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ORCIDYuan Qi 0001
Yuan (Alan) Qi
Person information
- affiliation: Fudan University, AI3 Institute, Shanghai, China
- affiliation (former): Ant Financial Services Group, Hangzhou, China
- affiliation (former): Purdue University, Department of Computer Science and Statistics, West Lafayette, IN, USA
- affiliation (PhD 2005): Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
Other persons with the same name
- Yuan Qi — disambiguation page
- Yuan Qi 0002
![[0000-0002-2685-0340]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2685-0340")
— Beijing University of Posts and Telecommunications, School of Electronic Engineering, China - Yuan Qi 0003 — Central South University, Changsha, China
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2020 – today
- 2024
[j16]Shuai Liu, Shuo Chen, Lanlan Xiao, Kaixuan Zhang, Yuan Qi, Hao Li, Yuan Cheng, Zixin Hu, Chensen Lin:
Unraveling the motion and deformation characteristics of red blood cells in a deterministic lateral displacement device. Comput. Biol. Medicine 168: 107712 (2024)- [j15]Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Yuan Qi, Jieping Ye:
Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization. IEEE Trans. Knowl. Data Eng. 36(5): 2213-2223 (2024) - [j14]Xiaowu Dai, Wenlu Xu, Yuan Qi, Michael I. Jordan:
Incentive-Aware Recommender Systems in Two-Sided Markets. Trans. Recomm. Syst. 2(4): 32:1-32:38 (2024) - [c85]Shaojie Shi, Xiaoyu Tan, Xihe Qiu, Chao Qu, Kexin Nie, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi:
ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average. EMNLP (Industry Track) 2024: 755-762 - [c84]Junyi An, Chao Qu, Zhipeng Zhou, Fenglei Cao, Yinghui Xu, Yuan Qi, Furao Shen:
Hybrid Directional Graph Neural Network for Molecules. ICLR 2024 - [c83]Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi:
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs. ICML 2024 - [c82]Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi:
Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models. KDD 2024: 5762-5772 - [c81]Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi:
Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity. SIGIR 2024: 2384-2389 - [i54]Shiyi Qi, Zenglin Xu, Yiduo Li, Liangjian Wen, Qingsong Wen, Qifan Wang, Yuan Qi:
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations. CoRR abs/2402.16913 (2024) - [i53]Xin Pang, Zhucong Li, Jiaxiang Chen, Yuan Cheng, Yinghui Xu, Yuan Qi:
AI2Apps: A Visual IDE for Building LLM-based AI Agent Applications. CoRR abs/2404.04902 (2024) - [i52]Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi:
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs. CoRR abs/2405.20652 (2024) - [i51]Xiaoyu Tan, Haoyu Wang, Xihe Qiu, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi:
Struct-X: Enhancing Large Language Models Reasoning with Structured Data. CoRR abs/2407.12522 (2024) - [i50]Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu, Yujie Xiong, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi:
Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models. CoRR abs/2407.12532 (2024) - [i49]Xiaoyu Tan, Yongxin Deng, Xihe Qiu, Weidi Xu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi:
Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Though. CoRR abs/2407.14562 (2024) - [i48]Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Jing Pan, Jue Chen, Zhijun Fang, Yinghui Xu, Wei Chu, Yuan Qi:
Promoting Equality in Large Language Models: Identifying and Mitigating the Implicit Bias based on Bayesian Theory. CoRR abs/2408.10608 (2024) - [i47]Jiaxiang Chen, Song Wang, Zhucong Li, Wayne Xiong, Lizhen Qu, Zenglin Xu, Yuan Qi:
Can we only use guideline instead of shot in prompt? CoRR abs/2409.12979 (2024) - 2023
- [c80]Zhenting Qi, Xiaoyu Tan, Chao Qu, Yinghui Xu, Yuan Qi:
SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels. ACL (industry) 2023: 390-403 - [c79]Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi:
PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. EMNLP (Industry Track) 2023: 471-482 - [c78]Xiaoyu Tan, Shaojie Shi, Xihe Qiu, Chao Qu, Zhenting Qi, Yinghui Xu, Yuan Qi:
Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness. EMNLP (Industry Track) 2023: 650-662 - [c77]Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Yinghui Xu, Peng Cui, Yuan Qi:
Provably Invariant Learning without Domain Information. ICML 2023: 33563-33580 - [c76]Chen Jiang, Hong Liu, Xuzheng Yu, Qing Wang, Yuan Cheng, Jia Xu, Zhongyi Liu, Qingpei Guo, Wei Chu, Ming Yang, Yuan Qi:
Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning. ACM Multimedia 2023: 4626-4636 - [i46]Lei Chen, Xiaohui Zhong, Feng Zhang, Yuan Cheng, Yinghui Xu, Yuan Qi, Hao Li:
FuXi: A cascade machine learning forecasting system for 15-day global weather forecast. CoRR abs/2306.12873 (2023) - [i45]Chen Jiang, Hong Liu, Xuzheng Yu, Qing Wang, Yuan Cheng, Jia Xu, Zhongyi Liu, Qingpei Guo, Wei Chu, Ming Yang, Yuan Qi:
Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning. CoRR abs/2309.11082 (2023) - [i44]Yichi Zhang, Shiyao Hu, Chen Jiang, Yuan Cheng, Yuan Qi:
Segment Anything Model with Uncertainty Rectification for Auto-Prompting Medical Image Segmentation. CoRR abs/2311.10529 (2023) - [i43]Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi:
PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. CoRR abs/2312.05621 (2023) - [i42]Yichi Zhang, Yuan Cheng, Yuan Qi:
SemiSAM: Exploring SAM for Enhancing Semi-Supervised Medical Image Segmentation with Extremely Limited Annotations. CoRR abs/2312.06316 (2023) - 2022
- [c75]Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi:
Design Domain Specific Neural Network via Symbolic Testing. KDD 2022: 3219-3229 - [i41]Xiaowu Dai, Yuan Qi, Michael I. Jordan:
Incentive-Aware Recommender Systems in Two-Sided Markets. CoRR abs/2211.15381 (2022) - 2021
- [c74]Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He:
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. AAAI 2021: 14957-14965 - [c73]Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu:
Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation. CIKM 2021: 1834-1843 - [c72]Daixin Wang, Zhiqiang Zhang, Jun Zhou, Peng Cui, Jingli Fang, Quanhui Jia, Yanming Fang, Yuan Qi:
Temporal-Aware Graph Neural Network for Credit Risk Prediction. SDM 2021: 702-710 - [i40]Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi:
SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing. CoRR abs/2107.01326 (2021) - [i39]Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu:
Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation. CoRR abs/2111.02100 (2021) - 2020
- [j13]Dalong Zhang, Xin Huang, Ziqi Liu, Jun Zhou, Zhiyang Hu, Xianzheng Song, Zhibang Ge, Lin Wang, Zhiqiang Zhang, Yuan Qi:
AGL: A Scalable System for Industrial-purpose Graph Machine Learning. Proc. VLDB Endow. 13(12): 3125-3137 (2020) - [j12]Chaochao Chen, Jun Zhou, Bingzhe Wu, Wenjing Fang, Li Wang, Yuan Qi, Xiaolin Zheng:
Practical Privacy Preserving POI Recommendation. ACM Trans. Intell. Syst. Technol. 11(5): 52:1-52:20 (2020) - [c71]Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi:
Long Short-Term Sample Distillation. AAAI 2020: 4345-4352 - [c70]Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song:
Cost-Effective Incentive Allocation via Structured Counterfactual Inference. AAAI 2020: 4997-5004 - [c69]Xingyi Cheng, Weidi Xu, Kunlong Chen, Shaohua Jiang, Feng Wang, Taifeng Wang, Wei Chu, Yuan Qi:
SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check. ACL 2020: 871-881 - [c68]Xiaofu Chang, Xuqin Liu, Jianfeng Wen, Shuang Li, Yanming Fang, Le Song, Yuan Qi:
Continuous-Time Dynamic Graph Learning via Neural Interaction Processes. CIKM 2020: 145-154 - [c67]Binbin Hu, Zhiqiang Zhang, Jun Zhou, Jingli Fang, Quanhui Jia, Yanming Fang, Quan Yu, Yuan Qi:
Loan Default Analysis with Multiplex Graph Learning. CIKM 2020: 2525-2532 - [c66]Yankun Ren, Jianbin Lin, Siliang Tang, Jun Zhou, Shuang Yang, Yuan Qi, Xiang Ren:
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models. ECAI 2020: 2156-2163 - [c65]Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu:
Question Directed Graph Attention Network for Numerical Reasoning over Text. EMNLP (1) 2020: 6759-6768 - [c64]Hui Li, Kailiang Hu, Shaohua Zhang, Yuan Qi, Le Song:
Double Neural Counterfactual Regret Minimization. ICLR 2020 - [c63]Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song:
Efficient Probabilistic Logic Reasoning with Graph Neural Networks. ICLR 2020 - [c62]Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song:
Temporal Logic Point Processes. ICML 2020: 5990-6000 - [c61]Shuo Yang, Zhiqiang Zhang, Jun Zhou, Yang Wang, Wang Sun, Xingyu Zhong, Yanming Fang, Quan Yu, Yuan Qi:
Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining. IJCAI 2020: 4661-4667 - [c60]Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi:
Hubble: An Industrial System for Audience Expansion in Mobile Marketing. KDD 2020: 2455-2463 - [c59]Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi:
Bandit Samplers for Training Graph Neural Networks. NeurIPS 2020 - [i38]Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song:
Efficient Probabilistic Logic Reasoning with Graph Neural Networks. CoRR abs/2001.11850 (2020) - [i37]Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong:
How Much Can A Retailer Sell? Sales Forecasting on Tmall. CoRR abs/2002.11940 (2020) - [i36]Chen Liang, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li, Shuang Yang, Yuan Qi:
Uncovering Insurance Fraud Conspiracy with Network Learning. CoRR abs/2002.12789 (2020) - [i35]Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi:
Long Short-Term Sample Distillation. CoRR abs/2003.00739 (2020) - [i34]Daixin Wang, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang, Yuan Qi:
A Semi-supervised Graph Attentive Network for Financial Fraud Detection. CoRR abs/2003.01171 (2020) - [i33]Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi:
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. CoRR abs/2003.01515 (2020) - [i32]Dalong Zhang, Xin Huang, Ziqi Liu, Zhiyang Hu, Xianzheng Song, Zhibang Ge, Zhiqiang Zhang, Lin Wang, Jun Zhou, Shuang Yang, Yuan Qi:
AGL: a Scalable System for Industrial-purpose Graph Machine Learning. CoRR abs/2003.02454 (2020) - [i31]Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Xiukun Wang, Jun Zhou, Shuang Yang, Yuan Qi:
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. CoRR abs/2003.02833 (2020) - [i30]Chaochao Chen, Bingzhe Wu, Wenjin Fang, Jun Zhou, Li Wang, Yuan Qi, Xiaolin Zheng:
Practical Privacy Preserving POI Recommendation. CoRR abs/2003.02834 (2020) - [i29]Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan Qi:
RNE: A Scalable Network Embedding for Billion-scale Recommendation. CoRR abs/2003.07158 (2020) - [i28]Yankun Ren, Jianbin Lin, Siliang Tang, Jun Zhou, Shuang Yang, Yuan Qi, Xiang Ren:
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models. CoRR abs/2003.10388 (2020) - [i27]Jianbin Lin, Zhiqiang Zhang, Jun Zhou, Xiaolong Li, Jingli Fang, Yanming Fang, Quan Yu, Yuan Qi:
NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay. CoRR abs/2004.00201 (2020) - [i26]Chao Qu, Hui Li, Chang Liu, Junwu Xiong, James Zhang, Wei Chu, Yuan Qi, Le Song:
Intention Propagation for Multi-agent Reinforcement Learning. CoRR abs/2004.08883 (2020) - [i25]Xingyi Cheng, Weidi Xu, Kunlong Chen, Shaohua Jiang, Feng Wang, Taifeng Wang, Wei Chu, Yuan Qi:
SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check. CoRR abs/2004.14166 (2020) - [i24]Shijun Wang, Baocheng Zhu, Chen Li, Mingzhe Wu, James Zhang, Wei Chu, Yuan Qi:
Riemannian Proximal Policy Optimization. CoRR abs/2005.09195 (2020) - [i23]Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi:
Bandit Samplers for Training Graph Neural Networks. CoRR abs/2006.05806 (2020) - [i22]Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He:
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. CoRR abs/2008.05600 (2020) - [i21]Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu:
Question Directed Graph Attention Network for Numerical Reasoning over Text. CoRR abs/2009.07448 (2020)
2010 – 2019
- 2019
- [j11]Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan Qi:
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. Proc. VLDB Endow. 12(12): 2082-2093 (2019) - [j10]Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Yuan (Alan) Qi, Zhi-Hua Zhou:
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud. ACM Trans. Intell. Syst. Technol. 10(5): 55:1-55:19 (2019) - [c58]Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong:
Latent Dirichlet Allocation for Internet Price War. AAAI 2019: 639-646 - [c57]Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi:
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism. AAAI 2019: 946-953 - [c56]Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi:
GeniePath: Graph Neural Networks with Adaptive Receptive Paths. AAAI 2019: 4424-4431 - [c55]Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Jun Zhou, Shuang Yang, Yuan Qi:
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. IEEE BigData 2019: 1765-1773 - [c54]Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi:
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. CIKM 2019: 2577-2584 - [c53]Daixin Wang, Yuan Qi, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang:
A Semi-Supervised Graph Attentive Network for Financial Fraud Detection. ICDM 2019: 598-607 - [c52]Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song:
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System. ICML 2019: 1052-1061 - [c51]Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong:
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. NeurIPS 2019: 1182-1191 - [c50]Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong:
How Much Can A Retailer Sell? Sales Forecasting on Tmall. PAKDD (2) 2019: 204-216 - [c49]Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi:
RNE: A Scalable Network Embedding for Billion-Scale Recommendation. PAKDD (2) 2019: 432-445 - [c48]Chen Liang, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li, Shuang Yang, Yuan Qi:
Uncovering Insurance Fraud Conspiracy with Network Learning. SIGIR 2019: 1181-1184 - [i20]Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong:
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. CoRR abs/1901.09326 (2019) - [i19]Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song:
Cost-Effective Incentive Allocation via Structured Counterfactual Inference. CoRR abs/1902.02495 (2019) - [i18]Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song:
Can Graph Neural Networks Help Logic Reasoning? CoRR abs/1906.02111 (2019) - [i17]Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi:
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. CoRR abs/1906.07407 (2019) - 2018
- [c47]Jianbin Lin, Zhiqiang Zhang, Jun Zhou, Xiaolong Li, Jingli Fang, Yanming Fang, Quan Yu, Yuan (Alan) Qi:
NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay. IEEE BigData 2018: 1960-1965 - [c46]Tong Yin, Xiaotie Deng, Yuan Qi, Wei Chu, Jing Pan, Xiang Yan, Junwu Xiong:
Personalized Behavior Prediction with Encoder-to-Decoder Structure. NAS 2018: 1-10 - [i16]Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong:
Latent Dirichlet Allocation for Internet Price War. CoRR abs/1808.07621 (2018) - [i15]Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong:
A Policy Gradient Method with Variance Reduction for Uplift Modeling. CoRR abs/1811.10158 (2018) - [i14]Hui Li, Kailiang Hu, Zhibang Ge, Tao Jiang, Yuan Qi, Le Song:
Double Neural Counterfactual Regret Minimization. CoRR abs/1812.10607 (2018) - [i13]Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song:
Neural Model-Based Reinforcement Learning for Recommendation. CoRR abs/1812.10613 (2018) - 2017
- [j9]Hao Peng, Yifan Yang, Shandian Zhe, Jian Wang, Michael Gribskov, Yuan Qi:
DEIsoM: a hierarchical Bayesian model for identifying differentially expressed isoforms using biological replicates. Bioinform. 33(19): 3018-3027 (2017) - [c45]Shaosheng Cao, Xinxing Yang, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi, Kai Xiao:
POSTER: Actively Detecting Implicit Fraudulent Transactions. CCS 2017: 2475-2477 - [c44]Hao Peng, Shandian Zhe, Xiao Zhang, Yuan Qi:
Asynchronous Distributed Variational Gaussian Process for Regression. ICML 2017: 2788-2797 - [c43]Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan (Alan) Qi:
KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial. KDD 2017: 1693-1702 - 2016
- [j8]Zenglin Xu, Shandian Zhe, Yuan Qi, Peng Yu:
Association Discovery and Diagnosis of Alzheimer's Disease with Bayesian Multiview Learning. J. Artif. Intell. Res. 56: 247-268 (2016) - [c42]Shandian Zhe, Yuan Qi, Youngja Park, Zenglin Xu, Ian M. Molloy, Suresh Chari:
DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays. AAAI 2016: 2386-2392 - [c41]Syed Abbas Zilqurnain Naqvi, Shandian Zhe, Yuan Qi, Yifan Yang, Jieping Ye:
Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models. IJCAI 2016: 1867-1973 - [c40]Kai Zhang, Shandian Zhe, Chaoran Cheng, Zhi Wei, Zhengzhang Chen, Haifeng Chen, Guofei Jiang, Yuan Qi, Jieping Ye:
Annealed Sparsity via Adaptive and Dynamic Shrinking. KDD 2016: 1325-1334 - [c39]Shandian Zhe, Kai Zhang, Pengyuan Wang, Kuang-chih Lee, Zenglin Xu, Yuan Qi, Zoubin Ghahramani:
Distributed Flexible Nonlinear Tensor Factorization. NIPS 2016: 920-928 - [c38]Xi Tan, Syed A. Z. Naqvi, Yuan (Alan) Qi, Katherine A. Heller, Vinayak A. Rao:
Content-based Modeling of Reciprocal Relationships using Hawkes and Gaussian Processes. UAI 2016 - [i12]Shandian Zhe, Pengyuan Wang, Kuang-chih Lee, Zenglin Xu, Jian Yang, Youngja Park, Yuan Qi:
Distributed Flexible Nonlinear Tensor Factorization. CoRR abs/1604.07928 (2016) - 2015
- [j7]Zenglin Xu, Feng Yan, Yuan (Alan) Qi:
Bayesian Nonparametric Models for Multiway Data Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 37(2): 475-487 (2015) - [c37]Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu:
Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer's Disease. AAAI 2015: 1966-1972 - [c36]Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He, Zhongzhi Shi:
Bayesian Maximum Margin Principal Component Analysis. AAAI 2015: 2582-2588 - [c35]Shandian Zhe, Zenglin Xu, Xinqi Chu, Yuan (Alan) Qi, Youngja Park:
Scalable Nonparametric Multiway Data Analysis. AISTATS 2015 - 2014
- [j6]Christopher S. Gates, Ninghui Li, Hao Peng, Bhaskar Pratim Sarma, Yuan Qi, Rahul Potharaju, Cristina Nita-Rotaru, Ian M. Molloy:
Generating Summary Risk Scores for Mobile Applications. IEEE Trans. Dependable Secur. Comput. 11(3): 238-251 (2014) - [c34]Changying Du, Jia He, Fuzhen Zhuang, Yuan Qi, Qing He:
Nonparametric Bayesian Multi-Task Large-margin Classification. ECAI 2014: 255-260 - [c33]Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu:
Joint Association Discovery and Diagnosis of Alzheimer's Disease by Supervised Heterogeneous Multiview Learning. Pacific Symposium on Biocomputing 2014: 300-311 - 2013
- [j5]Shandian Zhe, Syed A. Z. Naqvi, Yifan Yang, Yuan Qi:
Joint network and node selection for pathway-based genomic data analysis. Bioinform. 29(16): 1987-1996 (2013) - [j4]Feng Yan, Shreyas Sundaram, S. V. N. Vishwanathan, Yuan (Alan) Qi:
Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties. IEEE Trans. Knowl. Data Eng. 25(11): 2483-2493 (2013) - [i11]Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu:
Supervised Heterogeneous Multiview Learning for Joint Association Study and Disease Diagnosis. CoRR abs/1304.7284 (2013) - [i10]Shandian Zhe, Yuan Qi, Youngja Park, Ian M. Molloy, Suresh Chari:
DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements. CoRR abs/1311.2663 (2013) - 2012
- [c32]Hao Peng, Christopher S. Gates, Bhaskar Pratim Sarma, Ninghui Li, Yuan Qi, Rahul Potharaju, Cristina Nita-Rotaru, Ian M. Molloy:
Using probabilistic generative models for ranking risks of Android apps. CCS 2012: 241-252 - [c31]Weining Yang, Ninghui Li, Yuan Qi, Wahbeh H. Qardaji, Stephen E. McLaughlin, Patrick D. McDaniel:
Minimizing private data disclosures in the smart grid. CCS 2012: 415-427 - [c30]Ferit Akova, Murat Dundar, Yuan (Alan) Qi, Bartek Rajwa:
Self-Adjusting Models for Semi-supervised Learning in Partially Observed Settings. ICDM 2012: 21-30 - [c29]Murat Dundar, Ferit Akova, Yuan (Alan) Qi, Bartek Rajwa:
Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes. ICML 2012 - [c28]Zenglin Xu, Feng Yan, Yuan (Alan) Qi:
Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis. ICML 2012 - [i9]Feng Yan, Zenglin Xu, Yuan (Alan) Qi:
Sparse matrix-variate Gaussian process blockmodels for network modeling. CoRR abs/1202.3769 (2012) - [i8]Yuan (Alan) Qi, Ahmed H. Abdel-Gawad, Thomas P. Minka:
Sparse-posterior Gaussian Processes for general likelihoods. CoRR abs/1203.3507 (2012) - [i7]Yuan (Alan) Qi, Bo Dai, Yao Zhu:
EigenGP: Gaussian processes with sparse data-dependent eigenfunctions. CoRR abs/1204.3972 (2012) - [i6]Thomas P. Minka, Rongjing Xiang, Yuan (Alan) Qi:
Virtual Vector Machine for Bayesian Online Classification. CoRR abs/1205.2623 (2012) - [i5]Murat Dundar, Ferit Akova, Yuan (Alan) Qi, Bartek Rajwa:
Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes. CoRR abs/1206.4600 (2012) - 2011
- [c27]Zenglin Xu, Feng Yan, Yuan (Alan) Qi:
Sparse Matrix-Variate t Process Blockmodels. AAAI 2011: 543-548 - [c26]Li Shen, Sungeun Kim, Yuan (Alan) Qi, Mark Inlow, Shanker Swaminathan, Kwangsik Nho, Jing Wan, Shannon L. Risacher, Leslie M. Shaw, John Q. Trojanowski, Michael W. Weiner, Andrew J. Saykin:
Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net. MBIA 2011: 27-34 - [c25]Nan Ding, S. V. N. Vishwanathan, Yuan (Alan) Qi:
t-divergence Based Approximate Inference. NIPS 2011: 1494-1502 - [c24]Yuan (Alan) Qi, Feng Yan:
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning. NIPS 2011: 2663-2671 - [c23]Feng Yan, Zenglin Xu, Yuan (Alan) Qi:
Sparse matrix-variate Gaussian process blockmodels for network modeling. UAI 2011: 745-752 - [i4]Yuan (Alan) Qi, Feng Yan:
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning. CoRR abs/1102.0836 (2011) - [i3]Zenglin Xu, Feng Yan, Yuan (Alan) Qi:
InfTucker: t-Process based Infinite Tensor Decomposition. CoRR abs/1108.6296 (2011) - 2010
- [j3]Jia Meng, Jianqiu (Michelle) Zhang, Yuan (Alan) Qi, Yidong Chen, Yufei Huang:
Uncovering Transcriptional Regulatory Networks by Sparse Bayesian Factor Model. EURASIP J. Adv. Signal Process. 2010 (2010) - [c22]Feng Yan, Yuan (Alan) Qi:
Sparse Gaussian Process Regression via L1 Penalization. ICML 2010: 1183-1190 - [c21]Li Shen, Yuan (Alan) Qi, Sungeun Kim, Kwangsik Nho, Jing Wan, Shannon L. Risacher, Andrew J. Saykin:
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction. MICCAI (3) 2010: 611-618 - [c20]Ian M. Molloy, Ninghui Li, Yuan (Alan) Qi, Jorge Lobo, Luke Dickens:
Mining roles with noisy data. SACMAT 2010: 45-54 - [c19]Yuan (Alan) Qi, Ahmed H. Abdel-Gawad, Thomas P. Minka:
Sparse-posterior Gaussian Processes for general likelihoods. UAI 2010: 450-457 - [c18]Ariful Azad, Johannes Langguth, Youhan Fang, Yuan (Alan) Qi, Alex Pothen:
Identifying Rare Cell Populations in Comparative Flow Cytometry. WABI 2010: 162-175 - [c17]Nan Ding, Yuan (Alan) Qi, Rongjing Xiang, Ian M. Molloy, Ninghui Li:
Nonparametric Bayesian Matrix Factorization by Power-EP. AISTATS 2010: 169-176 - [i2]Feng Yan, S. V. N. Vishwanathan, Yuan (Alan) Qi:
Cooperative Autonomous Online Learning. CoRR abs/1006.4039 (2010)
2000 – 2009
- 2009
- [c16]Feng Yan, Ningyi Xu, Yuan (Alan) Qi:
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units. NIPS 2009: 2134-2142 - [c15]Thomas P. Minka, Rongjing Xiang, Yuan (Alan) Qi:
Virtual Vector Machine for Bayesian Online Classification. UAI 2009: 411-418 - [e1]M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Lukasz A. Kurgan, Yuan (Alan) Qi:
International Conference on Machine Learning and Applications, ICMLA 2009, Miami Beach, Florida, USA, December 13-15, 2009. IEEE Computer Society 2009, ISBN 978-0-7695-3926-3 [contents] - [i1]Yuan (Alan) Qi, Ahmed H. Abdel-Gawad, Thomas P. Minka:
Variable sigma Gaussian processes: An expectation propagation perspective. CoRR abs/0910.0668 (2009) - 2007
- [j2]Yuan (Alan) Qi, Thomas P. Minka:
Window-based expectation propagation for adaptive signal detection in flat-fading channels. IEEE Trans. Wirel. Commun. 6(1): 348-355 (2007) - 2006
- [j1]Yuan (Alan) Qi, Hui Ge:
Modularity and Dynamics of Cellular Networks. PLoS Comput. Biol. 2(12) (2006) - [c14]Yuan (Alan) Qi, Patrycja E. Missiuro, Ashish Kapoor, Craig P. Hunter, Tommi S. Jaakkola, David K. Gifford, Hui Ge:
Semi-supervised analysis of gene expression profiles for lineage-specific development in the Caenorhabditis elegans embryo. ISMB (Supplement of Bioinformatics) 2006: 417-423 - [c13]Yuan (Alan) Qi, Tommi S. Jaakkola:
Parameter Expanded Variational Bayesian Methods. NIPS 2006: 1097-1104 - 2005
- [c12]Yuan (Alan) Qi, Martin Szummer, Tom Minka:
Bayesian Conditional Random Fields. AISTATS 2005: 269-276 - [c11]Yuan (Alan) Qi, Martin Szummer, Thomas P. Minka:
Diagram Structure Recognition by Bayesian Conditional Random Fields. CVPR (2) 2005: 191-196 - [c10]Tao Wei, Yufei Huang, Yuan (Alan) Qi:
Symbol detection with time-varying unknown phase by expectation propagation. ICASSP (3) 2005: 717-720 - [c9]Ashish Kapoor, Yuan (Alan) Qi, Hyungil Ahn, Rosalind W. Picard:
Hyperparameter and Kernel Learning for Graph Based Semi-Supervised Classification. NIPS 2005: 627-634 - 2004
- [c8]Martin Szummer, Yuan (Alan) Qi:
Contextual recognition of hand-drawn diagrams with conditional random fields. IWFHR 2004: 32-37 - [c7]Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picard, Zoubin Ghahramani:
Predictive automatic relevance determination by expectation propagation. ICML 2004 - 2003
- [c6]Ashish Kapoor, Yuan (Alan) Qi, Rosalind W. Picard:
Fully Automatic Upper Facial Action Recognition. AMFG 2003: 195-202 - [c5]Thomas P. Minka, Yuan (Alan) Qi:
Tree-structured Approximations by Expectation Propagation. NIPS 2003: 193-200 - 2002
- [c4]Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picard:
Bayesian spectrum estimation of unevenly sampled nonstationary data. ICASSP 2002: 1473-1476 - [c3]Yuan (Alan) Qi, Rosalind W. Picard:
Context-Sensitive Bayesian Classifiers and Application to Mouse Pressure Pattern Classification. ICPR (3) 2002: 448-451 - 2001
- [c2]Yuan (Alan) Qi, David S. Doermann, Daniel DeMenthon:
Hybrid independent component analysis and support vector machine learning scheme for face detection. ICASSP 2001: 1481-1484 - [c1]Yuan Qi, Carson Reynolds, Rosalind W. Picard:
The Bayes Point Machine for computer-user frustration detection via pressuremouse. PUI 2001: 6:1-6:5
Coauthor Index
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