022: 9437-9447 - [c246]Jinxing Yu, Yunfeng Cai, Mingming Sun, Ping Li:
SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space. HT 2022: 64-72 - [c245]Yingjie Lao, Peng Yang, Weijie Zhao, Ping Li:
Identification for Deep Neural Network: Simply Adjusting Few Weights! ICDE 2022: 1328-1341 - [c244]Shaogang Ren, Dingcheng Li, Ping Li:
Causal Effect Prediction with Flow-based Inference. ICDM 2022: 1167-1172 - [c243]Xiaoyun Li, Belhal Karimi, Ping Li:
On Distributed Adaptive Optimization with Gradient Compression. ICLR 2022 - [c242]Hanyu Peng, Mingming Sun, Ping Li:
Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix. ICLR 2022 - [c241]Jianwen Xie, Yaxuan Zhu, Jun Li, Ping Li:
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model. ICLR 2022 - [c240]Yingzhen Yang, Ping Li:
Discriminative Similarity for Data Clustering. ICLR 2022 - [c239]Tan Yu, Jun Li, Yunfeng Cai, Ping Li:
Constructing Orthogonal Convolutions in an Explicit Manner. ICLR 2022 - [c238]Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky:
Minimax M-estimation under Adversarial Contamination. ICML 2022: 1906-1924 - [c237]Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky:
Nearly Optimal Catoni's M-estimator for Infinite Variance. ICML 2022: 1925-1944 - [c236]Xiaoyun Li, Ping Li:
C-MinHash: Improving Minwise Hashing with Circulant Permutation. ICML 2022: 12857-12887 - [c235]Tan Yu, Hongliang Fei, Ping Li:
U-BERT for Fast and Scalable Text-Image Retrieval. ICTIR 2022: 193-203 - [c234]Siamak Zamany, Dingcheng Li, Hongliang Fei, Ping Li:
Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering. ICTIR 2022: 254-263 - [c233]Xueyan Niu, Xiaoyun Li, Ping Li:
Learning Cluster Causal Diagrams: An Information-Theoretic Approach. IJCAI 2022: 4871-4877 - [c232]Chenglin Fan, Ping Li:
Distances Release with Differential Privacy in Tree and Grid Graph. ISIT 2022: 2190-2195 - [c231]Yunfeng Cai, Guanhua Fang, Ping Li:
Sensitivity of Under-Determined Linear System. ISIT 2022: 2267-2272 - [c230]Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky:
Regret Analysis for RL using Renewal Bandit Feedback. ITW 2022: 137-142 - [c229]Chenglin Fan, Ping Li:
Metric Nearness with Minimum Distortion: Optimal and Approximation. ITW 2022: 434-439 - [c228]Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li:
Variational Flow Graphical Model. KDD 2022: 1493-1503 - [c227]Weijie Zhao, Yingjie Lao, Ping Li:
Integrity Authentication in Tree Models. KDD 2022: 2585-2593 - [c226]Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li:
EGM: Enhanced Graph-based Model for Large-scale Video Advertisement Search. KDD 2022: 4443-4451 - [c225]Yue Zhang, Hongliang Fei, Dingcheng Li, Ping Li:
PromptGen: Automatically Generate Prompts using Generative Models. NAACL-HLT (Findings) 2022: 30-37 - [c224]Yue Feng, Zhen Han, Mingming Sun, Ping Li:
Multi-Hop Open-Domain Question Answering over Structured and Unstructured Knowledge. NAACL-HLT (Findings) 2022: 151-156 - [c223]Haiyan Yin, Dingcheng Li, Ping Li:
Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning. NAACL-HLT 2022: 1385-1395 - [c222]Jiaheng Liu, Tan Yu, Hanyu Peng, Mingming Sun, Ping Li:
Cross-Lingual Cross-Modal Consolidation for Effective Multilingual Video Corpus Moment Retrieval. NAACL-HLT (Findings) 2022: 1854-1862 - [c221]Khoa D. Doan, Yingjie Lao, Ping Li:
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class. NeurIPS 2022 - [c220]Chenglin Fan, Ping Li, Xiaoyun Li:
Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error Rate. NeurIPS 2022 - [c219]Xiaoyun Li, Ping Li:
SignRFF: Sign Random Fourier Features. NeurIPS 2022 - [c218]Xiaotong Yuan, Ping Li:
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond. NeurIPS 2022 - [c217]Haoliang Liu, Tan Yu, Ping Li:
Sensitivity-aware Distance Measurement for Boosting Metric Learning. SDM 2022: 576-584 - [c216]Yue Zhang, Mingming Sun, Jingyuan Zhang, Ping Li:
Explainable Concept Graph Completion by Bridging Open-Domain Relations and Concepts. SDM 2022: 675-683 - [c215]Tan Yu, Hongliang Fei, Ping Li:
Cross-Probe BERT for Fast Cross-Modal Search. SIGIR 2022: 2178-2183 - [c214]Yue Zhang, Hongliang Fei, Ping Li:
End-to-end Distantly Supervised Information Extraction with Retrieval Augmentation. SIGIR 2022: 2449-2455 - [c213]Sujay Bhatt, Guanhua Fang, Ping Li:
Offline change detection under contamination. UAI 2022: 191-201 - [c212]Yingzhen Yang, Ping Li:
Noisy L0-sparse subspace clustering on dimensionality reduced data. UAI 2022: 2235-2245 - [c211]Peng Yang, Shaogang Ren, Yang Zhao, Ping Li:
Calibrating CNNs for Few-Shot Meta Learning. WACV 2022: 408-417 - [c210]Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li:
S2-MLP: Spatial-Shift MLP Architecture for Vision. WACV 2022: 3615-3624 - [i148]Ping Li, Weijie Zhao:
GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. CoRR abs/2201.02283 (2022) - [i147]Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li:
Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. CoRR abs/2201.05500 (2022) - [i146]Zeke Xie, Qian-Yuan Tang, Yunfeng Cai, Mingming Sun, Ping Li:
On the Power-Law Spectrum in Deep Learning: A Bridge to Protein Science. CoRR abs/2201.13011 (2022) - [i145]Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu:
BOAT: Bilateral Local Attention Vision Transformer. CoRR abs/2201.13027 (2022) - [i144]Minlong Peng, Zidi Xiong, Mingming Sun, Ping Li:
Label-Smoothed Backdoor Attack. CoRR abs/2202.11203 (2022) - [i143]Xiao-Tong Yuan, Ping Li:
Stability and Risk Bounds of Iterative Hard Thresholding. CoRR abs/2203.09413 (2022) - [i142]Belhal Karimi, Ping Li:
A Class of Two-Timescale Stochastic EM Algorithms for Nonconvex Latent Variable Models. CoRR abs/2203.10186 (2022) - [i141]Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
An Energy-Based Prior for Generative Saliency. CoRR abs/2204.08803 (2022) - [i140]Jinxing Yu, Yunfeng Cai, Mingming Sun, Ping Li:
SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space. CoRR abs/2204.10245 (2022) - [i139]Chenglin Fan, Ping Li:
Distances Release with Differential Privacy in Tree and Grid Graph. CoRR abs/2204.12488 (2022) - [i138]Chenglin Fan, Ping Li, Xiaoyun Li:
Breaking the Linear Error Barrier in Differentially Private Graph Distance Release. CoRR abs/2204.14247 (2022) - [i137]Xiaoyun Li, Belhal Karimi, Ping Li:
On Distributed Adaptive Optimization with Gradient Compression. CoRR abs/2205.05632 (2022) - [i136]Jianwen Xie, Yaxuan Zhu, Jun Li, Ping Li:
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model. CoRR abs/2205.06924 (2022) - [i135]Shuo Yang, Zeke Xie, Hanyu Peng, Min Xu, Mingming Sun, Ping Li:
Dataset Pruning: Reducing Training Data by Examining Generalization Influence. CoRR abs/2205.09329 (2022) - [i134]Ping Li, Weijie Zhao:
Fast ABC-Boost: A Unified Framework for Selecting the Base Class in Multi-Class Classification. CoRR abs/2205.10927 (2022) - [i133]Weijie Zhao, Yingjie Lao, Ping Li:
Integrity Authentication in Tree Models. CoRR abs/2205.15444 (2022) - [i132]Khoa D. Doan, Peng Yang, Ping Li:
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. CoRR abs/2205.15721 (2022) - [i131]Xiao-Tong Yuan, Ping Li:
Boosting the Confidence of Generalization for L2-Stable Randomized Learning Algorithms. CoRR abs/2206.03834 (2022) - [i130]Xiao-Tong Yuan, Ping Li:
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond. CoRR abs/2206.05187 (2022) - [i129]Weifu Wang, Ping Li:
Towards Constructing Finer then Homotopy Path Classes. CoRR abs/2206.06307 (2022) - [i128]Weifu Wang, Ping Li:
Finding Control Synthesis for Kinematic Shortest Paths. CoRR abs/2206.07708 (2022) - [i127]Weifu Wang, Ping Li:
Planning and Formulations in Pursuit-Evasion: Keep-away Games and Their Strategies. CoRR abs/2206.08318 (2022) - [i126]Weifu Wang, Ping Li:
Planning through Workspace Constraint Satisfaction and Optimization. CoRR abs/2206.08337 (2022) - [i125]Zhaozhuo Xu, Weijie Zhao, Shulong Tan, Zhixin Zhou, Ping Li:
Proximity Graph Maintenance for Fast Online Nearest Neighbor Search. CoRR abs/2206.10839 (2022) - [i124]Yingzhen Yang, Ping Li:
Noisy 𝓁0-Sparse Subspace Clustering on Dimensionality Reduced Data. CoRR abs/2206.11079 (2022) - [i123]Tairan Huang, Xu Li, Hao Li, Mingming Sun, Ping Li:
CGAR: Critic Guided Action Redistribution in Reinforcement Leaning. CoRR abs/2206.11494 (2022) - [i122]Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li:
Defending Backdoor Attacks on Vision Transformer via Patch Processing. CoRR abs/2206.12381 (2022) - [i121]Chenglin Fan, Ping Li, Xiaoyun Li:
k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy. CoRR abs/2206.12895 (2022) - [i120]Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li:
Variational Flow Graphical Model. CoRR abs/2207.02722 (2022) - [i119]Ping Li, Weijie Zhao:
pGMM Kernel Regression and Comparisons with Boosted Trees. CoRR abs/2207.08667 (2022) - [i118]Ping Li, Weijie Zhao:
Package for Fast ABC-Boost. CoRR abs/2207.08770 (2022) - [i117]Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky:
Catoni-style Confidence Sequences under Infinite Variance. CoRR abs/2208.03185 (2022) - [i116]Faysal Hossain Shezan, Yingjie Lao, Minlong Peng, Xin Wang, Mingming Sun, Ping Li:
NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language. CoRR abs/2208.13361 (2022) - [i115]Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li:
Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising. CoRR abs/2209.08759 (2022) - [i114]Tan Yu, Zhipeng Jin, Jie Liu, Yi Yang, Hongliang Fei, Ping Li:
Boost CTR Prediction for New Advertisements via Modeling Visual Content. CoRR abs/2209.11727 (2022) - [i113]Khoa D. Doan, Jianwen Xie, Yaxuan Zhu, Yang Zhao, Ping Li:
CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing. CoRR abs/2210.04288 (2022) - [i112]Tan Yu, Jun Zhi, Yufei Zhang, Jian Li, Hongliang Fei, Ping Li:
Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning. CoRR abs/2210.07232 (2022) - [i111]Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, Ping Li:
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems. CoRR abs/2210.07768 (2022) - [i110]Khoa D. Doan, Yingjie Lao, Ping Li:
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class. CoRR abs/2210.09194 (2022) - [i109]Yue Zhang, Hongliang Fei, Ping Li:
Denoising Enhanced Distantly Supervised Ultrafine Entity Typing. CoRR abs/2210.09599 (2022) - [i108]Yue Zhang, Hongliang Fei, Dingcheng Li, Tan Yu, Ping Li:
Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models. CoRR abs/2210.10841 (2022) - [i107]Weijie Zhao, Shulong Tan, Ping Li:
Constrained Approximate Similarity Search on Proximity Graph. CoRR abs/2210.14958 (2022) - [i106]Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li:
Asymmetric Hashing for Fast Ranking via Neural Network Measures. CoRR abs/2211.00619 (2022) - [i105]Shuo Chen, Tan Yu, Ping Li:
R2-MLP: Round-Roll MLP for Multi-View 3D Object Recognition. CoRR abs/2211.11085 (2022) - [i104]Tan Yu, Ping Li:
Degenerate Swin to Win: Plain Window-based Transformer without Sophisticated Operations. CoRR abs/2211.14255 (2022) - [i103]Xiaoyun Li, Ping Li:
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression. CoRR abs/2211.14292 (2022) - [i102]Zeke Xie, Qian-Yuan Tang, Zheng He, Mingming Sun, Ping Li:
Rethinking the Structure of Stochastic Gradients: Empirical and Statistical Evidence. CoRR abs/2212.02083 (2022) - 2021
- [j21]Zhiqiang Xu, Ping Li:
On the Riemannian Search for Eigenvector Computation. J. Mach. Learn. Res. 22: 249:1-249:46 (2021) - [j20]Shulong Tan, Weijie Zhao, Ping Li:
Fast Neural Ranking on Bipartite Graph Indices. Proc. VLDB Endow. 15(4): 794-803 (2021) - [j19]Mostafa Rahmani, Ping Li:
Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search. IEEE Trans. Signal Process. 69: 3132-3144 (2021) - [c209]Tan Yu, Xiaoyun Li, Ping Li:
Fast and Compact Bilinear Pooling by Shifted Random Maclaurin. AAAI 2021: 3243-3251 - [c208]Xiaoyun Li, Ping Li:
Rejection Sampling for Weighted Jaccard Similarity Revisited. AAAI 2021: 4197-4205 - [c207]Yunfeng Cai, Ping Li:
A Blind Block Term Decomposition of High Order Tensors. AAAI 2021: 6868-6876 - [c206]Jianwen Xie, Zilong Zheng, Ping Li:
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler. AAAI 2021: 10441-10451 - [c205]Jun-Kun Wang, Xiaoyun Li, Belhal Karimi, Ping Li:
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization. ACML 2021: 422-437 - [c204]Weiwei Li, Mostafa Rahmani, Ping Li:
Provable Data Clustering via Innovation Search. ACSCC 2021: 498-503 - [c203]Mostafa Rahmani, Rasoul Shafipour, Ping Li:
Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures. ACSCC 2021: 1551-1557 - [c202]Yunfeng Cai, Ping Li:
Identification of Matrix Joint Block Diagonalization. AISTATS 2021: 1495-1503 - [c201]Zhiqiang Xu, Ping Li:
On the Faster Alternating Least-Squares for CCA. AISTATS 2021: 1621-1629 - [c200]Xiaotong Yuan, Ping Li:
Stability and Risk Bounds of Iterative Hard Thresholding. AISTATS 2021: 1702-1710 - [c199]Xiaoyun Li, Ping Li:
One-Sketch-for-All: Non-linear Random Features from Compressed Linear Measurements. AISTATS 2021: 2647-2655 - [c198]Fan Zhou, Ping Li, Zhixin Zhou:
Principal Subspace Estimation Under Information Diffusion. AISTATS 2021: 3205-3213 - [c197]Shulong Tan, Meifang Li, Weijie Zhao, Yandan Zheng, Xin Pei, Ping Li:
Multi-Task and Multi-Scene Unified Ranking Model for Online Advertising. IEEE BigData 2021: 2046-2051 - [c196]Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li:
Rethinking Token-Mixing MLP for MLP-based Vision Backbone. BMVC 2021: 139 - [c195]Shuo Chen, Tan Yu, Ping Li:
MVT: Multi-view Vision Transformer for 3D Object Recognition. BMVC 2021: 349 - [c194]Peng Yang, Ping Li:
Adversarial Kernel Sampling on Class-imbalanced Data Streams. CIKM 2021: 2352-2362 - [c193]Tan Yu, Yi Yang, Hongliang Fei, Yi Li, Xiaodong Chen, Ping Li:
Assorted Attention Network for Cross-Lingual Language-to-Vision Retrieval. CIKM 2021: 2444-2454 - [c192]Tan Yu, Ping Li:
Multiple Exemplars Learning for Fast Image Retrieval. CIKM 2021: 2455-2465 - [c191]Tan Yu, Xiaokang Li, Jianwen Xie, Ruiyang Yin, Qing Xu, Ping Li:
MixBERT for Image-Ad Relevance Scoring in Advertising. CIKM 2021: 3597-3602 - [c190]Xin Wang, Peng Yang, Shaopeng Chen, Lin Liu, Lian Zhao, Jiacheng Guo, Mingming Sun, Ping Li:
Efficient Learning to Learn a Robust CTR Model for Web-scale Online Sponsored Search Advertising. CIKM 2021: 4203-4213 - [c189]Tan Yu, Yi Yang, Yi Li, Lin Liu, Mingming Sun, Ping Li:
Multi-modal Dictionary BERT for Cross-modal Video Search in Baidu Advertising. CIKM 2021: 4341-4351 - [c188]Zilong Zheng, Jianwen Xie, Ping Li:
Patchwise Generative ConvNet: Training Energy-Based Models From a Single Natural Image for Internal Learning. CVPR 2021: 2961-2970 - [c187]Dongsheng An, Jianwen Xie, Ping Li:
Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction. CVPR 2021: 15415-15424 - [c186]Dingcheng Li, Hongliang Fei, Shaogang Ren, Ping Li:
A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation. EMNLP (Findings) 2021: 4300-4310 - [c185]Haoliang Liu, Tan Yu, Ping Li:
Inflate and Shrink: Enriching and Reducing Interactions for Fast Text-Image Retrieval. EMNLP (1) 2021: 9796-9809 - [c184]Mostafa Rahmani, Ping Li:
Fast and Provable Robust PCA VIA Normalized Coherence Pursuit. ICASSP 2021: 5305-5309 - [c183]Khoa D. Doan, Yingjie Lao, Weijie Zhao, Ping Li:
LIRA: Learnable, Imperceptible and Robust Backdoor Attacks. ICCV 2021: 11946-11956 - [c182]Peng Yang, Yingjie Lao, Ping Li:
Robust Watermarking for Deep Neural Networks via Bi-level Optimization. ICCV 2021: 14821-14830 - [c181]Tan Yu, Xuemeng Yang, Yan Jiang, Hongfang Zhang, Weijie Zhao, Ping Li:
TIRA in Baidu Image Advertising. ICDE 2021: 2207-2212 - [c180]Peng Yang, Xiaoyun Li, Ping Li:
Graph-based Adversarial Online Kernel Learning with Adaptive Embedding. ICDM 2021: 797-806 - [c179]Shaogang Ren, Haiyan Yin, Mingming Sun, Ping Li:
Causal Discovery with Flow-based Conditional Density Estimation. ICDM 2021: 1300-1305 - [c178]Yang Zhao, Jianwen Xie, Ping Li:
Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling. ICLR 2021 - [c177]Guanhua Fang, Ping Li:
On Estimation in Latent Variable Models. ICML 2021: 3100-3110 - [c176]Guanhua Fang, Ping Li:
On Variational Inference in Biclustering Models. ICML 2021: 3111-3121 - [c175]Xiaoyun Li, Ping Li:
Quantization Algorithms for Random Fourier Features. ICML 2021: 6369-6380 - [c174]Fan Zhou, Ping Li:
Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations. ICML 2021: 12813-12823 - [c173]Dominic Seyler, Shulong Tan, Dingcheng Li, Jingyuan Zhang, Ping Li:
Textual Analysis and Timely Detection of Suspended Social Media Accounts. ICWSM 2021: 644-655 - [c172]Belhal Karimi, Ping Li:
Two-Timescale Stochastic EM Algorithms. ISIT 2021: 890-895 - [c171]Hang Zhang, Ping Li:
Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators. ISIT 2021: 1760-1765 - [c170]Yingzhen Yang, Ping Li:
FROS: Fast Regularized Optimization by Sketching. ISIT 2021: 2780-2785 - [c169]Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li:
Norm Adjusted Proximity Graph for Fast Inner Product Retrieval. KDD 2021: 1552-1560 - [c168]Hongliang Fei, Tan Yu, Ping Li:
Cross-lingual Cross-modal Pretraining for Multimodal Retrieval. NAACL-HLT 2021: 3644-3650 - [c167]Haiyan Yin, Peng Yang, Ping Li:
Mitigating Forgetting in Online Continual Learning with Neuron Calibration. NeurIPS 2021: 10260-10272 - [c166]Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction. NeurIPS 2021: 15448-15463 - [c165]Khoa D. Doan, Yingjie Lao, Ping Li:
Backdoor Attack with Imperceptible Input and Latent Modification. NeurIPS 2021: 18944-18957 - [c164]Zhixin Zhou, Fan Zhou, Ping Li, Cun-Hui Zhang:
Rate-Optimal Subspace Estimation on Random Graphs. NeurIPS 2021: 20283-20294 - [c163]Zhiqiang Xu, Ping Li:
A Comprehensively Tight Analysis of Gradient Descent for PCA. NeurIPS 2021: 21935-21946 - [c162]Yunfeng Cai, Guanhua Fang, Ping Li:
A Note on Sparse Generalized Eigenvalue Problem. NeurIPS 2021: 23036-23048 - [c161]Weifu Wang, Ping Li:
Towards finding the shortest-paths for 3D rigid bodies. Robotics: Science and Systems 2021 - [c160]Yue Feng, Zhaochun Ren, Weijie Zhao, Mingming Sun, Ping Li:
Multi-Type Textual Reasoning for Product-Aware Answer Generation. SIGIR 2021: 1135-1145 - [c159]Tan Yu, Yi Yang, Yi Li, Lin Liu, Hongliang Fei, Ping Li:
Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval. SIGIR 2021: 1146-1156 - [c158]Hongliang Fei, Jingyuan Zhang, Xingxuan Zhou, Junhao Zhao, Xinyang Qi, Ping Li:
GemNN: Gating-enhanced Multi-task Neural Networks with Feature Interaction Learning for CTR Prediction. SIGIR 2021: 2166-2171 - [c157]Yue Zhang, Hongliang Fei, Ping Li:
ReadsRE: Retrieval-Augmented Distantly Supervised Relation Extraction. SIGIR 2021: 2257-2262 - [c156]Zhiqiang Xu, Dong Li, Weijie Zhao, Xing Shen, Tianbo Huang, Xiaoyun Li, Ping Li:
Agile and Accurate CTR Prediction Model Training for Massive-Scale Online Advertising Systems. SIGMOD Conference 2021: 2404-2409 - [c155]Huang Fang, Guanhua Fang, Tan Yu, Ping Li:
Efficient greedy coordinate descent via variable partitioning. UAI 2021: 547-557 - [c154]Puxuan Yu, Hongliang Fei, Ping Li:
Cross-lingual Language Model Pretraining for Retrieval. WWW 2021: 1029-1039 - [c153]Ping Li, Xiaoyun Li, Gennady Samorodnitsky, Weijie Zhao:
Consistent Sampling Through Extremal Process. WWW 2021: 1317-1327 - [c152]Jinxing Yu, Yunfeng Cai, Mingming Sun, Ping Li:
MQuadE: a Unified Model for Knowledge Fact Embedding. WWW 2021: 3442-3452 - [i101]Xiaoyun Li, Ping Li:
Quantization Algorithms for Random Fourier Features. CoRR abs/2102.13079 (2021) - [i100]Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li:
S2-MLP: Spatial-Shift MLP Architecture for Vision. CoRR abs/2106.07477 (2021) - [i99]Mostafa Rahmani, Ping Li:
Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search. CoRR abs/2106.12190 (2021) - [i98]Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li:
Rethinking Token-Mixing MLP for MLP-based Vision Backbone. CoRR abs/2106.14882 (2021) - [i97]Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li:
S2-MLPv2: Improved Spatial-Shift MLP Architecture for Vision. CoRR abs/2108.01072 (2021) - [i96]Weiwei Li, Mostafa Rahmani, Ping Li:
Provable Data Clustering via Innovation Search. CoRR abs/2108.06888 (2021) - [i95]Mostafa Rahmani, Rasoul Shafipour, Ping Li:
Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures. CoRR abs/2108.07028 (2021) - [i94]Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li:
On the Convergence of Decentralized Adaptive Gradient Methods. CoRR abs/2109.03194 (2021) - [i93]Xiaoyun Li, Ping Li:
C-MinHash: Rigorously Reducing K Permutations to Two. CoRR abs/2109.03337 (2021) - [i92]Sujay Bhatt, Ping Li, Gennady Samorodnitsky:
Extreme Bandits using Robust Statistics. CoRR abs/2109.04433 (2021) - [i91]Xiaoyun Li, Ping Li:
C-MinHash: Practically Reducing Two Permutations to Just One. CoRR abs/2109.04595 (2021) - [i90]Xiangyi Chen, Xiaoyun Li, Ping Li:
Toward Communication Efficient Adaptive Gradient Method. CoRR abs/2109.05109 (2021) - [i89]Yingzhen Yang, Ping Li:
Discriminative Similarity for Data Clustering. CoRR abs/2109.08675 (2021) - [i88]Belhal Karimi, Xiaoyun Li, Ping Li:
Fed-LAMB: Layerwise and Dimensionwise Locally Adaptive Optimization Algorithm. CoRR abs/2110.00532 (2021) - [i87]Shuo Chen, Tan Yu, Ping Li:
MVT: Multi-view Vision Transformer for 3D Object Recognition. CoRR abs/2110.13083 (2021) - [i86]Xiaoyun Li, Ping Li:
C-OPH: Improving the Accuracy of One Permutation Hashing (OPH) with Circulant Permutations. CoRR abs/2111.09544 (2021) - [i85]Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction. CoRR abs/2112.13528 (2021) - 2020
- [j18]Martin Slawski, Emanuel Ben-David, Ping Li:
Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data. J. Mach. Learn. Res. 21: 204:1-204:42 (2020) - [j17]Xiao-Tong Yuan, Ping Li:
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond. J. Mach. Learn. Res. 21: 206:1-206:51 (2020) - [c151]Xiaoyun Li, Chengxi Wu, Ping Li:
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation. AAAI 2020: 4747-4754 - [c150]Peng Yang, Ping Li:
Distributed Primal-Dual Optimization for Online Multi-Task Learning. AAAI 2020: 6631-6638 - [c149]Haiyan Yin, Dingcheng Li, Xu Li, Ping Li:
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. AAAI 2020: 9466-9473 - [c148]Hongliang Fei, Ping Li:
Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning. ACL 2020: 5759-5771 - [c147]Jingyuan Zhang, Mingming Sun, Yue Feng, Ping Li:
Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts. ACL 2020: 8045-8056 - [c146]Peng Yang, Ping Li:
Adaptive Online Kernel Sampling for Vertex Classification. AISTATS 2020: 363-373 - [c145]Yunfeng Cai, Ping Li:
An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem. AISTATS 2020: 3460-3470 - [c144]Yunfeng Cai, Ping Li:
Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations. AISTATS 2020: 4162-4172 - [c143]Jerry Chee, Ping Li:
Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum. IEEE BigData 2020: 133-140 - [c142]Hongliang Fei, Shulong Tan, Pengju Guo, Wenbo Zhang, Hongfang Zhang, Ping Li:
Sample Optimization For Display Advertising. CIKM 2020: 2017-2020 - [c141]Yue Feng, Miao Fan, Mingming Sun, Ping Li:
A Reinforced Semi-supervised Neural Network for Helpful Review Identification. CIKM 2020: 2021-2024 - [c140]Yi Hao, Ping Li:
Bessel Smoothing and Multi-Distribution Property Estimation. COLT 2020: 1817-1876 - [c139]Xiao-Tong Yuan, Ping Li:
Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding. COLT 2020: 3787-3813 - [c138]Xiaoyun Li, Jie Gui, Ping Li:
Randomized Kernel Multi-View Discriminant Analysis. ECAI 2020: 1276-1284 - [c137]Tan Yu, Yunfeng Cai, Ping Li:
Toward Faster and Simpler Matrix Normalization via Rank-1 Update. ECCV (19) 2020: 203-219 - [c136]Mingming Sun, Wenyue Hua, Zoey Liu, Xin Wang, Kangjie Zheng, Ping Li:
A Predicate-Function-Argument Annotation of Natural Language for Open-Domain Information eXpression. EMNLP (1) 2020: 2140-2150 - [c135]Chenglin Fan, Ping Li:
Classification Acceleration via Merging Decision Trees. FODS 2020: 13-22 - [c134]Xiangyi Chen, Xiaoyun Li, Ping Li:
Toward Communication Efficient Adaptive Gradient Method. FODS 2020: 119-128 - [c133]Weijie Zhao, Shulong Tan, Ping Li:
SONG: Approximate Nearest Neighbor Search on GPU. ICDE 2020: 1033-1044 - [c132]Mostafa Rahmani, Ping Li:
The Necessity of Geometrical Representation for Deep Graph Analysis. ICDM 2020: 1232-1237 - [c131]Hang Zhang, Ping Li:
Optimal Estimator for Unlabeled Linear Regression. ICML 2020: 11153-11162 - [c130]Tan Yu, Yi Yang, Yi Li, Xiaodong Chen, Mingming Sun, Ping Li:
Combo-Attention Network for Baidu Video Advertising. KDD 2020: 2474-2482 - [c129]Weijie Zhao, Deping Xie, Ronglai Jia, Yulei Qian, Ruiquan Ding, Mingming Sun, Ping Li:
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems. MLSys 2020 - [c128]Yi Hao, Ping Li:
Optimal Prediction of the Number of Unseen Species with Multiplicity. NeurIPS 2020 - [c127]Hexuan Liu, Yunfeng Cai, You-Lin Chen, Ping Li:
Ratio Trace Formulation of Wasserstein Discriminant Analysis. NeurIPS 2020 - [c126]Shaogang Ren, Weijie Zhao, Ping Li:
Thunder: a Fast Coordinate Selection Solver for Sparse Learning. NeurIPS 2020 - [c125]Yingxue Zhou, Belhal Karimi, Jinxing Yu, Zhiqiang Xu, Ping Li:
Towards Better Generalization of Adaptive Gradient Methods. NeurIPS 2020 - [c124]Guiliang Liu, Xu Li, Mingming Sun, Ping Li:
An Advantage Actor-Critic Algorithm with Confidence Exploration for Open Information Extraction. SDM 2020: 217-225 - [c123]Dingcheng Li, Xu Li, Jun Wang, Ping Li:
Video Recommendation with Multi-gate Mixture of Experts Soft Actor Critic. SIGIR 2020: 1553-1556 - [c122]Zhiqiang Xu, Ping Li:
A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace. UAI 2020: 819-828 - [c121]Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li:
Fast Item Ranking under Neural Network based Measures. WSDM 2020: 591-599 - [c120]Shaogang Ren, Dingcheng Li, Zhixin Zhou, Ping Li:
Estimate the Implicit Likelihoods of GANs with Application to Anomaly Detection. WWW 2020: 2287-2297 - [c119]Peng Yang, Ping Li:
Efficient Online Multi-Task Learning via Adaptive Kernel Selection. WWW 2020: 2465-2471 - [c118]Guiliang Liu, Xu Li, Jiakang Wang, Mingming Sun, Ping Li:
Extracting Knowledge from Web Text with Monte Carlo Tree Search. WWW 2020: 2585-2591 - [c117]Xin Wang, Xu Li, Jinxing Yu, Mingming Sun, Ping Li:
Improved Touch-screen Inputting Using Sequence-level Prediction Generation. WWW 2020: 3077-3083 - [i84]Weijie Zhao, Deping Xie, Ronglai Jia, Yulei Qian, Ruiquan Ding, Mingming Sun, Ping Li:
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems. CoRR abs/2003.05622 (2020) - [i83]Yunfeng Cai, Ping Li:
An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem. CoRR abs/2003.10897 (2020) - [i82]Yunfeng Cai, Ping Li:
Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations. CoRR abs/2003.10992 (2020) - [i81]Haiyan Yin, Dingcheng Li, Xu Li, Ping Li:
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. CoRR abs/2003.11530 (2020) - [i80]Xiaoyun Li, Jie Gui, Ping Li:
Randomized Kernel Multi-view Discriminant Analysis. CoRR abs/2004.01143 (2020) - [i79]Xiaoyun Li, Chengxi Wu, Ping Li:
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation. CoRR abs/2004.01299 (2020) - [i78]Peng Yang, Ping Li:
Distributed Primal-Dual Optimization for Online Multi-Task Learning. CoRR abs/2004.01305 (2020) - [i77]Farzin Haddadpour, Belhal Karimi, Ping Li, Xiaoyun Li:
FedSKETCH: Communication-Efficient and Private Federated Learning via Sketching. CoRR abs/2008.04975 (2020) - [i76]Jerry Chee, Ping Li:
Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum. CoRR abs/2008.12224 (2020) - [i75]Yunfeng Cai, Ping Li:
Tensor Completion via Tensor Networks with a Tucker Wrapper. CoRR abs/2010.15819 (2020) - [i74]Yunfeng Cai, Ping Li:
Identification of Matrix Joint Block Diagonalization. CoRR abs/2011.01111 (2020) - [i73]Jianwen Xie, Zilong Zheng, Ping Li:
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler. CoRR abs/2012.14936 (2020)
2010 – 2019
- 2019
- [c116]Ping Li:
Sign-Full Random Projections. AAAI 2019: 4205-4212 - [c115]Xu Li, Mingming Sun, Ping Li:
Multi-Agent Discussion Mechanism for Natural Language Generation. AAAI 2019: 6096-6103 - [c114]Hongliang Fei, Xu Li, Dingcheng Li, Ping Li:
End-to-end Deep Reinforcement Learning Based Coreference Resolution. ACL (1) 2019: 660-665 - [c113]Jie Shen, Pranjal Awasthi, Ping Li:
Robust Matrix Completion from Quantized Observations. AISTATS 2019: 397-407 - [c112]Mingming Sun, Ping Li:
Graph to Graph: a Topology Aware Approach for Graph Structures Learning and Generation. AISTATS 2019: 2946-2955 - [c111]Weijie Zhao, Jingyuan Zhang, Deping Xie, Yulei Qian, Ronglai Jia, Ping Li:
AIBox: CTR Prediction Model Training on a Single Node. CIKM 2019: 319-328 - [c110]Miao Fan, Yeqi Bai, Mingming Sun, Ping Li:
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features. CIKM 2019: 2353-2356 - [c109]Miao Fan, Jizhou Huang, An Zhuo, Ying Li, Ping Li, Haifeng Wang:
MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban Data. CIKM 2019: 2655-2663 - [c108]Miao Fan, Chao Feng, Mingming Sun, Ping Li:
Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews. EMNLP/IJCNLP (1) 2019: 1675-1683 - [c107]Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li:
On Efficient Retrieval of Top Similarity Vectors. EMNLP/IJCNLP (1) 2019: 5235-5245 - [c106]Ping Li, Phan-Minh Nguyen:
On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training. ICLR 2019 - [c105]Zeyu Dai, Hongliang Fei, Ping Li:
Coreference Aware Representation Learning for Neural Named Entity Recognition. IJCAI 2019: 4946-4953 - [c104]Hang Zhang, Martin Slawski, Ping Li:
Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing. ISIT 2019: 1857-1861 - [c103]Hongliang Fei, Shulong Tan, Ping Li:
Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction. KDD 2019: 834-842 - [c102]Miao Fan, Jiacheng Guo, Shuai Zhu, Shuo Miao, Mingming Sun, Ping Li:
MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search. KDD 2019: 2509-2517 - [c101]Dingcheng Li, Siamak Zamani, Jingyuan Zhang, Ping Li:
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process. NAACL-HLT (1) 2019: 940-950 - [c100]Zhixin Zhou, Shulong Tan, Zhaozhuo Xu, Ping Li:
Möbius Transformation for Fast Inner Product Search on Graph. NeurIPS 2019: 8216-8227 - [c99]Xiaoyun Li, Ping Li:
Random Projections with Asymmetric Quantization. NeurIPS 2019: 10857-10866 - [c98]Mostafa Rahmani, Ping Li:
Outlier Detection and Robust PCA Using a Convex Measure of Innovation. NeurIPS 2019: 14200-14210 - [c97]Zhiqiang Xu, Ping Li:
Towards Practical Alternating Least-Squares for CCA. NeurIPS 2019: 14737-14746 - [c96]Xiaoyun Li, Ping Li:
Generalization Error Analysis of Quantized Compressive Learning. NeurIPS 2019: 15124-15134 - [c95]Ping Li, Xiaoyun Li, Cun-Hui Zhang:
Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling. NeurIPS 2019: 15900-15910 - [c94]Chaochun Liu, Yaliang Li, Hongliang Fei, Ping Li:
Deep Skip-Gram Networks for Text Classification. SDM 2019: 145-153 - [c93]Miao Fan, Chao Feng, Mingming Sun, Ping Li, Haifeng Wang:
Reading Customer Reviews to Answer Product-related Questions. SDM 2019: 567-575 - [c92]Dingcheng Li, Jingyuan Zhang, Ping Li:
TMSA: A Mutual Learning Model for Topic Discovery and Word Embedding. SDM 2019: 684-692 - [c91]Martin Slawski, Mostafa Rahmani, Ping Li:
A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels. UAI 2019: 38-48 - [c90]Xiao Huang, Jingyuan Zhang, Dingcheng Li, Ping Li:
Knowledge Graph Embedding Based Question Answering. WSDM 2019: 105-113 - [c89]Dingcheng Li, Jingyuan Zhang, Ping Li:
Large Scale Semantic Indexing with Deep Level-wise Extreme Multi-label Learning. WWW 2019: 950-960 - [c88]Miao Fan, Chao Feng, Lin Guo, Mingming Sun, Ping Li:
Product-Aware Helpfulness Prediction of Online Reviews. WWW 2019: 2715-2721 - [i72]Jun-Kun Wang, Xiaoyun Li, Ping Li:
Optimistic Adaptive Acceleration for Optimization. CoRR abs/1903.01435 (2019) - [i71]Mingming Sun, Xu Li, Xin Wang, Miao Fan, Yue Feng, Ping Li:
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction. CoRR abs/1904.12535 (2019) - [i70]Martin Slawski, Emanuel Ben-David, Ping Li:
A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data. CoRR abs/1907.07148 (2019) - [i69]Xiao-Tong Yuan, Ping Li:
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond. CoRR abs/1908.02246 (2019) - [i68]Hang Zhang, Martin Slawski, Ping Li:
Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing. CoRR abs/1909.02496 (2019) - [i67]Mostafa Rahmani, Ping Li:
Graph Analysis and Graph Pooling in the Spatial Domain. CoRR abs/1910.01589 (2019) - [i66]Fan Zhou, Ping Li:
A Fourier Analytical Approach to Estimation of Smooth Functions in Gaussian Shift Model. CoRR abs/1911.02010 (2019) - [i65]Mostafa Rahmani, Ping Li:
Outlier Detection and Data Clustering via Innovation Search. CoRR abs/1912.12988 (2019) - 2018
- [j16]Martin Slawski, Ping Li:
On the Trade-Off Between Bit Depth and Number of Samples for a Basic Approach to Structured Signal Recovery From b-Bit Quantized Linear Measurements. IEEE Trans. Inf. Theory 64(6): 4159-4178 (2018) - [c87]Miao Fan, Yue Feng, Mingming Sun, Ping Li, Haifeng Wang, Jianmin Wang:
Multi-Task Neural Learning Architecture for End-to-End Identification of Helpful Reviews. ASONAM 2018: 343-350 - [c86]Dingcheng Li, Jingyuan Zhang, Ping Li:
Representation Learning for Question Classification via Topic Sparse Autoencoder and Entity Embedding. IEEE BigData 2018: 126-133 - [c85]Jun Hu, Ping Li:
Collaborative Multi-objective Ranking. CIKM 2018: 1363-1372 - [c84]Jingyuan Zhang, Xin Wang, Yue Feng, Mingming Sun, Ping Li:
FastInput: Improving Input Efficiency on Mobile Devices. CIKM 2018: 2057-2065 - [c83]Miao Fan, Wutao Lin, Yue Feng, Mingming Sun, Ping Li:
A Globalization-Semantic Matching Neural Network for Paraphrase Identification. CIKM 2018: 2067-2075 - [c82]Mingming Sun, Xu Li, Ping Li:
Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain. EMNLP 2018: 2119-2130 - [c81]Jie Gui, Ping Li:
Multi-view Feature Selection for Heterogeneous Face Recognition. ICDM 2018: 983-988 - [c80]Jing Wang, Jie Shen, Ping Li:
Provable Variable Selection for Streaming Features. ICML 2018: 5158-5166 - [c79]Jie Gui, Ping Li:
R 2 SDH: Robust Rotated Supervised Discrete Hashing. KDD 2018: 1485-1493 - [c78]Jun Hu, Ping Li:
Collaborative Filtering via Additive Ordinal Regression. WSDM 2018: 243-251 - [c77]Mingming Sun, Xu Li, Xin Wang, Miao Fan, Yue Feng, Ping Li:
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction. WSDM 2018: 556-564 - [i64]Ping Li:
Sign-Full Random Projections. CoRR abs/1805.00533 (2018) - 2017
- [j15]Xiao-Tong Yuan, Ping Li, Tong Zhang:
Gradient Hard Thresholding Pursuit. J. Mach. Learn. Res. 18: 166:1-166:43 (2017) - [j14]Jie Shen, Ping Li:
A Tight Bound of Hard Thresholding. J. Mach. Learn. Res. 18: 208:1-208:42 (2017) - [j13]Jie Shen, Huan Xu, Ping Li:
Online optimization for max-norm regularization. Mach. Learn. 106(3): 419-457 (2017) - [j12]Guangcan Liu, Qingshan Liu, Ping Li:
Blessing of Dimensionality: Recovering Mixture Data via Dictionary Pursuit. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 47-60 (2017) - [j11]Jing Wang, Jie Shen, Ping Li:
Object proposal with kernelized partial ranking. Pattern Recognit. 69: 299-309 (2017) - [j10]Jian Wang, Ping Li:
Recovery of Sparse Signals Using Multiple Orthogonal Least Squares. IEEE Trans. Signal Process. 65(8): 2049-2062 (2017) - [c76]Armin Eftekhari, Michael B. Wakin, Ping Li, Paul G. Constantine, Rachel A. Ward:
Learning the second-moment matrix of a smooth function from point samples. ACSSC 2017: 671-675 - [c75]Ping Li:
Binary and Multi-Bit Coding for Stable Random Projections. AISTATS 2017: 1430-1438 - [c74]Jun Hu, Yuxin Wang, Ping Li:
Online city-scale hyper-local event detection via analysis of social media and human mobility. IEEE BigData 2017: 626-635 - [c73]Jie Shen, Ping Li:
On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit. ICML 2017: 3115-3124 - [c72]Ping Li:
Linearized GMM Kernels and Normalized Random Fourier Features. KDD 2017: 315-324 - [c71]Jie Shen, Ping Li:
Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery. NIPS 2017: 3124-3134 - [c70]Ping Li, Martin Slawski:
Simple strategies for recovering inner products from coarsely quantized random projections. NIPS 2017: 4567-4576 - [c69]Jing Wang, Jie Shen, Ping Li, Huan Xu:
Online Matrix Completion for Signed Link Prediction. WSDM 2017: 475-484 - [c68]Ping Li, Cun-Hui Zhang:
Theory of the GMM Kernel. WWW 2017: 1053-1062 - [c67]Jun Hu, Ping Li:
Decoupled Collaborative Ranking. WWW 2017: 1321-1329 - [i63]Ping Li:
Tunable GMM Kernels. CoRR abs/1701.02046 (2017) - 2016
- [j9]Jian Wang, Suhyuk Kwon, Ping Li, Byonghyo Shim:
Recovery of Sparse Signals via Generalized Orthogonal Matching Pursuit: A New Analysis. IEEE Trans. Signal Process. 64(4): 1076-1089 (2016) - [j8]Guangcan Liu, Ping Li:
Low-Rank Matrix Completion in the Presence of High Coherence. IEEE Trans. Signal Process. 64(21): 5623-5633 (2016) - [c66]Jie Shen, Ping Li:
Learning Structured Low-Rank Representation via Matrix Factorization. AISTATS 2016: 500-509 - [c65]Ping Li:
One Scan 1-Bit Compressed Sensing. AISTATS 2016: 1515-1523 - [c64]Jun Hu, Ping Li:
Improved and Scalable Bradley-Terry Model for Collaborative Ranking. ICDM 2016: 949-954 - [c63]Jie Shen, Ping Li, Huan Xu:
Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit. ICML 2016: 622-631 - [c62]Ping Li, Michael Mitzenmacher, Martin Slawski:
Quantized Random Projections and Non-Linear Estimation of Cosine Similarity. NIPS 2016: 2748-2756 - [c61]Xiao-Tong Yuan, Ping Li, Tong Zhang:
Exact Recovery of Hard Thresholding Pursuit. NIPS 2016: 3558-3566 - [c60]Xiao-Tong Yuan, Ping Li, Tong Zhang, Qingshan Liu, Guangcan Liu:
Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation. NIPS 2016: 4367-4375 - [i62]Ping Li, Michael Mitzenmacher, Anshumali Shrivastava:
2-Bit Random Projections, NonLinear Estimators, and Approximate Near Neighbor Search. CoRR abs/1602.06577 (2016) - [i61]Ping Li:
A Comparison Study of Nonlinear Kernels. CoRR abs/1603.06541 (2016) - [i60]Ping Li, Syama Sundar Rangapuram, Martin Slawski:
Methods for Sparse and Low-Rank Recovery under Simplex Constraints. CoRR abs/1605.00507 (2016) - [i59]Jie Shen, Ping Li:
A Tight Bound of Hard Thresholding. CoRR abs/1605.01656 (2016) - [i58]Ping Li:
Generalized Min-Max Kernel and Generalized Consistent Weighted Sampling. CoRR abs/1605.05721 (2016) - [i57]Martin Slawski, Ping Li:
Linear signal recovery from b-bit-quantized linear measurements: precise analysis of the trade-off between bit depth and number of measurements. CoRR abs/1607.02649 (2016) - [i56]Ping Li:
Nystrom Method for Approximating the GMM Kernel. CoRR abs/1607.03475 (2016) - [i55]Ping Li, Cun-Hui Zhang:
Theory of the GMM Kernel. CoRR abs/1608.00550 (2016) - [i54]Armin Eftekhari, Ping Li, Michael B. Wakin, Rachel A. Ward:
Learning the Differential Correlation Matrix of a Smooth Function From Point Samples. CoRR abs/1612.06339 (2016) - [i53]Ping Li:
Generalized Intersection Kernel. CoRR abs/1612.09283 (2016) - 2015
- [j7]Andy Jinhua Ma, Jiawei Li, Pong C. Yuen, Ping Li:
Cross-Domain Person Reidentification Using Domain Adaptation Ranking SVMs. IEEE Trans. Image Process. 24(5): 1599-1613 (2015) - [c59]Ping Li, Cun-Hui Zhang:
Compressed Sensing with Very Sparse Gaussian Random Projections. AISTATS 2015 - [c58]Peilin Zhao, Jinwei Yang, Tong Zhang, Ping Li:
Adaptive Stochastic Alternating Direction Method of Multipliers. ICML 2015: 69-77 - [c57]Ping Li:
0-Bit Consistent Weighted Sampling. KDD 2015: 665-674 - [c56]Martin Slawski, Ping Li:
b-bit Marginal Regression. NIPS 2015: 2062-2070 - [c55]Martin Slawski, Ping Li, Matthias Hein:
Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices. NIPS 2015: 2782-2790 - [c54]Anshumali Shrivastava, Ping Li:
Improved Asymmetric Locality Sensitive Hashing (ALSH) for Maximum Inner Product Search (MIPS). UAI 2015: 812-821 - [c53]Anshumali Shrivastava, Ping Li:
Asymmetric Minwise Hashing for Indexing Binary Inner Products and Set Containment. WWW 2015: 981-991 - [i52]Ping Li:
Min-Max Kernels. CoRR abs/1503.01737 (2015) - [i51]Ping Li:
One Scan 1-Bit Compressed Sensing. CoRR abs/1503.02346 (2015) - [i50]Ping Li:
Binary and Multi-Bit Coding for Stable Random Projections. CoRR abs/1503.06876 (2015) - [i49]Martin Slawski, Ping Li, Matthias Hein:
Regularization-free estimation in trace regression with symmetric positive semidefinite matrices. CoRR abs/1504.06305 (2015) - [i48]Ping Li:
Sign Stable Random Projections for Large-Scale Learning. CoRR abs/1504.07235 (2015) - 2014
- [c52]Andy Jinhua Ma, Ping Li:
Query Based Adaptive Re-ranking for Person Re-identification. ACCV (5) 2014: 397-412 - [c51]Andy Jinhua Ma, Ping Li:
Semi-Supervised Ranking for Re-identification with Few Labeled Image Pairs. ACCV (4) 2014: 598-613 - [c50]Anshumali Shrivastava, Ping Li:
In Defense of Minhash over Simhash. AISTATS 2014: 886-894 - [c49]Anshumali Shrivastava, Ping Li:
A new space for comparing graphs. ASONAM 2014: 62-71 - [c48]Ping Li, Cun-Hui Zhang, Tong Zhang:
Compressed Counting Meets Compressed Sensing. COLT 2014: 1058-1077 - [c47]Xiao-Tong Yuan, Ping Li:
Sparse Additive Subspace Clustering. ECCV (3) 2014: 644-659 - [c46]Xiaotong Yuan, Ping Li, Tong Zhang:
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization. ICML 2014: 127-135 - [c45]Anshumali Shrivastava, Ping Li:
Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search. ICML 2014: 557-565 - [c44]Ping Li, Michael Mitzenmacher, Anshumali Shrivastava:
Coding for Random Projections. ICML 2014: 676-684 - [c43]Guangcan Liu, Ping Li:
Recovery of Coherent Data via Low-Rank Dictionary Pursuit. NIPS 2014: 1206-1214 - [c42]Jie Shen, Huan Xu, Ping Li:
Online Optimization for Max-Norm Regularization. NIPS 2014: 1718-1726 - [c41]Anshumali Shrivastava, Ping Li:
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS). NIPS 2014: 2321-2329 - [c40]Ping Li:
CoRE Kernels. UAI 2014: 496-504 - [c39]Anshumali Shrivastava, Ping Li:
Improved Densification of One Permutation Hashing. UAI 2014: 732-741 - [i47]Ping Li, Cun-Hui Zhang, Tong Zhang:
Sparse Recovery with Very Sparse Compressed Counting. CoRR abs/1401.0201 (2014) - [i46]Ping Li, Michael Mitzenmacher, Anshumali Shrivastava:
Coding for Random Projections and Approximate Near Neighbor Search. CoRR abs/1403.8144 (2014) - [i45]Guangcan Liu, Ping Li:
Recovery of Coherent Data via Low-Rank Dictionary Pursuit. CoRR abs/1404.4032 (2014) - [i44]Anshumali Shrivastava, Ping Li:
A New Space for Comparing Graphs. CoRR abs/1404.4644 (2014) - [i43]Guangcan Liu, Ping Li:
Advancing Matrix Completion by Modeling Extra Structures beyond Low-Rankness. CoRR abs/1404.4646 (2014) - [i42]Anshumali Shrivastava, Ping Li:
Graph Kernels via Functional Embedding. CoRR abs/1404.5214 (2014) - [i41]Ping Li:
CoRE Kernels. CoRR abs/1404.6216 (2014) - [i40]Anshumali Shrivastava, Ping Li:
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS). CoRR abs/1405.5869 (2014) - [i39]Jie Shen, Huan Xu, Ping Li:
Online Optimization for Max-Norm Regularization. CoRR abs/1406.3190 (2014) - [i38]Anshumali Shrivastava, Ping Li:
Improved Densification of One Permutation Hashing. CoRR abs/1406.4784 (2014) - [i37]Anshumali Shrivastava, Ping Li:
In Defense of MinHash Over SimHash. CoRR abs/1407.4416 (2014) - [i36]Ping Li, Cun-Hui Zhang:
Compressed Sensing with Very Sparse Gaussian Random Projections. CoRR abs/1408.2504 (2014) - [i35]Jian Wang, Ping Li:
Recovery of Sparse Signals Using Multiple Orthogonal Least Squares. CoRR abs/1410.2505 (2014) - [i34]Anshumali Shrivastava, Ping Li:
An Improved Scheme for Asymmetric LSH. CoRR abs/1410.5410 (2014) - [i33]Anshumali Shrivastava, Ping Li:
Asymmetric Minwise Hashing. CoRR abs/1411.3787 (2014) - 2013
- [c38]Ping Li, Anshumali Shrivastava, Arnd Christian König:
b-bit minwise hashing in practice. Internetware 2013: 13:1-13:10 - [c37]Ping Li, Cun-Hui Zhang:
Exact sparse recovery with L0 projections. KDD 2013: 302-310 - [c36]Anshumali Shrivastava, Ping Li:
Beyond Pairwise: Provably Fast Algorithms for Approximate k-Way Similarity Search. NIPS 2013: 791-799 - [c35]Ping Li, Gennady Samorodnitsky, John E. Hopcroft:
Sign Cauchy Projections and Chi-Square Kernel. NIPS 2013: 2571-2579 - [i32]Ping Li, Cun-Hui Zhang:
Exact Sparse Recovery with L0 Projections. CoRR abs/1302.0895 (2013) - [i31]Ping Li, Gennady Samorodnitsky, John E. Hopcroft:
Sign Stable Projections, Sign Cauchy Projections and Chi-Square Kernels. CoRR abs/1308.1009 (2013) - [i30]Ping Li, Michael Mitzenmacher, Anshumali Shrivastava:
Coding for Random Projections. CoRR abs/1308.2218 (2013) - [i29]Ping Li, Cun-Hui Zhang, Tong Zhang:
Compressed Counting Meets Compressed Sensing. CoRR abs/1310.1076 (2013) - [i28]Xiao-Tong Yuan, Ping Li, Tong Zhang:
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization. CoRR abs/1311.5750 (2013) - [i27]Peilin Zhao, Jinwei Yang, Tong Zhang, Ping Li:
Accelerating Stochastic Alternating Direction Method of Multipliers with Adaptive Subgradient. CoRR abs/1312.4564 (2013) - 2012
- [j6]Fei Wang, Ping Li, Arnd Christian König, Muting Wan:
Improving clustering by learning a bi-stochastic data similarity matrix. Knowl. Inf. Syst. 32(2): 351-382 (2012) - [c34]Xu Sun, Anshumali Shrivastava, Ping Li:
Fast multi-task learning for query spelling correction. CIKM 2012: 285-294 - [c33]Ping Li, Art B. Owen, Cun-Hui Zhang:
One Permutation Hashing. NIPS 2012: 3122-3130 - [c32]Ping Li, Cun-Hui Zhang:
Entropy Estimations Using Correlated Symmetric Stable Random Projections. NIPS 2012: 3185-3193 - [c31]Anshumali Shrivastava, Ping Li:
Fast Near Neighbor Search in High-Dimensional Binary Data. ECML/PKDD (1) 2012: 474-489 - [c30]Ping Li, Anshumali Shrivastava, Arnd Christian König:
GPU-based minwise hashing: GPU-based minwise hashing. WWW (Companion Volume) 2012: 565-566 - [c29]Xu Sun, Anshumali Shrivastava, Ping Li:
Query spelling correction using multi-task learning. WWW (Companion Volume) 2012: 613-614 - [c28]Radhendushka Srivastava, Ping Li, Debasis Sengupta:
Testing for Membership to the IFRA and the NBU Classes of Distributions. AISTATS 2012: 1099-1107 - [i26]Ping Li:
Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost. CoRR abs/1203.3491 (2012) - [i25]Ping Li, Michael W. Mahoney, Yiyuan She:
Approximating Higher-Order Distances Using Random Projections. CoRR abs/1203.3492 (2012) - [i24]Ping Li:
Improving Compressed Counting. CoRR abs/1205.2632 (2012) - [i23]Ping Li, Anshumali Shrivastava, Arnd Christian König:
b-Bit Minwise Hashing in Practice: Large-Scale Batch and Online Learning and Using GPUs for Fast Preprocessing with Simple Hash Functions. CoRR abs/1205.2958 (2012) - [i22]Ping Li, Art B. Owen, Cun-Hui Zhang:
One Permutation Hashing for Efficient Search and Learning. CoRR abs/1208.1259 (2012) - 2011
- [j5]Ping Li, Arnd Christian König:
Theory and applications of b-bit minwise hashing. Commun. ACM 54(8): 101-109 (2011) - [c27]Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda, Ping Li:
A New Multi-task Learning Method for Personalized Activity Recognition. ICDM 2011: 1218-1223 - [c26]Chenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, Ping Li:
User-level sentiment analysis incorporating social networks. KDD 2011: 1397-1405 - [c25]Ping Li, Anshumali Shrivastava, Joshua L. Moore, Arnd Christian König:
Hashing Algorithms for Large-Scale Learning. NIPS 2011: 2672-2680 - [c24]Haiquan (Chuck) Zhao, Nan Hua, Ashwin Lall, Ping Li, Jia Wang, Jun (Jim) Xu:
Towards a Universal Sketch for Origin-Destination Network Measurements. NPC 2011: 201-213 - [c23]Fei Wang, Ping Li, Arnd Christian König:
Efficient Document Clustering via Online Nonnegative Matrix Factorizations. SDM 2011: 908-919 - [c22]Ping Li, Cun-Hui Zhang:
A New Algorithm for Compressed Counting with Applications in Shannon Entropy Estimation in Dynamic Data. COLT 2011: 477-496 - [i21]Ping Li, Joshua L. Moore, Arnd Christian König:
b-Bit Minwise Hashing for Large-Scale Linear SVM. CoRR abs/1105.4385 (2011) - [i20]Ping Li, Anshumali Shrivastava, Joshua L. Moore, Arnd Christian König:
Hashing Algorithms for Large-Scale Learning. CoRR abs/1106.0967 (2011) - [i19]Ping Li, Arnd Christian König:
Accurate Estimators for Improving Minwise Hashing and b-Bit Minwise Hashing. CoRR abs/1108.0895 (2011) - [i18]Ping Li, Anshumali Shrivastava, Arnd Christian König:
Training Logistic Regression and SVM on 200GB Data Using b-Bit Minwise Hashing and Comparisons with Vowpal Wabbit (VW). CoRR abs/1108.3072 (2011) - [i17]Chenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, Ping Li:
User-level sentiment analysis incorporating social networks. CoRR abs/1109.6018 (2011) - 2010
- [j4]Sham M. Kakade, Ping Li:
Guest editorial: special issue on learning theory. Mach. Learn. 80(2-3): 109-110 (2010) - [c21]Fei Wang, Ping Li, Arnd Christian König:
Learning a Bi-Stochastic Data Similarity Matrix. ICDM 2010: 551-560 - [c20]Fei Wang, Ping Li:
Compressed Nonnegative Sparse Coding. ICDM 2010: 1103-1108 - [c19]Ping Li, Arnd Christian König, Wenhao Gui:
b-Bit Minwise Hashing for Estimating Three-Way Similarities. NIPS 2010: 1387-1395 - [c18]Fei Wang, Ping Li:
Efficient Nonnegative Matrix Factorization with Random Projections. SDM 2010: 281-292 - [c17]Ping Li:
Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost. UAI 2010: 302-311 - [c16]Ping Li, Michael W. Mahoney, Yiyuan She:
Approximating Higher-Order Distances Using Random Projections. UAI 2010: 312-321 - [c15]Ping Li, Arnd Christian König:
b-Bit minwise hashing. WWW 2010: 671-680 - [i16]Ping Li:
An Empirical Evaluation of Four Algorithms for Multi-Class Classification: Mart, ABC-Mart, Robust LogitBoost, and ABC-LogitBoost. CoRR abs/1001.1020 (2010) - [i15]Ping Li:
On Practical Algorithms for Entropy Estimation and the Improved Sample Complexity of Compressed Counting. CoRR abs/1004.3782 (2010) - [i14]Ping Li:
Fast ABC-Boost for Multi-Class Classification. CoRR abs/1006.5051 (2010)
2000 – 2009
- 2009
- [c14]Ping Li:
ABC-boost: adaptive base class boost for multi-class classification. ICML 2009: 625-632 - [c13]Ping Li:
Compressed counting. SODA 2009: 412-421 - [c12]Ping Li:
Improving Compressed Counting. UAI 2009: 329-338 - [r1]Ping Li:
Stable Distribution. Encyclopedia of Database Systems 2009: 2768-2771 - [i13]Ping Li:
ABC-LogitBoost for Multi-class Classification. CoRR abs/0908.4144 (2009) - [i12]Ping Li:
On the Sample Complexity of Compressed Counting. CoRR abs/0910.1403 (2009) - [i11]Ping Li:
Estimating Entropy of Data Streams Using Compressed Counting. CoRR abs/0910.1495 (2009) - [i10]Ping Li, Arnd Christian König:
b-Bit Minwise Hashing. CoRR abs/0910.3349 (2009) - 2008
- [c11]Ping Li:
Computationally Efficient Estimators for Dimension Reductions UsingStable Random Projections. ICDM 2008: 403-412 - [c10]Ping Li, Kenneth Ward Church, Trevor Hastie:
One sketch for all: Theory and Application of Conditional Random Sampling. NIPS 2008: 953-960 - [c9]Ping Li:
Estimators and tail bounds for dimension reduction in lα (0 < α ≤ 2) using stable random projections. SODA 2008: 10-19 - [i9]Ping Li:
On Approximating Frequency Moments of Data Streams with Skewed Projections. CoRR abs/0802.0802 (2008) - [i8]Ping Li:
Compressed Counting. CoRR abs/0802.2305 (2008) - [i7]Ping Li:
Computationally Efficient Estimators for Dimension Reductions Using Stable Random Projections. CoRR abs/0806.4422 (2008) - [i6]Ping Li:
On Approximating the Lp Distances for p>2. CoRR abs/0806.4423 (2008) - [i5]Ping Li:
The Optimal Quantile Estimator for Compressed Counting. CoRR abs/0808.1766 (2008) - [i4]Ping Li:
A Very Efficient Scheme for Estimating Entropy of Data Streams Using Compressed Counting. CoRR abs/0808.1771 (2008) - [i3]Ping Li:
Adaptive Base Class Boost for Multi-class Classification. CoRR abs/0811.1250 (2008) - 2007
- [j3]Ping Li, Kenneth Ward Church:
A Sketch Algorithm for Estimating Two-Way and Multi-Way Associations. Comput. Linguistics 33(3): 305-354 (2007) - [j2]Ping Li, Trevor Hastie, Kenneth Ward Church:
Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections. J. Mach. Learn. Res. 8: 2497-2532 (2007) - [c8]Ping Li, Trevor Hastie, Kenneth Ward Church:
Nonlinear Estimators and Tail Bounds for Dimension Reduction in l 1 Using Cauchy Random Projections. COLT 2007: 514-529 - [c7]Ping Li:
Very sparse stable random projections for dimension reduction in lalpha (0 <alpha<=2) norm. KDD 2007: 440-449 - [c6]Ping Li, Christopher J. C. Burges, Qiang Wu:
McRank: Learning to Rank Using Multiple Classification and Gradient Boosting. NIPS 2007: 897-904 - [c5]Ping Li, Trevor Hastie:
A Unified Near-Optimal Estimator For Dimension Reduction in lalpha(0 < alpha <= 2) Using Stable Random Projections. NIPS 2007: 905-912 - 2006
- [j1]Ping Li, Debashis Paul, Ravi Narasimhan, John M. Cioffi:
On the distribution of SINR for the MMSE MIMO receiver and performance analysis. IEEE Trans. Inf. Theory 52(1): 271-286 (2006) - [c4]Ping Li, Trevor Hastie, Kenneth Ward Church:
Improving Random Projections Using Marginal Information. COLT 2006: 635-649 - [c3]Ping Li, Trevor Hastie, Kenneth Ward Church:
Very sparse random projections. KDD 2006: 287-296 - [c2]Ping Li, Kenneth Ward Church, Trevor Hastie:
Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data. NIPS 2006: 873-880 - [i2]Ping Li, Trevor Hastie, Kenneth Ward Church:
Nonlinear Estimators and Tail Bounds for Dimension Reduction in $l_1$ Using Cauchy Random Projections. CoRR abs/cs/0610155 (2006) - [i1]Ping Li:
Very Sparse Stable Random Projections, Estimators and Tail Bounds for Stable Random Projections. CoRR abs/cs/0611114 (2006) - 2005
- [c1]Ping Li, Kenneth Ward Church:
Using Sketches to Estimate Associations. HLT/EMNLP 2005: 708-715
Coauthor Index
[c308] [c293] [c290] [c288] [c285] [c284] [c283] [c278] [c277] [i163] [i159] [i158] [i156] [c264] [c255] [c243] [c236] [c233] [c220] [c219] [i147] [i138] [i137] [i121] [i103] [c209] [c208] [c205] [c199] [c180] [c175] [c156] [c153] [i101] [i93] [i91] [i90] [i88] [i86] [c151] [c138] [c134] [i80] [i79] [i77] [c99] [c96] [c95] [i72]
[i167] [i166] [c300] [c294] [c282] [c273] [i155] [i150] [c270] [c256] [c249] [c246] [c242] [c224] [c222] [c216] [c210] [i146] [i144] [i140] [i135] [i123] [i116] [i102] [c196] [c190] [c189] [c179] [c160] [c152] [i100] [i98] [i97] [c147] [c141] [c136] [c130] [c129] [c124] [c118] [c117] [i84] [c115] [c112] [c110] [c108] [c102] [c93] [c88] [i71] [c87] [c84] [c83] [c82] [c77]
Xiao-Tong Yuan
aka: Xiaotong Yuan
aka: Xiaotong Yuan
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-08 20:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
