Stan Z. Li - RankMe

784 papers A* 140A 16B 55C 3Misc 18Journal 374Unranked 152

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond the Academic Monoculture: A Unified Framework and Industrial Perspective for Attributed Graph Clustering. CoRR Yunhui Liu, Yue Liu, Yongchao Liu, Tao Zheng, Stan Z. Li, Xinwang Liu, Tieke He
2026	A*	`conf`	Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges. AAAI Changxi Chi, Yufei Huang, Jun Xia, Jiangbin Zheng, Yunfan Liu, Zelin Zang, Stan Z. Li
2026	J	`jnl`	Dynamics-inspired Structure Hallucination for Protein-protein Interaction Modeling. CoRR Fang Wu, Stan Z. Li
2026	A*	`conf`	Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling. AAAI Mengran Li, Zelin Zang, Wenbin Xing, Junzhou Chen, Ronghui Zhang, Jiebo Luo, Stan Z. Li
2026	A*	`conf`	MergeDNA: Context-Aware Genome Modeling with Dynamic Tokenization Through Token Merging. AAAI Siyuan Li, Kai Yu, Anna Wang, Zicheng Liu, Chang Yu, Jingbo Zhou, Qirong Yang, Yucheng Guo, Xiaoming Zhang, Stan Z. Li
2026	J	`jnl`	SKIP: A Prototype-Based Scalable Knowledge Graph Representation Learning Method. IEEE Trans. Neural Networks Learn. Syst. Yue Liu, Ke Liang, Jun Xia, Meng Liu, Xihong Yang, Xinwang Liu, Sihang Zhou, Stan Z. Li
2026	J	`jnl`	The Trinity of Consistency as a Defining Principle for General World Models. CoRR Jingxuan Wei, Siyuan Li, Yuhang Xu, Zheng Sun, Junjie Jiang, Hexuan Jin, Caijun Jia, Honghao He, Xinglong Xu, Xi Bai, Chang Yu, Yumou Liu, Junnan Zhu, Xuanhe Zhou, Jintao Chen, Xiaobin Hu, Shancheng Pang, Bihui Yu, Ran He, Zhen Lei, Stan Z. Li, Conghui He, Shuicheng Yan, Cheng Tan
2026	A*	`conf`	VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention. WWW Jingbo Zhou, Jun Xia, Siyuan Li, Yunfan Liu, Wenjun Wang, Yufei Huang, Changxi Chi, Mutian Hong, Zhuoli Ouyang, Shu Wang, Zhongqi Wang, Xingyu Wu, Chang Yu, Stan Z. Li
2026	J	`jnl`	VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention. CoRR Jingbo Zhou, Jun Xia, Siyuan Li, Yunfan Liu, Wenjun Wang, Yufei Huang, Changxi Chi, Mutian Hong, Zhuoli Ouyang, Shu Wang, Zhongqi Wang, Xingyu Wu, Chang Yu, Stan Z. Li
2026	J	`jnl`	VitaMol: Lightweight molecular modality expansion in discrete space for multi-task transfer learning. Pattern Recognit. Yunfan Liu, Zhifeng Gao, Lirong Wu, Jingbo Zhou, Tongyue Xu, Cheng Tan, Yufei Huang, Changxi Chi, Chang Yu, Stan Z. Li
2025	A*	`conf`	A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing. IJCAI Jun Xia, Jingbo Zhou, Shaorong Chen, Tianze Ling, Stan Z. Li
2025	J	`jnl`	A Review of BioTree Construction in the Context of Information Fusion: Priors, Methods, Applications and Trends. Inf. Fusion Zelin Zang, Yongjie Xu, Chenrui Duan, Yue Yuan, Yue Shen, Jinlin Wu, Zhen Lei, Stan Z. Li
2025	J	`jnl`	A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer. CoRR Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Guojiang Zhao, Zhifeng Gao, Stan Z. Li
2025	A*	`conf`	A Simple yet Effective ΔΔG Predictor is An Unsupervised Antibody Optimizer and Explainer. ICLR Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Guojiang Zhao, Zhifeng Gao, Stan Z. Li
2025	J	`jnl`	Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks. CoRR Yuang Jia, Xiaojuan Shan, Jun Xia, Guancheng Wan, Yuchen Zhang, Wenke Huang, Mang Ye, Stan Z. Li
2025	J	`jnl`	AlphaFold Database Debiasing for Robust Inverse Folding. CoRR Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Siyuan Li, Yufei Huang, Stan Z. Li
2025	J	`jnl`	An Extensive Survey With Empirical Studies on Deep Temporal Point Process. IEEE Trans. Knowl. Data Eng. Haitao Lin, Cheng Tan, Lirong Wu, Zicheng Liu, Zhangyang Gao, Stan Z. Li
2025	A*	`conf`	Bridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovo. ICLR Jun Xia, Sizhe Liu, Jingbo Zhou, Shaorong Chen, Hongxin Xiang, Zicheng Liu, Yue Liu, Stan Z. Li
2025	A*	`conf`	CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph. ICLR Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Cheng Tan, Zicheng Liu, Zhifeng Gao, Stan Z. Li
2025	J	`jnl`	Complex hierarchical structures analysis in single-cell data with Poincaré deep manifold transformation. Briefings Bioinform. Yongjie Xu, Zelin Zang, Bozhen Hu, Yue Yuan, Cheng Tan, Jun Xia, Stan Z. Li
2025	Misc	`conf`	DapPep: Domain Adaptive Peptide-agnostic Learning for Universal T-cell Receptor-antigen Binding Affinity Prediction. ICASSP Jiangbin Zheng, Qianhui Xu, Ruichen Xia, Stan Z. Li
2025	J	`jnl`	Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges. CoRR Changxi Chi, Yufei Huang, Jun Xia, Jiangbin Zheng, Yunfan Liu, Zelin Zang, Stan Z. Li
2025	J	`jnl`	Dynamics-inspired Structure Hallucination for Protein-protein Interaction Modeling. Trans. Mach. Learn. Res. Fang Wu, Stan Z. Li
2025	A*	`conf`	EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow. ICLR Yufei Huang, Yunshu Liu, Lirong Wu, Haitao Lin, Cheng Tan, Odin Zhang, Zhangyang Gao, Siyuan Li, Zicheng Liu, Yunfan Liu, Tailin Wu, Stan Z. Li
2025	B	`conf`	Explaining Convolutional Neural Networks via a Concise and Hierarchical Approach. IJCB Jiawei Pan, Xiangyu Zhu, Haoyuan Zhang, Stan Z. Li, Zhen Lei
2025	J	`jnl`	FGeneBERT: function-driven pre-trained gene language model for metagenomics. Briefings Bioinform. Chenrui Duan, Zelin Zang, Yongjie Xu, Hang He, Siyuan Li, Zihan Liu, Zhen Lei, Ju-Sheng Zheng, Stan Z. Li
2025	A*	`conf`	FoldToken: Learning Protein Language via Vector Quantization and Beyond. AAAI Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li
2025	J	`jnl`	G2PDiffusion: Genotype-to-Phenotype Prediction with Diffusion Models. CoRR Mengdi Liu, Zhangyang Gao, Hong Chang, Stan Z. Li, Shiguang Shan, Xilin Chen
2025	A*	`conf`	GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype. IJCAI Changxi Chi, Jun Xia, Jingbo Zhou, Jiabei Cheng, Chang Yu, Stan Z. Li
2025	J	`jnl`	GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype. CoRR Changxi Chi, Jun Xia, Jingbo Zhou, Jiabei Cheng, Chang Yu, Stan Z. Li
2025	J	`jnl`	GenURL: A General Framework for Unsupervised Representation Learning. IEEE Trans. Neural Networks Learn. Syst. Siyuan Li, Zicheng Liu, Zelin Zang, Di Wu, Zhiyuan Chen, Stan Z. Li
2025	A*	`conf`	Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling. AAAI Fang Wu, Bozhen Hu, Stan Z. Li
2025	J	`jnl`	Hierarchical Quantized Diffusion Based Tree Generation Method for Hierarchical Representation and Lineage Analysis. CoRR Zelin Zang, Wenzhe Li, Fei Chen, Yongjie Xu, Chang Yu, Zhen Lei, Stan Z. Li
2025	J	`jnl`	Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling. CoRR Mengran Li, Zelin Zang, Wenbin Xing, Junzhou Chen, Ronghui Zhang, Jiebo Luo, Stan Z. Li
2025	J	`jnl`	Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting. IEEE Trans. Neural Networks Learn. Syst. Lirong Wu, Haitao Lin, Guojiang Zhao, Cheng Tan, Stan Z. Li
2025	J	`jnl`	Life-Code: Central Dogma Modeling with Multi-Omics Sequence Unification. CoRR Zicheng Liu, Siyuan Li, Zhiyuan Chen, Lei Xin, Fang Wu, Chang Yu, Qirong Yang, Yucheng Guo, Yujie Yang, Stan Z. Li
2025	J	`jnl`	MDTree: A Masked Dynamic Autoregressive Model for Phylogenetic Inference. Trans. Mach. Learn. Res. Zelin Zang, Chenrui Duan, Siyuan Li, Jinlin Wu, BingoWing-Kuen Ling, Fuji Yang, Jiebo Luo, Zhen Lei, Stan Z. Li
2025	A*	`conf`	MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction. ICLR Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Lirong Wu, Siyuan Li, Yufei Huang, Jun Xia, Bozhen Hu, Stan Z. Li
2025	J	`jnl`	MergeDNA: Context-aware Genome Modeling with Dynamic Tokenization through Token Merging. CoRR Siyuan Li, Kai Yu, Anna Wang, Zicheng Liu, Chang Yu, Jingbo Zhou, Qirong Yang, Yucheng Guo, Xiaoming Zhang, Stan Z. Li
2025	J	`jnl`	MuST: multiple-modality structure transformation for single-cell spatial transcriptomics. Briefings Bioinform. Zelin Zang, Liangyu Li, Yongjie Xu, Chenrui Duan, Yue Shen, Yi Sun, Zhen Lei, Stan Z. Li
2025	J	`jnl`	Multimodal Regression for Enzyme Turnover Rates Prediction. CoRR Bozhen Hu, Cheng Tan, Siyuan Li, Jiangbin Zheng, Sizhe Qiu, Jun Xia, Stan Z. Li
2025	J	`jnl`	On the Design of One-step Diffusion via Shortcutting Flow Paths. CoRR Haitao Lin, Peiyan Hu, Minsi Ren, Zhifeng Gao, Zhi-Ming Ma, Guolin Ke, Tailin Wu, Stan Z. Li
2025	J	`jnl`	PFMBench: Protein Foundation Model Benchmark. CoRR Zhangyang Gao, Hao Wang, Cheng Tan, Chenrui Xu, Mengdi Liu, Bozhen Hu, Linlin Chao, Xiaoming Zhang, Stan Z. Li
2025	J	`jnl`	PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs. CoRR Xinzhe Zheng, Hao Du, Fanding Xu, Jinzhe Li, Zhiyuan Liu, Wenkang Wang, Tao Chen, Wanli Ouyang, Stan Z. Li, Yan Lu, Nanqing Dong, Yang Zhang
2025	Misc	`conf`	Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design. ICASSP Jiangbin Zheng, Ge Wang, Han Zhang, Stan Z. Li
2025	J	`jnl`	R3Design: deep tertiary structure-based RNA sequence design and beyond. Briefings Bioinform. Cheng Tan, Yijie Zhang, Zhangyang Gao, Hanqun Cao, Siyuan Li, Siqi Ma, Mathieu Blanchette, Stan Z. Li
2025	A*	`conf`	ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing. ICLR Shaorong Chen, Jun Xia, Jingbo Zhou, Lecheng Zhang, Zhangyang Gao, Bozhen Hu, Cheng Tan, Wenjie Du, Stan Z. Li
2025	A*	`conf`	Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization. AAAI Lirong Wu, Haitao Lin, Yufei Huang, Zhangyang Gao, Cheng Tan, Yunfan Liu, Tailin Wu, Stan Z. Li
2025	J	`jnl`	Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization. CoRR Lirong Wu, Haitao Lin, Yufei Huang, Zhangyang Gao, Cheng Tan, Yunfan Liu, Tailin Wu, Stan Z. Li
2025	J	`jnl`	SP-DTI: subpocket-informed transformer for drug-target interaction prediction. Bioinform. Sizhe Liu, Yuchen Liu, Haofeng Xu, Jun Xia, Stan Z. Li
2025	J	`jnl`	SimVPv2: Towards Simple Yet Powerful Spatiotemporal Predictive Learning. IEEE Trans. Multim. Cheng Tan, Zhangyang Gao, Siyuan Li, Stan Z. Li
2025	A*	`conf`	SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches. IJCAI Cheng Tan, Qi Chen, Jingxuan Wei, Gaowei Wu, Zhangyang Gao, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li
2025	J	`jnl`	SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches. CoRR Cheng Tan, Qi Chen, Jingxuan Wei, Gaowei Wu, Zhangyang Gao, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li
2025	J	`jnl`	Tokenizing Electron Cloud in Protein-Ligand Interaction Learning. CoRR Haitao Lin, Odin Zhang, Jia Xu, Yunfan Liu, Zheng Chen, Lirong Wu, Yufei Huang, Zhifeng Gao, Stan Z. Li
2025	J	`jnl`	TrinityDNA: A Bio-Inspired Foundational Model for Efficient Long-Sequence DNA Modeling. CoRR Qirong Yang, Yucheng Guo, Zicheng Liu, Yujie Yang, Qijin Yin, Siyuan Li, Shaomin Ji, Linlin Chao, Xiaoming Zhang, Stan Z. Li
2025	J	`jnl`	USTEP: Spatio-Temporal Predictive Learning Under a Unified View. IEEE Trans. Pattern Anal. Mach. Intell. Cheng Tan, Jue Wang, Zhangyang Gao, Siyuan Li, Stan Z. Li
2025	J	`jnl`	Unlasting: Unpaired Single-Cell Multi-Perturbation Estimation by Dual Conditional Diffusion Implicit Bridges. CoRR Changxi Chi, Jun Xia, Yufei Huang, Jingbo Zhou, Siyuan Li, Yunfan Liu, Chang Yu, Stan Z. Li
2025	J	`jnl`	Vision Transformer With Relation Exploration for Pedestrian Attribute Recognition. IEEE Trans. Multim. Hao Tan, Zichang Tan, Dunfang Weng, Ajian Liu, Jun Wan, Zhen Lei, Stan Z. Li
2025	J	`jnl`	X-clustering beyond contextual representations. Inf. Sci. Tianyi Huang, Zhengjun Zhang, Xin Yuan, Stan Z. Li, Neal Naixue Xiong, Shenghui Cheng
2025	A*	`conf`	dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen. AAAI Cheng Tan, Yijie Zhang, Zhangyang Gao, Yufei Huang, Haitao Lin, Lirong Wu, Fandi Wu, Mathieu Blanchette, Stan Z. Li
2025	J	`jnl`	dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen. CoRR Cheng Tan, Yijie Zhang, Zhangyang Gao, Yufei Huang, Haitao Lin, Lirong Wu, Fandi Wu, Mathieu Blanchette, Stan Z. Li
2024	A*	`conf`	A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer. ICML Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li
2024	J	`jnl`	A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer. CoRR Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li
2024	J	`jnl`	A Review of Artificial Intelligence based Biological-Tree Construction: Priorities, Methods, Applications and Trends. CoRR Zelin Zang, Yongjie Xu, Chenrui Duan, Jinlin Wu, Stan Z. Li, Zhen Lei
2024	J	`jnl`	A Survey on Generative Diffusion Models. IEEE Trans. Knowl. Data Eng. Hanqun Cao, Cheng Tan, Zhangyang Gao, Yilun Xu, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li
2024	J	`jnl`	A Survey on Mixup Augmentations and Beyond. CoRR Xin Jin, Hongyu Zhu, Siyuan Li, Zedong Wang, Zicheng Liu, Chang Yu, Huafeng Qin, Stan Z. Li
2024	J	`jnl`	A Teacher-Free Graph Knowledge Distillation Framework With Dual Self-Distillation. IEEE Trans. Knowl. Data Eng. Lirong Wu, Haitao Lin, Zhangyang Gao, Guojiang Zhao, Stan Z. Li
2024	J	`jnl`	A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation. CoRR Lirong Wu, Haitao Lin, Zhangyang Gao, Guojiang Zhao, Stan Z. Li
2024	J	`jnl`	AdaNovo: Adaptive \emph{De Novo} Peptide Sequencing with Conditional Mutual Information. CoRR Jun Xia, Shaorong Chen, Jingbo Zhou, Tianze Ling, Wenjie Du, Sizhe Liu, Stan Z. Li
2024	A*	`conf`	AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases. NeurIPS Jun Xia, Shaorong Chen, Jingbo Zhou, Xiaojun Shan, Wenjie Du, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jiangbin Zheng, Stan Z. Li
2024	J	`jnl`	Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Lirong Wu, Haitao Lin, Bozhen Hu, Cheng Tan, Zhangyang Gao, Zicheng Liu, Stan Z. Li
2024	J	`jnl`	BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science. CoRR Xinna Lin, Siqi Ma, Junjie Shan, Xiaojing Zhang, Shell Xu Hu, Tiannan Guo, Stan Z. Li, Kaicheng Yu
2024	—	`conf`	Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-consistency Training. ECCV (40) Cheng Tan, Jingxuan Wei, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Ruifeng Guo, Bihui Yu, Stan Z. Li
2024	J	`jnl`	CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph. CoRR Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Zicheng Liu, Siyuan Li, Cheng Tan, Zhifeng Gao, Stan Z. Li
2024	—	`conf`	CCPL: Cross-Modal Contrastive Protein Learning. ICPR (27) Jiangbin Zheng, Stan Z. Li
2024	J	`jnl`	Concept Discovery in Deep Neural Networks for Explainable Face Anti-Spoofing. CoRR Haoyuan Zhang, Xiangyu Zhu, Li Gao, Jiawei Pan, Kai Pang, Guoying Zhao, Stan Z. Li, Zhen Lei
2024	A*	`conf`	Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer. AAAI Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li
2024	J	`jnl`	DCS-Net: Pioneering Leakage-Free Point Cloud Pretraining Framework with Global Insights. CoRR Zhe Li, Zhangyang Gao, Cheng Tan, Stan Z. Li, Laurence T. Yang
2024	J	`jnl`	DMT-EV: An Explainable Deep Network for Dimension Reduction. IEEE Trans. Vis. Comput. Graph. Zelin Zang, Shenghui Cheng, Hanchen Xia, Liangyu Li, Yaoting Sun, Yongjie Xu, Lei Shang, Baigui Sun, Stan Z. Li
2024	J	`jnl`	DMT-HI: MOE-based Hyperbolic Interpretable Deep Manifold Transformation for Unspervised Dimensionality Reduction. CoRR Zelin Zang, Yuhao Wang, Jinlin Wu, Hong Liu, Yue Shen, Stan Z. Li, Zhen Lei
2024	J	`jnl`	DapPep: Domain Adaptive Peptide-agnostic Learning for Universal T-cell Receptor-antigen Binding Affinity Prediction. CoRR Jiangbin Zheng, Qianhui Xu, Ruichen Xia, Stan Z. Li
2024	A*	`conf`	Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective. ICML Cheng Tan, Zhangyang Gao, Hanqun Cao, Xingran Chen, Ge Wang, Lirong Wu, Jun Xia, Jiangbin Zheng, Stan Z. Li
2024	A*	`conf`	Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks. ICLR Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li
2024	J	`jnl`	Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks. CoRR Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li
2024	A*	`conf`	Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module. NeurIPS Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Jun Xia, Zhizhi Yu, Zelin Zang, Di Jin, Carl Yang, Rui Zhang, Stan Z. Li
2024	J	`jnl`	Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding. CoRR Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li
2024	Misc	`conf`	Deep Manifold Transformation for Protein Representation Learning. ICASSP Bozhen Hu, Zelin Zang, Cheng Tan, Stan Z. Li
2024	J	`jnl`	Deep Manifold Transformation for Protein Representation Learning. CoRR Bozhen Hu, Zelin Zang, Cheng Tan, Stan Z. Li
2024	A*	`conf`	DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation. ICML Zelin Zang, Hao Luo, Kai Wang, Panpan Zhang, Fan Wang, Stan Z. Li, Yang You
2024	A*	`conf`	DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning. ICDE Jun Xia, Shaorong Chen, Yue Liu, Zhangyang Gao, Jiangbin Zheng, Xihong Yang, Stan Z. Li
2024	J	`jnl`	Discovering the Representation Bottleneck of Graph Neural Networks. IEEE Trans. Knowl. Data Eng. Fang Wu, Siyuan Li, Stan Z. Li
2024	J	`jnl`	Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions. CoRR Rui Sun, Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li
2024	J	`jnl`	Enhancing human-like multimodal reasoning: a new challenging dataset and comprehensive framework. Neural Comput. Appl. Jingxuan Wei, Cheng Tan, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li
2024	J	`jnl`	FGBERT: Function-Driven Pre-trained Gene Language Model for Metagenomics. CoRR Chenrui Duan, Zelin Zang, Yongjie Xu, Hang He, Zihan Liu, Zijia Song, Ju-Sheng Zheng, Stan Z. Li
2024	J	`jnl`	FM-TS: Flow Matching for Time Series Generation. CoRR Yang Hu, Xiao Wang, Lirong Wu, Huatian Zhang, Stan Z. Li, Sheng Wang, Tianlong Chen
2024	A*	`conf`	FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning. NeurIPS Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li
2024	J	`jnl`	FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning. CoRR Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li
2024	J	`jnl`	FoldToken2: Learning compact, invariant and generative protein structure language. CoRR Zhangyang Gao, Cheng Tan, Stan Z. Li
2024	J	`jnl`	FoldToken: Learning Protein Language via Vector Quantization and Beyond. CoRR Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li
2024	J	`jnl`	GNN Cleaner: Label Cleaner for Graph Structured Data. IEEE Trans. Knowl. Data Eng. Jun Xia, Haitao Lin, Yongjie Xu, Cheng Tan, Lirong Wu, Siyuan Li, Stan Z. Li
2024	J	`jnl`	GenBench: A Benchmarking Suite for Systematic Evaluation of Genomic Foundation Models. CoRR Zicheng Liu, Jiahui Li, Siyuan Li, Zelin Zang, Cheng Tan, Yufei Huang, Yajing Bai, Stan Z. Li
2024	A*	`conf`	General Point Model Pretraining with Autoencoding and Autoregressive. CVPR Zhe Li, Zhangyang Gao, Cheng Tan, Bocheng Ren, Laurence T. Yang, Stan Z. Li
2024	J	`jnl`	Gentle-CLIP: Exploring Aligned Semantic In Low-Quality Multimodal Data With Soft Alignment. CoRR Zijia Song, Zelin Zang, Yelin Wang, Guozheng Yang, Jiangbin Zheng, Kaicheng Yu, Wanyu Chen, Stan Z. Li
2024	A*	`conf`	GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation. ICML Haitao Lin, Lirong Wu, Yufei Huang, Yunfan Liu, Odin Zhang, Yuanqing Zhou, Rui Sun, Stan Z. Li
2024	J	`jnl`	Graph-level Protein Representation Learning by Structure Knowledge Refinement. CoRR Ge Wang, Zelin Zang, Jiangbin Zheng, Jun Xia, Stan Z. Li
2024	J	`jnl`	Homophily-Enhanced Self-Supervision for Graph Structure Learning: Insights and Directions. IEEE Trans. Neural Networks Learn. Syst. Lirong Wu, Haitao Lin, Zihan Liu, Zicheng Liu, Yufei Huang, Stan Z. Li
2024	—	`conf`	InsertGNN: A Hierarchical Graph Neural Network for the TOEFL Sentence Insertion Problem. EMNLP (Findings) Fang Wu, Stan Z. Li
2024	A*	`conf`	Instructor-inspired Machine Learning for Robust Molecular Property Prediction. NeurIPS Fang Wu, Shuting Jin, Siyuan Li, Stan Z. Li
2024	—	`conf`	Interpretable and Generalizable Spatiotemporal Predictive Learning with Disentangled Consistency. ECML/PKDD (3) Jingxuan Wei, Cheng Tan, Zhangyang Gao, Linzhuang Sun, Bihui Yu, Ruifeng Guo, Stan Z. Li
2024	A*	`conf`	KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement. ICLR Zhangyang Gao, Cheng Tan, Xingran Chen, Yijie Zhang, Jun Xia, Siyuan Li, Stan Z. Li
2024	A*	`conf`	Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure. NeurIPS Bozhen Hu, Cheng Tan, Jun Xia, Yue Liu, Lirong Wu, Jiangbin Zheng, Yongjie Xu, Yufei Huang, Stan Z. Li
2024	J	`jnl`	Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting. CoRR Lirong Wu, Haitao Lin, Guojiang Zhao, Cheng Tan, Stan Z. Li
2024	J	`jnl`	Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning. CoRR Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V. Chawla, Stan Z. Li
2024	A*	`conf`	Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning. ICML Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V. Chawla, Stan Z. Li
2024	A*	`conf`	LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. IJCAI Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li
2024	J	`jnl`	LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. CoRR Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li
2024	A*	`conf`	MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding. ICLR Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V. Chawla, Stan Z. Li
2024	J	`jnl`	MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding. CoRR Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V. Chawla, Stan Z. Li
2024	A*	`conf`	MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning. CVPR Zhe Li, Laurence T. Yang, Bocheng Ren, Xin Nie, Zhangyang Gao, Cheng Tan, Stan Z. Li
2024	J	`jnl`	MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning. CoRR Zhe Li, Laurence T. Yang, Bocheng Ren, Xin Nie, Zhangyang Gao, Cheng Tan, Stan Z. Li
2024	J	`jnl`	Masked Modeling for Self-supervised Representation Learning on Vision and Beyond. CoRR Siyuan Li, Luyuan Zhang, Zedong Wang, Di Wu, Lirong Wu, Zicheng Liu, Jun Xia, Cheng Tan, Yang Liu, Baigui Sun, Stan Z. Li
2024	J	`jnl`	MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction. CoRR Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Lirong Wu, Siyuan Li, Yufei Huang, Jun Xia, Bozhen Hu, Stan Z. Li
2024	A*	`conf`	MetaEnzyme: Meta Pan-Enzyme Learning for Task-Adaptive Redesign. ACM Multimedia Jiangbin Zheng, Han Zhang, Qianqing Xu, An-Ping Zeng, Stan Z. Li
2024	J	`jnl`	MetaEnzyme: Meta Pan-Enzyme Learning for Task-Adaptive Redesign. CoRR Jiangbin Zheng, Han Zhang, Qianqing Xu, An-Ping Zeng, Stan Z. Li
2024	A*	`conf`	MogaNet: Multi-order Gated Aggregation Network. ICLR Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li
2024	—	`conf`	MuST: Maximizing the Latent Capacity of Spatial Transcriptomics Data with Multi-modality Structure Transformation. BIBM Zelin Zang, Liangyu Li, Yongjie Xu, Jiahao Li, Chenrui Duan, Yi Sun, Zhen Lei, Stan Z. Li
2024	J	`jnl`	Must: Maximizing Latent Capacity of Spatial Transcriptomics Data. CoRR Zelin Zang, Liangyu Li, Yongjie Xu, Chenrui Duan, Kai Wang, Yang You, Yi Sun, Stan Z. Li
2024	J	`jnl`	NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics. CoRR Jingbo Zhou, Shaorong Chen, Jun Xia, Sizhe Liu, Tianze Ling, Wenjie Du, Yue Liu, Jianwei Yin, Stan Z. Li
2024	A*	`conf`	NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics. NeurIPS Jingbo Zhou, Shaorong Chen, Jun Xia, Sizhe Liu, Tianze Ling, Wenjie Du, Yue Liu, Jianwei Yin, Stan Z. Li
2024	A*	`conf`	PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching. ICML Haitao Lin, Odin Zhang, Huifeng Zhao, Dejun Jiang, Lirong Wu, Zicheng Liu, Yufei Huang, Stan Z. Li
2024	J	`jnl`	PPFlow: Target-aware Peptide Design with Torsional Flow Matching. CoRR Haitao Lin, Odin Zhang, Huifeng Zhao, Dejun Jiang, Lirong Wu, Zicheng Liu, Yufei Huang, Stan Z. Li
2024	A*	`conf`	PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. AAAI Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li
2024	J	`jnl`	PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. CoRR Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li
2024	J	`jnl`	Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design. CoRR Jiangbin Zheng, Ge Wang, Han Zhang, Stan Z. Li
2024	J	`jnl`	Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions. CoRR Cheng Tan, Dongxin Lyu, Siyuan Li, Zhangyang Gao, Jingxuan Wei, Siqi Ma, Zicheng Liu, Stan Z. Li
2024	A*	`conf`	PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation. NeurIPS Chenrui Duan, Zelin Zang, Siyuan Li, Yongjie Xu, Stan Z. Li
2024	J	`jnl`	PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation. CoRR Chenrui Duan, Zelin Zang, Siyuan Li, Yongjie Xu, Stan Z. Li
2024	A	`conf`	Progressive Multi-Modality Learning for Inverse Protein Folding. ICME Jiangbin Zheng, Stan Z. Li
2024	A*	`conf`	ProtGO: Function-Guided Protein Modeling for Unified Representation Learning. NeurIPS Bozhen Hu, Cheng Tan, Yongjie Xu, Zhangyang Gao, Jun Xia, Lirong Wu, Stan Z. Li
2024	A*	`conf`	Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction. AAAI Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li
2024	A*	`conf`	RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design. ICLR Cheng Tan, Yijie Zhang, Zhangyang Gao, Bozhen Hu, Siyuan Li, Zicheng Liu, Stan Z. Li
2024	A*	`conf`	Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge. ICML Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li
2024	J	`jnl`	Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge. CoRR Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li
2024	J	`jnl`	Retrieval Meets Reasoning: Even High-school Textbook Knowledge Benefits Multimodal Reasoning. CoRR Cheng Tan, Jingxuan Wei, Linzhuang Sun, Zhangyang Gao, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li
2024	J	`jnl`	Revisiting Marr in Face: The Building of 2D-2.5D-3D Representations in Deep Neural Networks. CoRR Xiangyu Zhu, Chang Yu, Jiankuo Zhao, Zhaoxiang Zhang, Stan Z. Li, Zhen Lei
2024	J	`jnl`	SSPA: Split-and-Synthesize Prompting with Gated Alignments for Multi-Label Image Recognition. CoRR Hao Tan, Zichang Tan, Jun Li, Jun Wan, Zhen Lei, Stan Z. Li
2024	A*	`conf`	SemiReward: A General Reward Model for Semi-supervised Learning. ICLR Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z. Li
2024	A*	`conf`	Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences. ICML Zicheng Liu, Siyuan Li, Li Wang, Zedong Wang, Yunfan Liu, Stan Z. Li
2024	J	`jnl`	Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences. CoRR Zicheng Liu, Siyuan Li, Li Wang, Zedong Wang, Yunfan Liu, Stan Z. Li
2024	A*	`conf`	Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces. ICML Fang Wu, Stan Z. Li
2024	J	`jnl`	Surveillance Face Anti-Spoofing. IEEE Trans. Inf. Forensics Secur. Hao Fang, Ajian Liu, Jun Wan, Sergio Escalera, Chenxu Zhao, Xu Zhang, Stan Z. Li, Zhen Lei
2024	J	`jnl`	Switch EMA: A Free Lunch for Better Flatness and Sharpness. CoRR Siyuan Li, Zicheng Liu, Juanxi Tian, Ge Wang, Zedong Wang, Weiyang Jin, Di Wu, Cheng Tan, Tao Lin, Yang Liu, Baigui Sun, Stan Z. Li
2024	A	`conf`	Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation. CIKM Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Stan Z. Li
2024	J	`jnl`	Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation. CoRR Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Stan Z. Li
2024	J	`jnl`	The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges. CoRR Sitao Luan, Chenqing Hua, Qincheng Lu, Liheng Ma, Lirong Wu, Xinyu Wang, Minkai Xu, Xiao-Wen Chang, Doina Precup, Rex Ying, Stan Z. Li, Jian Tang, Guy Wolf, Stefanie Jegelka
2024	A*	`conf`	UniIF: Unified Molecule Inverse Folding. NeurIPS Zhangyang Gao, Jue Wang, Cheng Tan, Lirong Wu, Yufei Huang, Siyuan Li, Zhirui Ye, Stan Z. Li
2024	J	`jnl`	UniIF: Unified Molecule Inverse Folding. CoRR Zhangyang Gao, Jue Wang, Cheng Tan, Lirong Wu, Yufei Huang, Siyuan Li, Zhirui Ye, Stan Z. Li
2024	J	`jnl`	Unveiling the Backbone-Optimizer Coupling Bias in Visual Representation Learning. CoRR Siyuan Li, Juanxi Tian, Zedong Wang, Luyuan Zhang, Zicheng Liu, Weiyang Jin, Yang Liu, Baigui Sun, Stan Z. Li
2024	A*	`conf`	VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling. ICML Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li
2024	J	`jnl`	VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling. CoRR Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li
2024	A*	`conf`	Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations. AAAI Xuesong Nie, Yunfeng Yan, Siyuan Li, Cheng Tan, Xi Chen, Haoyuan Jin, Zhihang Zhu, Stan Z. Li, Donglian Qi
2023	A*	`conf`	A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design. NeurIPS Fang Wu, Stan Z. Li
2023	J	`jnl`	A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design. CoRR Fang Wu, Stan Z. Li
2023	J	`jnl`	A Survey on Protein Representation Learning: Retrospect and Prospect. CoRR Lirong Wu, Yufei Huang, Haitao Lin, Stan Z. Li
2023	A*	`conf`	A Systematic Survey of Chemical Pre-trained Models. IJCAI Jun Xia, Yanqiao Zhu, Yuanqi Du, Stan Z. Li
2023	A*	`conf`	Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. ICML Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z. Li
2023	J	`jnl`	Beyond 3DMM: Learning to Capture High-Fidelity 3D Face Shape. IEEE Trans. Pattern Anal. Mach. Intell. Xiangyu Zhu, Chang Yu, Di Huang, Zhen Lei, Hao Wang, Stan Z. Li
2023	A*	`conf`	Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier. ICCV Zelin Zang, Lei Shang, Senqiao Yang, Fei Wang, Baigui Sun, Xuansong Xie, Stan Z. Li
2023	J	`jnl`	Boosting Unsupervised Contrastive Learning Using Diffusion-Based Data Augmentation From Scratch. CoRR Zelin Zang, Hao Luo, Kai Wang, Panpan Zhang, Fan Wang, Stan Z. Li, Yang You
2023	J	`jnl`	Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training. CoRR Cheng Tan, Jingxuan Wei, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Xihong Yang, Stan Z. Li
2023	A*	`conf`	CONVERT: Contrastive Graph Clustering with Reliable Augmentation. ACM Multimedia Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu
2023	J	`jnl`	CONVERT: Contrastive Graph Clustering with Reliable Augmentation. CoRR Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu
2023	A*	`conf`	CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment. CVPR Jiangbin Zheng, Yile Wang, Cheng Tan, Siyuan Li, Ge Wang, Jun Xia, Yidong Chen, Stan Z. Li
2023	J	`jnl`	CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment. CoRR Jiangbin Zheng, Yile Wang, Cheng Tan, Siyuan Li, Ge Wang, Jun Xia, Yidong Chen, Stan Z. Li
2023	J	`jnl`	Camera-aware representation learning for person re-identification. Neurocomputing Jinlin Wu, Yuxin Yang, Zhen Lei, Yang Yang, Shukai Chen, Stan Z. Li
2023	J	`jnl`	Co-modeling the Sequential and Graphical Routes for Peptide Representation Learning. CoRR Zihan Liu, Ge Wang, Jiaqi Wang, Jiangbin Zheng, Stan Z. Li
2023	—	`conf`	Co-supervised Pre-training of Pocket and Ligand. ECML/PKDD (1) Zhangyang Gao, Cheng Tan, Jun Xia, Stan Z. Li
2023	J	`jnl`	Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer. CoRR Cheng Tan, Zhangyang Gao, Stan Z. Li
2023	J	`jnl`	Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy. CoRR Yufei Huang, Lirong Wu, Haitao Lin, Jiangbin Zheng, Ge Wang, Stan Z. Li
2023	J	`jnl`	Deep Clustering and Visualization for End-to-End High-Dimensional Data Analysis. IEEE Trans. Neural Networks Learn. Syst. Lirong Wu, Lifan Yuan, Guojiang Zhao, Haitao Lin, Stan Z. Li
2023	Misc	`conf`	Deep Manifold Graph Auto-Encoder For Attributed Graph Embedding. ICASSP Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li
2023	A*	`conf`	DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations. AAAI Fang Wu, Stan Z. Li
2023	J	`jnl`	DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraints. CoRR Zhangyang Gao, Cheng Tan, Stan Z. Li
2023	A*	`conf`	Dink-Net: Neural Clustering on Large Graphs. ICML Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li
2023	J	`jnl`	Dink-Net: Neural Clustering on Large Graphs. CoRR Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li
2023	J	`jnl`	Efficient Prediction of Peptide Self-assembly through Sequential and Graphical Encoding. CoRR Zihan Liu, Jiaqi Wang, Yun Luo, Shuang Zhao, Wenbin Li, Stan Z. Li
2023	J	`jnl`	Efficient prediction of peptide self-assembly through sequential and graphical encoding. Briefings Bioinform. Zihan Liu, Jiaqi Wang, Yun Luo, Shuang Zhao, Wenbin Li, Stan Z. Li
2023	J	`jnl`	Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models. CoRR Yijie Zhang, Zhangyang Gao, Cheng Tan, Stan Z. Li
2023	J	`jnl`	Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive Framework. CoRR Jingxuan Wei, Cheng Tan, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li
2023	J	`jnl`	Explaining Graph Neural Networks via Non-parametric Subgraph Matching. CoRR Fang Wu, Siyuan Li, Lirong Wu, Dragomir Radev, Yinghui Jiang, Xurui Jin, Zhangming Niu, Stan Z. Li
2023	A*	`conf`	Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework. AAAI Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li
2023	J	`jnl`	Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework. CoRR Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li
2023	J	`jnl`	FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing. CoRR Ajian Liu, Zichang Tan, Zitong Yu, Chenxu Zhao, Jun Wan, Yanyan Liang, Zhen Lei, Du Zhang, Stan Z. Li, Guodong Guo
2023	J	`jnl`	FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing. IEEE Trans. Inf. Forensics Secur. Ajian Liu, Zichang Tan, Zitong Yu, Chenxu Zhao, Jun Wan, Yanyan Liang, Zhen Lei, Du Zhang, Stan Z. Li, Guodong Guo
2023	J	`jnl`	Face Forgery Detection by 3D Decomposition and Composition Search. IEEE Trans. Pattern Anal. Mach. Intell. Xiangyu Zhu, Hongyan Fei, Bin Zhang, Tianshuo Zhang, Xiaoyu Zhang, Stan Z. Li, Zhen Lei
2023	A*	`conf`	Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration. NeurIPS Haitao Lin, Yufei Huang, Odin Zhang, Yunfan Liu, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li
2023	J	`jnl`	Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration. CoRR Haitao Lin, Yufei Huang, Haotian Zhang, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li
2023	J	`jnl`	General Point Model with Autoencoding and Autoregressive. CoRR Zhe Li, Zhangyang Gao, Cheng Tan, Stan Z. Li, Laurence T. Yang
2023	J	`jnl`	Generative Tertiary Structure-based RNA Design. CoRR Cheng Tan, Zhangyang Gao, Stan Z. Li
2023	Misc	`conf`	Global-Context Aware Generative Protein Design. ICASSP Cheng Tan, Zhangyang Gao, Jun Xia, Bozhen Hu, Stan Z. Li
2023	A*	`conf`	Harnessing Hard Mixed Samples with Decoupled Regularizer. NeurIPS Zicheng Liu, Siyuan Li, Ge Wang, Lirong Wu, Cheng Tan, Stan Z. Li
2023	A*	`conf`	High-dimensional Clustering onto Hamiltonian Cycle. ICML Tianyi Huang, Shenghui Cheng, Stan Z. Li, Zhengjun Zhang
2023	J	`jnl`	High-dimensional Clustering onto Hamiltonian Cycle. CoRR Tianyi Huang, Shenghui Cheng, Stan Z. Li, Zhengjun Zhang
2023	A*	`conf`	Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions. WWW Yun Luo, Zihan Liu, Stan Z. Li, Yue Zhang
2023	J	`jnl`	Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions. CoRR Yun Luo, Zihan Liu, Stan Z. Li, Yue Zhang
2023	J	`jnl`	Improving molecular representation learning with metric learning-enhanced optimal transport. Patterns Fang Wu, Nicolas Courty, Shuting Jin, Stan Z. Li
2023	J	`jnl`	InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems. CoRR Fang Wu, Huiling Qin, Siyuan Li, Stan Z. Li, Xianyuan Zhan, Jinbo Xu
2023	J	`jnl`	Knowledge-Design: Pushing the Limit of Protein Design via Knowledge Refinement. CoRR Zhangyang Gao, Cheng Tan, Stan Z. Li
2023	—	`conf`	Learning to Augment Graph Structure for both Homophily and Heterophily Graphs. ECML/PKDD (3) Lirong Wu, Cheng Tan, Zihan Liu, Zhangyang Gao, Haitao Lin, Stan Z. Li
2023	J	`jnl`	Lightweight Contrastive Protein Structure-Sequence Transformation. CoRR Jiangbin Zheng, Ge Wang, Yufei Huang, Bozhen Hu, Siyuan Li, Cheng Tan, Xinwen Fan, Stan Z. Li
2023	J	`jnl`	MMDesign: Multi-Modality Transfer Learning for Generative Protein Design. CoRR Jiangbin Zheng, Siyuan Li, Yufei Huang, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jun Xia, Ge Wang, Stan Z. Li
2023	J	`jnl`	MVP-Human Dataset for 3-D Clothed Human Avatar Reconstruction From Multiple Frames. IEEE Trans. Biom. Behav. Identity Sci. Xiangyu Zhu, Tingting Liao, Xiaomei Zhang, Jiangjing Lyu, Zhiwen Chen, Yunfeng Wang, Kan Guo, Qiong Cao, Stan Z. Li, Zhen Lei
2023	A*	`conf`	Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules. ICLR Jun Xia, Chengshuai Zhao, Bozhen Hu, Zhangyang Gao, Cheng Tan, Yue Liu, Siyuan Li, Stan Z. Li
2023	A*	`conf`	Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs. AAAI Fang Wu, Dragomir Radev, Stan Z. Li
2023	J	`jnl`	MotifRetro: Exploring the Combinability-Consistency Trade-offs in retrosynthesis via Dynamic Motif Editing. CoRR Zhangyang Gao, Xingran Chen, Cheng Tan, Stan Z. Li
2023	A*	`conf`	OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning. NeurIPS Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li
2023	J	`jnl`	OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning. CoRR Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li
2023	A*	`conf`	PiFold: Toward effective and efficient protein inverse folding. ICLR Zhangyang Gao, Cheng Tan, Stan Z. Li
2023	J	`jnl`	PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix Embedding. CoRR Zhangyang Gao, Yuqi Hu, Cheng Tan, Stan Z. Li
2023	J	`jnl`	Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction. CoRR Yufei Huang, Siyuan Li, Jin Su, Lirong Wu, Odin Zhang, Haitao Lin, Jingqi Qi, Zihan Liu, Zhangyang Gao, Yuyang Liu, Jiangbin Zheng, Stan Z. Li
2023	A*	`conf`	ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics. NeurIPS Zhangyang Gao, Cheng Tan, Yijie Zhang, Xingran Chen, Lirong Wu, Stan Z. Li
2023	A*	`conf`	Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. ICML Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li
2023	J	`jnl`	Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. CoRR Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li
2023	J	`jnl`	Random-Walk Metaball-Imaging Discrete Element Lattice Boltzmann Method for 3D Solute Transport in Fluid-Particle Systems with Complex Granular Morphologies. CoRR Yifeng Zhao, Pei Zhang, Stan Z. Li, Sergio Andres Galindo-Torres
2023	A*	`conf`	Reinforcement Graph Clustering with Unknown Cluster Number. ACM Multimedia Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li
2023	J	`jnl`	Reinforcement Graph Clustering with Unknown Cluster Number. CoRR Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li
2023	A*	`conf`	Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching. ICML Fang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z. Li
2023	J	`jnl`	Revisiting the Temporal Modeling in Spatio-Temporal Predictive Learning under A Unified View. CoRR Cheng Tan, Jue Wang, Zhangyang Gao, Siyuan Li, Lirong Wu, Jun Xia, Stan Z. Li
2023	J	`jnl`	Roadmap towards Meta-being. CoRR Tianyi Huang, Stan Z. Li, Xin Yuan, Shenghui Cheng
2023	J	`jnl`	Segment Anything in Defect Detection. CoRR Bozhen Hu, Bin Gao, Cheng Tan, Tongle Wu, Stan Z. Li
2023	J	`jnl`	Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive. IEEE Trans. Knowl. Data Eng. Lirong Wu, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li
2023	J	`jnl`	SemiReward: A General Reward Model for Semi-supervised Learning. CoRR Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z. Li
2023	J	`jnl`	Surveillance Face Anti-spoofing. CoRR Hao Fang, Ajian Liu, Jun Wan, Sergio Escalera, Chenxu Zhao, Xu Zhang, Stan Z. Li, Zhen Lei
2023	—	`conf`	Target-Aware Molecular Graph Generation. ECML/PKDD (6) Cheng Tan, Zhangyang Gao, Stan Z. Li
2023	A*	`conf`	Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. CVPR Cheng Tan, Zhangyang Gao, Lirong Wu, Yongjie Xu, Jun Xia, Siyuan Li, Stan Z. Li
2023	J	`jnl`	Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias. CoRR Zihan Liu, Yun Luo, Lirong Wu, Zicheng Liu, Stan Z. Li
2023	J	`jnl`	UDRN: Unified Dimensional Reduction Neural Network for feature selection and feature projection. Neural Networks Zelin Zang, Yongjie Xu, Linyan Lu, Yulan Geng, Senqiao Yang, Stan Z. Li
2023	A*	`conf`	Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions. NeurIPS Jun Xia, Lecheng Zhang, Xiao Zhu, Yue Liu, Zhangyang Gao, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Siyuan Li, Stan Z. Li
2023	J	`jnl`	VQPL: Vector Quantized Protein Language. CoRR Zhangyang Gao, Cheng Tan, Stan Z. Li
2023	J	`jnl`	Why Deep Models Often cannot Beat Non-deep Counterparts on Molecular Property Prediction? CoRR Jun Xia, Lecheng Zhang, Xiao Zhu, Stan Z. Li
2023	Misc	`conf`	Wordreg: Mitigating the Gap between Training and Inference with Worst-Case Drop Regularization. ICASSP Jun Xia, Ge Wang, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Yongjie Xu, Stan Z. Li
2022	J	`jnl`	A Score-based Geometric Model for Molecular Dynamics Simulations. CoRR Fang Wu, Qiang Zhang, Xurui Jin, Yinghui Jiang, Stan Z. Li
2022	J	`jnl`	A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application. CoRR Yue Liu, Jun Xia, Sihang Zhou, Siwei Wang, Xifeng Guo, Xihong Yang, Ke Liang, Wenxuan Tu, Stan Z. Li, Xinwang Liu
2022	J	`jnl`	A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications. CoRR Jun Xia, Yanqiao Zhu, Yuanqi Du, Stan Z. Li
2022	J	`jnl`	A Survey on Generative Diffusion Model. CoRR Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li
2022	J	`jnl`	A Systematic Survey of Molecular Pre-trained Models. CoRR Jun Xia, Yanqiao Zhu, Yuanqi Du, Yue Liu, Stan Z. Li
2022	J	`jnl`	AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB. CoRR Zhangyang Gao, Cheng Tan, Stan Z. Li
2022	J	`jnl`	Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. CoRR Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li
2022	A	`conf`	Are Gradients on Graph Structure Reliable in Gray-box Attacks? CIKM Zihan Liu, Yun Luo, Lirong Wu, Siyuan Li, Zicheng Liu, Stan Z. Li
2022	J	`jnl`	Are Gradients on Graph Structure Reliable in Gray-box Attacks? CoRR Zihan Liu, Yun Luo, Lirong Wu, Siyuan Li, Zicheng Liu, Stan Z. Li
2022	—	`conf`	AutoMix: Unveiling the Power of Mixup for Stronger Classifiers. ECCV (24) Zicheng Liu, Siyuan Li, Di Wu, Zihan Liu, Zhiyuan Chen, Lirong Wu, Stan Z. Li
2022	J	`jnl`	Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation. CoRR Lirong Wu, Yufei Huang, Haitao Lin, Zicheng Liu, Tianyu Fan, Stan Z. Li
2022	J	`jnl`	Beyond 3DMM: Learning to Capture High-fidelity 3D Face Shape. CoRR Xiangyu Zhu, Chang Yu, Di Huang, Zhen Lei, Hao Wang, Stan Z. Li
2022	—	`conf`	CAViT: Contextual Alignment Vision Transformer for Video Object Re-identification. ECCV (14) Jinlin Wu, Lingxiao He, Wu Liu, Yang Yang, Zhen Lei, Tao Mei, Stan Z. Li
2022	J	`jnl`	ChaLearn Looking at People: IsoGD and ConGD Large-Scale RGB-D Gesture Recognition. IEEE Trans. Cybern. Jun Wan, Chi Lin, Longyin Wen, Yunan Li, Qiguang Miao, Sergio Escalera, Gholamreza Anbarjafari, Isabelle Guyon, Guodong Guo, Stan Z. Li
2022	J	`jnl`	CoSP: Co-supervised pretraining of pocket and ligand. CoRR Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li
2022	A*	`conf`	Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting. AAAI Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li
2022	J	`jnl`	Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection. IEEE Trans. Inf. Forensics Secur. Ajian Liu, Chenxu Zhao, Zitong Yu, Jun Wan, Anyang Su, Xing Liu, Zichang Tan, Sergio Escalera, Junliang Xing, Yanyan Liang, Guodong Guo, Zhen Lei, Stan Z. Li, Du Zhang
2022	J	`jnl`	Cross-Batch Hard Example Mining With Pseudo Large Batch for ID vs. Spot Face Recognition. IEEE Trans. Image Process. Zichang Tan, Ajian Liu, Jun Wan, Hao Li, Zhen Lei, Guodong Guo, Stan Z. Li
2022	—	`conf`	DLME: Deep Local-Flatness Manifold Embedding. ECCV (21) Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li
2022	J	`jnl`	DLME: Deep Local-flatness Manifold Embedding. CoRR Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li
2022	J	`jnl`	Decoupled Mixup for Data-efficient Learning. CoRR Zicheng Liu, Siyuan Li, Ge Wang, Cheng Tan, Lirong Wu, Stan Z. Li
2022	J	`jnl`	Deep manifold embedding of attributed graphs. Neurocomputing Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li
2022	J	`jnl`	DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding. CoRR Haitao Lin, Yufei Huang, Meng Liu, Xuanjing Li, Shuiwang Ji, Stan Z. Li
2022	J	`jnl`	Discovering the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions. CoRR Fang Wu, Siyuan Li, Lirong Wu, Dragomir R. Radev, Qiang Zhang, Stan Z. Li
2022	J	`jnl`	EVNet: An Explainable Deep Network for Dimension Reduction. CoRR Zelin Zang, Shenghui Cheng, Linyan Lu, Hanchen Xia, Liangyu Li, Yaoting Sun, Yongjie Xu, Lei Shang, Baigui Sun, Stan Z. Li
2022	J	`jnl`	Efficient Multi-order Gated Aggregation Network. CoRR Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li
2022	B	`conf`	Exploiting Sentiment and Common Sense for Zero-shot Stance Detection. COLING Yun Luo, Zihan Liu, Yuefeng Shi, Stan Z. Li, Yue Zhang
2022	J	`jnl`	Exploring Generative Neural Temporal Point Process. CoRR Haitao Lin, Lirong Wu, Guojiang Zhao, Pai Liu, Stan Z. Li
2022	J	`jnl`	Exploring Generative Neural Temporal Point Process. Trans. Mach. Learn. Res. Haitao Lin, Lirong Wu, Guojiang Zhao, Pai Liu, Stan Z. Li
2022	A	`conf`	Exploring Localization for Self-supervised Fine-grained Contrastive Learning. BMVC Di Wu, Siyuan Li, Zelin Zang, Stan Z. Li
2022	J	`jnl`	Federated Learning for Inference at Anytime and Anywhere. CoRR Zicheng Liu, Da Li, Javier Fernández-Marqués, Stefanos Laskaridis, Yan Gao, Lukasz Dudziak, Stan Z. Li, Shell Xu Hu, Timothy M. Hospedales
2022	A	`conf`	Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation. WACV Lirong Wu, Zicheng Liu, Jun Xia, Zelin Zang, Siyuan Li, Stan Z. Li
2022	J	`jnl`	Generative De Novo Protein Design with Global Context. CoRR Cheng Tan, Zhangyang Gao, Jun Xia, Stan Z. Li
2022	J	`jnl`	Geo-indistinguishable Mechanisms for Spatial Crowdsourcing via Multi-Objective Evolutionary Optimization. CoRR Shun Zhang, Tao Zhang, Stan Z. Li, Shenghui Cheng
2022	—	`conf`	GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction. ECML/PKDD (4) Lirong Wu, Jun Xia, Zhangyang Gao, Haitao Lin, Cheng Tan, Stan Z. Li
2022	A*	`conf`	Hyperspherical Consistency Regularization. CVPR Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li
2022	J	`jnl`	Hyperspherical Consistency Regularization. CoRR Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li
2022	A*	`conf`	Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks. NeurIPS Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li
2022	J	`jnl`	Leveraging Graph-based Cross-modal Information Fusion for Neural Sign Language Translation. CoRR Jiangbin Zheng, Siyuan Li, Cheng Tan, Chong Wu, Yidong Chen, Stan Z. Li
2022	J	`jnl`	MVP-Human Dataset for 3D Human Avatar Reconstruction from Unconstrained Frames. CoRR Xiangyu Zhu, Tingting Liao, Jiangjing Lyu, Xiang Yan, Yunfeng Wang, Kan Guo, Qiong Cao, Stan Z. Li, Zhen Lei
2022	J	`jnl`	Metaball-Imaging Discrete Element Lattice Boltzmann Method for fluid-particle system of complex morphologies with settling case study. CoRR Yifeng Zhao, Pei Zhang, Liang Lei, Sergio Andres Galindo-Torres, Stan Z. Li
2022	J	`jnl`	Multi-level disentanglement graph neural network. Neural Comput. Appl. Lirong Wu, Haitao Lin, Jun Xia, Cheng Tan, Stan Z. Li
2022	J	`jnl`	Non-equispaced Fourier Neural Solvers for PDEs. CoRR Haitao Lin, Lirong Wu, Yongjie Xu, Yufei Huang, Siyuan Li, Guojiang Zhao, Stan Z. Li
2022	Misc	`conf`	OT Cleaner: Label Correction as Optimal Transport. ICASSP Jun Xia, Cheng Tan, Lirong Wu, Yongjie Xu, Stan Z. Li
2022	J	`jnl`	OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning. CoRR Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Stan Z. Li
2022	J	`jnl`	PiFold: Toward effective and efficient protein inverse folding. CoRR Zhangyang Gao, Cheng Tan, Stan Z. Li
2022	J	`jnl`	Pre-training of Deep Protein Models with Molecular Dynamics Simulations for Drug Binding. CoRR Fang Wu, Qiang Zhang, Dragomir R. Radev, Yuyang Wang, Xurui Jin, Yinghui Jiang, Zhangming Niu, Stan Z. Li
2022	A*	`conf`	ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning. ICML Jun Xia, Lirong Wu, Ge Wang, Jintao Chen, Stan Z. Li
2022	J	`jnl`	Protein Language Models and Structure Prediction: Connection and Progression. CoRR Bozhen Hu, Jun Xia, Jiangbin Zheng, Cheng Tan, Yufei Huang, Yongjie Xu, Stan Z. Li
2022	J	`jnl`	RFold: Towards Simple yet Effective RNA Secondary Structure Prediction. CoRR Cheng Tan, Zhangyang Gao, Stan Z. Li
2022	J	`jnl`	STONet: A Neural-Operator-Driven Spatio-temporal Network. CoRR Haitao Lin, Guojiang Zhao, Lirong Wu, Stan Z. Li
2022	J	`jnl`	SemiRetro: Semi-template framework boosts deep retrosynthesis prediction. CoRR Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li
2022	A*	`conf`	SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation. WWW Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li
2022	J	`jnl`	SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation. CoRR Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li
2022	A*	`conf`	SimVP: Simpler yet Better Video Prediction. CVPR Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li
2022	J	`jnl`	SimVP: Simpler yet Better Video Prediction. CoRR Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li
2022	J	`jnl`	SimVP: Towards Simple yet Powerful Spatiotemporal Predictive Learning. CoRR Cheng Tan, Zhangyang Gao, Stan Z. Li
2022	A	`conf`	Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks. WSDM Zihan Liu, Yun Luo, Zelin Zang, Stan Z. Li
2022	J	`jnl`	Target-aware Molecular Graph Generation. CoRR Cheng Tan, Zhangyang Gao, Stan Z. Li
2022	J	`jnl`	Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification. CoRR Lirong Wu, Jun Xia, Haitao Lin, Zhangyang Gao, Zicheng Liu, Guojiang Zhao, Stan Z. Li
2022	J	`jnl`	Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. CoRR Cheng Tan, Zhangyang Gao, Siyuan Li, Yongjie Xu, Stan Z. Li
2022	A*	`conf`	Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias. NeurIPS Zihan Liu, Yun Luo, Lirong Wu, Zicheng Liu, Stan Z. Li
2022	J	`jnl`	UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection. CoRR Zelin Zang, Yongjie Xu, Yulan Geng, Siyuan Li, Stan Z. Li
2022	—	`conf`	Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. ACL (1) Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li
2022	J	`jnl`	Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. CoRR Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li
2022	J	`jnl`	What Does the Gradient Tell When Attacking the Graph Structure. CoRR Zihan Liu, Ge Wang, Yun Luo, Stan Z. Li
2021	—	`conf`	3D Context-Aware PIFu for Clothed Human Reconstruction. CCBR Tingting Liao, Xiangyu Zhu, Zhen Lei, Stan Z. Li
2021	J	`jnl`	A Data-driven feature selection and machine-learning model benchmark for the prediction of longitudinal dispersion coefficient. CoRR Yifeng Zhao, Pei Zhang, Sergio Andres Galindo-Torres, Stan Z. Li
2021	J	`jnl`	Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment. CoRR Di Wu, Siyuan Li, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li
2021	J	`jnl`	An interpretable prediction model for longitudinal dispersion coefficient in natural streams based on evolutionary symbolic regression network. CoRR Yifeng Zhao, Zicheng Liu, Pei Zhang, Stan Z. Li, Sergio Andres Galindo-Torres
2021	J	`jnl`	AutoMix: Unveiling the Power of Mixup. CoRR Zicheng Liu, Siyuan Li, Di Wu, Zhiyuan Chen, Lirong Wu, Jianzhu Guo, Stan Z. Li
2021	J	`jnl`	Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup. CoRR Siyuan Li, Zicheng Liu, Di Wu, Zihan Liu, Stan Z. Li
2021	A	`conf`	CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing. WACV Ajian Liu, Zichang Tan, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z. Li
2021	J	`jnl`	Cascaded Split-and-Aggregate Learning with Feature Recombination for Pedestrian Attribute Recognition. Int. J. Comput. Vis. Yang Yang, Zichang Tan, Prayag Tiwari, Hari Mohan Pandey, Jun Wan, Zhen Lei, Guodong Guo, Stan Z. Li
2021	A*	`conf`	Co-learning: Learning from Noisy Labels with Self-supervision. ACM Multimedia Cheng Tan, Jun Xia, Lirong Wu, Stan Z. Li
2021	J	`jnl`	Co-learning: Learning from Noisy Labels with Self-supervision. CoRR Cheng Tan, Jun Xia, Lirong Wu, Stan Z. Li
2021	J	`jnl`	Conditional Local Filters with Explainers for Spatio-Temporal Forecasting. CoRR Haitao Lin, Zhangyang Gao, Lirong Wu, Stan Z. Li
2021	J	`jnl`	Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection. CoRR Ajian Liu, Chenxu Zhao, Zitong Yu, Jun Wan, Anyang Su, Xing Liu, Zichang Tan, Sergio Escalera, Junliang Xing, Yanyan Liang, Guodong Guo, Zhen Lei, Stan Z. Li, Du Zhang
2021	J	`jnl`	Cross-ethnicity face anti-spoofing recognition challenge: A review. IET Biom. Ajian Liu, Xuan Li, Jun Wan, Yanyan Liang, Sergio Escalera, Hugo Jair Escalante, Meysam Madadi, Yi Jin, Zhuoyuan Wu, Xiaogang Yu, Zichang Tan, Qi Yuan, RuiKun Yang, Benjia Zhou, Guodong Guo, Stan Z. Li
2021	J	`jnl`	Debiased Graph Contrastive Learning. CoRR Jun Xia, Lirong Wu, Jintao Chen, Ge Wang, Stan Z. Li
2021	J	`jnl`	Decomposed Meta Batch Normalization for Fast Domain Adaptation in Face Recognition. IEEE Trans. Inf. Forensics Secur. Jianzhu Guo, Xiangyu Zhu, Zhen Lei, Stan Z. Li
2021	J	`jnl`	Extensive Deep Temporal Point Process. CoRR Haitao Lin, Cheng Tan, Lirong Wu, Zhangyang Gao, Stan Z. Li
2021	J	`jnl`	Face Anti-Spoofing via Adversarial Cross-Modality Translation. IEEE Trans. Inf. Forensics Secur. Ajian Liu, Zichang Tan, Jun Wan, Yanyan Liang, Zhen Lei, Guodong Guo, Stan Z. Li
2021	A*	`conf`	Face Forgery Detection by 3D Decomposition. CVPR Xiangyu Zhu, Hao Wang, Hongyan Fei, Zhen Lei, Stan Z. Li
2021	J	`jnl`	Fast Adapting Without Forgetting for Face Recognition. IEEE Trans. Circuits Syst. Video Technol. Hao Liu, Xiangyu Zhu, Zhen Lei, Dong Cao, Stan Z. Li
2021	J	`jnl`	GenURL: A General Framework for Unsupervised Representation Learning. CoRR Siyuan Li, Zelin Zang, Di Wu, Zhiyuan Chen, Stan Z. Li
2021	J	`jnl`	Git: Clustering Based on Graph of Intensity Topology. CoRR Zhangyang Gao, Haitao Lin, Cheng Tan, Lirong Wu, Stan Z. Li
2021	J	`jnl`	GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction. CoRR Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li
2021	—	`conf`	Invertible Manifold Learning for Dimension Reduction. ECML/PKDD (3) Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li
2021	J	`jnl`	NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofing. IEEE Trans. Pattern Anal. Mach. Intell. Zitong Yu, Jun Wan, Yunxiao Qin, Xiaobai Li, Stan Z. Li, Guoying Zhao
2021	J	`jnl`	RefineDet++: Single-Shot Refinement Neural Network for Object Detection. IEEE Trans. Circuits Syst. Video Technol. Shifeng Zhang, Longyin Wen, Zhen Lei, Stan Z. Li
2021	J	`jnl`	RefineFace: Refinement Neural Network for High Performance Face Detection. IEEE Trans. Pattern Anal. Mach. Intell. Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z. Li
2021	B	`conf`	SADet: Learning An Efficient and Accurate Pedestrian Detector. IJCB Chubin Zhuang, Zongzhao Li, Xiangyu Zhu, Zhen Lei, Stan Z. Li
2021	J	`jnl`	Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition. IEEE Trans. Image Process. Zitong Yu, Benjia Zhou, Jun Wan, Pichao Wang, Haoyu Chen, Xin Liu, Stan Z. Li, Guoying Zhao
2021	J	`jnl`	Self-supervised on Graphs: Contrastive, Generative, or Predictive. CoRR Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li
2021	J	`jnl`	Special Issue on Face Presentation Attack Detection. IEEE Trans. Biom. Behav. Identity Sci. Jun Wan, Sergio Escalera, Hugo Jair Escalante, Guodong Guo, Stan Z. Li
2021	J	`jnl`	Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks. CoRR Zihan Liu, Yun Luo, Zelin Zang, Stan Z. Li
2021	J	`jnl`	Unsupervised Deep Manifold Attributed Graph Embedding. CoRR Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li
2020	B	`conf`	3DPC-Net: 3D Point Cloud Network for Face Anti-spoofing. IJCB Xuan Li, Jun Wan, Yi Jin, Ajian Liu, Guodong Guo, Stan Z. Li
2020	J	`jnl`	Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study. IEEE Trans. Image Process. Wenhan Yang, Ye Yuan, Wenqi Ren, Jiaying Liu, Walter J. Scheirer, Zhangyang Wang, Taiheng Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Yuqiang Zheng, Yanyun Qu, Yuhong Xie, Liang Chen, Zhonghao Li, Chen Hong, Hao Jiang, Siyuan Yang, Yan Liu, Xiaochao Qu, Pengfei Wan, Shuai Zheng, Minhui Zhong, Taiyi Su, Lingzhi He, Yandong Guo, Yao Zhao, Zhenfeng Zhu, Jinxiu Liang, Jingwen Wang, Tianyi Chen, Yuhui Quan, Yong Xu, Bo Liu, Xin Liu, Qi Sun, Tingyu Lin, Xiaochuan Li, Feng Lu, Lin Gu, Shengdi Zhou, Cong Cao, Shifeng Zhang, Cheng Chi, Chubin Zhuang, Zhen Lei, Stan Z. Li, Shizheng Wang, Ruizhe Liu, Dong Yi, Zheming Zuo, Jianning Chi, Huan Wang, Kai Wang, Yixiu Liu, Xingyu Gao, Zhenyu Chen, Chang Guo, Yongzhou Li, Huicai Zhong, Jing Huang, Heng Guo, Jianfei Yang, Wenjuan Liao, Jiangang Yang, Liguo Zhou, Mingyue Feng, Likun Qin
2020	J	`jnl`	An end-to-end exemplar association for unsupervised person Re-identification. Neural Networks Jinlin Wu, Yang Yang, Zhen Lei, Jinqiao Wang, Stan Z. Li, Prayag Tiwari, Hari Mohan Pandey
2020	J	`jnl`	Attention-Based Two-Stream Convolutional Networks for Face Spoofing Detection. IEEE Trans. Inf. Forensics Secur. Haonan Chen, Guosheng Hu, Zhen Lei, Yaowu Chen, Neil Martin Robertson, Stan Z. Li
2020	—	`conf`	Beyond 3DMM Space: Towards Fine-Grained 3D Face Reconstruction. ECCV (8) Xiangyu Zhu, Fan Yang, Di Huang, Chang Yu, Hao Wang, Jianzhu Guo, Zhen Lei, Stan Z. Li
2020	A*	`conf`	Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection. CVPR Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, Stan Z. Li
2020	J	`jnl`	CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing. CoRR Ajian Liu, Zichang Tan, Xuan Li, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z. Li
2020	J	`jnl`	CASIA-SURF: A Large-Scale Multi-Modal Benchmark for Face Anti-Spoofing. IEEE Trans. Biom. Behav. Identity Sci. Shifeng Zhang, Ajian Liu, Jun Wan, Yanyan Liang, Guodong Guo, Sergio Escalera, Hugo Jair Escalante, Stan Z. Li
2020	J	`jnl`	Clustering Based on Graph of Density Topology. CoRR Zhangyang Gao, Haitao Lin, Stan Z. Li
2020	J	`jnl`	Consistent Representation Learning for High Dimensional Data Analysis. CoRR Stan Z. Li, Lirong Wu, Zelin Zang
2020	A*	`conf`	Context-Aware Attention Network for Image-Text Retrieval. CVPR Qi Zhang, Zhen Lei, Zhaoxiang Zhang, Stan Z. Li
2020	J	`jnl`	Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review. CoRR Ajian Liu, Xuan Li, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Meysam Madadi, Yi Jin, Zhuoyuan Wu, Xiaogang Yu, Zichang Tan, Qi Yuan, RuiKun Yang, Benjia Zhou, Guodong Guo, Stan Z. Li
2020	J	`jnl`	Deep Clustering and Representation Learning that Preserves Geometric Structures. CoRR Lirong Wu, Zicheng Liu, Zelin Zang, Jun Xia, Siyuan Li, Stan Z. Li
2020	J	`jnl`	Deep Manifold Computing and Visualization. CoRR Stan Z. Li, Zelin Zang, Lirong Wu
2020	J	`jnl`	Face Forgery Detection by 3D Decomposition. CoRR Xiangyu Zhu, Hao Wang, Hongyan Fei, Zhen Lei, Stan Z. Li
2020	J	`jnl`	Invertible Manifold Learning for Dimension Reduction. CoRR Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li
2020	A*	`conf`	Learning Meta Face Recognition in Unseen Domains. CVPR Jianzhu Guo, Xiangyu Zhu, Chenxu Zhao, Dong Cao, Zhen Lei, Stan Z. Li
2020	J	`jnl`	Learning Meta Face Recognition in Unseen Domains. CoRR Jianzhu Guo, Xiangyu Zhu, Chenxu Zhao, Dong Cao, Zhen Lei, Stan Z. Li
2020	J	`jnl`	LookHops: light multi-order convolution and pooling for graph classification. CoRR Zhangyang Gao, Haitao Lin, Stan Z. Li
2020	J	`jnl`	Markov-Lipschitz Deep Learning. CoRR Stan Z. Li, Zelin Zhang, Lirong Wu
2020	—	`book`	Multi-Modal Face Presentation Attack Detection Jun Wan, Guodong Guo, Sergio Escalera, Hugo Jair Escalante, Stan Z. Li
2020	J	`jnl`	NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofing. CoRR Zitong Yu, Jun Wan, Yunxiao Qin, Xiaobai Li, Stan Z. Li, Guoying Zhao
2020	B	`conf`	Neighborhood-Aware Attention Network for Semi-supervised Face Recognition. IJCNN Qi Zhang, Zhen Lei, Stan Z. Li
2020	J	`jnl`	Out-of-Distribution Detection for Reliable Face Recognition. IEEE Signal Process. Lett. Chang Yu, Xiangyu Zhu, Zhen Lei, Stan Z. Li
2020	A*	`conf`	PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes. AAAI Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou
2020	A*	`conf`	Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Networks. AAAI Zichang Tan, Yang Yang, Jun Wan, Guodong Guo, Stan Z. Li
2020	A*	`conf`	Relational Learning for Joint Head and Human Detection. AAAI Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou
2020	J	`jnl`	SADet: Learning An Efficient and Accurate Pedestrian Detector. CoRR Chubin Zhuang, Zhen Lei, Stan Z. Li
2020	J	`jnl`	Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition. CoRR Zitong Yu, Benjia Zhou, Jun Wan, Pichao Wang, Haoyu Chen, Xin Liu, Stan Z. Li, Guoying Zhao
2020	J	`jnl`	Task-Oriented Feature-Fused Network With Multivariate Dataset for Joint Face Analysis. IEEE Trans. Cybern. Xuxin Lin, Jun Wan, Yiliang Xie, Shifeng Zhang, Chi Lin, Yanyan Liang, Guodong Guo, Stan Z. Li
2020	—	`conf`	Towards Fast, Accurate and Stable 3D Dense Face Alignment. ECCV (19) Jianzhu Guo, Xiangyu Zhu, Yang Yang, Fan Yang, Zhen Lei, Stan Z. Li
2020	J	`jnl`	Towards Fast, Accurate and Stable 3D Dense Face Alignment. CoRR Jianzhu Guo, Xiangyu Zhu, Yang Yang, Fan Yang, Zhen Lei, Stan Z. Li
2020	J	`jnl`	WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild. IEEE Trans. Multim. Shifeng Zhang, Yiliang Xie, Jun Wan, Hansheng Xia, Stan Z. Li, Guodong Guo
2019	B	`conf`	3DMA: A Multi-modality 3D Mask Face Anti-spoofing Database. AVSS Jinchuan Xiao, Yinhang Tang, Jianzhu Guo, Yang Yang, Xiangyu Zhu, Zhen Lei, Stan Z. Li
2019	A*	`conf`	A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing. CVPR Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao, Jun Wan, Sergio Escalera, Hailin Shi, Zezheng Wang, Stan Z. Li
2019	A*	`conf`	AdaptiveFace: Adaptive Margin and Sampling for Face Recognition. CVPR Hao Liu, Xiangyu Zhu, Zhen Lei, Stan Z. Li
2019	J	`jnl`	Attention-Based Pedestrian Attribute Analysis. IEEE Trans. Image Process. Zichang Tan, Yang Yang, Jun Wan, Hanyuan Hang, Guodong Guo, Stan Z. Li
2019	J	`jnl`	Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection. CoRR Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, Stan Z. Li
2019	J	`jnl`	CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing. CoRR Shifeng Zhang, Ajian Liu, Jun Wan, Yanyan Liang, Guodong Guo, Sergio Escalera, Hugo Jair Escalante, Stan Z. Li
2019	J	`jnl`	ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition. CoRR Jun Wan, Chi Lin, Longyin Wen, Yunan Li, Qiguang Miao, Sergio Escalera, Gholamreza Anbarjafari, Isabelle Guyon, Guodong Guo, Stan Z. Li
2019	A	`conf`	Clustering and Dynamic Sampling Based Unsupervised Domain Adaptation for Person Re-Identification. ICME Jinlin Wu, Shengcai Liao, Zhen Lei, Xiaobo Wang, Yang Yang, Stan Z. Li
2019	A*	`conf`	Deeply-learned Hybrid Representations for Facial Age Estimation. IJCAI Zichang Tan, Yang Yang, Jun Wan, Guodong Guo, Stan Z. Li
2019	—	`conf`	FLDet: A CPU Real-time Joint Face and Landmark Detector. ICB Chubin Zhuang, Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Jinqiao Wang, Stan Z. Li
2019	J	`jnl`	Face Alignment in Full Pose Range: A 3D Total Solution. IEEE Trans. Pattern Anal. Mach. Intell. Xiangyu Zhu, Xiaoming Liu, Zhen Lei, Stan Z. Li
2019	J	`jnl`	Faceboxes: A CPU real-time and accurate unconstrained face detector. Neurocomputing Shifeng Zhang, Xiaobo Wang, Zhen Lei, Stan Z. Li
2019	—	`conf`	Global and Local Spatial-Attention Network for Isolated Gesture Recognition. CCBR Qi Yuan, Jun Wan, Chi Lin, Yunan Li, Qiguang Miao, Stan Z. Li, Lihua Wang, Yunxiang Lu
2019	J	`jnl`	Improved Selective Refinement Network for Face Detection. CoRR Shifeng Zhang, Rui Zhu, Xiaobo Wang, Hailin Shi, Tianyu Fu, Shuo Wang, Tao Mei, Stan Z. Li
2019	—	`conf`	Improving Face Anti-Spoofing by 3D Virtual Synthesis. ICB Jianzhu Guo, Xiangyu Zhu, Jinchuan Xiao, Zhen Lei, Genxun Wan, Stan Z. Li
2019	J	`jnl`	Improving Face Anti-Spoofing by 3D Virtual Synthesis. CoRR Jianzhu Guo, Xiangyu Zhu, Jinchuan Xiao, Zhen Lei, Genxun Wan, Stan Z. Li
2019	—	`conf`	In Defense of Color Names for Small-Scale Person Re-Identification. ICB Yang Yang, Zhen Lei, Jinqiao Wang, Stan Z. Li
2019	J	`jnl`	Large-Scale Bisample Learning on ID Versus Spot Face Recognition. Int. J. Comput. Vis. Xiangyu Zhu, Hao Liu, Zhen Lei, Hailin Shi, Fan Yang, Dong Yi, Guojun Qi, Stan Z. Li
2019	—	`conf`	Learning Lightweight Face Detector with Knowledge Distillation. ICB Haibo Jin, Shifeng Zhang, Xiangyu Zhu, Yinhang Tang, Zhen Lei, Stan Z. Li
2019	—	`conf`	Multi-Modal Face Anti-Spoofing Attack Detection Challenge at CVPR2019. CVPR Workshops Ajian Liu, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zichang Tan, Qi Yuan, Kai Wang, Chi Lin, Guodong Guo, Isabelle Guyon, Stan Z. Li
2019	J	`jnl`	Multi-view subspace clustering with intactness-aware similarity. Pattern Recognit. Xiaobo Wang, Zhen Lei, Xiaojie Guo, Changqing Zhang, Hailin Shi, Stan Z. Li
2019	J	`jnl`	PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes. CoRR Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou
2019	J	`jnl`	RefineFace: Refinement Neural Network for High Performance Face Detection. CoRR Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z. Li
2019	J	`jnl`	Region-Based Context Enhanced Network for Robust Multiple Face Alignment. IEEE Trans. Multim. Xuxin Lin, Yanyan Liang, Jun Wan, Chi Lin, Stan Z. Li
2019	J	`jnl`	Relational Learning for Joint Head and Human Detection. CoRR Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou
2019	A*	`conf`	Selective Refinement Network for High Performance Face Detection. AAAI Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou
2019	J	`jnl`	Single-Shot Scale-Aware Network for Real-Time Face Detection. Int. J. Comput. Vis. Shifeng Zhang, Longyin Wen, Hailin Shi, Zhen Lei, Siwei Lyu, Stan Z. Li
2019	J	`jnl`	Static and Dynamic Fusion for Multi-modal Cross-ethnicity Face Anti-spoofing. CoRR Ajian Liu, Zichang Tan, Xuan Li, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z. Li
2019	A*	`conf`	Unsupervised Graph Association for Person Re-Identification. ICCV Jinlin Wu, Hao Liu, Yang Yang, Zhen Lei, Shengcai Liao, Stan Z. Li
2019	J	`jnl`	WIDER Face and Pedestrian Challenge 2018: Methods and Results. CoRR Chen Change Loy, Dahua Lin, Wanli Ouyang, Yuanjun Xiong, Shuo Yang, Qingqiu Huang, Dongzhan Zhou, Wei Xia, Quanquan Li, Ping Luo, Junjie Yan, Jianfeng Wang, Zuoxin Li, Ye Yuan, Boxun Li, Shuai Shao, Gang Yu, Fangyun Wei, Xiang Ming, Dong Chen, Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z. Li, Hongkai Zhang, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen, Wu Liu, Boyan Zhou, Huaxiong Li, Peng Cheng, Tao Mei, Artem Kukharenko, Artem Vasenin, Nikolay Sergievskiy, Hua Yang, Liangqi Li, Qiling Xu, Yuan Hong, Lin Chen, Mingjun Sun, Yirong Mao, Shiying Luo, Yongjun Li, Ruiping Wang, Qiaokang Xie, Ziyang Wu, Lei Lu, Yiheng Liu, Wengang Zhou
2019	J	`jnl`	WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild. CoRR Shifeng Zhang, Yiliang Xie, Jun Wan, Hansheng Xia, Stan Z. Li, Guodong Guo
2018	J	`jnl`	A Unified Framework for Multi-Modal Isolated Gesture Recognition. ACM Trans. Multim. Comput. Commun. Appl. Jiali Duan, Jun Wan, Shuai Zhou, Xiaoyuan Guo, Stan Z. Li
2018	J	`jnl`	Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure. IEEE Trans. Cybern. Jun Wan, Zichang Tan, Zhen Lei, Guodong Guo, Stan Z. Li
2018	J	`jnl`	CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing. CoRR Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao, Jun Wan, Sergio Escalera, Hailin Shi, Zezheng Wang, Stan Z. Li
2018	A	`conf`	Co-Referenced Subspace Clustering. ICME Xiaobo Wang, Zhen Lei, Hailin Shi, Xiaojie Guo, Xiangyu Zhu, Stan Z. Li
2018	—	`conf`	De-Mark GAN: Removing Dense Watermark with Generative Adversarial Network. ICB Jinlin Wu, Hailin Shi, Shu Zhang, Zhen Lei, Yang Yang, Stan Z. Li
2018	A	`conf`	Deep Background Subtraction with Guided Learning. ICME Xuezhi Liang, Shengcai Liao, Xiaobo Wang, Wei Liu, Yuxuan Chen, Stan Z. Li
2018	J	`jnl`	Dependence-Aware Feature Coding for Person Re-Identification. IEEE Signal Process. Lett. Xiaobo Wang, Zhen Lei, Shengcai Liao, Xiaojie Guo, Yang Yang, Stan Z. Li
2018	J	`jnl`	Detecting Face with Densely Connected Face Proposal Network. Neurocomputing Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Xiaobo Wang, Hailin Shi, Stan Z. Li
2018	J	`jnl`	Efficient Group-n Encoding and Decoding for Facial Age Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Zichang Tan, Jun Wan, Zhen Lei, Ruicong Zhi, Guodong Guo, Stan Z. Li
2018	A*	`conf`	Ensemble Soft-Margin Softmax Loss for Image Classification. IJCAI Xiaobo Wang, Shifeng Zhang, Zhen Lei, Si Liu, Xiaojie Guo, Stan Z. Li
2018	J	`jnl`	Ensemble Soft-Margin Softmax Loss for Image Classification. CoRR Xiaobo Wang, Shifeng Zhang, Zhen Lei, Si Liu, Xiaojie Guo, Stan Z. Li
2018	J	`jnl`	Face Alignment in Full Pose Range: A 3D Total Solution. CoRR Xiangyu Zhu, Xiaoming Liu, Zhen Lei, Stan Z. Li
2018	—	`conf`	Face Synthesis for Eyeglass-Robust Face Recognition. CCBR Jianzhu Guo, Xiangyu Zhu, Zhen Lei, Stan Z. Li
2018	J	`jnl`	Face Synthesis for Eyeglass-Robust Face Recognition. CoRR Jianzhu Guo, Xiangyu Zhu, Zhen Lei, Stan Z. Li
2018	—	`conf`	Fine-Grained Multi-Attribute Adversarial Learning for Face Generation of Age, Gender and Ethnicity. ICB Lipeng Wan, Jun Wan, Yi Jin, Zichang Tan, Stan Z. Li
2018	J	`jnl`	Label Distribution-Based Facial Attractiveness Computation by Deep Residual Learning. IEEE Trans. Multim. Yangyu Fan, Shu Liu, Bo Li, Zhe Guo, Ashok Samal, Jun Wan, Stan Z. Li
2018	B	`conf`	Large-Scale Isolated Gesture Recognition Using a Refined Fused Model Based on Masked Res-C3D Network and Skeleton LSTM. FG Chi Lin, Jun Wan, Yanyan Liang, Stan Z. Li
2018	J	`jnl`	Large-scale Bisample Learning on ID vs. Spot Face Recognition. CoRR Xiangyu Zhu, Hao Liu, Zhen Lei, Hailin Shi, Fan Yang, Dong Yi, Stan Z. Li
2018	—	`conf`	Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd. ECCV (3) Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li
2018	J	`jnl`	Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd. CoRR Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li
2018	J	`jnl`	Selective Refinement Network for High Performance Face Detection. CoRR Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou
2018	—	`conf`	Single Shot Attention-Based Face Detector. CCBR Chubin Zhuang, Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Stan Z. Li
2018	A*	`conf`	Single-Shot Refinement Neural Network for Object Detection. CVPR Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li
2018	J	`jnl`	Trends and Controversies. IEEE Intell. Syst. Hugo Proença, Mark S. Nixon, Michele Nappi, Esam Ghaleb, Gökhan Özbulak, Hua Gao, Hazim Kemal Ekenel, Klemen Grm, Vitomir Struc, Hailin Shi, Xiangyu Zhu, Shengcai Liao, Zhen Lei, Stan Z. Li, Weronika Gutfeter, Andrzej Pacut, Joel Brogan, Walter J. Scheirer, Ester Gonzalez-Sosa, Rubén Vera-Rodríguez, Julian Fiérrez, Javier Ortega-Garcia, Daniel Riccio, Luigi De Maio
2017	J	`jnl`	Cross-Modality Face Recognition via Heterogeneous Joint Bayesian. IEEE Signal Process. Lett. Hailin Shi, Xiaobo Wang, Dong Yi, Zhen Lei, Xiangyu Zhu, Stan Z. Li
2017	J	`jnl`	Deep Person Re-Identification with Improved Embedding. CoRR Haibo Jin, Xiaobo Wang, Shengcai Liao, Stan Z. Li
2017	B	`conf`	Deep person re-identification with improved embedding and efficient training. IJCB Haibo Jin, Xiaobo Wang, Shengcai Liao, Stan Z. Li
2017	—	`conf`	Detecting Face with Densely Connected Face Proposal Network. CCBR Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li
2017	A*	`conf`	Exclusivity-Consistency Regularized Multi-view Subspace Clustering. CVPR Xiaobo Wang, Xiaojie Guo, Zhen Lei, Changqing Zhang, Stan Z. Li
2017	J	`jnl`	FaceBoxes: A CPU Real-time Face Detector with High Accuracy. CoRR Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li
2017	B	`conf`	FaceBoxes: A CPU real-time face detector with high accuracy. IJCB Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li
2017	J	`jnl`	Learning Efficient Image Representation for Person Re-Identification. CoRR Yang Yang, Shengcai Liao, Zhen Lei, Stan Z. Li
2017	J	`jnl`	Multi-label convolutional neural network based pedestrian attribute classification. Image Vis. Comput. Jianqing Zhu, Shengcai Liao, Zhen Lei, Stan Z. Li
2017	B	`conf`	Multi-modality Network with Visual and Geometrical Information for Micro Emotion Recognition. FG Jianzhu Guo, Shuai Zhou, Jinlin Wu, Jun Wan, Xiangyu Zhu, Zhen Lei, Stan Z. Li
2017	J	`jnl`	S CoRR Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li
2017	A*	`conf`	S^3FD: Single Shot Scale-Invariant Face Detector. ICCV Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li
2017	J	`jnl`	Single-Shot Refinement Neural Network for Object Detection. CoRR Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li
2017	—	`conf`	Soft-Margin Softmax for Deep Classification. ICONIP (2) Xuezhi Liang, Xiaobo Wang, Zhen Lei, Shengcai Liao, Stan Z. Li
2017	A*	`conf`	Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification. AAAI Yang Yang, Longyin Wen, Siwei Lyu, Stan Z. Li
2016	J	`jnl`	A Fast and Accurate Unconstrained Face Detector. IEEE Trans. Pattern Anal. Mach. Intell. Shengcai Liao, Anil K. Jain, Stan Z. Li
2016	—	`conf`	Age Estimation Based on Multi-Region Convolutional Neural Network. CCBR Ting Liu, Jun Wan, Tingzhao Yu, Zhen Lei, Stan Z. Li
2016	—	`conf`	Age Estimation Based on a Single Network with Soft Softmax of Aging Modeling. ACCV (3) Zichang Tan, Shuai Zhou, Jun Wan, Zhen Lei, Stan Z. Li
2016	A*	`conf`	CRAFT Objects from Images. CVPR Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li
2016	J	`jnl`	CRAFT Objects from Images. CoRR Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li
2016	—	`conf`	ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition. CVPR Workshops Jun Wan, Stan Z. Li, Yibing Zhao, Shuai Zhou, Isabelle Guyon, Sergio Escalera
2016	J	`jnl`	Embedding Deep Metric for Person Re-identication A Study Against Large Variations. CoRR Hailin Shi, Yang Yang, Xiangyu Zhu, Shengcai Liao, Zhen Lei, Wei-Shi Zheng, Stan Z. Li
2016	—	`conf`	Embedding Deep Metric for Person Re-identification: A Study Against Large Variations. ECCV (1) Hailin Shi, Yang Yang, Xiangyu Zhu, Shengcai Liao, Zhen Lei, Wei-Shi Zheng, Stan Z. Li
2016	J	`jnl`	Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition. IEEE Trans. Cybern. Chuan-Xian Ren, Zhen Lei, Dao-Qing Dai, Stan Z. Li
2016	J	`jnl`	Exploiting Hierarchical Dense Structures on Hypergraphs for Multi-Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. Longyin Wen, Zhen Lei, Siwei Lyu, Stan Z. Li, Ming-Hsuan Yang
2016	J	`jnl`	Explore Efficient Local Features from RGB-D Data for One-Shot Learning Gesture Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Jun Wan, Guodong Guo, Stan Z. Li
2016	A*	`conf`	Face Alignment Across Large Poses: A 3D Solution. CVPR Xiangyu Zhu, Zhen Lei, Xiaoming Liu, Hailin Shi, Stan Z. Li
2016	—	`conf`	Face Classification: A Specialized Benchmark Study. CCBR Jiali Duan, Shengcai Liao, Shuai Zhou, Stan Z. Li
2016	—	`conf`	Face Detection by Aggregating Visible Components. ACCV Workshops (2) Jiali Duan, Shengcai Liao, Xiaoyuan Guo, Stan Z. Li
2016	—	`conf`	Facial Expression Recognition Based on Multi-scale CNNs. CCBR Shuai Zhou, Yanyan Liang, Jun Wan, Stan Z. Li
2016	A*	`conf`	Large Scale Similarity Learning Using Similar Pairs for Person Verification. AAAI Yang Yang, Shengcai Liao, Zhen Lei, Stan Z. Li
2016	—	`conf`	Learning Discriminative Features with Class Encoder. CVPR Workshops Hailin Shi, Xiangyu Zhu, Zhen Lei, Shengcai Liao, Stan Z. Li
2016	J	`jnl`	Learning Discriminative Features with Class Encoder. CoRR Hailin Shi, Xiangyu Zhu, Zhen Lei, Shengcai Liao, Stan Z. Li
2016	J	`jnl`	Learning Stacked Image Descriptor for Face Recognition. IEEE Trans. Circuits Syst. Video Technol. Zhen Lei, Dong Yi, Stan Z. Li
2016	—	`conf`	Message from the Program Chairs. ICB Julian Fiérrez, Stan Z. Li, Arun Ross, Raymond N. J. Veldhuis
2016	A*	`conf`	Metric Embedded Discriminative Vocabulary Learning for High-Level Person Representation. AAAI Yang Yang, Zhen Lei, Shifeng Zhang, Hailin Shi, Stan Z. Li
2016	J	`jnl`	Multi-Modality Fusion based on Consensus-Voting and 3D Convolution for Isolated Gesture Recognition. CoRR Jiali Duan, Shuai Zhou, Jun Wan, Xiaoyuan Guo, Stan Z. Li
2016	J	`jnl`	Multicamera Joint Video Synopsis. IEEE Trans. Circuits Syst. Video Technol. Jianqing Zhu, Shengcai Liao, Stan Z. Li
2015	A*	`conf`	Adaptively Unified Semi-Supervised Dictionary Learning with Active Points. ICCV Xiaobo Wang, Xiaojie Guo, Stan Z. Li
2015	J	`jnl`	Constrained Deep Metric Learning for Person Re-identification. CoRR Hailin Shi, Xiangyu Zhu, Shengcai Liao, Zhen Lei, Yang Yang, Stan Z. Li
2015	J	`jnl`	Convolutional Channel Features For Pedestrian, Face and Edge Detection. CoRR Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li
2015	A*	`conf`	Convolutional Channel Features. ICCV Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li
2015	—	`conf`	DFDnet: Discriminant Face Descriptor Network for Facial Age Estimation. CCBR Ting Liu, Zhen Lei, Jun Wan, Stan Z. Li
2015	B	`conf`	Discriminative 3D morphable model fitting. FG Xiangyu Zhu, Junjie Yan, Dong Yi, Zhen Lei, Stan Z. Li
2015	A*	`conf`	Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification. ICCV Shengcai Liao, Stan Z. Li
2015	—	`book`	Encyclopedia of Biometrics, Second Edition Stan Z. Li, Anil K. Jain
2015	J	`jnl`	Face Alignment Across Large Poses: A 3D Solution. CoRR Xiangyu Zhu, Zhen Lei, Xiaoming Liu, Hailin Shi, Stan Z. Li
2015	—	`ch.`	Face Recognition, Near-Infrared. Encyclopedia of Biometrics Stan Z. Li, Dong Yi
2015	J	`jnl`	Face recognition using Extended Curvature Gabor classifier bunch. Pattern Recognit. Wonjun Hwang, Xiangsheng Huang, Stan Z. Li, Junmo Kim
2015	B	`conf`	Fine-grained evaluation on face detection in the wild. FG Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li
2015	J	`jnl`	Guest Editorial Special Issue on Biometric Spoofing and Countermeasures. IEEE Trans. Inf. Forensics Secur. Nicholas W. D. Evans, Stan Z. Li, Sébastien Marcel, Arun Ross
2015	—	`ch.`	Heterogeneous Face Biometrics. Encyclopedia of Biometrics Stan Z. Li
2015	J	`jnl`	High-Performance Video Condensation System. IEEE Trans. Circuits Syst. Video Technol. Jianqing Zhu, Shikun Feng, Dong Yi, Shengcai Liao, Zhen Lei, Stan Z. Li
2015	A*	`conf`	High-fidelity Pose and Expression Normalization for face recognition in the wild. CVPR Xiangyu Zhu, Zhen Lei, Junjie Yan, Dong Yi, Stan Z. Li
2015	A*	`conf`	JOTS: Joint Online Tracking and Segmentation. CVPR Longyin Wen, Dawei Du, Zhen Lei, Stan Z. Li, Ming-Hsuan Yang
2015	J	`jnl`	Moving Object Detection Revisited: Speed and Robustness. IEEE Trans. Circuits Syst. Video Technol. Hong Han, Jianfei Zhu, Shengcai Liao, Zhen Lei, Stan Z. Li
2015	—	`conf`	Multi-label CNN based pedestrian attribute learning for soft biometrics. ICB Jianqing Zhu, Shengcai Liao, Dong Yi, Zhen Lei, Stan Z. Li
2015	A*	`conf`	Object detection by labeling superpixels. CVPR Junjie Yan, Yinan Yu, Xiangyu Zhu, Zhen Lei, Stan Z. Li
2015	A	`conf`	Online Visual Tracking Using Temporally Coherent Part Cluster. WACV Wenbo Li, Longyin Wen, Mooi Choo Chuah, Yi Zhang, Zhen Lei, Stan Z. Li
2015	A*	`conf`	Person re-identification by Local Maximal Occurrence representation and metric learning. CVPR Shengcai Liao, Yang Hu, Xiangyu Zhu, Stan Z. Li
2015	J	`jnl`	Person-Specific Face Antispoofing With Subject Domain Adaptation. IEEE Trans. Inf. Forensics Secur. Jianwei Yang, Zhen Lei, Dong Yi, Stan Z. Li
2015	B	`conf`	Shared representation learning for heterogenous face recognition. FG Dong Yi, Zhen Lei, Stan Z. Li
2015	—	`ch.`	Skin Spectroscopy. Encyclopedia of Biometrics Dong Yi, Weilong Yang, Stan Z. Li
2015	—	`ch.`	Skin Texture. Encyclopedia of Biometrics Xiangxin Zhu, Zhen Lei, Stan Z. Li
2015	—	`conf`	Subspace learning with frequency regularizer: Its application to face recognition. ICB Zhen Lei, Dong Yi, Xiangsheng Huang, Stan Z. Li
2015	—	`conf`	When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition. ICCV Workshops Guosheng Hu, Yongxin Yang, Dong Yi, Josef Kittler, William J. Christmas, Stan Z. Li, Timothy M. Hospedales
2015	J	`jnl`	When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition. CoRR Guosheng Hu, Yongxin Yang, Dong Yi, Josef Kittler, William J. Christmas, Stan Z. Li, Timothy M. Hospedales
2014	J	`jnl`	A Fast and Accurate Unconstrained Face Detector. CoRR Shengcai Liao, Anil K. Jain, Stan Z. Li
2014	A*	`conf`	A Probabilistic Framework for Multitarget Tracking with Mutual Occlusions. CVPR Menglong Yang, Yiguang Liu, Longyin Wen, Zhisheng You, Stan Z. Li
2014	B	`conf`	A benchmark study of large-scale unconstrained face recognition. IJCB Shengcai Liao, Zhen Lei, Dong Yi, Stan Z. Li
2014	—	`conf`	Adaptive Structural Model for Video Based Pedestrian Detection. ACCV (1) Junjie Yan, Bin Yang, Zhen Lei, Stan Z. Li
2014	—	`conf`	Age Estimation by Multi-scale Convolutional Network. ACCV (3) Dong Yi, Zhen Lei, Stan Z. Li
2014	B	`conf`	Aggregate channel features for multi-view face detection. IJCB Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li
2014	J	`jnl`	Aggregate channel features for multi-view face detection. CoRR Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li
2014	B	`conf`	Color Models and Weighted Covariance Estimation for Person Re-identification. ICPR Yang Yang, Shengcai Liao, Zhen Lei, Dong Yi, Stan Z. Li
2014	—	`conf`	Cross Dataset Person Re-identification. ACCV Workshops (3) Yang Hu, Dong Yi, Shengcai Liao, Zhen Lei, Stan Z. Li
2014	B	`conf`	Deep Metric Learning for Person Re-identification. ICPR Dong Yi, Zhen Lei, Shengcai Liao, Stan Z. Li
2014	J	`jnl`	Deep Metric Learning for Practical Person Re-Identification. CoRR Dong Yi, Zhen Lei, Stan Z. Li
2014	J	`jnl`	Dynamic Image-to-Class Warping for Occluded Face Recognition. IEEE Trans. Inf. Forensics Secur. Xingjie Wei, Chang-Tsun Li, Zhen Lei, Dong Yi, Stan Z. Li
2014	—	`ch.`	Face Anti-spoofing: Multi-spectral Approach. Handbook of Biometric Anti-Spoofing Dong Yi, Zhen Lei, Zhiwei Zhang, Stan Z. Li
2014	J	`jnl`	Face detection by structural models. Image Vis. Comput. Junjie Yan, Xucong Zhang, Zhen Lei, Stan Z. Li
2014	—	`book`	Handbook of Biometric Anti-Spoofing - Trusted Biometrics under Spoofing Attacks Handbook of Biometric Anti-Spoofing Sébastien Marcel, Mark S. Nixon, Stan Z. Li
2014	—	`conf`	Improve Pedestrian Attribute Classification by Weighted Interactions from Other Attributes. ACCV Workshops (3) Jianqing Zhu, Shengcai Liao, Zhen Lei, Stan Z. Li
2014	J	`jnl`	Joint Dimension Reduction and Metric Learning for Person Re-identification. CoRR Shengcai Liao, Yang Hu, Stan Z. Li
2014	J	`jnl`	Learn Convolutional Neural Network for Face Anti-Spoofing. CoRR Jianwei Yang, Zhen Lei, Stan Z. Li
2014	J	`jnl`	Learning Discriminant Face Descriptor. IEEE Trans. Pattern Anal. Mach. Intell. Zhen Lei, Matti Pietikäinen, Stan Z. Li
2014	—	`conf`	Learning Discriminative Hidden Structural Parts for Visual Tracking. ACCV Workshops (3) Longyin Wen, Zhaowei Cai, Dawei Du, Zhen Lei, Stan Z. Li
2014	J	`jnl`	Learning Face Representation from Scratch. CoRR Dong Yi, Zhen Lei, Shengcai Liao, Stan Z. Li
2014	B	`conf`	Local Gradient Order Pattern for Face Representation and Recognition. ICPR Zhen Lei, Dong Yi, Stan Z. Li
2014	J	`jnl`	Matching NIR Face to VIS Face Using Transduction. IEEE Trans. Inf. Forensics Secur. Jun-Yong Zhu, Wei-Shi Zheng, Jian-Huang Lai, Stan Z. Li
2014	B	`conf`	Multi-camera Trajectory Mining: Database and Evaluation. ICPR Yang Hu, Shengcai Liao, Dong Yi, Zhen Lei, Stan Z. Li
2014	A*	`conf`	Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph. CVPR Longyin Wen, Wenbo Li, Junjie Yan, Zhen Lei, Dong Yi, Stan Z. Li
2014	J	`jnl`	Open-set Person Re-identification. CoRR Shengcai Liao, Zhipeng Mo, Yang Hu, Stan Z. Li
2014	B	`conf`	Robust 3D Morphable Model Fitting by Sparse SIFT Flow. ICPR Xiangyu Zhu, Dong Yi, Zhen Lei, Stan Z. Li
2014	J	`jnl`	Robust Deformable and Occluded Object Tracking With Dynamic Graph. IEEE Trans. Image Process. Zhaowei Cai, Longyin Wen, Zhen Lei, Nuno Vasconcelos, Stan Z. Li
2014	J	`jnl`	Robust Online Learned Spatio-Temporal Context Model for Visual Tracking. IEEE Trans. Image Process. Longyin Wen, Zhaowei Cai, Zhen Lei, Dong Yi, Stan Z. Li
2014	—	`conf`	Salient Color Names for Person Re-identification. ECCV (1) Yang Yang, Jimei Yang, Junjie Yan, Shengcai Liao, Dong Yi, Stan Z. Li
2014	J	`jnl`	Shared Representation Learning for Heterogeneous Face Recognition. CoRR Dong Yi, Zhen Lei, Shengcai Liao, Stan Z. Li
2014	—	`conf`	Stacked Deformable Part Model with Shape Regression for Object Part Localization. ECCV (2) Junjie Yan, Zhen Lei, Yang Yang, Stan Z. Li
2014	A*	`conf`	The Fastest Deformable Part Model for Object Detection. CVPR Junjie Yan, Zhen Lei, Longyin Wen, Stan Z. Li
2014	—	`conf`	The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu
2013	J	`jnl`	Discriminant analysis with Gabor phase feature for robust face recognition. J. Electronic Imaging Hong Han, Jianfei Zhu, Zhen Lei, Shengcai Liao, Stan Z. Li
2013	J	`jnl`	Dynamics of a mean-shift-like algorithm and its applications on clustering. Inf. Process. Lett. Yiguang Liu, Stan Z. Li, Wei Wu, Ronggang Huang
2013	—	`conf`	Exploring Structural Information and Fusing Multiple Features for Person Re-identification. CVPR Workshops Yang Hu, Shengcai Liao, Zhen Lei, Dong Yi, Stan Z. Li
2013	—	`conf`	Face liveness detection using 3D structure recovered from a single camera. ICB Tao Wang, Jianwei Yang, Zhen Lei, Shengcai Liao, Stan Z. Li
2013	—	`conf`	Face liveness detection with component dependent descriptor. ICB Jianwei Yang, Zhen Lei, Shengcai Liao, Stan Z. Li
2013	J	`jnl`	Fast Matching by 2 Lines of Code for Large Scale Face Recognition Systems CoRR Dong Yi, Zhen Lei, Yang Hu, Stan Z. Li
2013	—	`conf`	Learn to Combine Multiple Hypotheses for Accurate Face Alignment. ICCV Workshops Junjie Yan, Zhen Lei, Dong Yi, Stan Z. Li
2013	J	`jnl`	Partial Face Recognition: Alignment-Free Approach. IEEE Trans. Pattern Anal. Mach. Intell. Shengcai Liao, Anil K. Jain, Stan Z. Li
2013	—	`conf`	Pedestrian Attribute Classification in Surveillance: Database and Evaluation. ICCV Workshops Jianqing Zhu, Shengcai Liao, Zhen Lei, Dong Yi, Stan Z. Li
2013	B	`conf`	Person-specific face tracking with online recognition. FG Zhaowei Cai, Longyin Wen, Dong Cao, Zhen Lei, Dong Yi, Stan Z. Li
2013	J	`jnl`	Prime Discriminant Simplicial Complex. IEEE Trans. Neural Networks Learn. Syst. Junping Zhang, Ziyu Xie, Stan Z. Li
2013	—	`conf`	Real-time high performance deformable model for face detection in the wild. ICB Junjie Yan, Xucong Zhang, Zhen Lei, Stan Z. Li
2013	J	`jnl`	Regularized Discriminative Spectral Regression Method for Heterogeneous Face Matching. IEEE Trans. Image Process. Xiangsheng Huang, Zhen Lei, Mingyu Fan, Xiao Wang, Stan Z. Li
2013	A*	`conf`	Robust Multi-resolution Pedestrian Detection in Traffic Scenes. CVPR Junjie Yan, Xucong Zhang, Zhen Lei, Shengcai Liao, Stan Z. Li
2013	—	`conf`	Separating Specular and Diffuse Reflection Components in the HSI Color Space. ICCV Workshops Jianwei Yang, Lixing Liu, Stan Z. Li
2013	B	`conf`	Structural models for face detection. FG Junjie Yan, Xucong Zhang, Zhen Lei, Dong Yi, Stan Z. Li
2013	—	`conf`	The 2nd competition on counter measures to 2D face spoofing attacks. ICB Ivana Chingovska, J. Yang, Zhen Lei, Dong Yi, Stan Z. Li, Olga Kähm, Christian Glaser, Naser Damer, Arjan Kuijper, Alexander Nouak, Jukka Komulainen, Tiago Freitas Pereira, Shubham Gupta, Shubham Khandelwal, Shubham Bansal, Ayush K. Rai, Tarun Krishna, Dushyant Goyal, Muhammad-Adeel Waris, Honglei Zhang, Iftikhar Ahmad, Serkan Kiranyaz, Moncef Gabbouj, Roberto Tronci, Maurizio Pili, Nicola Sirena, Fabio Roli, Javier Galbally, Julian Fiérrez, Allan da Silva Pinto, Hélio Pedrini, W. S. Schwartz, Anderson Rocha, André Anjos, Sébastien Marcel
2013	—	`conf`	The CASIA NIR-VIS 2.0 Face Database. CVPR Workshops Stan Z. Li, Dong Yi, Zhen Lei, Shengcai Liao
2013	A*	`conf`	Towards Pose Robust Face Recognition. CVPR Dong Yi, Zhen Lei, Stan Z. Li
2012	—	`conf`	A New Projection Space for Separation of Specular-Diffuse Reflection Components in Color Images. ACCV (4) Jianwei Yang, Zhaowei Cai, Longyin Wen, Zhen Lei, Guodong Guo, Stan Z. Li
2012	—	`conf`	A face antispoofing database with diverse attacks. ICB Zhiwei Zhang, Junjie Yan, Sifei Liu, Zhen Lei, Dong Yi, Stan Z. Li
2012	—	`conf`	An improved coupled spectral regression for heterogeneous face recognition. ICB Zhen Lei, Changtao Zhou, Dong Yi, Anil K. Jain, Stan Z. Li
2012	J	`jnl`	Coupled Discriminant Analysis for Heterogeneous Face Recognition. IEEE Trans. Inf. Forensics Secur. Zhen Lei, Shengcai Liao, Anil K. Jain, Stan Z. Li
2012	—	`conf`	Discriminant analysis with Gabor phase for robust face recognition. ICB Jianfei Zhu, Dong Cao, Sifei Liu, Zhen Lei, Stan Z. Li
2012	A*	`conf`	Discriminant image filter learning for face recognition with local binary pattern like representation. CVPR Zhen Lei, Dong Yi, Stan Z. Li
2012	B	`conf`	Efficient feature selection for linear discriminant analysis and its application to face recognition. ICPR Zhen Lei, Shengcai Liao, Stan Z. Li
2012	C	`conf`	Face liveness detection by exploring multiple scenic clues. ICARCV Junjie Yan, Zhiwei Zhang, Zhen Lei, Dong Yi, Stan Z. Li
2012	J	`jnl`	Fast multi-scale local phase quantization histogram for face recognition. Pattern Recognit. Lett. Zhen Lei, Stan Z. Li
2012	J	`jnl`	Feature space locality constraint for kernel based nonlinear discriminant analysis. Pattern Recognit. Zhen Lei, Zhiwei Zhang, Stan Z. Li
2012	—	`conf`	Heterogeneous face image matching using multi-scale features. ICB Sifei Liu, Dong Yi, Zhen Lei, Stan Z. Li
2012	—	`conf`	Human Age Estimation Using Ranking SVM. CCBR Dong Cao, Zhen Lei, Zhiwei Zhang, Jun Feng, Stan Z. Li
2012	—	`conf`	Learning Discriminant Face Descriptor for Face Recognition. ACCV (2) Zhen Lei, Stan Z. Li
2012	A*	`conf`	Multi-pedestrian detection in crowded scenes: A global view. CVPR Junjie Yan, Zhen Lei, Dong Yi, Stan Z. Li
2012	B	`conf`	Online Multiple Instance Joint Model for Visual Tracking. AVSS Longyin Wen, Zhaowei Cai, Menglong Yang, Zhen Lei, Dong Yi, Stan Z. Li
2012	—	`conf`	Online Spatio-temporal Structural Context Learning for Visual Tracking. ECCV (4) Longyin Wen, Zhaowei Cai, Zhen Lei, Dong Yi, Stan Z. Li
2012	A*	`conf`	Online content-aware video condensation. CVPR Shikun Feng, Zhen Lei, Dong Yi, Stan Z. Li
2012	J	`jnl`	Regularized Transfer Boosting for Face Detection Across Spectrum. IEEE Signal Process. Lett. Zhiwei Zhang, Dong Yi, Zhen Lei, Stan Z. Li
2012	B	`conf`	Spatio-temporal LBP Based Moving Object Segmentation in Compressed Domain. AVSS Jianwei Yang, Shizheng Wang, Zhen Lei, Yanyun Zhao, Stan Z. Li
2012	—	`conf`	Structured Visual Tracking with Dynamic Graph. ACCV (3) Zhaowei Cai, Longyin Wen, Jianwei Yang, Zhen Lei, Stan Z. Li
2012	B	`conf`	Water Filling: Unsupervised People Counting via Vertical Kinect Sensor. AVSS Xucong Zhang, Junjie Yan, Shikun Feng, Zhen Lei, Dong Yi, Stan Z. Li
2011	B	`conf`	A robust eye localization method for low quality face images. IJCB Dong Yi, Zhen Lei, Stan Z. Li
2011	—	`conf`	A surveillance video analysis and storage scheme for scalable synopsis browsing. ICCV Workshops Shizheng Wang, Jianwei Yang, Yanyun Zhao, Anni Cai, Stan Z. Li
2011	—	`ch.`	Biometrics in Video Surveillance. Encyclopedia of Cryptography and Security (2nd Ed.) Stan Z. Li
2011	B	`conf`	Competition on counter measures to 2-D facial spoofing attacks. IJCB Murali Mohan Chakka, André Anjos, Sébastien Marcel, Roberto Tronci, Daniele Muntoni, Gianluca Fadda, Maurizio Pili, Nicola Sirena, Gabriele Murgia, Marco Ristori, Fabio Roli, Junjie Yan, Dong Yi, Zhen Lei, Zhiwei Zhang, Stan Z. Li, William Robson Schwartz, Anderson Rocha, Hélio Pedrini, Javier Lorenzo-Navarro, Modesto Castrillón Santana, Jukka Määttä, Abdenour Hadid, Matti Pietikäinen
2011	J	`jnl`	Contextual constraints based linear discriminant analysis. Pattern Recognit. Lett. Zhen Lei, Stan Z. Li
2011	—	`conf`	Detecting individual in crowd with moving feature's structure consistency. ICCV Workshops Yuanhao Yu, Zhen Lei, Dong Yi, Stan Z. Li
2011	—	`ch.`	Face Detection. Handbook of Face Recognition Stan Z. Li, Jianxin Wu
2011	—	`ch.`	Face Recognition Using Near Infrared Images. Handbook of Face Recognition Stan Z. Li, Dong Yi
2011	J	`jnl`	Face Recognition by Exploring Information Jointly in Space, Scale and Orientation. IEEE Trans. Image Process. Zhen Lei, Shengcai Liao, Matti Pietikäinen, Stan Z. Li
2011	B	`conf`	Face liveness detection by learning multispectral reflectance distributions. FG Zhiwei Zhang, Dong Yi, Zhen Lei, Stan Z. Li
2011	J	`jnl`	Facial expression recognition from near-infrared videos. Image Vis. Comput. Guoying Zhao, Xiaohua Huang, Matti Taini, Stan Z. Li, Matti Pietikäinen
2011	—	`book`	Handbook of Face Recognition, 2nd Edition. Stan Z. Li, Anil K. Jain
2011	—	`ch.`	Introduction. Handbook of Face Recognition Stan Z. Li, Anil K. Jain
2011	B	`conf`	Learning sparse feature for eyeglasses problem in face recognition. FG Dong Yi, Stan Z. Li
2011	B	`conf`	Local frequency descriptor for low-resolution face recognition. FG Zhen Lei, Timo Ahonen, Matti Pietikäinen, Stan Z. Li
2011	B	`conf`	Low-resolution face recognition via Simultaneous Discriminant Analysis. IJCB Changtao Zhou, Zhiwei Zhang, Dong Yi, Zhen Lei, Stan Z. Li
2011	J	`jnl`	Nearest Prime Simplicial Complex for Object Recognition CoRR Junping Zhang, Ziyu Xie, Stan Z. Li
2011	B	`conf`	Towards incremental and large scale face recognition. IJCB Junjie Yan, Zhen Lei, Dong Yi, Stan Z. Li
2010	J	`jnl`	3D Modeling of Faces from Near Infrared Images Using Statistical Learning. Int. J. Pattern Recognit. Artif. Intell. Ying Zheng, Stan Z. Li, Jianglong Chang, Zengfu Wang
2010	A*	`conf`	Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes. CVPR Shengcai Liao, Guoying Zhao, Vili Kellokumpu, Matti Pietikäinen, Stan Z. Li
2010	B	`conf`	Moving Cast Shadow Removal Based on Local Descriptors. ICPR Rui Qin, Shengcai Liao, Zhen Lei, Stan Z. Li
2010	B	`conf`	Online Principal Background Selection for Video Synopsis. ICPR Shikun Feng, Shengcai Liao, Zhiyong Yuan, Stan Z. Li
2009	—	`conf`	A Discriminant Analysis Method for Face Recognition in Heteroscedastic Distributions. ICB Zhen Lei, Shengcai Liao, Dong Yi, Rui Qin, Stan Z. Li
2009	—	`conf`	Adaptive object classification in surveillance system by exploiting scene context. CVPR Workshops Jitao Sang, Zhen Lei, Shengcai Liao, Stan Z. Li
2009	—	`conf`	An Analysis-by-Synthesis Method for Heterogeneous Face Biometrics. ICB Rui Wang, Jimei Yang, Dong Yi, Stan Z. Li
2009	J	`jnl`	Automatic 3D face recognition from depth and intensity Gabor features. Pattern Recognit. Chenghua Xu, Stan Z. Li, Tieniu Tan, Long Quan
2009	—	`conf`	Automatic Partial Face Alignment in NIR Video Sequences. ICB Jimei Yang, Shengcai Liao, Stan Z. Li
2009	—	`conf`	Bayesian Face Recognition Based on Markov Random Field Modeling. ICB Rui Wang, Zhen Lei, Meng Ao, Stan Z. Li
2009	—	`ch.`	Biometrics at a Distance: Issues, Challenges, and Prospects. Handbook of Remote Biometrics Stan Z. Li, Ben A. M. Schouten, Massimo Tistarelli
2009	A*	`conf`	Coupled Spectral Regression for matching heterogeneous faces. CVPR Zhen Lei, Stan Z. Li
2009	—	`conf`	Dynamic Texture Based Gait Recognition. ICB Vili Kellokumpu, Guoying Zhao, Stan Z. Li, Matti Pietikäinen
2009	—	`book`	Encyclopedia of Biometrics Encyclopedia of Biometrics Stan Z. Li, Anil K. Jain
2009	—	`conf`	Face Image Quality Evaluation for ISO/IEC Standards 19794-5 and 29794-5. ICB Jitao Sang, Zhen Lei, Stan Z. Li
2009	—	`ch.`	Face Recognition at a Distance: System Issues. Handbook of Remote Biometrics Meng Ao, Dong Yi, Zhen Lei, Stan Z. Li
2009	—	`ch.`	Face Recognition, Near-Infrared. Encyclopedia of Biometrics Stan Z. Li, Dong Yi
2009	—	`book`	Handbook of Remote Biometrics Massimo Tistarelli, Stan Z. Li, Rama Chellappa
2009	—	`ch.`	Heterogeneous Face Biometrics. Encyclopedia of Biometrics Stan Z. Li
2009	—	`conf`	Heterogeneous Face Recognition from Local Structures of Normalized Appearance. ICB Shengcai Liao, Dong Yi, Zhen Lei, Rui Qin, Stan Z. Li
2009	A*	`conf`	Learning mappings for face synthesis from near infrared to visual light images. CVPR Jie Chen, Dong Yi, Jimei Yang, Guoying Zhao, Stan Z. Li, Matti Pietikäinen
2009	A*	`conf`	Learning semantic scene models by object classification and trajectory clustering. CVPR Tianzhu Zhang, Hanqing Lu, Stan Z. Li
2009	—	`book`	Markov Random Field Modeling in Image Analysis. Stan Z. Li
2009	—	`conf`	Near Infrared Face Based Biometric Key Binding. ICB Meng Ao, Stan Z. Li
2009	—	`conf`	Nonnegative Matrix Factorization with Gibbs Random Field modeling. ICCV Workshops Shengcai Liao, Zhen Lei, Stan Z. Li
2009	—	`conf`	Partial Face Matching between Near Infrared and Visual Images in MBGC Portal Challenge. ICB Dong Yi, Shengcai Liao, Zhen Lei, Jitao Sang, Stan Z. Li
2009	J	`jnl`	Perturbation LDA: Learning the difference between the class empirical mean and its expectation. Pattern Recognit. Wei-Shi Zheng, Jian-Huang Lai, Pong Chi Yuen, Stan Z. Li
2009	—	`ch.`	Skin Spectroscopy. Encyclopedia of Biometrics Dong Yi, Weilong Yang, Stan Z. Li
2009	—	`ch.`	Skin Texture. Encyclopedia of Biometrics Xiangxin Zhu, Zhen Lei, Stan Z. Li
2009	—	`conf`	Stepwise Correlation metric based Discriminant Analysis and multi-probe images fusion for face recognition. ICCV Workshops Zhen Lei, Shengcai Liao, Stan Z. Li
2009	A*	`conf`	Stochastic gradient kernel density mode-seeking. CVPR Xiaotong Yuan, Stan Z. Li
2009	—	`conf`	The HFB Face Database for Heterogeneous Face Biometrics research. CVPR Workshops Stan Z. Li, Zhen Lei, Meng Ao
2008	J	`jnl`	1D-LDA vs. 2D-LDA: When is vector-based linear discriminant analysis better than matrix-based? Pattern Recognit. Wei-Shi Zheng, Jian-Huang Lai, Stan Z. Li
2008	B	`conf`	2D-3D face matching using CCA. FG Weilong Yang, Dong Yi, Zhen Lei, Jitao Sang, Stan Z. Li
2008	—	`conf`	A set theoretical method for video synopsis. Multimedia Information Retrieval Min Xu, Stan Z. Li, Bin Li, Xiaotong Yuan, Shiming Xiang
2008	A*	`conf`	Face shape recovery from a single image using CCA mapping between tensor spaces. CVPR Zhen Lei, Qinqun Bai, Ran He, Stan Z. Li
2008	B	`conf`	Facial expression recognition from near-infrared video sequences. ICPR Matti Taini, Guoying Zhao, Stan Z. Li, Matti Pietikäinen
2008	B	`conf`	Gabor volume based local binary pattern for face representation and recognition. FG Zhen Lei, Shengcai Liao, Ran He, Matti Pietikäinen, Stan Z. Li
2008	J	`jnl`	Nearest feature line. Scholarpedia Stan Z. Li
2008	B	`conf`	Normalized LDA for semi-supervised learning. FG Bin Fan, Zhen Lei, Stan Z. Li
2008	B	`conf`	Regularized active shape model for shape alignment. FG Ran He, Zhen Lei, Xiaotong Yuan, Stan Z. Li
2007	—	`ed.`	Advances in Biometrics, International Conference, ICB 2007, Seoul, Korea, August 27-29, 2007, Proceedings ICB Seong-Whan Lee, Stan Z. Li
2007	—	`conf`	Coarse-to-Fine Statistical Shape Model by Bayesian Inference. ACCV (1) Ran He, Stan Z. Li, Zhen Lei, Shengcai Liao
2007	—	`conf`	Color Constancy Via Convex Kernel Optimization. ACCV (1) Xiaotong Yuan, Stan Z. Li, Ran He
2007	—	`conf`	Face Detection Based on Multi-Block LBP Representation. ICB Lun Zhang, Rufeng Chu, Shiming Xiang, Shengcai Liao, Stan Z. Li
2007	—	`conf`	Face Matching Between Near Infrared and Visible Light Images. ICB Dong Yi, Rong Liu, Rufeng Chu, Zhen Lei, Stan Z. Li
2007	—	`conf`	Face Recognition by Discriminant Analysis with Gabor Tensor Representation. ICB Zhen Lei, Rufeng Chu, Ran He, Shengcai Liao, Stan Z. Li
2007	—	`conf`	Face Recognition with Local Gabor Textons. ICB Zhen Lei, Stan Z. Li, Rufeng Chu, Xiangxin Zhu
2007	—	`conf`	Feature Correlation Filter for Face Recognition. ICB Xiangxin Zhu, Shengcai Liao, Zhen Lei, Rong Liu, Stan Z. Li
2007	A*	`conf`	Fusion of Face and Palmprint for Personal Identification Based on Ordinal Features. CVPR Rufeng Chu, Shengcai Liao, Yufei Han, Zhenan Sun, Stan Z. Li, Tieniu Tan
2007	—	`conf`	Fusion of Near Infrared Face and Iris Biometrics. ICB Zhijian Zhang, Rui Wang, Ke Pan, Stan Z. Li, Peiren Zhang
2007	A*	`conf`	Half Quadratic Analysis for Mean Shift: with Extension to A Sequential Data Mode-Seeking Method. ICCV Xiaotong Yuan, Stan Z. Li
2007	J	`jnl`	Illumination Invariant Face Recognition Using Near-Infrared Images. IEEE Trans. Pattern Anal. Mach. Intell. Stan Z. Li, Rufeng Chu, Shengcai Liao, Lun Zhang
2007	—	`conf`	Learning Gabor Magnitude Features for Palmprint Recognition. ACCV (2) Rufeng Chu, Zhen Lei, Yufei Han, Ran He, Stan Z. Li
2007	—	`conf`	Learning Multi-scale Block Local Binary Patterns for Face Recognition. ICB Shengcai Liao, Xiangxin Zhu, Zhen Lei, Lun Zhang, Stan Z. Li
2007	—	`conf`	Learning Personal Specific Facial Dynamics for Face Recognition from Videos. AMFG Abdenour Hadid, Matti Pietikäinen, Stan Z. Li
2007	A*	`conf`	On Constrained Sparse Matrix Factorization. ICCV Wei-Shi Zheng, Stan Z. Li, Jian-Huang Lai, Shengcai Liao
2007	—	`conf`	Outdoor Face Recognition Using Enhanced Near Infrared Imaging. ICB Dong Yi, Rong Liu, Rufeng Chu, Rui Wang, Dong Liu, Stan Z. Li
2007	A*	`conf`	Part-based Face Recognition Using Near Infrared Images. CVPR Ke Pan, Shengcai Liao, Zhijian Zhang, Stan Z. Li, Peiren Zhang
2007	A*	`conf`	Real-time Object Classification in Video Surveillance Based on Appearance Learning. CVPR Lun Zhang, Stan Z. Li, Xiaotong Yuan, Shiming Xiang
2007	—	`conf`	Standardization of Face Image Sample Quality. ICB Xiufeng Gao, Stan Z. Li, Rong Liu, Peiren Zhang
2007	—	`conf`	Structured Ordinal Features for Appearance-Based Object Representation. AMFG Shengcai Liao, Zhen Lei, Stan Z. Li, Xiaotong Yuan, Ran He
2007	—	`conf`	Tracking and Recognition of Multiple Faces at Distances. ICB Rong Liu, Xiufeng Gao, Rufeng Chu, Xiangxin Zhu, Stan Z. Li
2006	—	`conf`	A Near-infrared Image Based Face Recognition System. FGR Stan Z. Li, Lun Zhang, Shengcai Liao, Xiangxin Zhu, Rufeng Chu, Meng Ao, Ran He
2006	B	`conf`	A Random Field Model for Improved Feature Extraction and Tracking. AVSS Xiaotong Yuan, Stan Z. Li
2006	J	`jnl`	Ensemble-based discriminant learning with boosting for face recognition. IEEE Trans. Neural Networks Juwei Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos, Stan Z. Li
2006	—	`conf`	Face Recognition Using Ordinal Features. ICB Shengcai Liao, Zhen Lei, Xiangxin Zhu, Zhenan Sun, Stan Z. Li, Tieniu Tan
2006	—	`conf`	Highly Accurate and Fast Face Recognition Using Near Infrared Images. ICB Stan Z. Li, Rufeng Chu, Meng Ao, Lun Zhang, Ran He
2006	—	`conf`	Learning Effective Intrinsic Features to Boost 3D-Based Face Recognition. ECCV (2) Chenghua Xu, Tieniu Tan, Stan Z. Li, Yunhong Wang, Cheng Zhong
2006	B	`conf`	Learning Feature Extraction and Classification for Tracking Multiple Objects: A Unified Framework. AVSS Xiaotong Yuan, Stan Z. Li
2006	—	`conf`	Reliable and Fast Tracking of Faces under Varying Pose. FGR Tao Yang, Stan Z. Li, Quan Pan, Jing Li, Chunhui Zhao
2005	B	`conf`	Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning. PAKDD Junping Zhang, Stan Z. Li
2005	—	`ed.`	Advances in Biometric Person Authentication, International Workshop on Biometric Recognition Systems, IWBRS2005, Beijing, China, October 22-23, 2005, Proceedings IWBRS Stan Z. Li, Zhenan Sun, Tieniu Tan, Sharath Pankanti, Gérard Chollet, David Zhang
2005	—	`conf`	Automated Feature Points Management for Video Mosaic Construction. ICITA (1) Jing Li, Quan Pan, Tao Yang, Stan Z. Li
2005	—	`conf`	Geometrical Probability Covering Algorithm. FSKD (1) Junping Zhang, Stan Z. Li, Jue Wang
2005	—	`conf`	Jensen-Shannon Boosting Learning for Object Recognition. CVPR (2) Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
2005	J	`jnl`	Learning multiview face subspaces and facial pose estimation using independent component analysis. IEEE Trans. Image Process. Stan Z. Li, Xiaoguang Lu, Xinwen Hou, Xianhua Peng, QianSheng Cheng
2005	—	`conf`	Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels. AMFG Stan Z. Li, Chunshui Zhao, Meng Ao, Zhen Lei
2005	—	`conf`	Ordinal Palmprint Represention for Personal Identification. CVPR (1) Zhenan Sun, Tieniu Tan, Yunhong Wang, Stan Z. Li
2005	—	`conf`	Real-Time Multiple Objects Tracking with Occlusion Handling in Dynamic Scenes. CVPR (1) Tao Yang, Stan Z. Li, Quan Pan, Jing Li
2004	—	`ed.`	Advances in Biometric Person Authentication, 5th Chinese Conference on Biometric Recognition, SINOBIOMETRICS 2004, Guangzhou, China, December 13-14, 2004, Proceedings SINOBIOMETRICS Stan Z. Li, Jian-Huang Lai, Tieniu Tan, Guo-Can Feng, Yangsheng Wang
2004	—	`conf`	Boosting Local Binary Pattern (LBP)-Based Face Recognition. SINOBIOMETRICS Guangcheng Zhang, Xiangsheng Huang, Stan Z. Li, Yangsheng Wang, Xihong Wu
2004	—	`conf`	Boosting Local Feature Based Classifiers for Face Recognition. CVPR Workshops Lei Zhang, Stan Z. Li, Zhi Yi Qu, Xiangsheng Huang
2004	Misc	`conf`	Color based grayscale-fused image enhancement algorithm for video surveillance. ICIG Stan Z. Li, Quan Pan, Tao Yang, Yongmei Cheng
2004	—	`conf`	Evaluation of Face Alignment Solutions Using Statistical Learning. FGR Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
2004	—	`conf`	Face Alignment Under Variable Illumination. FGR Yuchi Huang, Stephen Lin, Stan Z. Li, Hanqing Lu, Heung-Yeung Shum
2004	—	`conf`	Face Recognition Using Ada-Boosted Gabor Features. FGR Peng Yang, Shiguang Shan, Wen Gao, Stan Z. Li, Dong Zhang
2004	—	`conf`	Face Recognition under Varying Lighting Conditions Using Self Quotient Image. FGR Haitao Wang, Stan Z. Li, Yangsheng Wang
2004	—	`conf`	Face Recognition: Technical Challenges and Research Directions. SINOBIOMETRICS Stan Z. Li
2004	J	`jnl`	FloatBoost Learning and Statistical Face Detection. IEEE Trans. Pattern Anal. Mach. Intell. Stan Z. Li, ZhenQiu Zhang
2004	—	`conf`	Generalized Quotient Image. CVPR (2) Haitao Wang, Stan Z. Li, Yangsheng Wang
2004	—	`conf`	Learning with Cascade for Classification of Non-Convex Manifolds. CVPR Workshops Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
2004	Misc	`conf`	Multiple layer based background maintenance in complex environment. ICIG Tao Yang, Quan Pan, Stan Z. Li, Jing Li
2004	—	`conf`	Nearest Intra-Class Space Classifier for Face Recognition. ICPR (4) Wei Liu, Yunhong Wang, Stan Z. Li, Tieniu Tan
2004	—	`conf`	Nearest Manifold Approach for Face Recognition. FGR Junping Zhang, Stan Z. Li, Jue Wang
2004	—	`conf`	Null Space Approach of Fisher Discriminant Analysis for Face Recognition. ECCV Workshop BioAW Wei Liu, Yunhong Wang, Stan Z. Li, Tieniu Tan
2004	—	`conf`	Null Space-based Kernel Fisher Discriminant Analysis for Face Recognition. FGR Wei Liu, Yunhong Wang, Stan Z. Li, Tieniu Tan
2004	—	`conf`	Optimal Shape Space and Searching in ASM Based Face Alignment. SINOBIOMETRICS Lianghua He, Stan Z. Li, Jianzhong Zhou, Li Zhao, Cairong Zou
2004	—	`conf`	Real-Time Face Detection Using Boosting in Hierarchical Feature Spaces. ICPR (2) Dong Zhang, Stan Z. Li, Daniel Gatica-Perez
2004	—	`conf`	Real-time and accurate segmentation of moving objects in dynamic scene. VSSN@MM Tao Yang, Stan Z. Li, Quan Pan, Jing Li
2004	B	`conf`	Self quotient image for face recognition. ICIP Haitao Wang, Stan Z. Li, Yangsheng Wang, Jian-Jun Zhang
2004	J	`jnl`	Shape and texture preserved non-photorealistic rendering. Comput. Animat. Virtual Worlds Haitao Wang, Jian J. Zhang, Stan Z. Li, Yangsheng Wang
2004	Misc	`conf`	Shape localization based on statistical method using extended local binary pattern. ICIG Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
2004	—	`conf`	Statistical Learning of Evaluation Function for ASM/AAM Image Alignment. ECCV Workshop BioAW Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
2004	—	`conf`	Subspace Analysis and Optimization for AAM Based Face Alignment. FGR Ming Zhao, Chun Chen, Stan Z. Li, Jiajun Bu
2003	J	`jnl`	Bayesian shape model for facial feature extraction and recognition. Pattern Recognit. Zhong Xue, Stan Z. Li, Eam Khwang Teoh
2003	J	`jnl`	Content-based audio classification and retrieval by support vector machines. IEEE Trans. Neural Networks Guodong Guo, Stan Z. Li
2003	J	`jnl`	Content-based audio classification and segmentation by using support vector machines. Multim. Syst. Lie Lu, HongJiang Zhang, Stan Z. Li
2003	—	`conf`	Face Alignment Using Statistical Models and Wavelet Features. CVPR (1) Feng Jiao, Stan Z. Li, Heung-Yeung Shum, Dale Schuurmans
2003	J	`jnl`	Face alignment using texture-constrained active shape models. Image Vis. Comput. Shuicheng Yan, Ce Liu, Stan Z. Li, HongJiang Zhang, Heung-Yeung Shum, QianSheng Cheng
2003	J	`jnl`	Face alignment using view-based direct appearance models. Int. J. Imaging Syst. Technol. Shuicheng Yan, Xinwen Hou, Stan Z. Li, HongJiang Zhang, QianSheng Cheng
2003	—	`conf`	Illumination Modeling and Normalization for Face Recognition. AMFG Haitao Wang, Stan Z. Li, Yangsheng Wang, Weiwei Zhang
2003	A	`conf`	Learning to boost GMM based speaker verification. INTERSPEECH Stan Z. Li, Dong Zhang, Chengyuan Ma, Heung-Yeung Shum, Eric Chang
2003	—	`conf`	Multi-Modal Face Tracking Using Bayesian Network. AMFG Fang Liu, Xueyin Lin, Stan Z. Li, Yuanchun Shi
2003	J	`jnl`	Relevance feedback in content-based image retrieval: Bayesian framework, feature subspaces, and progressive learning. IEEE Trans. Image Process. Zhong Su, HongJiang Zhang, Stan Z. Li, Shaoping Ma
2002	C	`conf`	A novel Bayesian shape model for facial feature extraction. ICARCV Zhong Xue, Stan Z. Li, Dinggang Shen, Eam Khwang Teoh
2002	J	`jnl`	AI-EigenSnake: an affine-invariant deformable contour model for object matching. Image Vis. Comput. Zhong Xue, Stan Z. Li, Eam Khwang Teoh
2002	Misc	`conf`	Audio textures. ICASSP Lie Lu, Stan Z. Li, Liu Wenyin, Hong-Jiang Zhang, Yi Mao
2002	—	`conf`	FloatBoost Learning for Classification. NIPS Stan Z. Li, ZhenQiu Zhang, Heung-Yeung Shum, HongJiang Zhang
2002	—	`conf`	Multi-View Face Alignment Using Direct Appearance Models. FGR Stan Z. Li, HongJiang Zhang, Shuicheng Yan, QianSheng Cheng
2002	A	`conf`	Multi-View Face Detection with FloatBoost. WACV ZhenQiu Zhang, Mingjing Li, Stan Z. Li, HongJiang Zhang
2002	—	`conf`	Multi-View Face Pose Estimation Based on Supervised ISA Learning. FGR Stan Z. Li, HongJiang Zhang, Xianhuan Peng, Xinwen Hou, QianSheng Cheng
2002	—	`conf`	Real-Time Multi-View Face Detection. FGR ZhenQiu Zhang, Long Zhu, Stan Z. Li, HongJiang Zhang
2002	—	`conf`	Statistical Learning of Multi-view Face Detection. ECCV (4) Stan Z. Li, Long Zhu, ZhenQiu Zhang, Andrew Blake, HongJiang Zhang, Harry Shum
2001	A	`conf`	Analysis of speaker variability. INTERSPEECH Chao Huang, Tao Chen, Stan Z. Li, Eric Chang, Jian-Lai Zhou
2001	A	`conf`	Boosting For Content-Based Audio Classification And Retrieval: An Evaluation. ICME Guodong Guo, HongJiang Zhang, Stan Z. Li
2001	A	`conf`	Content-Based Audio Segmentation Content-Based Audio Segmentation. ICME Lie Lu, Stan Z. Li, HongJiang Zhang
2001	Misc	`conf`	Content-based retrieval of video shot using the-improved nearest feature line method. ICASSP Li Zhao, Wei Qi, Stan Z. Li, Shi-Qiang Yang, Hong-Jiang Zhang
2001	—	`conf`	Direct Appearance Models. CVPR (1) Xinwen Hou, Stan Z. Li, HongJiang Zhang, QianSheng Cheng
2001	Misc	`conf`	Distance-from-boundary as a metric for texture image retrieval. ICASSP Guodong Guo, Hong-Jiang Zhang, Stan Z. Li
2001	A*	`conf`	Extraction of feature subspaces for content-based retrieval using relevance feedback. ACM Multimedia Zhong Su, Stan Z. Li, HongJiang Zhang
2001	—	`conf`	Facial feature extraction and image warping using PCA based statistic model. ICIP (2) Zhong Xue, Stan Z. Li, Eam Khwang Teoh
2001	A*	`conf`	Kernel Machine Based Learning for Multi-View Face Detection and Pose Estimation. ICCV Stan Z. Li, QingDong Fu, Lie Gu, Bernhard Schölkopf, Yimin Cheng, HongJiang Zhang
2001	A*	`conf`	Learning Low Dimensional Invariant Signature of 3-D Object under Varying View and Illumination from 2-D Appearances. ICCV Stan Z. Li, Jie Yan, Xinwen Hou, Zeyu Li, HongJiang Zhang
2001	—	`conf`	Learning Probabilistic Distribution Model for Multi-View Face Detection. CVPR (2) Lie Gu, Stan Z. Li, HongJiang Zhang
2001	—	`conf`	Learning Representative Local Features for Face Detection. CVPR (1) Xiangrong Chen, Lie Gu, Stan Z. Li, HongJiang Zhang
2001	—	`conf`	Learning Spatially Localized, Parts-Based Representation. CVPR (1) Stan Z. Li, Xinwen Hou, HongJiang Zhang, QianSheng Cheng
2001	Misc	`conf`	Learning topographic representation for multi-view image patterns. ICASSP Stan Z. Li, Xiaoguang Lv, HongJiang Zhang, QingDong Fu, Yimin Cheng
2001	A*	`conf`	Pairwise Face Recognition. ICCV Guodong Guo, HongJiang Zhang, Stan Z. Li
2001	J	`jnl`	Rule mining with prior knowledge - a belief networks approach. Intell. Data Anal. Zonglin Zhou, Huan Liu, Stan Z. Li, Chin-Seng Chua
2001	J	`jnl`	Support vector machines for face recognition. Image Vis. Comput. Guodong Guo, Stan Z. Li, Kap Luk Chan
2001	A*	`conf`	View-Based Clustering of Object Appearances Based on Independent Subspace Analysis. ICCV Stan Z. Li, Xiaoguang Lv, HongJiang Zhang
2000	B	`conf`	A Theoretical Justification of Nearest Feature Line Method. ICPR Zonglin Zhou, Stan Z. Li, Kap Luk Chan
2000	B	`conf`	Combining Feature Optimization into Neural Network Based Face Detection. ICPR Stan Z. Li, Qian Gu
2000	J	`jnl`	Content-based audio classification and retrieval using the nearest feature line method. IEEE Trans. Speech Audio Process. Stan Z. Li
2000	B	`conf`	Efficient Object Matching Using Affine-Invariant Deformable Contour. ICPR Zhong Xue, Stan Z. Li, Eam Khwang Teoh
2000	B	`conf`	Face Recognition Based on Multiple Facial Features. FG Rui Liao, Stan Z. Li
2000	B	`conf`	Face Recognition by Support Vector Machines. FG Guodong Guo, Stan Z. Li, Kap Luk Chan
2000	—	`conf`	Key-frame extraction and shot retrieval using nearest feature line (NFL). ACM Multimedia Workshops Li Zhao, Wei Qi, Stan Z. Li, Shi-Qiang Yang, HongJiang Zhang
2000	—	`conf`	Learning Similarity for Texture Image Retrieval. ECCV (1) Guodong Guo, Stan Z. Li, Kap Luk Chan
2000	J	`jnl`	MRF parameter estimation by MCMC method. Pattern Recognit. Lei Wang, Jun Liu, Stan Z. Li
2000	J	`jnl`	Performance Evaluation of the Nearest Feature Line Method in Image Classification and Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. Stan Z. Li, Kap Luk Chan, Changliang Wang
2000	J	`jnl`	Recognizing multiple overlapping objects in image: an optimal formulation. IEEE Trans. Image Process. Stan Z. Li
2000	J	`jnl`	Roof-edge preserving image smoothing based on MRFs. IEEE Trans. Image Process. Stan Z. Li
2000	Misc	`conf`	Rule Mining via Learning Belief Networks. Artificial Intelligence and Soft Computing Zonglin Zhou, Huan Liu, Stan Z. Li
2000	J	`jnl`	Toward global solution to MAP image restoration and segmentation: using common structure of local minima. Pattern Recognit. Stan Z. Li
1999	J	`jnl`	Face recognition using the nearest feature line method. IEEE Trans. Neural Networks Stan Z. Li, Juwei Lu
1999	A*	`conf`	Modeling Bayesian Estimation for Deformable Contours. ICCV Stan Z. Li, Juwei Lu
1998	—	`conf`	A Two-Stage Probabilistic Approach for Object Recognition. ECCV (2) Stan Z. Li, Joachim Hornegger
1998	J	`jnl`	Close-Form Solution and Parameter Selection for Convex Minimization-Based Edge-Preserving Smoothing. IEEE Trans. Pattern Anal. Mach. Intell. Stan Z. Li
1998	—	`conf`	Edge-Preserving Smoothing by Convex Minimization. ACCV (1) Stan Z. Li, Y. H. Huang, J. S. Fu, Kap Luk Chan
1998	A*	`conf`	Face Recognition Based on Nearest Linear Combinations. CVPR Stan Z. Li
1998	B	`conf`	Generalizing Capacity of Face Database for Face Recognition. FG Stan Z. Li, Juwei Lu
1998	B	`conf`	Hierarchical linear combinations for face recognition. ICPR Stan Z. Li, Juwei Lu, Kap Luk Chan, Jun Liu, Lei Wang
1998	J	`jnl`	MAP image restoration and segmentation by constrained optimization. IEEE Trans. Image Process. Stan Z. Li
1998	—	`conf`	Model-Based Active Object Recognition Using MRF Matching and Sensor Planning. ACCV (2) Tianrong Liu, Kap Luk Chan, Stan Z. Li
1998	J	`jnl`	Relaxation labeling using augmented lagrange-hopfield method. Pattern Recognit. Stan Z. Li, William Y. C. Soh, Eam Khwang Teoh
1998	J	`jnl`	Robust Estimation of Rotation Angles from Image Sequences Using the Annealing M-Estimator. J. Math. Imaging Vis. Stan Z. Li, Han Wang, William Y. C. Soh
1998	B	`conf`	Texture classification using wavelet decomposition with Markov random field models. ICPR Lei Wang, Jun Liu, Stan Z. Li
1997	—	`conf`	Document segmentation and classification with top-down approach. KES (1) Han Wang, Stan Z. Li, S. Ragupathi
1997	J	`jnl`	Invariant representation, matching and pose estimation of 3D space curves under similarity transformations. Pattern Recognit. Stan Z. Li
1997	J	`jnl`	Minimization of MRF Energy with Relaxation Labeling. J. Math. Imaging Vis. Stan Z. Li, Han Wang, Kap Luk Chan, Maria Petrou
1997	J	`jnl`	Parameter Estimation for Optimal Object Recognition: Theory and Application. Int. J. Comput. Vis. Stan Z. Li
1997	—	`conf`	Toward Global Solution to MAP Image Estimation: Using Common Structure of Local Solutions. EMMCVPR Stan Z. Li
1996	Misc	`conf`	A Fast and Robust Approach for Document Segmentation and Classification. MVA Han Wang, Stan Z. Li, S. Ragupathi
1996	A*	`conf`	Bayesian image restoration and segmentation by constrained optimizatio. CVPR Stan Z. Li, Kap Luk Chan, Han Wang
1996	J	`jnl`	Improving convergence and solution quality of Hopfield-type neural networks with augmented Lagrange multipliers. IEEE Trans. Neural Networks Stan Z. Li
1996	B	`ed.`	Recent Developments in Computer Vision, Second Asian Conference on Computer Vision, ACCV '95, Singapore, December 5-8, 1995, Invited Session Papers ACCV Stan Z. Li, Dinesh P. Mital, Eam Khwang Teoh, Han Wang
1996	J	`jnl`	Robustizing robust M-estimation using deterministic annealing. Pattern Recognit. Stan Z. Li
1995	J	`jnl`	Adaptive sampling and mesh generation. Comput. Aided Des. Stan Z. Li
1995	B	`conf`	Convex MRF potential functions. ICIP Stan Z. Li, Y. H. Huang, J. S. Fu
1995	J	`jnl`	Discontinuous MRF prior and robust statistics: a comparative study. Image Vis. Comput. Stan Z. Li
1995	—	`book`	Markov Random Field Modeling in Computer Vision. Stan Z. Li
1995	J	`jnl`	On Discontinuity-Adaptive Smoothness Priors in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. Stan Z. Li
1995	B	`conf`	Parallel Distributed Relaxation Labeling. ACCV Stan Z. Li
1994	A*	`conf`	A Markov random field model for object matching under contextual constraints. CVPR Stan Z. Li
1994	Misc	`conf`	A Statistically Unbiased Method for Computing the Rotation Angles from Image Sequences. MVA Han Wang, Stan Z. Li, Eam Khwang Teoh
1994	—	`conf`	Markov Random Field Models in Computer Vision. ECCV (2) Stan Z. Li
1994	—	`conf`	Relaxation labeling of Markov random fields. ICPR (1) Stan Z. Li, Han Wang, Maria Petrou
1994	—	`conf`	Solving the Bas-relief Ambiguity. ICIP (2) Han Wang, Stan Z. Li
1994	Misc	`conf`	Visual Control of a Robot Head. MVA Han Wang, Stan Z. Li, Eam Khwang Teoh
1992	A*	`conf`	Matching and Recognition of Road Networks from Aerial Images. ECCV Stan Z. Li, Josef Kittler, Maria Petrou
1992	J	`jnl`	Matching: Invariant to translations, rotations and scale changes. Pattern Recognit. Stan Z. Li
1992	J	`jnl`	Object recognition from range data prior to segmentation. Image Vis. Comput. Stan Z. Li
1992	J	`jnl`	Toward 3D vision from range images: An optimization framework and parallel networks. CVGIP Image Underst. Stan Z. Li
1990	J	`jnl`	Invariant surface segmentation through energy minimization with discontinuities. Int. J. Comput. Vis. Stan Z. Li
1990	A*	`conf`	Reconstruction without discontinuities. ICCV Stan Z. Li
1989	C	`conf`	3D Object Recognition from Range Images: Computational Framwork and Neural Networks. IAS Stan Z. Li