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ORCIDTieliang Gong
Person information
- affiliation: Xi'an Jiaotong University, School of Computer Science and Technology, Key Laboratory of Intelligent Networks and Network Security, Xi'an, China
- affiliation: Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi'an, China
- affiliation: University of Ottawa, Department of Mathematics and Statistics, Ottawa, Canada
- affiliation (PhD 2018): Xi'an Jiaotong University, School of Mathematics and Statistics, Xi'an, China
- affiliation (former): Hubei University, Faculty of Mathematics and Computer Science, Wuhan, China
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2020 – today
- 2024
[j24]Hong Chen
, Xuelin Zhang, Tieliang Gong, Bin Gu, Feng Zheng:
Error Density-dependent Empirical Risk Minimization. Expert Syst. Appl. 254: 124332 (2024)- [j23]Jialun Wu, Xinyao Yu, Kai He, Zeyu Gao, Tieliang Gong:
PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation. Inf. Process. Manag. 61(4): 103758 (2024) - [j22]Muyao Yuan, Weizhan Zhang, Caixia Yan, Tieliang Gong, Yuanhong Zhang, Jiangyong Ying:
Adaptive token selection for efficient detection transformer with dual teacher supervision. Knowl. Based Syst. 300: 112036 (2024) - [j21]Jiangbo Shi, Chen Li, Tieliang Gong, Huazhu Fu:
E2-MIL: An explainable and evidential multiple instance learning framework for whole slide image classification. Medical Image Anal. 97: 103294 (2024) - [j20]Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li:
Markov Subsampling Based on Huber Criterion. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2250-2262 (2024) - [c29]Jiangbo Shi, Chen Li, Tieliang Gong, Yefeng Zheng, Huazhu Fu:
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification. CVPR 2024: 11248-11258 - [c28]Yuxin Dong, Tieliang Gong, Hong Chen, Shujian Yu, Chen Li:
Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds. ICLR 2024 - [c27]Yuxin Dong, Tieliang Gong, Hong Chen, Zhongjiang He, Mengxiang Li, Shuangyong Song, Chen Li:
Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective. ICML 2024 - [c26]Wen Wen, Han Li, Tieliang Gong, Hong Chen:
Towards Sharper Generalization Bounds for Adversarial Contrastive Learning. IJCAI 2024: 5190-5198 - [c25]Xuelin Zhang, Hong Chen, Bin Gu, Tieliang Gong, Feng Zheng:
Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization. IJCAI 2024: 5508-5516 - [c24]Jiashuai Liu, Anyu Mao, Yi Niu, Xianli Zhang, Tieliang Gong, Chen Li, Zeyu Gao:
PAMIL: Prototype Attention-Based Multiple Instance Learning for Whole Slide Image Classification. MICCAI (4) 2024: 362-372 - [i18]Yuxin Dong, Tieliang Gong, Hong Chen, Shuangyong Song, Weizhan Zhang, Chen Li:
How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis. CoRR abs/2406.09745 (2024) - [i17]Jiahao Wang, Caixia Yan, Weizhan Zhang, Haonan Lin, Mengmeng Wang, Guang Dai, Tieliang Gong, Hao Sun, Jingdong Wang:
SpotActor: Training-Free Layout-Controlled Consistent Image Generation. CoRR abs/2409.04801 (2024) - [i16]King-Siong Si, Lu Sun, Weizhan Zhang, Tieliang Gong, Jiahao Wang, Jiang Liu, Hao Sun:
Accelerating Non-Maximum Suppression: A Graph Theory Perspective. CoRR abs/2409.20520 (2024) - [i15]Mengfei Xia, Nan Xue, Yujun Shen, Ran Yi, Tieliang Gong, Yong-Jin Liu:
Rectified Diffusion Guidance for Conditional Generation. CoRR abs/2410.18737 (2024) - 2023
- [j19]Jialun Wu, Yuxin Dong, Zeyu Gao, Tieliang Gong, Chen Li:
Dual Attention and Patient Similarity Network for drug recommendation. Bioinform. 39(1) (2023) - [j18]Kai He, Yucheng Huang, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria:
Virtual prompt pre-training for prototype-based few-shot relation extraction. Expert Syst. Appl. 213(Part): 118927 (2023) - [j17]Yuxiang Han, Hong Chen, Tieliang Gong, Jia Cai, Hao Deng:
Robust partially linear models for automatic structure discovery. Expert Syst. Appl. 217: 119528 (2023) - [j16]Zeyu Gao, Bangyang Hong, Yang Li, Xianli Zhang, Jialun Wu, Chunbao Wang, Xiangrong Zhang, Tieliang Gong, Yefeng Zheng, Deyu Meng, Chen Li:
A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images. Medical Image Anal. 83: 102652 (2023) - [j15]Kai He, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria:
Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. 14(3): 1731-1742 (2023) - [j14]Yuxin Dong, Tieliang Gong, Shujian Yu, Chen Li:
Optimal Randomized Approximations for Matrix-Based Rényi's Entropy. IEEE Trans. Inf. Theory 69(7): 4218-4234 (2023) - [j13]Jiangbo Shi, Tieliang Gong, Chunbao Wang, Chen Li:
Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image. IEEE J. Biomed. Health Informatics 27(1): 97-108 (2023) - [j12]Zeyu Gao, Anyu Mao, Kefei Wu, Yang Li, Liebin Zhao, Xianli Zhang, Jialun Wu, Lisha Yu, Chao Xing, Tieliang Gong, Yefeng Zheng, Deyu Meng, Min Zhou, Chen Li:
Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning. IEEE Trans. Medical Imaging 42(8): 2348-2359 (2023) - [j11]Jiangbo Shi, Lufei Tang, Yang Li, Xianli Zhang, Zeyu Gao, Yefeng Zheng, Chunbao Wang, Tieliang Gong, Chen Li:
A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image. IEEE Trans. Medical Imaging 42(10): 3000-3011 (2023) - [j10]Jiangbo Shi, Lufei Tang, Zeyu Gao, Yang Li, Chunbao Wang, Tieliang Gong, Chen Li, Huazhu Fu:
MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification. IEEE Trans. Medical Imaging 42(12): 3871-3883 (2023) - [c23]Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng:
On the Stability and Generalization of Triplet Learning. AAAI 2023: 7033-7041 - [c22]Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li:
Robust and Fast Measure of Information via Low-Rank Representation. AAAI 2023: 7450-7458 - [c21]Yucheng Huang, Wenqiang Liu, Xianli Zhang, Jun Lang, Tieliang Gong, Chen Li:
PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition. ACL (Findings) 2023: 3220-3233 - [c20]Yige Wang, Yucheng Huang, Tieliang Gong, Chen Li:
Enhancing Cross-Lingual Few-Shot Named Entity Recognition by Prompt-Guiding. ICANN (1) 2023: 159-170 - [c19]Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao:
Tilted Sparse Additive Models. ICML 2023: 35579-35604 - [c18]Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li:
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective. IJCAI 2023: 3642-3650 - [i14]Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng:
On the Stability and Generalization of Triplet Learning. CoRR abs/2302.09815 (2023) - [i13]Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li:
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective. CoRR abs/2305.01143 (2023) - 2022
- [j9]Kai He, Rui Mao, Tieliang Gong, Erik Cambria, Chen Li:
JCBIE: a joint continual learning neural network for biomedical information extraction. BMC Bioinform. 23(1): 549 (2022) - [j8]Yufei Li, Xiangyu Zhou, Jie Ma, Xiaoyong Ma, Pengzhen Cheng, Tieliang Gong, Chen Li:
Distinguished representation of identical mentions in bio-entity coreference resolution. BMC Medical Informatics Decis. Mak. 22(1): 116 (2022) - [j7]Zeyu Gao, Chang Jia, Yang Li, Xianli Zhang, Bangyang Hong, Jialun Wu, Tieliang Gong, Chunbao Wang, Deyu Meng, Yefeng Zheng, Chen Li:
Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast. IEEE Trans. Medical Imaging 41(12): 3611-3623 (2022) - [j6]Tieliang Gong, Yuxin Dong, Shujian Yu, Bo Dong:
Computationally Efficient Approximations for Matrix-Based Rényi's Entropy. IEEE Trans. Signal Process. 70: 6170-6184 (2022) - [c17]Tieliang Gong, Yuxin Dong, Hong Chen, Wei Feng, Bo Dong, Chen Li:
Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment. AAAI 2022: 6721-6728 - [c16]Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng:
Error-Based Knockoffs Inference for Controlled Feature Selection. AAAI 2022: 9190-9198 - [c15]Zeyu Gao, Anyu Mao, Jialun Wu, Yang Li, Chunbao Wang, Caixia Ding, Tieliang Gong, Chen Li:
Uncertainty-based Model Acceleration for Cancer Classification in Whole-Slide Images. BIBM 2022: 1534-1538 - [c14]Kai He, Bing Mao, Xiangyu Zhou, Yufei Li, Tieliang Gong, Chen Li, Jialun Wu:
Knowledge Enhanced Coreference Resolution via Gated Attention. BIBM 2022: 2287-2293 - [c13]Bing Mao, Chang Jia, Yucheng Huang, Kai He, Jialun Wu, Tieliang Gong, Chen Li:
Uncertainty-guided Mutual Consistency Training for Semi-supervised Biomedical Relation Extraction. BIBM 2022: 2318-2325 - [c12]Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang:
Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation. CIKM 2022: 2169-2178 - [c11]Yucheng Huang, Kai He, Yige Wang, Xianli Zhang, Tieliang Gong, Rui Mao, Chen Li:
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition. COLING 2022: 2515-2527 - [i12]Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng:
Error-based Knockoffs Inference for Controlled Feature Selection. CoRR abs/2203.04483 (2022) - [i11]Yuxin Dong, Tieliang Gong, Shujian Yu, Chen Li:
Optimal Randomized Approximations for Matrix based Renyi's Entropy. CoRR abs/2205.07426 (2022) - [i10]Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li:
Robust and Fast Measure of Information via Low-rank Representation. CoRR abs/2211.16784 (2022) - 2021
- [j5]Tieliang Gong, Hong Chen, Chen Xu:
Learning performance of LapSVM based on Markov subsampling. Neurocomputing 432: 10-20 (2021) - [c10]Yang Liu, Jialun Wu, Yuhua Wei, Bing Mao, Chen Li, Tieliang Gong:
AEFNet: Adaptive Scale Feature Based on Elastic-and-Funnel Neural Network for Healthcare Representation. BIBM 2021: 2043-2050 - [c9]Anyu Mao, Jialun Wu, Xinrui Bao, Zeyu Gao, Tieliang Gong, Chen Li:
W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image. BIBM 2021: 2051-2058 - [c8]Jiangbo Shi, Chang Jia, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li:
Meta Mask Correction for Nuclei Segmentation in Histopathological Image. BIBM 2021: 2059-2063 - [c7]Jialun Wu, Ruonan Zhang, Tieliang Gong, Yang Liu, Chunbao Wang, Chen Li:
BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network. BIBM 2021: 2080-2087 - [c6]Jialun Wu, Anyu Mao, Xinrui Bao, Haichuan Zhang, Zeyu Gao, Chunbao Wang, Tieliang Gong, Chen Li:
PIMIP: An Open Source Platform for Pathology Information Management and Integration. BIBM 2021: 2088-2095 - [c5]Jialun Wu, Ruonan Zhang, Tieliang Gong, Haichuan Zhang, Chunbao Wang, Chen Li:
A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data. BIBM 2021: 2096-2103 - [c4]Jialun Wu, Ruonan Zhang, Tieliang Gong, Xinrui Bao, Zeyu Gao, Haichuan Zhang, Chunbao Wang, Chen Li:
A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning. BIBM 2021: 2104-2111 - [i9]Jialun Wu, Haichuan Zhang, Zeyu Gao, Xinrui Bao, Tieliang Gong, Chunbao Wang, Chen Li:
A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning. CoRR abs/2110.13652 (2021) - [i8]Anyu Mao, Jialun Wu, Xinrui Bao, Zeyu Gao, Tieliang Gong, Chen Li:
W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image. CoRR abs/2110.13670 (2021) - [i7]Jialun Wu, Zeyu Gao, Haichuan Zhang, Ruonan Zhang, Tieliang Gong, Chunbao Wang, Chen Li:
A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data. CoRR abs/2110.13677 (2021) - [i6]Jialun Wu, Yang Liu, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li:
BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network. CoRR abs/2110.13683 (2021) - [i5]Jialun Wu, Anyu Mao, Xinrui Bao, Haichuan Zhang, Zeyu Gao, Chunbao Wang, Tieliang Gong, Chen Li:
PIMIP: An Open Source Platform for Pathology Information Management and Integration. CoRR abs/2111.05794 (2021) - [i4]Jiangbo Shi, Chang Jia, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li:
Meta Mask Correction for Nuclei Segmentation in Histopathological Image. CoRR abs/2111.12498 (2021) - [i3]Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Wei Feng, Chen Li:
Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment. CoRR abs/2112.04779 (2021) - [i2]Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li:
Markov subsampling based Huber Criterion. CoRR abs/2112.06134 (2021) - [i1]Tieliang Gong, Yuxin Dong, Shujian Yu, Hong Chen, Bo Dong, Chen Li, Qinghua Zheng:
Computationally Efficient Approximations for Matrix-based Renyi's Entropy. CoRR abs/2112.13720 (2021) - 2020
- [j4]Tieliang Gong, Chen Xu, Hong Chen:
Modal additive models with data-driven structure identification. Math. Found. Comput. 3(3): 165-183 (2020) - [c3]Tieliang Gong, Quanhan Xi, Chen Xu:
Robust Gradient-Based Markov Subsampling. AAAI 2020: 4004-4011 - [c2]Yingjie Wang, Hong Chen, Feng Zheng, Chen Xu, Tieliang Gong, Yanhong Chen:
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery. NeurIPS 2020
2010 – 2019
- 2018
- [c1]Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin:
Margin Based PU Learning. AAAI 2018: 3037-3044 - 2017
- [j3]Tieliang Gong, Zongben Xu, Hong Chen:
Generalization Analysis of Fredholm Kernel Regularized Classifiers. Neural Comput. 29(7): 1879-1901 (2017) - 2016
- [j2]Tieliang Gong, Bin Zou, Zongben Xu:
Learning With ℓ1-Regularizer Based on Markov Resampling. IEEE Trans. Cybern. 46(5): 1189-1201 (2016) - 2012
- [j1]Xiaoqiang Lu, Tieliang Gong, Pingkun Yan, Yuan Yuan, Xuelong Li:
Robust Alternative Minimization for Matrix Completion. IEEE Trans. Syst. Man Cybern. Part B 42(3): 939-949 (2012)
Coauthor Index
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