Robust Alternative Minimization for Matrix Completion. - Xiaoqiang Lu; Tieliang Gong; Pingkun Yan; Yuan Yuan 001; Xuelong Li 001 (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Learning With ℓ1-Regularizer Based on Markov Resampling. - Tieliang Gong; Bin Zou 002; Zongben Xu (IEEE Trans. Cybern., 2016)

Generalization Analysis of Fredholm Kernel Regularized Classifiers. - Tieliang Gong; Zongben Xu; Hong Chen 004 (Neural Comput., 2017)

Margin Based PU Learning. - Tieliang Gong; Guangtao Wang; Jieping Ye; Zongben Xu; Ming Lin (AAAI, 2018)

Robust Gradient-Based Markov Subsampling. - Tieliang Gong; Quanhan Xi; Chen Xu 007 (AAAI, 2020)

Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery. - Yingjie Wang 007; Hong Chen 004; Feng Zheng; Chen Xu 007; Tieliang Gong; Yanhong Chen (NeurIPS, 2020)

Modal additive models with data-driven structure identification. - Tieliang Gong; Chen Xu 007; Hong Chen 004 (Math. Found. Comput., 2020)

AEFNet: Adaptive Scale Feature Based on Elastic-and-Funnel Neural Network for Healthcare Representation. - Yang Liu; Jialun Wu; Yuhua Wei; Bing Mao; Chen Li 011; Tieliang Gong (BIBM, 2021)

W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image. - Anyu Mao; Jialun Wu; Xinrui Bao; Zeyu Gao 001; Tieliang Gong; Chen Li 011 (BIBM, 2021)

Meta Mask Correction for Nuclei Segmentation in Histopathological Image. - Jiangbo Shi; Chang Jia; Zeyu Gao 001; Tieliang Gong; Chunbao Wang 002; Chen Li 011 (BIBM, 2021)

PIMIP: An Open Source Platform for Pathology Information Management and Integration. - Jialun Wu; Anyu Mao; Xinrui Bao; Haichuan Zhang 001; Zeyu Gao 001; Chunbao Wang 002; Tieliang Gong; Chen Li 011 (BIBM, 2021)

A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning. - Jialun Wu; Ruonan Zhang; Tieliang Gong; Xinrui Bao; Zeyu Gao 001; Haichuan Zhang 001; Chunbao Wang 002; Chen Li 011 (BIBM, 2021)

BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network. - Jialun Wu; Ruonan Zhang; Tieliang Gong; Yang Liu; Chunbao Wang 002; Chen Li 011 (BIBM, 2021)

A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data. - Jialun Wu; Ruonan Zhang; Tieliang Gong; Haichuan Zhang 001; Chunbao Wang 002; Chen Li 011 (BIBM, 2021)

A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning. - Jialun Wu; Haichuan Zhang 001; Zeyu Gao 001; Xinrui Bao; Tieliang Gong; Chunbao Wang 002; Chen Li 011 (CoRR, 2021)

A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data. - Jialun Wu; Zeyu Gao 001; Haichuan Zhang 001; Ruonan Zhang; Tieliang Gong; Chunbao Wang 002; Chen Li 011 (CoRR, 2021)

BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network. - Jialun Wu; Yang Liu; Zeyu Gao 001; Tieliang Gong; Chunbao Wang 002; Chen Li 011 (CoRR, 2021)

Computationally Efficient Approximations for Matrix-based Renyi's Entropy. - Tieliang Gong; Yuxin Dong; Shujian Yu; Hong Chen 004; Bo Dong 001; Chen Li 011; Qinghua Zheng (CoRR, 2021)

Learning performance of LapSVM based on Markov subsampling. - Tieliang Gong; Hong Chen 004; Chen Xu 007 (Neurocomputing, 2021)

Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment. - Tieliang Gong; Yuxin Dong; Hong Chen 004; Wei Feng 010; Bo Dong 001; Chen Li 011 (AAAI, 2022)

Error-Based Knockoffs Inference for Controlled Feature Selection. - Xuebin Zhao; Hong Chen 004; Yingjie Wang 007; Weifu Li; Tieliang Gong; Yulong Wang 002; Feng Zheng (AAAI, 2022)

Uncertainty-based Model Acceleration for Cancer Classification in Whole-Slide Images. - Zeyu Gao 001; Anyu Mao; Jialun Wu; Yang Li 139; Chunbao Wang 002; Caixia Ding; Tieliang Gong; Chen Li 011 (BIBM, 2022)

Knowledge Enhanced Coreference Resolution via Gated Attention. - Kai He 001; Bing Mao; Xiangyu Zhou; Yufei Li 002; Tieliang Gong; Chen Li 011; Jialun Wu (BIBM, 2022)

Uncertainty-guided Mutual Consistency Training for Semi-supervised Biomedical Relation Extraction. - Bing Mao; Chang Jia; Yucheng Huang; Kai He 001; Jialun Wu; Tieliang Gong; Chen Li 011 (BIBM, 2022)

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation. - Jialun Wu; Buyue Qian; Yang Li 139; Zeyu Gao 001; Meizhi Ju; Yifan Yang 008; Yefeng Zheng 001; Tieliang Gong; Chen Li 011; Xianli Zhang (CIKM, 2022)

COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition. - Yucheng Huang; Kai He 001; Yige Wang; Xianli Zhang; Tieliang Gong; Rui Mao 010; Chen Li 011 (COLING, 2022)

Distinguished representation of identical mentions in bio-entity coreference resolution. - Yufei Li 002; Xiangyu Zhou; Jie Ma 001; Xiaoyong Ma; Pengzhen Cheng; Tieliang Gong; Chen Li 011 (BMC Medical Informatics Decis. Mak., 2022)

Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast. - Zeyu Gao 001; Chang Jia; Yang Li 139; Xianli Zhang; Bangyang Hong; Jialun Wu; Tieliang Gong; Chunbao Wang 002; Deyu Meng; Yefeng Zheng 001; Chen Li 011 (IEEE Trans. Medical Imaging, 2022)

Computationally Efficient Approximations for Matrix-Based Rényi's Entropy. - Tieliang Gong; Yuxin Dong; Shujian Yu; Bo Dong 001 (IEEE Trans. Signal Process., 2022)

JCBIE: a joint continual learning neural network for biomedical information extraction. - Kai He 001; Rui Mao 010; Tieliang Gong; Erik Cambria; Chen Li 011 (BMC Bioinform., 2022)

On the Stability and Generalization of Triplet Learning. - Jun Chen; Hong Chen 004; Xue Jiang; Bin Gu 001; Weifu Li; Tieliang Gong; Feng Zheng (AAAI, 2023)

Robust and Fast Measure of Information via Low-Rank Representation. - Yuxin Dong; Tieliang Gong; Shujian Yu; Hong Chen 004; Chen Li 011 (AAAI, 2023)

PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition. - Yucheng Huang; Wenqiang Liu; Xianli Zhang; Jun Lang 001; Tieliang Gong; Chen Li 011 (ACL (Findings), 2023)

Enhancing Cross-Lingual Few-Shot Named Entity Recognition by Prompt-Guiding. - Yige Wang; Yucheng Huang; Tieliang Gong; Chen Li 011 (ICANN (1), 2023)

Tilted Sparse Additive Models. - Yingjie Wang 007; Hong Chen 004; Weifeng Liu 001; Fengxiang He; Tieliang Gong; Youcheng Fu; Dacheng Tao (ICML, 2023)

Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective. - Yuxin Dong; Tieliang Gong; Hong Chen 004; Chen Li 011 (IJCAI, 2023)

Virtual prompt pre-training for prototype-based few-shot relation extraction. - Kai He 001; Yucheng Huang; Rui Mao 010; Tieliang Gong; Chen Li 011; Erik Cambria (Expert Syst. Appl., 2023)

A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images. - Zeyu Gao 001; Bangyang Hong; Yang Li 139; Xianli Zhang; Jialun Wu; Chunbao Wang 002; Xiangrong Zhang; Tieliang Gong; Yefeng Zheng 001; Deyu Meng; Chen Li 011 (Medical Image Anal., 2023)

Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis. - Kai He 001; Rui Mao 010; Tieliang Gong; Chen Li 011; Erik Cambria (IEEE Trans. Affect. Comput., 2023)

Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image. - Jiangbo Shi; Tieliang Gong; Chunbao Wang 002; Chen Li 011 (IEEE J. Biomed. Health Informatics, 2023)

Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning. - Zeyu Gao 001; Anyu Mao; Kefei Wu; Yang Li 139; Liebin Zhao; Xianli Zhang; Jialun Wu; Lisha Yu; Chao Xing; Tieliang Gong; Yefeng Zheng 001; Deyu Meng; et al. (IEEE Trans. Medical Imaging, 2023)

Dual Attention and Patient Similarity Network for drug recommendation. - Jialun Wu; Yuxin Dong; Zeyu Gao 001; Tieliang Gong; Chen Li 011 (Bioinform., 2023)

Robust partially linear models for automatic structure discovery. - Yuxiang Han; Hong Chen 004; Tieliang Gong; Jia Cai; Hao Deng (Expert Syst. Appl., 2023)

Optimal Randomized Approximations for Matrix-Based Rényi's Entropy. - Yuxin Dong; Tieliang Gong; Shujian Yu; Chen Li 011 (IEEE Trans. Inf. Theory, 2023)

A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image. - Jiangbo Shi; Lufei Tang; Yang Li 139; Xianli Zhang; Zeyu Gao 001; Yefeng Zheng 001; Chunbao Wang 002; Tieliang Gong; Chen Li 011 (IEEE Trans. Medical Imaging, 2023)

MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification. - Jiangbo Shi; Lufei Tang; Zeyu Gao 001; Yang Li 139; Chunbao Wang 002; Tieliang Gong; Chen Li 011; Huazhu Fu (IEEE Trans. Medical Imaging, 2023)

Shallow-Deep Synergy: Boosting Cross-Domain Generalization in Histopathological Image Segmentation. - Xiangyu Wang; Weiheng Su; Yuxing Dong; Yang Li 139; Xianli Zhang; Tieliang Gong; Inês Prata Machado; Mireia Crispin-Ortuzar; Chen Li 011; Zeyu Gao 001 (BIBM, 2024)

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification. - Jiangbo Shi; Chen Li 011; Tieliang Gong; Yefeng Zheng 001; Huazhu Fu (CVPR, 2024)

Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds. - Yuxin Dong; Tieliang Gong; Hong Chen 004; Shujian Yu; Chen Li 011 (ICLR, 2024)

Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective. - Yuxin Dong; Tieliang Gong; Hong Chen 004; Zhongjiang He; Mengxiang Li; Shuangyong Song; Chen Li 011 (ICML, 2024)

Towards Sharper Generalization Bounds for Adversarial Contrastive Learning. - Wen Wen; Han Li; Tieliang Gong; Hong Chen 004 (IJCAI, 2024)

Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization. - Xuelin Zhang; Hong Chen 004; Bin Gu 001; Tieliang Gong; Feng Zheng (IJCAI, 2024)

PAMIL: Prototype Attention-Based Multiple Instance Learning for Whole Slide Image Classification. - Jiashuai Liu; Anyu Mao; Yi Niu; Xianli Zhang; Tieliang Gong; Chen Li 011; Zeyu Gao 001 (MICCAI (4), 2024)

Accelerating Non-Maximum Suppression: A Graph Theory Perspective. - King-Siong Si; Lu Sun; Weizhan Zhang; Tieliang Gong; Jiahao Wang 004; Jiang Liu; Hao Sun 015 (NeurIPS, 2024)

OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance. - Jiahao Wang 004; Caixia Yan; Haonan Lin; Weizhan Zhang; Mengmeng Wang 005; Tieliang Gong; Guang Dai; Hao Sun 015 (NeurIPS, 2024)

Error Density-dependent Empirical Risk Minimization. - Hong Chen 004; Xuelin Zhang; Tieliang Gong; Bin Gu 001; Feng Zheng (Expert Syst. Appl., 2024)

PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation. - Jialun Wu; Xinyao Yu 004; Kai He 001; Zeyu Gao 001; Tieliang Gong (Inf. Process. Manag., 2024)

Adaptive token selection for efficient detection transformer with dual teacher supervision. - Muyao Yuan; Weizhan Zhang; Caixia Yan; Tieliang Gong; Yuanhong Zhang; Jiangyong Ying (Knowl. Based Syst., 2024)

E2-MIL: An explainable and evidential multiple instance learning framework for whole slide image classification. - Jiangbo Shi; Chen Li 011; Tieliang Gong; Huazhu Fu (Medical Image Anal., 2024)

Integrating K+ Entities Into Coreference Resolution on Biomedical Texts. - Yufei Li 002; Xiaoyong Ma; Xiangyu Zhou; Penghzhen Cheng; Kai He 001; Tieliang Gong; Chen Li 011 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Markov Subsampling Based on Huber Criterion. - Tieliang Gong; Yuxin Dong; Hong Chen 004; Bo Dong 001; Chen Li 011 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Template-Free Prompting for Few-Shot Named Entity Recognition via Semantic-Enhanced Contrastive Learning. - Kai He 001; Rui Mao 010; Yucheng Huang; Tieliang Gong; Chen Li 011; Erik Cambria (IEEE Trans. Neural Networks Learn. Syst., 2024)

SpotActor: Training-Free Layout-Controlled Consistent Image Generation. - Jiahao Wang 004; Caixia Yan; Weizhan Zhang; Haonan Lin; Mengmeng Wang 005; Guang Dai; Tieliang Gong; Hao Sun 015; Jingdong Wang 001 (AAAI, 2025)

Rectified Diffusion Guidance for Conditional Generation. - Mengfei Xia; Nan Xue 006; Yujun Shen; Ran Yi; Tieliang Gong; Yong-Jin Liu 001 (CVPR, 2025)

Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification. - Wen Wen; Han Li; Tieliang Gong; Hong Chen 004 (ICLR, 2025)

StaDis: Stability distance to detecting out-of-distribution data in computational pathology. - Di Zhang; Jiusong Ge; Jiashuai Liu; Chunbao Wang 002; Tieliang Gong; Zeyu Gao 001; Chen Li 011 (Medical Image Anal., 2025)

Towards Sharper Information-theoretic Generalization Bounds for Meta-Learning. - Wen Wen; Tieliang Gong; Yuxin Dong; Yong-Jin Liu; Weizhan Zhang (CoRR, 2025)

Towards the Generalization of Multi-view Learning: An Information-theoretical Analysis. - Wen Wen; Tieliang Gong; Yuxin Dong; Shujian Yu; Weizhan Zhang (CoRR, 2025)

Efficient Approximations for Matrix-Based Rényi's Entropy on Sequential Data. - Yuxin Dong; Tieliang Gong; Hong Chen 004; Chen Li 011 (IEEE Trans. Neural Networks Learn. Syst., 2025)

How Does Distribution Matching Help Domain Generalization: An Information-Theoretic Analysis. - Yuxin Dong; Tieliang Gong; Hong Chen 004; Shuangyong Song; Weizhan Zhang; Chen Li 011 (IEEE Trans. Inf. Theory, 2025)

CoD-MIL: Chain-of-Diagnosis Prompting Multiple Instance Learning for Whole Slide Image Classification. - Jiangbo Shi; Chen Li 011; Tieliang Gong; Chunbao Wang 002; Huazhu Fu (IEEE Trans. Medical Imaging, 2025)

InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective. - Yuanhong Zhang; Muyao Yuan; Weizhan Zhang; Tieliang Gong; Wen Wen; Jiangyong Ying; Weijie Shi (CoRR, 2025)

Lightweight Configuration Adaptation With Multi-Teacher Reinforcement Learning for Live Video Analytics. - Yuanhong Zhang; Weizhan Zhang; Muyao Yuan; Liang Xu; Caixia Yan; Tieliang Gong; Haipeng Du (IEEE Trans. Mob. Comput., 2025)

Information-Theoretic Generalization Bounds of Replay-based Continual Learning. - Wen Wen; Tieliang Gong; Yunjiao Zhang; Zeyu Gao; Weizhan Zhang; Yong-Jin Liu (CoRR, 2025)

Leveraging differentiable NAS and abstract genetic algorithms for optimizing on-mobile VSR performance. - Xuncheng Liu; Weizhan Zhang; Tieliang Gong; Caixia Yan; Rui Li (Mach. Learn., 2025)