Tieliang Gong - RankMe

103 papers A* 25A 1B 1Journal 62Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Beyond Sharpness: A Flatness Decomposition Framework for Efficient Continual Learning. AAAI Yanan Chen, Tieliang Gong, Yunjiao Zhang, Wen Wen
2026	J	`jnl`	Beyond Sharpness: A Flatness Decomposition Framework for Efficient Continual Learning. CoRR Yanan Chen, Tieliang Gong, Yunjiao Zhang, Wen Wen
2026	A*	`conf`	DynamicEarth: How Far Are We from Open-Vocabulary Change Detection? AAAI Kaiyu Li, Xiangyong Cao, Yupeng Deng, Chao Pang, Zepeng Xin, Hui Qiao, Tieliang Gong, Deyu Meng, Zhi Wang
2026	J	`jnl`	Nyström-aware approximations for matrix-based Rényi's entropy. Neural Networks Tieliang Gong, Wen Wen, Yuxin Dong, Zeyu Gao, Weizhan Zhang
2026	J	`jnl`	ProGIS: Prototype-Guided Interactive Segmentation for Pathological Images. IEEE Trans. Medical Imaging Jiusong Ge, Di Zhang, Yingkang Zhan, Jiashuai Liu, Tieliang Gong, Jialun Wu, Mireia Crispin-Ortuzar, Chen Li, Zeyu Gao
2026	A*	`conf`	Recovering Coherent Affective Patterns: Addressing Modality Missing in Multimodal Sentiment Analysis. AAAI Huiting Huang, Tieliang Gong, Kai He, Wen Wen, Weizhan Zhang, Mengling Feng
2026	J	`jnl`	Robust multimodal sentiment analysis via double information bottleneck. Inf. Fusion Huiting Huang, Tieliang Gong, Kai He, Jialun Wu, Erik Cambria, Mengling Feng
2026	J	`jnl`	Towards the generalization of multi-view learning: An information-theoretical analysis. Inf. Fusion Wen Wen, Tieliang Gong, Yuxin Dong, Shujian Yu, Bo Dong
2025	J	`jnl`	CoD-MIL: Chain-of-Diagnosis Prompting Multiple Instance Learning for Whole Slide Image Classification. IEEE Trans. Medical Imaging Jiangbo Shi, Chen Li, Tieliang Gong, Chunbao Wang, Huazhu Fu
2025	J	`jnl`	Efficient Approximations for Matrix-Based Rényi's Entropy on Sequential Data. IEEE Trans. Neural Networks Learn. Syst. Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li
2025	A*	`conf`	Exactly Tight Information-theoretic Generalization Bounds via Binary Jensen-Shannon Divergence. ICML Yuxin Dong, Haoran Guo, Tieliang Gong, Wen Wen, Chen Li
2025	J	`jnl`	How Does Distribution Matching Help Domain Generalization: An Information-Theoretic Analysis. IEEE Trans. Inf. Theory Yuxin Dong, Tieliang Gong, Hong Chen, Shuangyong Song, Weizhan Zhang, Chen Li
2025	A*	`conf`	InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective. ICML Yuanhong Zhang, Muyao Yuan, Weizhan Zhang, Tieliang Gong, Wen Wen, Jiangyong Ying, Weijie Shi
2025	J	`jnl`	InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective. CoRR Yuanhong Zhang, Muyao Yuan, Weizhan Zhang, Tieliang Gong, Wen Wen, Jiangyong Ying, Weijie Shi
2025	J	`jnl`	Information-Theoretic Generalization Bounds of Replay-based Continual Learning. CoRR Wen Wen, Tieliang Gong, Yunjiao Zhang, Zeyu Gao, Weizhan Zhang, Yong-Jin Liu
2025	J	`jnl`	Leveraging differentiable NAS and abstract genetic algorithms for optimizing on-mobile VSR performance. Mach. Learn. Xuncheng Liu, Weizhan Zhang, Tieliang Gong, Caixia Yan, Rui Li
2025	J	`jnl`	Lightweight Configuration Adaptation With Multi-Teacher Reinforcement Learning for Live Video Analytics. IEEE Trans. Mob. Comput. Yuanhong Zhang, Weizhan Zhang, Muyao Yuan, Liang Xu, Caixia Yan, Tieliang Gong, Haipeng Du
2025	A*	`conf`	Rectified Diffusion Guidance for Conditional Generation. CVPR Mengfei Xia, Nan Xue, Yujun Shen, Ran Yi, Tieliang Gong, Yong-Jin Liu
2025	J	`jnl`	Robust Multimodal Sentiment Analysis via Double Information Bottleneck. CoRR Huiting Huang, Tieliang Gong, Kai He, Jialun Wu, Erik Cambria, Mengling Feng
2025	A*	`conf`	SpotActor: Training-Free Layout-Controlled Consistent Image Generation. AAAI Jiahao Wang, Caixia Yan, Weizhan Zhang, Haonan Lin, Mengmeng Wang, Guang Dai, Tieliang Gong, Hao Sun, Jingdong Wang
2025	J	`jnl`	StaDis: Stability distance to detecting out-of-distribution data in computational pathology. Medical Image Anal. Di Zhang, Jiusong Ge, Jiashuai Liu, Chunbao Wang, Tieliang Gong, Zeyu Gao, Chen Li
2025	A*	`conf`	Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification. ICLR Wen Wen, Han Li, Tieliang Gong, Hong Chen
2025	J	`jnl`	Towards Sharper Information-theoretic Generalization Bounds for Meta-Learning. CoRR Wen Wen, Tieliang Gong, Yuxin Dong, Yong-Jin Liu, Weizhan Zhang
2025	J	`jnl`	Towards the Generalization of Multi-view Learning: An Information-theoretical Analysis. CoRR Wen Wen, Tieliang Gong, Yuxin Dong, Shujian Yu, Weizhan Zhang
2025	A*	`conf`	Trajectory-Dependent Generalization Bounds for Pairwise Learning with φ-mixing Samples. IJCAI Liyuan Liu, Hong Chen, Weifu Li, Tieliang Gong, Hao Deng, Yulong Wang
2025	J	`jnl`	Unsupervised Structural Scene Decomposition via Foreground-Aware Slot Attention with Pseudo-Mask Guidance. CoRR Huankun Sheng, Ming Li, Yixiang Wei, Yeying Fan, Yu-Hui Wen, Tieliang Gong, Yong-Jin Liu
2025	J	`jnl`	ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification. CoRR Jiangbo Shi, Chen Li, Tieliang Gong, Yefeng Zheng, Huazhu Fu
2024	A*	`conf`	Accelerating Non-Maximum Suppression: A Graph Theory Perspective. NeurIPS King-Siong Si, Lu Sun, Weizhan Zhang, Tieliang Gong, Jiahao Wang, Jiang Liu, Hao Sun
2024	J	`jnl`	Accelerating Non-Maximum Suppression: A Graph Theory Perspective. CoRR King-Siong Si, Lu Sun, Weizhan Zhang, Tieliang Gong, Jiahao Wang, Jiang Liu, Hao Sun
2024	J	`jnl`	Adaptive token selection for efficient detection transformer with dual teacher supervision. Knowl. Based Syst. Muyao Yuan, Weizhan Zhang, Caixia Yan, Tieliang Gong, Yuanhong Zhang, Jiangyong Ying
2024	J	`jnl`	E2-MIL: An explainable and evidential multiple instance learning framework for whole slide image classification. Medical Image Anal. Jiangbo Shi, Chen Li, Tieliang Gong, Huazhu Fu
2024	J	`jnl`	Error Density-dependent Empirical Risk Minimization. Expert Syst. Appl. Hong Chen, Xuelin Zhang, Tieliang Gong, Bin Gu, Feng Zheng
2024	A*	`conf`	Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization. IJCAI Xuelin Zhang, Hong Chen, Bin Gu, Tieliang Gong, Feng Zheng
2024	J	`jnl`	How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis. CoRR Yuxin Dong, Tieliang Gong, Hong Chen, Shuangyong Song, Weizhan Zhang, Chen Li
2024	J	`jnl`	Integrating K+ Entities Into Coreference Resolution on Biomedical Texts. IEEE ACM Trans. Comput. Biol. Bioinform. Yufei Li, Xiaoyong Ma, Xiangyu Zhou, Penghzhen Cheng, Kai He, Tieliang Gong, Chen Li
2024	J	`jnl`	Markov Subsampling Based on Huber Criterion. IEEE Trans. Neural Networks Learn. Syst. Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li
2024	A*	`conf`	OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance. NeurIPS Jiahao Wang, Caixia Yan, Haonan Lin, Weizhan Zhang, Mengmeng Wang, Tieliang Gong, Guang Dai, Hao Sun
2024	—	`conf`	PAMIL: Prototype Attention-Based Multiple Instance Learning for Whole Slide Image Classification. MICCAI (4) Jiashuai Liu, Anyu Mao, Yi Niu, Xianli Zhang, Tieliang Gong, Chen Li, Zeyu Gao
2024	J	`jnl`	PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation. Inf. Process. Manag. Jialun Wu, Xinyao Yu, Kai He, Zeyu Gao, Tieliang Gong
2024	J	`jnl`	Rectified Diffusion Guidance for Conditional Generation. CoRR Mengfei Xia, Nan Xue, Yujun Shen, Ran Yi, Tieliang Gong, Yong-Jin Liu
2024	A*	`conf`	Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds. ICLR Yuxin Dong, Tieliang Gong, Hong Chen, Shujian Yu, Chen Li
2024	—	`conf`	Shallow-Deep Synergy: Boosting Cross-Domain Generalization in Histopathological Image Segmentation. BIBM Xiangyu Wang, Weiheng Su, Yuxing Dong, Yang Li, Xianli Zhang, Tieliang Gong, Inês Prata Machado, Mireia Crispin-Ortuzar, Chen Li, Zeyu Gao
2024	J	`jnl`	SpotActor: Training-Free Layout-Controlled Consistent Image Generation. CoRR Jiahao Wang, Caixia Yan, Weizhan Zhang, Haonan Lin, Mengmeng Wang, Guang Dai, Tieliang Gong, Hao Sun, Jingdong Wang
2024	J	`jnl`	Template-Free Prompting for Few-Shot Named Entity Recognition via Semantic-Enhanced Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. Kai He, Rui Mao, Yucheng Huang, Tieliang Gong, Chen Li, Erik Cambria
2024	A*	`conf`	Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective. ICML Yuxin Dong, Tieliang Gong, Hong Chen, Zhongjiang He, Mengxiang Li, Shuangyong Song, Chen Li
2024	A*	`conf`	Towards Sharper Generalization Bounds for Adversarial Contrastive Learning. IJCAI Wen Wen, Han Li, Tieliang Gong, Hong Chen
2024	A*	`conf`	ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification. CVPR Jiangbo Shi, Chen Li, Tieliang Gong, Yefeng Zheng, Huazhu Fu
2023	J	`jnl`	A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image. IEEE Trans. Medical Imaging Jiangbo Shi, Lufei Tang, Yang Li, Xianli Zhang, Zeyu Gao, Yefeng Zheng, Chunbao Wang, Tieliang Gong, Chen Li
2023	J	`jnl`	A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images. Medical Image Anal. Zeyu Gao, Bangyang Hong, Yang Li, Xianli Zhang, Jialun Wu, Chunbao Wang, Xiangrong Zhang, Tieliang Gong, Yefeng Zheng, Deyu Meng, Chen Li
2023	J	`jnl`	Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning. IEEE Trans. Medical Imaging 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
2023	J	`jnl`	Dual Attention and Patient Similarity Network for drug recommendation. Bioinform. Jialun Wu, Yuxin Dong, Zeyu Gao, Tieliang Gong, Chen Li
2023	—	`conf`	Enhancing Cross-Lingual Few-Shot Named Entity Recognition by Prompt-Guiding. ICANN (1) Yige Wang, Yucheng Huang, Tieliang Gong, Chen Li
2023	J	`jnl`	MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification. IEEE Trans. Medical Imaging Jiangbo Shi, Lufei Tang, Zeyu Gao, Yang Li, Chunbao Wang, Tieliang Gong, Chen Li, Huazhu Fu
2023	J	`jnl`	Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. Kai He, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria
2023	A*	`conf`	On the Stability and Generalization of Triplet Learning. AAAI Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng
2023	J	`jnl`	On the Stability and Generalization of Triplet Learning. CoRR Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng
2023	J	`jnl`	Optimal Randomized Approximations for Matrix-Based Rényi's Entropy. IEEE Trans. Inf. Theory Yuxin Dong, Tieliang Gong, Shujian Yu, Chen Li
2023	—	`conf`	PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition. ACL (Findings) Yucheng Huang, Wenqiang Liu, Xianli Zhang, Jun Lang, Tieliang Gong, Chen Li
2023	A*	`conf`	Robust and Fast Measure of Information via Low-Rank Representation. AAAI Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li
2023	J	`jnl`	Robust partially linear models for automatic structure discovery. Expert Syst. Appl. Yuxiang Han, Hong Chen, Tieliang Gong, Jia Cai, Hao Deng
2023	J	`jnl`	Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image. IEEE J. Biomed. Health Informatics Jiangbo Shi, Tieliang Gong, Chunbao Wang, Chen Li
2023	A*	`conf`	Tilted Sparse Additive Models. ICML Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao
2023	J	`jnl`	Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective. CoRR Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li
2023	A*	`conf`	Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective. IJCAI Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li
2023	J	`jnl`	Virtual prompt pre-training for prototype-based few-shot relation extraction. Expert Syst. Appl. Kai He, Yucheng Huang, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria
2022	B	`conf`	COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition. COLING Yucheng Huang, Kai He, Yige Wang, Xianli Zhang, Tieliang Gong, Rui Mao, Chen Li
2022	J	`jnl`	Computationally Efficient Approximations for Matrix-Based Rényi's Entropy. IEEE Trans. Signal Process. Tieliang Gong, Yuxin Dong, Shujian Yu, Bo Dong
2022	J	`jnl`	Distinguished representation of identical mentions in bio-entity coreference resolution. BMC Medical Informatics Decis. Mak. Yufei Li, Xiangyu Zhou, Jie Ma, Xiaoyong Ma, Pengzhen Cheng, Tieliang Gong, Chen Li
2022	A*	`conf`	Error-Based Knockoffs Inference for Controlled Feature Selection. AAAI Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng
2022	J	`jnl`	Error-based Knockoffs Inference for Controlled Feature Selection. CoRR Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng
2022	J	`jnl`	JCBIE: a joint continual learning neural network for biomedical information extraction. BMC Bioinform. Kai He, Rui Mao, Tieliang Gong, Erik Cambria, Chen Li
2022	—	`conf`	Knowledge Enhanced Coreference Resolution via Gated Attention. BIBM Kai He, Bing Mao, Xiangyu Zhou, Yufei Li, Tieliang Gong, Chen Li, Jialun Wu
2022	A	`conf`	Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation. CIKM Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang
2022	J	`jnl`	Optimal Randomized Approximations for Matrix based Renyi's Entropy. CoRR Yuxin Dong, Tieliang Gong, Shujian Yu, Chen Li
2022	A*	`conf`	Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment. AAAI Tieliang Gong, Yuxin Dong, Hong Chen, Wei Feng, Bo Dong, Chen Li
2022	J	`jnl`	Robust and Fast Measure of Information via Low-rank Representation. CoRR Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li
2022	—	`conf`	Uncertainty-based Model Acceleration for Cancer Classification in Whole-Slide Images. BIBM Zeyu Gao, Anyu Mao, Jialun Wu, Yang Li, Chunbao Wang, Caixia Ding, Tieliang Gong, Chen Li
2022	—	`conf`	Uncertainty-guided Mutual Consistency Training for Semi-supervised Biomedical Relation Extraction. BIBM Bing Mao, Chang Jia, Yucheng Huang, Kai He, Jialun Wu, Tieliang Gong, Chen Li
2022	J	`jnl`	Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast. IEEE Trans. Medical Imaging Zeyu Gao, Chang Jia, Yang Li, Xianli Zhang, Bangyang Hong, Jialun Wu, Tieliang Gong, Chunbao Wang, Deyu Meng, Yefeng Zheng, Chen Li
2021	—	`conf`	A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data. BIBM Jialun Wu, Ruonan Zhang, Tieliang Gong, Haichuan Zhang, Chunbao Wang, Chen Li
2021	J	`jnl`	A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data. CoRR Jialun Wu, Zeyu Gao, Haichuan Zhang, Ruonan Zhang, Tieliang Gong, Chunbao Wang, Chen Li
2021	—	`conf`	A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning. BIBM Jialun Wu, Ruonan Zhang, Tieliang Gong, Xinrui Bao, Zeyu Gao, Haichuan Zhang, Chunbao Wang, Chen Li
2021	J	`jnl`	A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning. CoRR Jialun Wu, Haichuan Zhang, Zeyu Gao, Xinrui Bao, Tieliang Gong, Chunbao Wang, Chen Li
2021	—	`conf`	AEFNet: Adaptive Scale Feature Based on Elastic-and-Funnel Neural Network for Healthcare Representation. BIBM Yang Liu, Jialun Wu, Yuhua Wei, Bing Mao, Chen Li, Tieliang Gong
2021	—	`conf`	BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network. BIBM Jialun Wu, Ruonan Zhang, Tieliang Gong, Yang Liu, Chunbao Wang, Chen Li
2021	J	`jnl`	BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network. CoRR Jialun Wu, Yang Liu, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li
2021	J	`jnl`	Computationally Efficient Approximations for Matrix-based Renyi's Entropy. CoRR Tieliang Gong, Yuxin Dong, Shujian Yu, Hong Chen, Bo Dong, Chen Li, Qinghua Zheng
2021	J	`jnl`	Learning performance of LapSVM based on Markov subsampling. Neurocomputing Tieliang Gong, Hong Chen, Chen Xu
2021	J	`jnl`	Markov subsampling based Huber Criterion. CoRR Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li
2021	—	`conf`	Meta Mask Correction for Nuclei Segmentation in Histopathological Image. BIBM Jiangbo Shi, Chang Jia, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li
2021	J	`jnl`	Meta Mask Correction for Nuclei Segmentation in Histopathological Image. CoRR Jiangbo Shi, Chang Jia, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li
2021	—	`conf`	PIMIP: An Open Source Platform for Pathology Information Management and Integration. BIBM Jialun Wu, Anyu Mao, Xinrui Bao, Haichuan Zhang, Zeyu Gao, Chunbao Wang, Tieliang Gong, Chen Li
2021	J	`jnl`	PIMIP: An Open Source Platform for Pathology Information Management and Integration. CoRR Jialun Wu, Anyu Mao, Xinrui Bao, Haichuan Zhang, Zeyu Gao, Chunbao Wang, Tieliang Gong, Chen Li
2021	J	`jnl`	Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment. CoRR Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Wei Feng, Chen Li
2021	—	`conf`	W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image. BIBM Anyu Mao, Jialun Wu, Xinrui Bao, Zeyu Gao, Tieliang Gong, Chen Li
2021	J	`jnl`	W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image. CoRR Anyu Mao, Jialun Wu, Xinrui Bao, Zeyu Gao, Tieliang Gong, Chen Li
2020	J	`jnl`	Modal additive models with data-driven structure identification. Math. Found. Comput. Tieliang Gong, Chen Xu, Hong Chen
2020	A*	`conf`	Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery. NeurIPS Yingjie Wang, Hong Chen, Feng Zheng, Chen Xu, Tieliang Gong, Yanhong Chen
2020	A*	`conf`	Robust Gradient-Based Markov Subsampling. AAAI Tieliang Gong, Quanhan Xi, Chen Xu
2018	A*	`conf`	Margin Based PU Learning. AAAI Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin
2017	J	`jnl`	Generalization Analysis of Fredholm Kernel Regularized Classifiers. Neural Comput. Tieliang Gong, Zongben Xu, Hong Chen
2016	J	`jnl`	Learning With ℓ IEEE Trans. Cybern. Tieliang Gong, Bin Zou, Zongben Xu
2012	J	`jnl`	Robust Alternative Minimization for Matrix Completion. IEEE Trans. Syst. Man Cybern. Part B Xiaoqiang Lu, Tieliang Gong, Pingkun Yan, Yuan Yuan, Xuelong Li