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李子青
Person information
- unicode name: 李子青
- affiliation: Chinese Academy of Sciences, Institute of Automation, Beijing, China
- affiliation (2000 - 2004): Microsoft Research Asia, Beijing, China
- affiliation (former): Nanyang Technological University, Singapore
- affiliation (PhD): University of Surrey, Guilford, UK
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2020 – today
- 2025
[j133]Zelin Zang
, Yongjie Xu, Chenrui Duan, Yue Yuan, Yue Shen, Jinlin Wu, Zhen Lei, Stan Z. Li:
A Review of BioTree Construction in the Context of Information Fusion: Priors, Methods, Applications and Trends. Inf. Fusion 121: 103108 (2025)- [j132]Haitao Lin, Cheng Tan, Lirong Wu, Zicheng Liu, Zhangyang Gao, Stan Z. Li:
An Extensive Survey With Empirical Studies on Deep Temporal Point Process. IEEE Trans. Knowl. Data Eng. 37(4): 1599-1619 (2025) - [j131]Hao Tan, Zichang Tan, Dunfang Weng, Ajian Liu, Jun Wan, Zhen Lei, Stan Z. Li:
Vision Transformer With Relation Exploration for Pedestrian Attribute Recognition. IEEE Trans. Multim. 27: 198-208 (2025) - [j130]Siyuan Li, Zicheng Liu, Zelin Zang, Di Wu, Zhiyuan Chen, Stan Z. Li:
GenURL: A General Framework for Unsupervised Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 36(1): 286-298 (2025) - [c369]Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li:
FoldToken: Learning Protein Language via Vector Quantization and Beyond. AAAI 2025: 219-227 - [c368]Cheng Tan, Yijie Zhang, Zhangyang Gao, Yufei Huang, Haitao Lin, Lirong Wu, Fandi Wu, Mathieu Blanchette, Stan Z. Li:
dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen. AAAI 2025: 782-790 - [c367]Fang Wu, Bozhen Hu, Stan Z. Li:
Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling. AAAI 2025: 877-885 - [c366]Lirong Wu, Haitao Lin, Yufei Huang, Zhangyang Gao, Cheng Tan, Yunfan Liu, Tailin Wu, Stan Z. Li:
Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization. AAAI 2025: 895-904 - [c365]Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Cheng Tan, Zicheng Liu, Zhifeng Gao, Stan Z. Li:
CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph. ICLR 2025 - [c364]Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Guojiang Zhao, Zhifeng Gao, Stan Z. Li:
A Simple yet Effective ΔΔG Predictor is An Unsupervised Antibody Optimizer and Explainer. ICLR 2025 - [i208]Lirong Wu, Haitao Lin, Yufei Huang, Zhangyang Gao, Cheng Tan, Yunfan Liu, Tailin Wu, Stan Z. Li:
Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization. CoRR abs/2501.00013 (2025) - [i207]Mengdi Liu, Zhangyang Gao, Hong Chang, Stan Z. Li, Shiguang Shan, Xilin Chen:
G2PDiffusion: Genotype-to-Phenotype Prediction with Diffusion Models. CoRR abs/2502.04684 (2025) - [i206]Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Guojiang Zhao, Zhifeng Gao, Stan Z. Li:
A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer. CoRR abs/2502.06913 (2025) - [i205]Zicheng Liu, Siyuan Li, Zhiyuan Chen, Lei Xin, Fang Wu, Chang Yu, Qirong Yang, Yucheng Guo, Yujie Yang, Stan Z. Li:
Life-Code: Central Dogma Modeling with Multi-Omics Sequence Unification. CoRR abs/2502.07299 (2025) - [i204]Cheng Tan, Yijie Zhang, Zhangyang Gao, Yufei Huang, Haitao Lin, Lirong Wu, Fandi Wu, Mathieu Blanchette, Stan Z. Li:
dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen. CoRR abs/2503.01910 (2025) - 2024
- [j129]Jingxuan Wei, Cheng Tan, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li:
Enhancing human-like multimodal reasoning: a new challenging dataset and comprehensive framework. Neural Comput. Appl. 36(33): 20849-20861 (2024) - [j128]Hao Fang, Ajian Liu, Jun Wan, Sergio Escalera, Chenxu Zhao, Xu Zhang, Stan Z. Li, Zhen Lei:
Surveillance Face Anti-Spoofing. IEEE Trans. Inf. Forensics Secur. 19: 1535-1546 (2024) - [j127]Jun Xia, Haitao Lin, Yongjie Xu, Cheng Tan, Lirong Wu, Siyuan Li, Stan Z. Li:
GNN Cleaner: Label Cleaner for Graph Structured Data. IEEE Trans. Knowl. Data Eng. 36(2): 640-651 (2024) - [j126]Hanqun Cao, Cheng Tan, Zhangyang Gao, Yilun Xu, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li:
A Survey on Generative Diffusion Models. IEEE Trans. Knowl. Data Eng. 36(7): 2814-2830 (2024) - [j125]Lirong Wu, Haitao Lin, Zhangyang Gao, Guojiang Zhao, Stan Z. Li:
A Teacher-Free Graph Knowledge Distillation Framework With Dual Self-Distillation. IEEE Trans. Knowl. Data Eng. 36(9): 4375-4385 (2024) - [j124]Fang Wu, Siyuan Li, Stan Z. Li:
Discovering the Representation Bottleneck of Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 36(12): 7998-8008 (2024) - [j123]Lirong Wu, Haitao Lin, Bozhen Hu, Cheng Tan, Zhangyang Gao, Zicheng Liu, Stan Z. Li:
Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8497-8509 (2024) - [j122]Lirong Wu, Haitao Lin, Zihan Liu, Zicheng Liu, Yufei Huang, Stan Z. Li:
Homophily-Enhanced Self-Supervision for Graph Structure Learning: Insights and Directions. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12358-12372 (2024) - [j121]Zelin Zang, Shenghui Cheng, Hanchen Xia, Liangyu Li, Yaoting Sun, Yongjie Xu, Lei Shang, Baigui Sun, Stan Z. Li:
DMT-EV: An Explainable Deep Network for Dimension Reduction. IEEE Trans. Vis. Comput. Graph. 30(3): 1710-1727 (2024) - [c363]Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li:
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. AAAI 2024: 310-319 - [c362]Xuesong Nie, Yunfeng Yan, Siyuan Li, Cheng Tan, Xi Chen, Haoyuan Jin, Zhihang Zhu, Stan Z. Li, Donglian Qi:
Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations. AAAI 2024: 4334-4342 - [c361]Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li:
Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction. AAAI 2024: 12662-12670 - [c360]Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li:
Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer. AAAI 2024: 15222-15230 - [c359]Zelin Zang, Liangyu Li, Yongjie Xu, Jiahao Li, Chenrui Duan, Yi Sun, Zhen Lei, Stan Z. Li:
MuST: Maximizing the Latent Capacity of Spatial Transcriptomics Data with Multi-modality Structure Transformation. BIBM 2024: 1321-1326 - [c358]Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Stan Z. Li:
Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation. CIKM 2024: 2554-2563 - [c357]Zhe Li, Laurence T. Yang, Bocheng Ren, Xin Nie, Zhangyang Gao, Cheng Tan, Stan Z. Li:
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning. CVPR 2024: 11704-11714 - [c356]Zhe Li, Zhangyang Gao, Cheng Tan, Bocheng Ren, Laurence T. Yang, Stan Z. Li:
General Point Model Pretraining with Autoencoding and Autoregressive. CVPR 2024: 20954-20964 - [c355]Cheng Tan, Jingxuan Wei, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Ruifeng Guo, Bihui Yu, Stan Z. Li:
Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-consistency Training. ECCV (40) 2024: 305-322 - [c354]Fang Wu, Stan Z. Li:
InsertGNN: A Hierarchical Graph Neural Network for the TOEFL Sentence Insertion Problem. EMNLP (Findings) 2024: 173-180 - [c353]Bozhen Hu, Zelin Zang, Cheng Tan, Stan Z. Li:
Deep Manifold Transformation for Protein Representation Learning. ICASSP 2024: 1801-1805 - [c352]Jun Xia, Shaorong Chen, Yue Liu, Zhangyang Gao, Jiangbin Zheng, Xihong Yang, Stan Z. Li:
DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning. ICDE 2024: 2876-2888 - [c351]Cheng Tan, Yijie Zhang, Zhangyang Gao, Bozhen Hu, Siyuan Li, Zicheng Liu, Stan Z. Li:
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design. ICLR 2024 - [c350]Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li:
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks. ICLR 2024 - [c349]Zhangyang Gao, Cheng Tan, Xingran Chen, Yijie Zhang, Jun Xia, Siyuan Li, Stan Z. Li:
KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement. ICLR 2024 - [c348]Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z. Li:
SemiReward: A General Reward Model for Semi-supervised Learning. ICLR 2024 - [c347]Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li:
MogaNet: Multi-order Gated Aggregation Network. ICLR 2024 - [c346]Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V. Chawla, Stan Z. Li:
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding. ICLR 2024 - [c345]Jiangbin Zheng, Stan Z. Li:
Progressive Multi-Modality Learning for Inverse Protein Folding. ICME 2024: 1-6 - [c344]Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li:
Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge. ICML 2024 - [c343]Zicheng Liu, Siyuan Li, Li Wang, Zedong Wang, Yunfan Liu, Stan Z. Li:
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences. ICML 2024 - [c342]Cheng Tan, Zhangyang Gao, Hanqun Cao, Xingran Chen, Ge Wang, Lirong Wu, Jun Xia, Jiangbin Zheng, Stan Z. Li:
Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective. ICML 2024 - [c341]Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li:
A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer. ICML 2024 - [c340]Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li:
VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling. ICML 2024 - [c339]Haitao Lin, Lirong Wu, Yufei Huang, Yunfan Liu, Odin Zhang, Yuanqing Zhou, Rui Sun, Stan Z. Li:
GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation. ICML 2024 - [c338]Haitao Lin, Odin Zhang, Huifeng Zhao, Dejun Jiang, Lirong Wu, Zicheng Liu, Yufei Huang, Stan Z. Li:
PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching. ICML 2024 - [c337]Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V. Chawla, Stan Z. Li:
Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning. ICML 2024 - [c336]Fang Wu, Stan Z. Li:
Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces. ICML 2024 - [c335]Zelin Zang, Hao Luo, Kai Wang, Panpan Zhang, Fan Wang, Stan Z. Li, Yang You:
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation. ICML 2024 - [c334]Jiangbin Zheng, Stan Z. Li:
CCPL: Cross-Modal Contrastive Protein Learning. ICPR (27) 2024: 22-38 - [c333]Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li:
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. IJCAI 2024: 4614-4622 - [c332]Jiangbin Zheng, Han Zhang, Qianqing Xu, An-Ping Zeng, Stan Z. Li:
MetaEnzyme: Meta Pan-Enzyme Learning for Task-Adaptive Redesign. ACM Multimedia 2024: 1721-1730 - [c331]Jun Xia, Shaorong Chen, Jingbo Zhou, Xiaojun Shan, Wenjie Du, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jiangbin Zheng, Stan Z. Li:
AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases. NeurIPS 2024 - [c330]Fang Wu, Shuting Jin, Siyuan Li, Stan Z. Li:
Instructor-inspired Machine Learning for Robust Molecular Property Prediction. NeurIPS 2024 - [c329]Chenrui Duan, Zelin Zang, Siyuan Li, Yongjie Xu, Stan Z. Li:
PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation. NeurIPS 2024 - [c328]Zhangyang Gao, Jue Wang, Cheng Tan, Lirong Wu, Yufei Huang, Siyuan Li, Zhirui Ye, Stan Z. Li:
UniIF: Unified Molecule Inverse Folding. NeurIPS 2024 - [c327]Bozhen Hu, Cheng Tan, Jun Xia, Yue Liu, Lirong Wu, Jiangbin Zheng, Yongjie Xu, Yufei Huang, Stan Z. Li:
Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure. NeurIPS 2024 - [c326]Bozhen Hu, Cheng Tan, Yongjie Xu, Zhangyang Gao, Jun Xia, Lirong Wu, Stan Z. Li:
ProtGO: Function-Guided Protein Modeling for Unified Representation Learning. NeurIPS 2024 - [c325]Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li:
FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning. NeurIPS 2024 - [c324]Jingbo Zhou, Shaorong Chen, Jun Xia, Sizhe Liu, Tianze Ling, Wenjie Du, Yue Liu, Jianwei Yin, Stan Z. Li:
NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics. NeurIPS 2024 - [c323]Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Jun Xia, Zhizhi Yu, Zelin Zang, Di Jin, Carl Yang, Rui Zhang, Stan Z. Li:
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module. NeurIPS 2024 - [c322]Jingxuan Wei, Cheng Tan, Zhangyang Gao, Linzhuang Sun, Bihui Yu, Ruifeng Guo, Stan Z. Li:
Interpretable and Generalizable Spatiotemporal Predictive Learning with Disentangled Consistency. ECML/PKDD (3) 2024: 3-20 - [i203]Siyuan Li, Luyuan Zhang, Zedong Wang, Di Wu, Lirong Wu, Zicheng Liu, Jun Xia, Cheng Tan, Yang Liu, Baigui Sun, Stan Z. Li:
Masked Modeling for Self-supervised Representation Learning on Vision and Beyond. CoRR abs/2401.00897 (2024) - [i202]Ge Wang, Zelin Zang, Jiangbin Zheng, Jun Xia, Stan Z. Li:
Graph-level Protein Representation Learning by Structure Knowledge Refinement. CoRR abs/2401.02713 (2024) - [i201]Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li:
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding. CoRR abs/2401.06727 (2024) - [i200]Zelin Zang, Liangyu Li, Yongjie Xu, Chenrui Duan, Kai Wang, Yang You, Yi Sun, Stan Z. Li:
Must: Maximizing Latent Capacity of Spatial Transcriptomics Data. CoRR abs/2401.07543 (2024) - [i199]Zhe Li, Laurence T. Yang, Bocheng Ren, Xin Nie, Zhangyang Gao, Cheng Tan, Stan Z. Li:
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning. CoRR abs/2402.02045 (2024) - [i198]Zhe Li, Zhangyang Gao, Cheng Tan, Stan Z. Li, Laurence T. Yang:
DCS-Net: Pioneering Leakage-Free Point Cloud Pretraining Framework with Global Insights. CoRR abs/2402.02088 (2024) - [i197]Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li:
A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer. CoRR abs/2402.02464 (2024) - [i196]Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li:
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. CoRR abs/2402.08198 (2024) - [i195]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:
Switch EMA: A Free Lunch for Better Flatness and Sharpness. CoRR abs/2402.09240 (2024) - [i194]Bozhen Hu, Zelin Zang, Cheng Tan, Stan Z. Li:
Deep Manifold Transformation for Protein Representation Learning. CoRR abs/2402.09416 (2024) - [i193]Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li:
Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge. CoRR abs/2402.11459 (2024) - [i192]Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V. Chawla, Stan Z. Li:
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding. CoRR abs/2402.14391 (2024) - [i191]Chenrui Duan, Zelin Zang, Yongjie Xu, Hang He, Zihan Liu, Zijia Song, Ju-Sheng Zheng, Stan Z. Li:
FGBERT: Function-Driven Pre-trained Gene Language Model for Metagenomics. CoRR abs/2402.16901 (2024) - [i190]Rui Sun, Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li:
Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions. CoRR abs/2403.00875 (2024) - [i189]Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li:
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks. CoRR abs/2403.01400 (2024) - [i188]Lirong Wu, Haitao Lin, Zhangyang Gao, Guojiang Zhao, Stan Z. Li:
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation. CoRR abs/2403.03483 (2024) - [i187]Jun Xia, Shaorong Chen, Jingbo Zhou, Tianze Ling, Wenjie Du, Sizhe Liu, Stan Z. Li:
AdaNovo: Adaptive \emph{De Novo} Peptide Sequencing with Conditional Mutual Information. CoRR abs/2403.07013 (2024) - [i186]Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li:
FoldToken: Learning Protein Language via Vector Quantization and Beyond. CoRR abs/2403.09673 (2024) - [i185]Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li:
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. CoRR abs/2404.11163 (2024) - [i184]Haitao Lin, Odin Zhang, Huifeng Zhao, Dejun Jiang, Lirong Wu, Zicheng Liu, Yufei Huang, Stan Z. Li:
PPFlow: Target-aware Peptide Design with Torsional Flow Matching. CoRR abs/2405.06642 (2024) - [i183]Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V. Chawla, Stan Z. Li:
Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning. CoRR abs/2405.10348 (2024) - [i182]Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li:
VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling. CoRR abs/2405.10812 (2024) - [i181]Zhangyang Gao, Jue Wang, Cheng Tan, Lirong Wu, Yufei Huang, Siyuan Li, Zhirui Ye, Stan Z. Li:
UniIF: Unified Molecule Inverse Folding. CoRR abs/2405.18968 (2024) - [i180]Cheng Tan, Jingxuan Wei, Linzhuang Sun, Zhangyang Gao, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li:
Retrieval Meets Reasoning: Even High-school Textbook Knowledge Benefits Multimodal Reasoning. CoRR abs/2405.20834 (2024) - [i179]Zicheng Liu, Jiahui Li, Siyuan Li, Zelin Zang, Cheng Tan, Yufei Huang, Yajing Bai, Stan Z. Li:
GenBench: A Benchmarking Suite for Systematic Evaluation of Genomic Foundation Models. CoRR abs/2406.01627 (2024) - [i178]Cheng Tan, Dongxin Lyu, Siyuan Li, Zhangyang Gao, Jingxuan Wei, Siqi Ma, Zicheng Liu, Stan Z. Li:
Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions. CoRR abs/2406.05688 (2024) - [i177]Zijia Song, Zelin Zang, Yelin Wang, Guozheng Yang, Jiangbin Zheng, Kaicheng yu, Wanyu Chen, Stan Z. Li:
Gentle-CLIP: Exploring Aligned Semantic In Low-Quality Multimodal Data With Soft Alignment. CoRR abs/2406.05766 (2024) - [i176]Zicheng Liu, Siyuan Li, Li Wang, Zedong Wang, Yunfan Liu, Stan Z. Li:
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences. CoRR abs/2406.08128 (2024) - [i175]Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Zicheng Liu, Siyuan Li, Cheng Tan, Zhifeng Gao, Stan Z. Li:
CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph. CoRR abs/2406.10840 (2024) - [i174]Jingbo Zhou, Shaorong Chen, Jun Xia, Sizhe Liu, Tianze Ling, Wenjie Du, Yue Liu, Jianwei Yin, Stan Z. Li:
NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics. CoRR abs/2406.11906 (2024) - [i173]Zhangyang Gao, Cheng Tan, Stan Z. Li:
FoldToken2: Learning compact, invariant and generative protein structure language. CoRR abs/2407.00050 (2024) - [i172]Xinna Lin, Siqi Ma, Junjie Shan, Xiaojing Zhang, Shell Xu Hu, Tiannan Guo, Stan Z. Li, Kaicheng Yu:
BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science. CoRR abs/2407.00466 (2024) - [i171]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:
The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges. CoRR abs/2407.09618 (2024) - [i170]Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Stan Z. Li:
Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation. CoRR abs/2407.14768 (2024) - [i169]Hao Tan, Zichang Tan, Jun Li, Jun Wan, Zhen Lei, Stan Z. Li:
SSPA: Split-and-Synthesize Prompting with Gated Alignments for Multi-Label Image Recognition. CoRR abs/2407.20920 (2024) - [i168]Jiangbin Zheng, Han Zhang, Qianqing Xu, An-Ping Zeng, Stan Z. Li:
MetaEnzyme: Meta Pan-Enzyme Learning for Task-Adaptive Redesign. CoRR abs/2408.10247 (2024) - [i167]Xin Jin, Hongyu Zhu, Siyuan Li, Zedong Wang, Zicheng Liu, Chang Yu, Huafeng Qin, Stan Z. Li:
A Survey on Mixup Augmentations and Beyond. CoRR abs/2409.05202 (2024) - [i166]Lirong Wu, Haitao Lin, Guojiang Zhao, Cheng Tan, Stan Z. Li:
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting. CoRR abs/2409.05573 (2024) - [i165]Zelin Zang, Yongjie Xu, Chenrui Duan, Jinlin Wu, Stan Z. Li, Zhen Lei:
A Review of Artificial Intelligence based Biological-Tree Construction: Priorities, Methods, Applications and Trends. CoRR abs/2410.04815 (2024) - [i164]Siyuan Li, Juanxi Tian, Zedong Wang, Luyuan Zhang, Zicheng Liu, Weiyang Jin, Yang Liu, Baigui Sun, Stan Z. Li:
Unveiling the Backbone-Optimizer Coupling Bias in Visual Representation Learning. CoRR abs/2410.06373 (2024) - [i163]Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li:
FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning. CoRR abs/2410.15010 (2024) - [i162]Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Lirong Wu, Siyuan Li, Yufei Huang, Jun Xia, Bozhen Hu, Stan Z. Li:
MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction. CoRR abs/2411.01856 (2024) - [i161]Yang Hu, Xiao Wang, Lirong Wu, Huatian Zhang, Stan Z. Li, Sheng Wang, Tianlong Chen:
FM-TS: Flow Matching for Time Series Generation. CoRR abs/2411.07506 (2024) - [i160]Xiangyu Zhu, Chang Yu, Jiankuo Zhao, Zhaoxiang Zhang, Stan Z. Li, Zhen Lei:
Revisiting Marr in Face: The Building of 2D-2.5D-3D Representations in Deep Neural Networks. CoRR abs/2411.16148 (2024) - [i159]Jiangbin Zheng, Ge Wang, Han Zhang, Stan Z. Li:
Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design. CoRR abs/2411.17795 (2024) - [i158]Jiangbin Zheng, Qianhui Xu, Ruichen Xia, Stan Z. Li:
DapPep: Domain Adaptive Peptide-agnostic Learning for Universal T-cell Receptor-antigen Binding Affinity Prediction. CoRR abs/2411.17798 (2024) - [i157]Haoyuan Zhang, Xiangyu Zhu, Li Gao, Jiawei Pan, Kai Pang, Guoying Zhao, Stan Z. Li, Zhen Lei:
Concept Discovery in Deep Neural Networks for Explainable Face Anti-Spoofing. CoRR abs/2412.17541 (2024) - [i156]Chenrui Duan, Zelin Zang, Siyuan Li, Yongjie Xu, Stan Z. Li:
PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation. CoRR abs/2412.18827 (2024) - 2023
- [j120]Zihan Liu, Jiaqi Wang, Yun Luo, Shuang Zhao, Wenbin Li, Stan Z. Li:
Efficient prediction of peptide self-assembly through sequential and graphical encoding. Briefings Bioinform. 24(6) (2023) - [j119]Jinlin Wu, Yuxin Yang, Zhen Lei, Yang Yang, Shukai Chen, Stan Z. Li:
Camera-aware representation learning for person re-identification. Neurocomputing 518: 155-164 (2023) - [j118]Zelin Zang, Yongjie Xu, Linyan Lu, Yulan Geng, Senqiao Yang, Stan Z. Li:
UDRN: Unified Dimensional Reduction Neural Network for feature selection and feature projection. Neural Networks 161: 626-637 (2023) - [j117]Xiangyu Zhu, Chang Yu, Di Huang, Zhen Lei, Hao Wang, Stan Z. Li:
Beyond 3DMM: Learning to Capture High-Fidelity 3D Face Shape. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1442-1457 (2023) - [j116]Xiangyu Zhu, Hongyan Fei, Bin Zhang, Tianshuo Zhang, Xiaoyu Zhang, Stan Z. Li, Zhen Lei:
Face Forgery Detection by 3D Decomposition and Composition Search. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8342-8357 (2023) - [j115]Fang Wu, Nicolas Courty, Shuting Jin, Stan Z. Li:
Improving molecular representation learning with metric learning-enhanced optimal transport. Patterns 4(4): 100714 (2023) - [j114]Xiangyu Zhu, Tingting Liao, Xiaomei Zhang, Jiangjing Lyu, Zhiwen Chen, Yunfeng Wang, Kan Guo, Qiong Cao, Stan Z. Li, Zhen Lei:
MVP-Human Dataset for 3-D Clothed Human Avatar Reconstruction From Multiple Frames. IEEE Trans. Biom. Behav. Identity Sci. 5(4): 464-475 (2023) - [j113]Ajian Liu, Zichang Tan, Zitong Yu, Chenxu Zhao, Jun Wan, Yanyan Liang, Zhen Lei, Du Zhang, Stan Z. Li, Guodong Guo:
FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing. IEEE Trans. Inf. Forensics Secur. 18: 4775-4786 (2023) - [j112]Lirong Wu, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li:
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive. IEEE Trans. Knowl. Data Eng. 35(4): 4216-4235 (2023) - [j111]Lirong Wu, Lifan Yuan, Guojiang Zhao, Haitao Lin, Stan Z. Li:
Deep Clustering and Visualization for End-to-End High-Dimensional Data Analysis. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8543-8554 (2023) - [c321]Fang Wu, Dragomir Radev, Stan Z. Li:
Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs. AAAI 2023: 5312-5320 - [c320]Fang Wu, Stan Z. Li:
DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations. AAAI 2023: 5321-5329 - [c319]Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li:
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework. AAAI 2023: 10351-10360 - [c318]Cheng Tan, Zhangyang Gao, Lirong Wu, Yongjie Xu, Jun Xia, Siyuan Li, Stan Z. Li:
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. CVPR 2023: 18770-18782 - [c317]Jiangbin Zheng, Yile Wang, Cheng Tan, Siyuan Li, Ge Wang, Jun Xia, Yidong Chen, Stan Z. Li:
CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment. CVPR 2023: 23141-23150 - [c316]Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li:
Deep Manifold Graph Auto-Encoder For Attributed Graph Embedding. ICASSP 2023: 1-5 - [c315]Cheng Tan, Zhangyang Gao, Jun Xia, Bozhen Hu, Stan Z. Li:
Global-Context Aware Generative Protein Design. ICASSP 2023: 1-5 - [c314]Jun Xia, Ge Wang, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Yongjie Xu, Stan Z. Li:
Wordreg: Mitigating the Gap between Training and Inference with Worst-Case Drop Regularization. ICASSP 2023: 1-5 - [c313]Zelin Zang, Lei Shang, Senqiao Yang, Fei Wang, Baigui Sun, Xuansong Xie, Stan Z. Li:
Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier. ICCV 2023: 11824-11833 - [c312]Zhangyang Gao, Cheng Tan, Stan Z. Li:
PiFold: Toward effective and efficient protein inverse folding. ICLR 2023 - [c311]Jun Xia, Chengshuai Zhao, Bozhen Hu, Zhangyang Gao, Cheng Tan, Yue Liu, Siyuan Li, Stan Z. Li:
Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules. ICLR 2023 - [c310]Tianyi Huang, Shenghui Cheng, Stan Z. Li, Zhengjun Zhang:
High-dimensional Clustering onto Hamiltonian Cycle. ICML 2023: 13791-13813 - [c309]Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z. Li:
Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. ICML 2023: 20149-20167 - [c308]Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li:
Dink-Net: Neural Clustering on Large Graphs. ICML 2023: 21794-21812 - [c307]Fang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z. Li:
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching. ICML 2023: 37511-37523 - [c306]Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li:
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. ICML 2023: 37571-37581 - [c305]Jun Xia, Yanqiao Zhu, Yuanqi Du, Stan Z. Li:
A Systematic Survey of Chemical Pre-trained Models. IJCAI 2023: 6787-6795 - [c304]Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu:
CONVERT: Contrastive Graph Clustering with Reliable Augmentation. ACM Multimedia 2023: 319-327 - [c303]Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li:
Reinforcement Graph Clustering with Unknown Cluster Number. ACM Multimedia 2023: 3528-3537 - [c302]Zicheng Liu, Siyuan Li, Ge Wang, Lirong Wu, Cheng Tan, Stan Z. Li:
Harnessing Hard Mixed Samples with Decoupled Regularizer. NeurIPS 2023 - [c301]Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li:
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning. NeurIPS 2023 - [c300]Zhangyang Gao, Cheng Tan, Yijie Zhang, Xingran Chen, Lirong Wu, Stan Z. Li:
ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics. NeurIPS 2023 - [c299]Haitao Lin, Yufei Huang, Odin Zhang, Yunfan Liu, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li:
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration. NeurIPS 2023 - [c298]Fang Wu, Stan Z. Li:
A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design. NeurIPS 2023 - [c297]Jun Xia, Lecheng Zhang, Xiao Zhu, Yue Liu, Zhangyang Gao, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Siyuan Li, Stan Z. Li:
Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions. NeurIPS 2023 - [c296]Lirong Wu, Cheng Tan, Zihan Liu, Zhangyang Gao, Haitao Lin, Stan Z. Li:
Learning to Augment Graph Structure for both Homophily and Heterophily Graphs. ECML/PKDD (3) 2023: 3-18 - [c295]Zhangyang Gao, Cheng Tan, Jun Xia, Stan Z. Li:
Co-supervised Pre-training of Pocket and Ligand. ECML/PKDD (1) 2023: 405-421 - [c294]Cheng Tan, Zhangyang Gao, Stan Z. Li:
Target-Aware Molecular Graph Generation. ECML/PKDD (6) 2023: 410-427 - [c293]Yun Luo, Zihan Liu, Stan Z. Li, Yue Zhang:
Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions. WWW 2023: 1584-1593 - [i155]Lirong Wu, Yufei Huang, Haitao Lin, Stan Z. Li:
A Survey on Protein Representation Learning: Retrospect and Prospect. CoRR abs/2301.00813 (2023) - [i154]Hao Fang, Ajian Liu, Jun Wan, Sergio Escalera, Chenxu Zhao, Xu Zhang, Stan Z. Li, Zhen Lei:
Surveillance Face Anti-spoofing. CoRR abs/2301.00975 (2023) - [i153]Fang Wu, Siyuan Li, Lirong Wu, Dragomir Radev, Yinghui Jiang, Xurui Jin, Zhangming Niu, Stan Z. Li:
Explaining Graph Neural Networks via Non-parametric Subgraph Matching. CoRR abs/2301.02780 (2023) - [i152]Zhangyang Gao, Cheng Tan, Stan Z. Li:
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraints. CoRR abs/2301.09642 (2023) - [i151]Cheng Tan, Zhangyang Gao, Stan Z. Li:
Generative Tertiary Structure-based RNA Design. CoRR abs/2301.10774 (2023) - [i150]Yun Luo, Zihan Liu, Stan Z. Li, Yue Zhang:
Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions. CoRR abs/2302.03950 (2023) - [i149]Zhangyang Gao, Yuqi Hu, Cheng Tan, Stan Z. Li:
PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix Embedding. CoRR abs/2302.07120 (2023) - [i148]Yufei Huang, Lirong Wu, Haitao Lin, Jiangbin Zheng, Ge Wang, Stan Z. Li:
Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy. CoRR abs/2302.10888 (2023) - [i147]Jiangbin Zheng, Yile Wang, Cheng Tan, Siyuan Li, Ge Wang, Jun Xia, Yidong Chen, Stan Z. Li:
CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment. CoRR abs/2303.05725 (2023) - [i146]Tianyi Huang, Stan Z. Li, Xin Yuan, Shenghui Cheng:
Roadmap towards Meta-being. CoRR abs/2303.06795 (2023) - [i145]Jiangbin Zheng, Ge Wang, Yufei Huang, Bozhen Hu, Siyuan Li, Cheng Tan, Xinwen Fan, Stan Z. Li:
Lightweight Contrastive Protein Structure-Sequence Transformation. CoRR abs/2303.11783 (2023) - [i144]Zihan Liu, Yun Luo, Lirong Wu, Zicheng Liu, Stan Z. Li:
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias. CoRR abs/2304.00010 (2023) - [i143]Fang Wu, Huiling Qin, Siyuan Li, Stan Z. Li, Xianyuan Zhan, Jinbo Xu:
InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems. CoRR abs/2304.03906 (2023) - [i142]Tianyi Huang, Shenghui Cheng, Stan Z. Li, Zhengjun Zhang:
High-dimensional Clustering onto Hamiltonian Cycle. CoRR abs/2304.14531 (2023) - [i141]Ajian Liu, Zichang Tan, Zitong Yu, Chenxu Zhao, Jun Wan, Yanyan Liang, Zhen Lei, Du Zhang, Stan Z. Li, Guodong Guo:
FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing. CoRR abs/2305.03277 (2023) - [i140]Cheng Tan, Zhangyang Gao, Stan Z. Li:
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer. CoRR abs/2305.09480 (2023) - [i139]Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li:
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework. CoRR abs/2305.10758 (2023) - [i138]Zhangyang Gao, Cheng Tan, Stan Z. Li:
Knowledge-Design: Pushing the Limit of Protein Design via Knowledge Refinement. CoRR abs/2305.15151 (2023) - [i137]Zhangyang Gao, Xingran Chen, Cheng Tan, Stan Z. Li:
MotifRetro: Exploring the Combinability-Consistency Trade-offs in retrosynthesis via Dynamic Motif Editing. CoRR abs/2305.15153 (2023) - [i136]Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li:
Dink-Net: Neural Clustering on Large Graphs. CoRR abs/2305.18405 (2023) - [i135]Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li:
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. CoRR abs/2306.05628 (2023) - [i134]Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li:
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning. CoRR abs/2306.11249 (2023) - [i133]Haitao Lin, Yufei Huang, Haotian Zhang, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li:
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration. CoRR abs/2306.13769 (2023) - [i132]Jun Xia, Lecheng Zhang, Xiao Zhu, Stan Z. Li:
Why Deep Models Often cannot Beat Non-deep Counterparts on Molecular Property Prediction? CoRR abs/2306.17702 (2023) - [i131]Zihan Liu, Jiaqi Wang, Yun Luo, Shuang Zhao, Wenbin Li, Stan Z. Li:
Efficient Prediction of Peptide Self-assembly through Sequential and Graphical Encoding. CoRR abs/2307.09169 (2023) - [i130]Jingxuan Wei, Cheng Tan, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li:
Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive Framework. CoRR abs/2307.12626 (2023) - [i129]Yifeng Zhao, Pei Zhang, Stan Z. Li, Sergio Andres Galindo-Torres:
Random-Walk Metaball-Imaging Discrete Element Lattice Boltzmann Method for 3D Solute Transport in Fluid-Particle Systems with Complex Granular Morphologies. CoRR abs/2308.05007 (2023) - [i128]Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li:
Reinforcement Graph Clustering with Unknown Cluster Number. CoRR abs/2308.06827 (2023) - [i127]Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu:
CONVERT: Contrastive Graph Clustering with Reliable Augmentation. CoRR abs/2308.08963 (2023) - [i126]Zelin Zang, Hao Luo, Kai Wang, Panpan Zhang, Fan Wang, Stan Z. Li, Yang You:
Boosting Unsupervised Contrastive Learning Using Diffusion-Based Data Augmentation From Scratch. CoRR abs/2309.07909 (2023) - [i125]Zihan Liu, Ge Wang, Jiaqi Wang, Jiangbin Zheng, Stan Z. Li:
Co-modeling the Sequential and Graphical Routes for Peptide Representation Learning. CoRR abs/2310.02964 (2023) - [i124]Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z. Li:
SemiReward: A General Reward Model for Semi-supervised Learning. CoRR abs/2310.03013 (2023) - [i123]Zhangyang Gao, Cheng Tan, Stan Z. Li:
VQPL: Vector Quantized Protein Language. CoRR abs/2310.04985 (2023) - [i122]Cheng Tan, Jue Wang, Zhangyang Gao, Siyuan Li, Lirong Wu, Jun Xia, Stan Z. Li:
Revisiting the Temporal Modeling in Spatio-Temporal Predictive Learning under A Unified View. CoRR abs/2310.05829 (2023) - [i121]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:
Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction. CoRR abs/2310.11466 (2023) - [i120]Zhe Li, Zhangyang Gao, Cheng Tan, Stan Z. Li, Laurence T. Yang:
General Point Model with Autoencoding and Autoregressive. CoRR abs/2310.16861 (2023) - [i119]Bozhen Hu, Bin Gao, Cheng Tan, Tongle Wu, Stan Z. Li:
Segment Anything in Defect Detection. CoRR abs/2311.10245 (2023) - [i118]Cheng Tan, Jingxuan Wei, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Xihong Yang, Stan Z. Li:
Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training. CoRR abs/2311.14109 (2023) - [i117]Fang Wu, Stan Z. Li:
A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design. CoRR abs/2311.16126 (2023) - [i116]Yijie Zhang, Zhangyang Gao, Cheng Tan, Stan Z. Li:
Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models. CoRR abs/2312.04019 (2023) - [i115]Jiangbin Zheng, Siyuan Li, Yufei Huang, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jun Xia, Ge Wang, Stan Z. Li:
MMDesign: Multi-Modality Transfer Learning for Generative Protein Design. CoRR abs/2312.06297 (2023) - 2022
- [j110]Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li:
Deep manifold embedding of attributed graphs. Neurocomputing 514: 83-93 (2022) - [j109]Lirong Wu, Haitao Lin, Jun Xia, Cheng Tan, Stan Z. Li:
Multi-level disentanglement graph neural network. Neural Comput. Appl. 34(11): 9087-9101 (2022) - [j108]Jun Wan, Chi Lin, Longyin Wen, Yunan Li, Qiguang Miao, Sergio Escalera, Gholamreza Anbarjafari, Isabelle Guyon, Guodong Guo, Stan Z. Li:
ChaLearn Looking at People: IsoGD and ConGD Large-Scale RGB-D Gesture Recognition. IEEE Trans. Cybern. 52(5): 3422-3433 (2022) - [j107]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:
Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection. IEEE Trans. Inf. Forensics Secur. 17: 2497-2507 (2022) - [j106]Zichang Tan, Ajian Liu, Jun Wan, Hao Li, Zhen Lei, Guodong Guo, Stan Z. Li:
Cross-Batch Hard Example Mining With Pseudo Large Batch for ID vs. Spot Face Recognition. IEEE Trans. Image Process. 31: 3224-3235 (2022) - [j105]Haitao Lin, Lirong Wu, Guojiang Zhao, Pai Liu, Stan Z. Li:
Exploring Generative Neural Temporal Point Process. Trans. Mach. Learn. Res. 2022 (2022) - [c292]Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li:
Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting. AAAI 2022: 7470-7478 - [c291]Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li:
Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. ACL (1) 2022: 8154-8163 - [c290]Di Wu, Siyuan Li, Zelin Zang, Stan Z. Li:
Exploring Localization for Self-supervised Fine-grained Contrastive Learning. BMVC 2022: 268 - [c289]Zihan Liu, Yun Luo, Lirong Wu, Siyuan Li, Zicheng Liu, Stan Z. Li:
Are Gradients on Graph Structure Reliable in Gray-box Attacks? CIKM 2022: 1360-1368 - [c288]Yun Luo, Zihan Liu, Yuefeng Shi, Stan Z. Li, Yue Zhang:
Exploiting Sentiment and Common Sense for Zero-shot Stance Detection. COLING 2022: 7112-7123 - [c287]Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li:
SimVP: Simpler yet Better Video Prediction. CVPR 2022: 3160-3170 - [c286]Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li:
Hyperspherical Consistency Regularization. CVPR 2022: 7234-7245 - [c285]Zicheng Liu, Siyuan Li, Di Wu, Zihan Liu, Zhiyuan Chen, Lirong Wu, Stan Z. Li:
AutoMix: Unveiling the Power of Mixup for Stronger Classifiers. ECCV (24) 2022: 441-458 - [c284]Jinlin Wu, Lingxiao He, Wu Liu, Yang Yang, Zhen Lei, Tao Mei, Stan Z. Li:
CAViT: Contextual Alignment Vision Transformer for Video Object Re-identification. ECCV (14) 2022: 549-566 - [c283]Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
DLME: Deep Local-Flatness Manifold Embedding. ECCV (21) 2022: 576-592 - [c282]Jun Xia, Cheng Tan, Lirong Wu, Yongjie Xu, Stan Z. Li:
OT Cleaner: Label Correction as Optimal Transport. ICASSP 2022: 3953-3957 - [c281]Jun Xia, Lirong Wu, Ge Wang, Jintao Chen, Stan Z. Li:
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning. ICML 2022: 24332-24346 - [c280]Zihan Liu, Yun Luo, Lirong Wu, Zicheng Liu, Stan Z. Li:
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias. NeurIPS 2022 - [c279]Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li:
Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks. NeurIPS 2022 - [c278]Lirong Wu, Jun Xia, Zhangyang Gao, Haitao Lin, Cheng Tan, Stan Z. Li:
GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction. ECML/PKDD (4) 2022: 519-535 - [c277]Lirong Wu, Zicheng Liu, Jun Xia, Zelin Zang, Siyuan Li, Stan Z. Li:
Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation. WACV 2022: 1668-1676 - [c276]Zihan Liu, Yun Luo, Zelin Zang, Stan Z. Li:
Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks. WSDM 2022: 591-598 - [c275]Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li:
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation. WWW 2022: 1070-1079 - [i114]Shun Zhang, Tao Zhang, Stan Z. Li, Shenghui Cheng:
Geo-indistinguishable Mechanisms for Spatial Crowdsourcing via Multi-Objective Evolutionary Optimization. CoRR abs/2201.11300 (2022) - [i113]Zhangyang Gao, Cheng Tan, Stan Z. Li:
AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB. CoRR abs/2202.01079 (2022) - [i112]Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li:
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation. CoRR abs/2202.03104 (2022) - [i111]Cheng Tan, Zhangyang Gao, Stan Z. Li:
Target-aware Molecular Graph Generation. CoRR abs/2202.04829 (2022) - [i110]Jun Xia, Yanqiao Zhu, Yuanqi Du, Stan Z. Li:
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications. CoRR abs/2202.07893 (2022) - [i109]Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li:
SemiRetro: Semi-template framework boosts deep retrosynthesis prediction. CoRR abs/2202.08205 (2022) - [i108]Zicheng Liu, Siyuan Li, Ge Wang, Cheng Tan, Lirong Wu, Stan Z. Li:
Decoupled Mixup for Data-efficient Learning. CoRR abs/2203.10761 (2022) - [i107]Xiangyu Zhu, Chang Yu, Di Huang, Zhen Lei, Hao Wang, Stan Z. Li:
Beyond 3DMM: Learning to Capture High-fidelity 3D Face Shape. CoRR abs/2204.04379 (2022) - [i106]Haitao Lin, Guojiang Zhao, Lirong Wu, Stan Z. Li:
STONet: A Neural-Operator-Driven Spatio-temporal Network. CoRR abs/2204.08414 (2022) - [i105]Fang Wu, Qiang Zhang, Dragomir R. Radev, Yuyang Wang, Xurui Jin, Yinghui Jiang, Zhangming Niu, Stan Z. Li:
Pre-training of Deep Protein Models with Molecular Dynamics Simulations for Drug Binding. CoRR abs/2204.08663 (2022) - [i104]Fang Wu, Qiang Zhang, Xurui Jin, Yinghui Jiang, Stan Z. Li:
A Score-based Geometric Model for Molecular Dynamics Simulations. CoRR abs/2204.08672 (2022) - [i103]Cheng Tan, Zhangyang Gao, Jun Xia, Stan Z. Li:
Generative De Novo Protein Design with Global Context. CoRR abs/2204.10673 (2022) - [i102]Xiangyu Zhu, Tingting Liao, Jiangjing Lyu, Xiang Yan, Yunfeng Wang, Kan Guo, Qiong Cao, Stan Z. Li, Zhen Lei:
MVP-Human Dataset for 3D Human Avatar Reconstruction from Unconstrained Frames. CoRR abs/2204.11184 (2022) - [i101]Fang Wu, Siyuan Li, Lirong Wu, Dragomir R. Radev, Qiang Zhang, Stan Z. Li:
Discovering the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions. CoRR abs/2205.07266 (2022) - [i100]Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. CoRR abs/2205.13943 (2022) - [i99]Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li:
Hyperspherical Consistency Regularization. CoRR abs/2206.00845 (2022) - [i98]Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li:
SimVP: Simpler yet Better Video Prediction. CoRR abs/2206.05099 (2022) - [i97]Cheng Tan, Zhangyang Gao, Siyuan Li, Yongjie Xu, Stan Z. Li:
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. CoRR abs/2206.12126 (2022) - [i96]Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li:
CoSP: Co-supervised pretraining of pocket and ligand. CoRR abs/2206.12241 (2022) - [i95]Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
DLME: Deep Local-flatness Manifold Embedding. CoRR abs/2207.03160 (2022) - [i94]Zelin Zang, Yongjie Xu, Yulan Geng, Siyuan Li, Stan Z. Li:
UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection. CoRR abs/2207.03809 (2022) - [i93]Haitao Lin, Lirong Wu, Guojiang Zhao, Pai Liu, Stan Z. Li:
Exploring Generative Neural Temporal Point Process. CoRR abs/2208.01874 (2022) - [i92]Zihan Liu, Yun Luo, Lirong Wu, Siyuan Li, Zicheng Liu, Stan Z. Li:
Are Gradients on Graph Structure Reliable in Gray-box Attacks? CoRR abs/2208.05514 (2022) - [i91]Zihan Liu, Ge Wang, Yun Luo, Stan Z. Li:
What Does the Gradient Tell When Attacking the Graph Structure. CoRR abs/2208.12815 (2022) - [i90]Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li:
A Survey on Generative Diffusion Model. CoRR abs/2209.02646 (2022) - [i89]Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Stan Z. Li:
OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning. CoRR abs/2209.04851 (2022) - [i88]Yifeng Zhao, Pei Zhang, Liang Lei, Sergio Andres Galindo-Torres, Stan Z. Li:
Metaball-Imaging Discrete Element Lattice Boltzmann Method for fluid-particle system of complex morphologies with settling case study. CoRR abs/2209.10411 (2022) - [i87]Zhangyang Gao, Cheng Tan, Stan Z. Li:
PiFold: Toward effective and efficient protein inverse folding. CoRR abs/2209.12643 (2022) - [i86]Lirong Wu, Jun Xia, Haitao Lin, Zhangyang Gao, Zicheng Liu, Guojiang Zhao, Stan Z. Li:
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification. CoRR abs/2210.02097 (2022) - [i85]Lirong Wu, Yufei Huang, Haitao Lin, Zicheng Liu, Tianyu Fan, Stan Z. Li:
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation. CoRR abs/2210.02099 (2022) - [i84]Jun Xia, Yanqiao Zhu, Yuanqi Du, Yue Liu, Stan Z. Li:
A Systematic Survey of Molecular Pre-trained Models. CoRR abs/2210.16484 (2022) - [i83]Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li:
Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. CoRR abs/2210.16848 (2022) - [i82]Jiangbin Zheng, Siyuan Li, Cheng Tan, Chong Wu, Yidong Chen, Stan Z. Li:
Leveraging Graph-based Cross-modal Information Fusion for Neural Sign Language Translation. CoRR abs/2211.00526 (2022) - [i81]Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li:
Efficient Multi-order Gated Aggregation Network. CoRR abs/2211.03295 (2022) - [i80]Haitao Lin, Yufei Huang, Meng Liu, Xuanjing Li, Shuiwang Ji, Stan Z. Li:
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding. CoRR abs/2211.11214 (2022) - [i79]Cheng Tan, Zhangyang Gao, Stan Z. Li:
SimVP: Towards Simple yet Powerful Spatiotemporal Predictive Learning. CoRR abs/2211.12509 (2022) - [i78]Yue Liu, Jun Xia, Sihang Zhou, Siwei Wang, Xifeng Guo, Xihong Yang, Ke Liang, Wenxuan Tu, Stan Z. Li, Xinwang Liu:
A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application. CoRR abs/2211.12875 (2022) - [i77]Zelin Zang, Shenghui Cheng, Linyan Lu, Hanchen Xia, Liangyu Li, Yaoting Sun, Yongjie Xu, Lei Shang, Baigui Sun, Stan Z. Li:
EVNet: An Explainable Deep Network for Dimension Reduction. CoRR abs/2211.15478 (2022) - [i76]Bozhen Hu, Jun Xia, Jiangbin Zheng, Cheng Tan, Yufei Huang, Yongjie Xu, Stan Z. Li:
Protein Language Models and Structure Prediction: Connection and Progression. CoRR abs/2211.16742 (2022) - [i75]Zicheng Liu, Da Li, Javier Fernández-Marqués, Stefanos Laskaridis, Yan Gao, Lukasz Dudziak, Stan Z. Li, Shell Xu Hu, Timothy M. Hospedales:
Federated Learning for Inference at Anytime and Anywhere. CoRR abs/2212.04084 (2022) - [i74]Haitao Lin, Lirong Wu, Yongjie Xu, Yufei Huang, Siyuan Li, Guojiang Zhao, Stan Z. Li:
Non-equispaced Fourier Neural Solvers for PDEs. CoRR abs/2212.04689 (2022) - [i73]Cheng Tan, Zhangyang Gao, Stan Z. Li:
RFold: Towards Simple yet Effective RNA Secondary Structure Prediction. CoRR abs/2212.14041 (2022) - 2021
- [j104]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:
Cross-ethnicity face anti-spoofing recognition challenge: A review. IET Biom. 10(1): 24-43 (2021) - [j103]Yang Yang, Zichang Tan, Prayag Tiwari, Hari Mohan Pandey, Jun Wan, Zhen Lei, Guodong Guo, Stan Z. Li:
Cascaded Split-and-Aggregate Learning with Feature Recombination for Pedestrian Attribute Recognition. Int. J. Comput. Vis. 129(10): 2731-2744 (2021) - [j102]Zitong Yu, Jun Wan, Yunxiao Qin, Xiaobai Li, Stan Z. Li, Guoying Zhao:
NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofing. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3005-3023 (2021) - [j101]Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z. Li:
RefineFace: Refinement Neural Network for High Performance Face Detection. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 4008-4020 (2021) - [j100]Jun Wan, Sergio Escalera, Hugo Jair Escalante, Guodong Guo, Stan Z. Li:
Special Issue on Face Presentation Attack Detection. IEEE Trans. Biom. Behav. Identity Sci. 3(3): 282-284 (2021) - [j99]Shifeng Zhang, Longyin Wen, Zhen Lei, Stan Z. Li:
RefineDet++: Single-Shot Refinement Neural Network for Object Detection. IEEE Trans. Circuits Syst. Video Technol. 31(2): 674-687 (2021) - [j98]Hao Liu, Xiangyu Zhu, Zhen Lei, Dong Cao, Stan Z. Li:
Fast Adapting Without Forgetting for Face Recognition. IEEE Trans. Circuits Syst. Video Technol. 31(8): 3093-3104 (2021) - [j97]Ajian Liu, Zichang Tan, Jun Wan, Yanyan Liang, Zhen Lei, Guodong Guo, Stan Z. Li:
Face Anti-Spoofing via Adversarial Cross-Modality Translation. IEEE Trans. Inf. Forensics Secur. 16: 2759-2772 (2021) - [j96]Jianzhu Guo, Xiangyu Zhu, Zhen Lei, Stan Z. Li:
Decomposed Meta Batch Normalization for Fast Domain Adaptation in Face Recognition. IEEE Trans. Inf. Forensics Secur. 16: 3082-3095 (2021) - [j95]Zitong Yu, Benjia Zhou, Jun Wan, Pichao Wang, Haoyu Chen, Xin Liu, Stan Z. Li, Guoying Zhao:
Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition. IEEE Trans. Image Process. 30: 5626-5640 (2021) - [c274]Tingting Liao, Xiangyu Zhu, Zhen Lei, Stan Z. Li:
3D Context-Aware PIFu for Clothed Human Reconstruction. CCBR 2021: 128-138 - [c273]Xiangyu Zhu, Hao Wang, Hongyan Fei, Zhen Lei, Stan Z. Li:
Face Forgery Detection by 3D Decomposition. CVPR 2021: 2929-2939 - [c272]Chubin Zhuang, Zongzhao Li, Xiangyu Zhu, Zhen Lei, Stan Z. Li:
SADet: Learning An Efficient and Accurate Pedestrian Detector. IJCB 2021: 1-8 - [c271]Cheng Tan, Jun Xia, Lirong Wu, Stan Z. Li:
Co-learning: Learning from Noisy Labels with Self-supervision. ACM Multimedia 2021: 1405-1413 - [c270]Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li:
Invertible Manifold Learning for Dimension Reduction. ECML/PKDD (3) 2021: 713-728 - [c269]Ajian Liu, Zichang Tan, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z. Li:
CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing. WACV 2021: 1178-1186 - [i72]Haitao Lin, Zhangyang Gao, Lirong Wu, Stan Z. Li:
Conditional Local Filters with Explainers for Spatio-Temporal Forecasting. CoRR abs/2101.01000 (2021) - [i71]Zicheng Liu, Siyuan Li, Di Wu, Zhiyuan Chen, Lirong Wu, Jianzhu Guo, Stan Z. Li:
AutoMix: Unveiling the Power of Mixup. CoRR abs/2103.13027 (2021) - [i70]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:
Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection. CoRR abs/2104.06148 (2021) - [i69]Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li:
Unsupervised Deep Manifold Attributed Graph Embedding. CoRR abs/2104.13048 (2021) - [i68]Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li:
Self-supervised on Graphs: Contrastive, Generative, or Predictive. CoRR abs/2105.07342 (2021) - [i67]Yifeng Zhao, Zicheng Liu, Pei Zhang, Stan Z. Li, Sergio Andres Galindo-Torres:
An interpretable prediction model for longitudinal dispersion coefficient in natural streams based on evolutionary symbolic regression network. CoRR abs/2106.11026 (2021) - [i66]Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li:
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction. CoRR abs/2106.11133 (2021) - [i65]Di Wu, Siyuan Li, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment. CoRR abs/2106.15788 (2021) - [i64]Yifeng Zhao, Pei Zhang, Sergio Andres Galindo-Torres, Stan Z. Li:
A Data-driven feature selection and machine-learning model benchmark for the prediction of longitudinal dispersion coefficient. CoRR abs/2107.12970 (2021) - [i63]Cheng Tan, Jun Xia, Lirong Wu, Stan Z. Li:
Co-learning: Learning from Noisy Labels with Self-supervision. CoRR abs/2108.04063 (2021) - [i62]Zhangyang Gao, Haitao Lin, Cheng Tan, Lirong Wu, Stan Z. Li:
Git: Clustering Based on Graph of Intensity Topology. CoRR abs/2110.01274 (2021) - [i61]Jun Xia, Lirong Wu, Jintao Chen, Ge Wang, Stan Z. Li:
Debiased Graph Contrastive Learning. CoRR abs/2110.02027 (2021) - [i60]Haitao Lin, Cheng Tan, Lirong Wu, Zhangyang Gao, Stan Z. Li:
Extensive Deep Temporal Point Process. CoRR abs/2110.09823 (2021) - [i59]Zihan Liu, Yun Luo, Zelin Zang, Stan Z. Li:
Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks. CoRR abs/2110.10482 (2021) - [i58]Siyuan Li, Zelin Zang, Di Wu, Zhiyuan Chen, Stan Z. Li:
GenURL: A General Framework for Unsupervised Representation Learning. CoRR abs/2110.14553 (2021) - [i57]Siyuan Li, Zicheng Liu, Di Wu, Zihan Liu, Stan Z. Li:
Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup. CoRR abs/2111.15454 (2021) - 2020
- [b3]Jun Wan, Guodong Guo, Sergio Escalera, Hugo Jair Escalante, Stan Z. Li:
Multi-Modal Face Presentation Attack Detection. Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers 2020, ISBN 978-3-031-00696-8 - [j94]Jinlin Wu, Yang Yang, Zhen Lei, Jinqiao Wang, Stan Z. Li, Prayag Tiwari, Hari Mohan Pandey:
An end-to-end exemplar association for unsupervised person Re-identification. Neural Networks 129: 43-54 (2020) - [j93]Chang Yu, Xiangyu Zhu, Zhen Lei, Stan Z. Li:
Out-of-Distribution Detection for Reliable Face Recognition. IEEE Signal Process. Lett. 27: 710-714 (2020) - [j92]Shifeng Zhang, Ajian Liu, Jun Wan, Yanyan Liang, Guodong Guo, Sergio Escalera, Hugo Jair Escalante, Stan Z. Li:
CASIA-SURF: A Large-Scale Multi-Modal Benchmark for Face Anti-Spoofing. IEEE Trans. Biom. Behav. Identity Sci. 2(2): 182-193 (2020) - [j91]Xuxin Lin, Jun Wan, Yiliang Xie, Shifeng Zhang, Chi Lin, Yanyan Liang, Guodong Guo, Stan Z. Li:
Task-Oriented Feature-Fused Network With Multivariate Dataset for Joint Face Analysis. IEEE Trans. Cybern. 50(3): 1292-1305 (2020) - [j90]Haonan Chen, Guosheng Hu, Zhen Lei, Yaowu Chen, Neil Martin Robertson, Stan Z. Li:
Attention-Based Two-Stream Convolutional Networks for Face Spoofing Detection. IEEE Trans. Inf. Forensics Secur. 15: 578-593 (2020) - [j89]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:
Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study. IEEE Trans. Image Process. 29: 5737-5752 (2020) - [j88]Shifeng Zhang, Yiliang Xie, Jun Wan, Hansheng Xia, Stan Z. Li, Guodong Guo:
WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild. IEEE Trans. Multim. 22(2): 380-393 (2020) - [c268]Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou:
PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes. AAAI 2020: 10639-10646 - [c267]Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou:
Relational Learning for Joint Head and Human Detection. AAAI 2020: 10647-10654 - [c266]Zichang Tan, Yang Yang, Jun Wan, Guodong Guo, Stan Z. Li:
Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Networks. AAAI 2020: 12055-12062 - [c265]Qi Zhang, Zhen Lei, Zhaoxiang Zhang, Stan Z. Li:
Context-Aware Attention Network for Image-Text Retrieval. CVPR 2020: 3533-3542 - [c264]Jianzhu Guo, Xiangyu Zhu, Chenxu Zhao, Dong Cao, Zhen Lei, Stan Z. Li:
Learning Meta Face Recognition in Unseen Domains. CVPR 2020: 6162-6171 - [c263]Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, Stan Z. Li:
Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection. CVPR 2020: 9756-9765 - [c262]Jianzhu Guo, Xiangyu Zhu, Yang Yang, Fan Yang, Zhen Lei, Stan Z. Li:
Towards Fast, Accurate and Stable 3D Dense Face Alignment. ECCV (19) 2020: 152-168 - [c261]Xiangyu Zhu, Fan Yang, Di Huang, Chang Yu, Hao Wang, Jianzhu Guo, Zhen Lei, Stan Z. Li:
Beyond 3DMM Space: Towards Fine-Grained 3D Face Reconstruction. ECCV (8) 2020: 343-358 - [c260]Xuan Li, Jun Wan, Yi Jin, Ajian Liu, Guodong Guo, Stan Z. Li:
3DPC-Net: 3D Point Cloud Network for Face Anti-spoofing. IJCB 2020: 1-8 - [c259]Qi Zhang, Zhen Lei, Stan Z. Li:
Neighborhood-Aware Attention Network for Semi-supervised Face Recognition. IJCNN 2020: 1-8 - [i56]Ajian Liu, Zichang Tan, Xuan Li, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z. Li:
CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing. CoRR abs/2003.05136 (2020) - [i55]Jianzhu Guo, Xiangyu Zhu, Chenxu Zhao, Dong Cao, Zhen Lei, Stan Z. Li:
Learning Meta Face Recognition in Unseen Domains. CoRR abs/2003.07733 (2020) - [i54]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:
Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review. CoRR abs/2004.10998 (2020) - [i53]Stan Z. Li, Zelin Zhang, Lirong Wu:
Markov-Lipschitz Deep Learning. CoRR abs/2006.08256 (2020) - [i52]Chubin Zhuang, Zhen Lei, Stan Z. Li:
SADet: Learning An Efficient and Accurate Pedestrian Detector. CoRR abs/2007.13119 (2020) - [i51]Zitong Yu, Benjia Zhou, Jun Wan, Pichao Wang, Haoyu Chen, Xin Liu, Stan Z. Li, Guoying Zhao:
Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition. CoRR abs/2008.09412 (2020) - [i50]Lirong Wu, Zicheng Liu, Zelin Zang, Jun Xia, Siyuan Li, Stan Z. Li:
Deep Clustering and Representation Learning that Preserves Geometric Structures. CoRR abs/2009.09590 (2020) - [i49]Jianzhu Guo, Xiangyu Zhu, Yang Yang, Fan Yang, Zhen Lei, Stan Z. Li:
Towards Fast, Accurate and Stable 3D Dense Face Alignment. CoRR abs/2009.09960 (2020) - [i48]Zhangyang Gao, Haitao Lin, Stan Z. Li:
Clustering Based on Graph of Density Topology. CoRR abs/2009.11612 (2020) - [i47]Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li:
Invertible Manifold Learning for Dimension Reduction. CoRR abs/2010.04012 (2020) - [i46]Stan Z. Li, Zelin Zang, Lirong Wu:
Deep Manifold Computing and Visualization. CoRR abs/2010.14831 (2020) - [i45]Zitong Yu, Jun Wan, Yunxiao Qin, Xiaobai Li, Stan Z. Li, Guoying Zhao:
NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofing. CoRR abs/2011.02062 (2020) - [i44]Xiangyu Zhu, Hao Wang, Hongyan Fei, Zhen Lei, Stan Z. Li:
Face Forgery Detection by 3D Decomposition. CoRR abs/2011.09737 (2020) - [i43]Stan Z. Li, Lirong Wu, Zelin Zang:
Consistent Representation Learning for High Dimensional Data Analysis. CoRR abs/2012.00481 (2020) - [i42]Zhangyang Gao, Haitao Lin, Stan Z. Li:
LookHops: light multi-order convolution and pooling for graph classification. CoRR abs/2012.15741 (2020)
2010 – 2019
- 2019
- [j87]Shifeng Zhang, Longyin Wen, Hailin Shi, Zhen Lei, Siwei Lyu, Stan Z. Li:
Single-Shot Scale-Aware Network for Real-Time Face Detection. Int. J. Comput. Vis. 127(6-7): 537-559 (2019) - [j86]Xiangyu Zhu, Hao Liu, Zhen Lei, Hailin Shi, Fan Yang, Dong Yi, Guojun Qi, Stan Z. Li:
Large-Scale Bisample Learning on ID Versus Spot Face Recognition. Int. J. Comput. Vis. 127(6-7): 684-700 (2019) - [j85]Shifeng Zhang, Xiaobo Wang, Zhen Lei, Stan Z. Li:
Faceboxes: A CPU real-time and accurate unconstrained face detector. Neurocomputing 364: 297-309 (2019) - [j84]Xiangyu Zhu, Xiaoming Liu, Zhen Lei, Stan Z. Li:
Face Alignment in Full Pose Range: A 3D Total Solution. IEEE Trans. Pattern Anal. Mach. Intell. 41(1): 78-92 (2019) - [j83]Xiaobo Wang, Zhen Lei, Xiaojie Guo, Changqing Zhang, Hailin Shi, Stan Z. Li:
Multi-view subspace clustering with intactness-aware similarity. Pattern Recognit. 88: 50-63 (2019) - [j82]Zichang Tan, Yang Yang, Jun Wan, Hanyuan Hang, Guodong Guo, Stan Z. Li:
Attention-Based Pedestrian Attribute Analysis. IEEE Trans. Image Process. 28(12): 6126-6140 (2019) - [j81]Xuxin Lin, Yanyan Liang, Jun Wan, Chi Lin, Stan Z. Li:
Region-Based Context Enhanced Network for Robust Multiple Face Alignment. IEEE Trans. Multim. 21(12): 3053-3067 (2019) - [c258]Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou:
Selective Refinement Network for High Performance Face Detection. AAAI 2019: 8231-8238 - [c257]Jinchuan Xiao, Yinhang Tang, Jianzhu Guo, Yang Yang, Xiangyu Zhu, Zhen Lei, Stan Z. Li:
3DMA: A Multi-modality 3D Mask Face Anti-spoofing Database. AVSS 2019: 1-8 - [c256]Qi Yuan, Jun Wan, Chi Lin, Yunan Li, Qiguang Miao, Stan Z. Li, Lihua Wang, Yunxiang Lu:
Global and Local Spatial-Attention Network for Isolated Gesture Recognition. CCBR 2019: 84-93 - [c255]Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao, Jun Wan, Sergio Escalera, Hailin Shi, Zezheng Wang, Stan Z. Li:
A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing. CVPR 2019: 919-928 - [c254]Ajian Liu, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zichang Tan, Qi Yuan, Kai Wang, Chi Lin, Guodong Guo, Isabelle Guyon, Stan Z. Li:
Multi-Modal Face Anti-Spoofing Attack Detection Challenge at CVPR2019. CVPR Workshops 2019: 1601-1610 - [c253]Hao Liu, Xiangyu Zhu, Zhen Lei, Stan Z. Li:
AdaptiveFace: Adaptive Margin and Sampling for Face Recognition. CVPR 2019: 11947-11956 - [c252]Jianzhu Guo, Xiangyu Zhu, Jinchuan Xiao, Zhen Lei, Genxun Wan, Stan Z. Li:
Improving Face Anti-Spoofing by 3D Virtual Synthesis. ICB 2019: 1-8 - [c251]Haibo Jin, Shifeng Zhang, Xiangyu Zhu, Yinhang Tang, Zhen Lei, Stan Z. Li:
Learning Lightweight Face Detector with Knowledge Distillation. ICB 2019: 1-7 - [c250]Yang Yang, Zhen Lei, Jinqiao Wang, Stan Z. Li:
In Defense of Color Names for Small-Scale Person Re-Identification. ICB 2019: 1-6 - [c249]Chubin Zhuang, Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Jinqiao Wang, Stan Z. Li:
FLDet: A CPU Real-time Joint Face and Landmark Detector. ICB 2019: 1-8 - [c248]Jinlin Wu, Hao Liu, Yang Yang, Zhen Lei, Shengcai Liao, Stan Z. Li:
Unsupervised Graph Association for Person Re-Identification. ICCV 2019: 8320-8329 - [c247]Jinlin Wu, Shengcai Liao, Zhen Lei, Xiaobo Wang, Yang Yang, Stan Z. Li:
Clustering and Dynamic Sampling Based Unsupervised Domain Adaptation for Person Re-Identification. ICME 2019: 886-891 - [c246]Zichang Tan, Yang Yang, Jun Wan, Guodong Guo, Stan Z. Li:
Deeply-learned Hybrid Representations for Facial Age Estimation. IJCAI 2019: 3548-3554 - [i41]Jianzhu Guo, Xiangyu Zhu, Jinchuan Xiao, Zhen Lei, Genxun Wan, Stan Z. Li:
Improving Face Anti-Spoofing by 3D Virtual Synthesis. CoRR abs/1901.00488 (2019) - [i40]Shifeng Zhang, Rui Zhu, Xiaobo Wang, Hailin Shi, Tianyu Fu, Shuo Wang, Tao Mei, Stan Z. Li:
Improved Selective Refinement Network for Face Detection. CoRR abs/1901.06651 (2019) - [i39]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:
WIDER Face and Pedestrian Challenge 2018: Methods and Results. CoRR abs/1902.06854 (2019) - [i38]Jun Wan, Chi Lin, Longyin Wen, Yunan Li, Qiguang Miao, Sergio Escalera, Gholamreza Anbarjafari, Isabelle Guyon, Guodong Guo, Stan Z. Li:
ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition. CoRR abs/1907.12193 (2019) - [i37]Shifeng Zhang, Ajian Liu, Jun Wan, Yanyan Liang, Guodong Guo, Sergio Escalera, Hugo Jair Escalante, Stan Z. Li:
CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing. CoRR abs/1908.10654 (2019) - [i36]Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z. Li:
RefineFace: Refinement Neural Network for High Performance Face Detection. CoRR abs/1909.04376 (2019) - [i35]Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou:
PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes. CoRR abs/1909.06826 (2019) - [i34]Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou:
Relational Learning for Joint Head and Human Detection. CoRR abs/1909.10674 (2019) - [i33]Shifeng Zhang, Yiliang Xie, Jun Wan, Hansheng Xia, Stan Z. Li, Guodong Guo:
WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild. CoRR abs/1909.12118 (2019) - [i32]Ajian Liu, Zichang Tan, Xuan Li, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z. Li:
Static and Dynamic Fusion for Multi-modal Cross-ethnicity Face Anti-spoofing. CoRR abs/1912.02340 (2019) - [i31]Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, Stan Z. Li:
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection. CoRR abs/1912.02424 (2019) - 2018
- [j80]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:
Trends and Controversies. IEEE Intell. Syst. 33(3): 41-67 (2018) - [j79]Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Xiaobo Wang, Hailin Shi, Stan Z. Li:
Detecting Face with Densely Connected Face Proposal Network. Neurocomputing 284: 119-127 (2018) - [j78]Zichang Tan, Jun Wan, Zhen Lei, Ruicong Zhi, Guodong Guo, Stan Z. Li:
Efficient Group-n Encoding and Decoding for Facial Age Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 40(11): 2610-2623 (2018) - [j77]Xiaobo Wang, Zhen Lei, Shengcai Liao, Xiaojie Guo, Yang Yang, Stan Z. Li:
Dependence-Aware Feature Coding for Person Re-Identification. IEEE Signal Process. Lett. 25(4): 506-510 (2018) - [j76]Jun Wan, Zichang Tan, Zhen Lei, Guodong Guo, Stan Z. Li:
Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure. IEEE Trans. Cybern. 48(9): 2531-2541 (2018) - [j75]Yangyu Fan, Shu Liu, Bo Li, Zhe Guo, Ashok Samal, Jun Wan, Stan Z. Li:
Label Distribution-Based Facial Attractiveness Computation by Deep Residual Learning. IEEE Trans. Multim. 20(8): 2196-2208 (2018) - [j74]Jiali Duan, Jun Wan, Shuai Zhou, Xiaoyuan Guo, Stan Z. Li:
A Unified Framework for Multi-Modal Isolated Gesture Recognition. ACM Trans. Multim. Comput. Commun. Appl. 14(1s): 21:1-21:16 (2018) - [c245]Jianzhu Guo, Xiangyu Zhu, Zhen Lei, Stan Z. Li:
Face Synthesis for Eyeglass-Robust Face Recognition. CCBR 2018: 275-284 - [c244]Chubin Zhuang, Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Stan Z. Li:
Single Shot Attention-Based Face Detector. CCBR 2018: 285-293 - [c243]Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li:
Single-Shot Refinement Neural Network for Object Detection. CVPR 2018: 4203-4212 - [c242]Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li:
Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd. ECCV (3) 2018: 657-674 - [c241]Chi Lin, Jun Wan, Yanyan Liang, Stan Z. Li:
Large-Scale Isolated Gesture Recognition Using a Refined Fused Model Based on Masked Res-C3D Network and Skeleton LSTM. FG 2018: 52-58 - [c240]Jinlin Wu, Hailin Shi, Shu Zhang, Zhen Lei, Yang Yang, Stan Z. Li:
De-Mark GAN: Removing Dense Watermark with Generative Adversarial Network. ICB 2018: 69-74 - [c239]Lipeng Wan, Jun Wan, Yi Jin, Zichang Tan, Stan Z. Li:
Fine-Grained Multi-Attribute Adversarial Learning for Face Generation of Age, Gender and Ethnicity. ICB 2018: 98-103 - [c238]Xuezhi Liang, Shengcai Liao, Xiaobo Wang, Wei Liu, Yuxuan Chen, Stan Z. Li:
Deep Background Subtraction with Guided Learning. ICME 2018: 1-6 - [c237]Xiaobo Wang, Zhen Lei, Hailin Shi, Xiaojie Guo, Xiangyu Zhu, Stan Z. Li:
Co-Referenced Subspace Clustering. ICME 2018: 1-6 - [c236]Xiaobo Wang, Shifeng Zhang, Zhen Lei, Si Liu, Xiaojie Guo, Stan Z. Li:
Ensemble Soft-Margin Softmax Loss for Image Classification. IJCAI 2018: 992-998 - [i30]Xiangyu Zhu, Xiaoming Liu, Zhen Lei, Stan Z. Li:
Face Alignment in Full Pose Range: A 3D Total Solution. CoRR abs/1804.01005 (2018) - [i29]Xiaobo Wang, Shifeng Zhang, Zhen Lei, Si Liu, Xiaojie Guo, Stan Z. Li:
Ensemble Soft-Margin Softmax Loss for Image Classification. CoRR abs/1805.03922 (2018) - [i28]Jianzhu Guo, Xiangyu Zhu, Zhen Lei, Stan Z. Li:
Face Synthesis for Eyeglass-Robust Face Recognition. CoRR abs/1806.01196 (2018) - [i27]Xiangyu Zhu, Hao Liu, Zhen Lei, Hailin Shi, Fan Yang, Dong Yi, Stan Z. Li:
Large-scale Bisample Learning on ID vs. Spot Face Recognition. CoRR abs/1806.03018 (2018) - [i26]Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li:
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd. CoRR abs/1807.08407 (2018) - [i25]Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou:
Selective Refinement Network for High Performance Face Detection. CoRR abs/1809.02693 (2018) - [i24]Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao, Jun Wan, Sergio Escalera, Hailin Shi, Zezheng Wang, Stan Z. Li:
CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing. CoRR abs/1812.00408 (2018) - 2017
- [j73]Jianqing Zhu, Shengcai Liao, Zhen Lei, Stan Z. Li:
Multi-label convolutional neural network based pedestrian attribute classification. Image Vis. Comput. 58: 224-229 (2017) - [j72]Hailin Shi, Xiaobo Wang, Dong Yi, Zhen Lei, Xiangyu Zhu, Stan Z. Li:
Cross-Modality Face Recognition via Heterogeneous Joint Bayesian. IEEE Signal Process. Lett. 24(1): 81-85 (2017) - [c235]Yang Yang, Longyin Wen, Siwei Lyu, Stan Z. Li:
Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification. AAAI 2017: 4306-4312 - [c234]Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li:
Detecting Face with Densely Connected Face Proposal Network. CCBR 2017: 3-12 - [c233]Xiaobo Wang, Xiaojie Guo, Zhen Lei, Changqing Zhang, Stan Z. Li:
Exclusivity-Consistency Regularized Multi-view Subspace Clustering. CVPR 2017: 1-9 - [c232]Jianzhu Guo, Shuai Zhou, Jinlin Wu, Jun Wan, Xiangyu Zhu, Zhen Lei, Stan Z. Li:
Multi-modality Network with Visual and Geometrical Information for Micro Emotion Recognition. FG 2017: 814-819 - [c231]Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li:
FaceBoxes: A CPU real-time face detector with high accuracy. IJCB 2017: 1-9 - [c230]Haibo Jin, Xiaobo Wang, Shengcai Liao, Stan Z. Li:
Deep person re-identification with improved embedding and efficient training. IJCB 2017: 261-267 - [c229]Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li:
S^3FD: Single Shot Scale-Invariant Face Detector. ICCV 2017: 192-201 - [c228]Xuezhi Liang, Xiaobo Wang, Zhen Lei, Shengcai Liao, Stan Z. Li:
Soft-Margin Softmax for Deep Classification. ICONIP (2) 2017: 413-421 - [i23]Haibo Jin, Xiaobo Wang, Shengcai Liao, Stan Z. Li:
Deep Person Re-Identification with Improved Embedding. CoRR abs/1705.03332 (2017) - [i22]Yang Yang, Shengcai Liao, Zhen Lei, Stan Z. Li:
Learning Efficient Image Representation for Person Re-Identification. CoRR abs/1707.02319 (2017) - [i21]Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li:
FaceBoxes: A CPU Real-time Face Detector with High Accuracy. CoRR abs/1708.05234 (2017) - [i20]Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li:
S3FD: Single Shot Scale-invariant Face Detector. CoRR abs/1708.05237 (2017) - [i19]Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li:
Single-Shot Refinement Neural Network for Object Detection. CoRR abs/1711.06897 (2017) - 2016
- [j71]Shengcai Liao, Anil K. Jain, Stan Z. Li:
A Fast and Accurate Unconstrained Face Detector. IEEE Trans. Pattern Anal. Mach. Intell. 38(2): 211-223 (2016) - [j70]Jun Wan, Guodong Guo, Stan Z. Li:
Explore Efficient Local Features from RGB-D Data for One-Shot Learning Gesture Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 38(8): 1626-1639 (2016) - [j69]Longyin Wen, Zhen Lei, Siwei Lyu, Stan Z. Li, Ming-Hsuan Yang:
Exploiting Hierarchical Dense Structures on Hypergraphs for Multi-Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 38(10): 1983-1996 (2016) - [j68]Jianqing Zhu, Shengcai Liao, Stan Z. Li:
Multicamera Joint Video Synopsis. IEEE Trans. Circuits Syst. Video Technol. 26(6): 1058-1069 (2016) - [j67]Zhen Lei, Dong Yi, Stan Z. Li:
Learning Stacked Image Descriptor for Face Recognition. IEEE Trans. Circuits Syst. Video Technol. 26(9): 1685-1696 (2016) - [j66]Chuan-Xian Ren, Zhen Lei, Dao-Qing Dai, Stan Z. Li:
Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition. IEEE Trans. Cybern. 46(11): 2656-2669 (2016) - [c227]Yang Yang, Zhen Lei, Shifeng Zhang, Hailin Shi, Stan Z. Li:
Metric Embedded Discriminative Vocabulary Learning for High-Level Person Representation. AAAI 2016: 3648-3654 - [c226]Yang Yang, Shengcai Liao, Zhen Lei, Stan Z. Li:
Large Scale Similarity Learning Using Similar Pairs for Person Verification. AAAI 2016: 3655-3661 - [c225]Zichang Tan, Shuai Zhou, Jun Wan, Zhen Lei, Stan Z. Li:
Age Estimation Based on a Single Network with Soft Softmax of Aging Modeling. ACCV (3) 2016: 203-216 - [c224]Jiali Duan, Shengcai Liao, Xiaoyuan Guo, Stan Z. Li:
Face Detection by Aggregating Visible Components. ACCV Workshops (2) 2016: 319-333 - [c223]Jiali Duan, Shengcai Liao, Shuai Zhou, Stan Z. Li:
Face Classification: A Specialized Benchmark Study. CCBR 2016: 22-29 - [c222]Ting Liu, Jun Wan, Tingzhao Yu, Zhen Lei, Stan Z. Li:
Age Estimation Based on Multi-Region Convolutional Neural Network. CCBR 2016: 186-194 - [c221]Shuai Zhou, Yanyan Liang, Jun Wan, Stan Z. Li:
Facial Expression Recognition Based on Multi-scale CNNs. CCBR 2016: 503-510 - [c220]Xiangyu Zhu, Zhen Lei, Xiaoming Liu, Hailin Shi, Stan Z. Li:
Face Alignment Across Large Poses: A 3D Solution. CVPR 2016: 146-155 - [c219]Jun Wan, Stan Z. Li, Yibing Zhao, Shuai Zhou, Isabelle Guyon, Sergio Escalera:
ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition. CVPR Workshops 2016: 761-769 - [c218]Hailin Shi, Xiangyu Zhu, Zhen Lei, Shengcai Liao, Stan Z. Li:
Learning Discriminative Features with Class Encoder. CVPR Workshops 2016: 1119-1125 - [c217]Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li:
CRAFT Objects from Images. CVPR 2016: 6043-6051 - [c216]Hailin Shi, Yang Yang, Xiangyu Zhu, Shengcai Liao, Zhen Lei, Wei-Shi Zheng, Stan Z. Li:
Embedding Deep Metric for Person Re-identification: A Study Against Large Variations. ECCV (1) 2016: 732-748 - [c215]Julian Fiérrez, Stan Z. Li, Arun Ross, Raymond N. J. Veldhuis:
Message from the Program Chairs. ICB 2016: 1 - [i18]Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li:
CRAFT Objects from Images. CoRR abs/1604.03239 (2016) - [i17]Hailin Shi, Xiangyu Zhu, Zhen Lei, Shengcai Liao, Stan Z. Li:
Learning Discriminative Features with Class Encoder. CoRR abs/1605.02424 (2016) - [i16]Hailin Shi, Yang Yang, Xiangyu Zhu, Shengcai Liao, Zhen Lei, Wei-Shi Zheng, Stan Z. Li:
Embedding Deep Metric for Person Re-identication A Study Against Large Variations. CoRR abs/1611.00137 (2016) - [i15]Jiali Duan, Shuai Zhou, Jun Wan, Xiaoyuan Guo, Stan Z. Li:
Multi-Modality Fusion based on Consensus-Voting and 3D Convolution for Isolated Gesture Recognition. CoRR abs/1611.06689 (2016) - 2015
- [j65]Wonjun Hwang, Xiangsheng Huang, Stan Z. Li, Junmo Kim:
Face recognition using Extended Curvature Gabor classifier bunch. Pattern Recognit. 48(4): 1247-1260 (2015) - [j64]Hong Han, Jianfei Zhu, Shengcai Liao, Zhen Lei, Stan Z. Li:
Moving Object Detection Revisited: Speed and Robustness. IEEE Trans. Circuits Syst. Video Technol. 25(6): 910-921 (2015) - [j63]Jianqing Zhu, Shikun Feng, Dong Yi, Shengcai Liao, Zhen Lei, Stan Z. Li:
High-Performance Video Condensation System. IEEE Trans. Circuits Syst. Video Technol. 25(7): 1113-1124 (2015) - [j62]Nicholas W. D. Evans, Stan Z. Li, Sébastien Marcel, Arun Ross:
Guest Editorial Special Issue on Biometric Spoofing and Countermeasures. IEEE Trans. Inf. Forensics Secur. 10(4): 699-702 (2015) - [j61]Jianwei Yang, Zhen Lei, Dong Yi, Stan Z. Li:
Person-Specific Face Antispoofing With Subject Domain Adaptation. IEEE Trans. Inf. Forensics Secur. 10(4): 797-809 (2015) - [c214]Ting Liu, Zhen Lei, Jun Wan, Stan Z. Li:
DFDnet: Discriminant Face Descriptor Network for Facial Age Estimation. CCBR 2015: 649-658 - [c213]Xiangyu Zhu, Zhen Lei, Junjie Yan, Dong Yi, Stan Z. Li:
High-fidelity Pose and Expression Normalization for face recognition in the wild. CVPR 2015: 787-796 - [c212]Shengcai Liao, Yang Hu, Xiangyu Zhu, Stan Z. Li:
Person re-identification by Local Maximal Occurrence representation and metric learning. CVPR 2015: 2197-2206 - [c211]Longyin Wen, Dawei Du, Zhen Lei, Stan Z. Li, Ming-Hsuan Yang:
JOTS: Joint Online Tracking and Segmentation. CVPR 2015: 2226-2234 - [c210]Junjie Yan, Yinan Yu, Xiangyu Zhu, Zhen Lei, Stan Z. Li:
Object detection by labeling superpixels. CVPR 2015: 5107-5116 - [c209]Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li:
Fine-grained evaluation on face detection in the wild. FG 2015: 1-7 - [c208]Dong Yi, Zhen Lei, Stan Z. Li:
Shared representation learning for heterogenous face recognition. FG 2015: 1-7 - [c207]Xiangyu Zhu, Junjie Yan, Dong Yi, Zhen Lei, Stan Z. Li:
Discriminative 3D morphable model fitting. FG 2015: 1-8 - [c206]Zhen Lei, Dong Yi, Xiangsheng Huang, Stan Z. Li:
Subspace learning with frequency regularizer: Its application to face recognition. ICB 2015: 481-486 - [c205]Jianqing Zhu, Shengcai Liao, Dong Yi, Zhen Lei, Stan Z. Li:
Multi-label CNN based pedestrian attribute learning for soft biometrics. ICB 2015: 535-540 - [c204]Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li:
Convolutional Channel Features. ICCV 2015: 82-90 - [c203]Xiaobo Wang, Xiaojie Guo, Stan Z. Li:
Adaptively Unified Semi-Supervised Dictionary Learning with Active Points. ICCV 2015: 1787-1795 - [c202]Shengcai Liao, Stan Z. Li:
Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification. ICCV 2015: 3685-3693 - [c201]Guosheng Hu, Yongxin Yang, Dong Yi, Josef Kittler, William J. Christmas, Stan Z. Li, Timothy M. Hospedales:
When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition. ICCV Workshops 2015: 384-392 - [c200]Wenbo Li, Longyin Wen, Mooi Choo Chuah, Yi Zhang, Zhen Lei, Stan Z. Li:
Online Visual Tracking Using Temporally Coherent Part Cluster. WACV 2015: 9-16 - [e9]Stan Z. Li, Anil K. Jain:
Encyclopedia of Biometrics, Second Edition. Springer US 2015, ISBN 978-1-4899-7487-7 [contents] - [r9]Stan Z. Li, Dong Yi:
Face Recognition, Near-Infrared. Encyclopedia of Biometrics 2015: 500-503 - [r8]Stan Z. Li:
Heterogeneous Face Biometrics. Encyclopedia of Biometrics 2015: 873-876 - [r7]Dong Yi, Weilong Yang, Stan Z. Li:
Skin Spectroscopy. Encyclopedia of Biometrics 2015: 1414-1419 - [r6]XiangXin Zhu, Zhen Lei, Stan Z. Li:
Skin Texture. Encyclopedia of Biometrics 2015: 1419-1422 - [i14]Guosheng Hu, Yongxin Yang, Dong Yi, Josef Kittler, William J. Christmas, Stan Z. Li, Timothy M. Hospedales:
When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition. CoRR abs/1504.02351 (2015) - [i13]Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li:
Convolutional Channel Features For Pedestrian, Face and Edge Detection. CoRR abs/1504.07339 (2015) - [i12]Xiangyu Zhu, Zhen Lei, Xiaoming Liu, Hailin Shi, Stan Z. Li:
Face Alignment Across Large Poses: A 3D Solution. CoRR abs/1511.07212 (2015) - [i11]Hailin Shi, Xiangyu Zhu, Shengcai Liao, Zhen Lei, Yang Yang, Stan Z. Li:
Constrained Deep Metric Learning for Person Re-identification. CoRR abs/1511.07545 (2015) - 2014
- [j60]Junjie Yan, Xucong Zhang, Zhen Lei, Stan Z. Li:
Face detection by structural models. Image Vis. Comput. 32(10): 790-799 (2014) - [j59]Zhen Lei, Matti Pietikäinen, Stan Z. Li:
Learning Discriminant Face Descriptor. IEEE Trans. Pattern Anal. Mach. Intell. 36(2): 289-302 (2014) - [j58]Jun-Yong Zhu, Wei-Shi Zheng, Jian-Huang Lai, Stan Z. Li:
Matching NIR Face to VIS Face Using Transduction. IEEE Trans. Inf. Forensics Secur. 9(3): 501-514 (2014) - [j57]Xingjie Wei, Chang-Tsun Li, Zhen Lei, Dong Yi, Stan Z. Li:
Dynamic Image-to-Class Warping for Occluded Face Recognition. IEEE Trans. Inf. Forensics Secur. 9(12): 2035-2050 (2014) - [j56]Longyin Wen, Zhaowei Cai, Zhen Lei, Dong Yi, Stan Z. Li:
Robust Online Learned Spatio-Temporal Context Model for Visual Tracking. IEEE Trans. Image Process. 23(2): 785-796 (2014) - [j55]Zhaowei Cai, Longyin Wen, Zhen Lei, Nuno Vasconcelos, Stan Z. Li:
Robust Deformable and Occluded Object Tracking With Dynamic Graph. IEEE Trans. Image Process. 23(12): 5497-5509 (2014) - [c199]Dong Yi, Zhen Lei, Stan Z. Li:
Age Estimation by Multi-scale Convolutional Network. ACCV (3) 2014: 144-158 - [c198]Junjie Yan, Bin Yang, Zhen Lei, Stan Z. Li:
Adaptive Structural Model for Video Based Pedestrian Detection. ACCV (1) 2014: 211-226 - [c197]Longyin Wen, Zhaowei Cai, Dawei Du, Zhen Lei, Stan Z. Li:
Learning Discriminative Hidden Structural Parts for Visual Tracking. ACCV Workshops (3) 2014: 262-276 - [c196]Jianqing Zhu, Shengcai Liao, Zhen Lei, Stan Z. Li:
Improve Pedestrian Attribute Classification by Weighted Interactions from Other Attributes. ACCV Workshops (3) 2014: 545-557 - [c195]Yang Hu, Dong Yi, Shengcai Liao, Zhen Lei, Stan Z. Li:
Cross Dataset Person Re-identification. ACCV Workshops (3) 2014: 650-664 - [c194]Longyin Wen, Wenbo Li, Junjie Yan, Zhen Lei, Dong Yi, Stan Z. Li:
Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph. CVPR 2014: 1282-1289 - [c193]Menglong Yang, Yiguang Liu, Longyin Wen, Zhisheng You, Stan Z. Li:
A Probabilistic Framework for Multitarget Tracking with Mutual Occlusions. CVPR 2014: 1298-1305 - [c192]Junjie Yan, Zhen Lei, Longyin Wen, Stan Z. Li:
The Fastest Deformable Part Model for Object Detection. CVPR 2014: 2497-2504 - [c191]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:
The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) 2014: 191-217 - [c190]Yang Yang, Jimei Yang, Junjie Yan, Shengcai Liao, Dong Yi, Stan Z. Li:
Salient Color Names for Person Re-identification. ECCV (1) 2014: 536-551 - [c189]Junjie Yan, Zhen Lei, Yang Yang, Stan Z. Li:
Stacked Deformable Part Model with Shape Regression for Object Part Localization. ECCV (2) 2014: 568-583 - [c188]Shengcai Liao, Zhen Lei, Dong Yi, Stan Z. Li:
A benchmark study of large-scale unconstrained face recognition. IJCB 2014: 1-8 - [c187]Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li:
Aggregate channel features for multi-view face detection. IJCB 2014: 1-8 - [c186]Dong Yi, Zhen Lei, Shengcai Liao, Stan Z. Li:
Deep Metric Learning for Person Re-identification. ICPR 2014: 34-39 - [c185]Zhen Lei, Dong Yi, Stan Z. Li:
Local Gradient Order Pattern for Face Representation and Recognition. ICPR 2014: 387-392 - [c184]Yang Yang, Shengcai Liao, Zhen Lei, Dong Yi, Stan Z. Li:
Color Models and Weighted Covariance Estimation for Person Re-identification. ICPR 2014: 1874-1879 - [c183]Xiangyu Zhu, Dong Yi, Zhen Lei, Stan Z. Li:
Robust 3D Morphable Model Fitting by Sparse SIFT Flow. ICPR 2014: 4044-4049 - [c182]Yang Hu, Shengcai Liao, Dong Yi, Zhen Lei, Stan Z. Li:
Multi-camera Trajectory Mining: Database and Evaluation. ICPR 2014: 4684-4689 - [p6]Dong Yi, Zhen Lei, Zhiwei Zhang, Stan Z. Li:
Face Anti-spoofing: Multi-spectral Approach. Handbook of Biometric Anti-Spoofing 2014: 83-102 - [e8]Sébastien Marcel, Mark S. Nixon, Stan Z. Li:
Handbook of Biometric Anti-Spoofing - Trusted Biometrics under Spoofing Attacks. Advances in Computer Vision and Pattern Recognition, Springer 2014, ISBN 978-1-4471-6523-1 [contents] - [i10]Dong Yi, Zhen Lei, Shengcai Liao, Stan Z. Li:
Shared Representation Learning for Heterogeneous Face Recognition. CoRR abs/1406.1247 (2014) - [i9]Shengcai Liao, Yang Hu, Stan Z. Li:
Joint Dimension Reduction and Metric Learning for Person Re-identification. CoRR abs/1406.4216 (2014) - [i8]Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li:
Aggregate channel features for multi-view face detection. CoRR abs/1407.4023 (2014) - [i7]Dong Yi, Zhen Lei, Stan Z. Li:
Deep Metric Learning for Practical Person Re-Identification. CoRR abs/1407.4979 (2014) - [i6]Shengcai Liao, Zhipeng Mo, Yang Hu, Stan Z. Li:
Open-set Person Re-identification. CoRR abs/1408.0872 (2014) - [i5]Shengcai Liao, Anil K. Jain, Stan Z. Li:
A Fast and Accurate Unconstrained Face Detector. CoRR abs/1408.1656 (2014) - [i4]Jianwei Yang, Zhen Lei, Stan Z. Li:
Learn Convolutional Neural Network for Face Anti-Spoofing. CoRR abs/1408.5601 (2014) - [i3]Dong Yi, Zhen Lei, Shengcai Liao, Stan Z. Li:
Learning Face Representation from Scratch. CoRR abs/1411.7923 (2014) - 2013
- [j54]Yiguang Liu, Stan Z. Li, Wei Wu, Ronggang Huang:
Dynamics of a mean-shift-like algorithm and its applications on clustering. Inf. Process. Lett. 113(1-2): 8-16 (2013) - [j53]Hong Han, Jianfei Zhu, Zhen Lei, Shengcai Liao, Stan Z. Li:
Discriminant analysis with Gabor phase feature for robust face recognition. J. Electronic Imaging 22(4): 043035 (2013) - [j52]Shengcai Liao, Anil K. Jain, Stan Z. Li:
Partial Face Recognition: Alignment-Free Approach. IEEE Trans. Pattern Anal. Mach. Intell. 35(5): 1193-1205 (2013) - [j51]Xiangsheng Huang, Zhen Lei, Mingyu Fan, Xiao Wang, Stan Z. Li:
Regularized Discriminative Spectral Regression Method for Heterogeneous Face Matching. IEEE Trans. Image Process. 22(1): 353-362 (2013) - [j50]Junping Zhang, Ziyu Xie, Stan Z. Li:
Prime Discriminant Simplicial Complex. IEEE Trans. Neural Networks Learn. Syst. 24(1): 133-144 (2013) - [c181]Stan Z. Li, Dong Yi, Zhen Lei, Shengcai Liao:
The CASIA NIR-VIS 2.0 Face Database. CVPR Workshops 2013: 348-353 - [c180]Yang Hu, Shengcai Liao, Zhen Lei, Dong Yi, Stan Z. Li:
Exploring Structural Information and Fusing Multiple Features for Person Re-identification. CVPR Workshops 2013: 794-799 - [c179]Junjie Yan, Xucong Zhang, Zhen Lei, Shengcai Liao, Stan Z. Li:
Robust Multi-resolution Pedestrian Detection in Traffic Scenes. CVPR 2013: 3033-3040 - [c178]Dong Yi, Zhen Lei, Stan Z. Li:
Towards Pose Robust Face Recognition. CVPR 2013: 3539-3545 - [c177]Zhaowei Cai, Longyin Wen, Dong Cao, Zhen Lei, Dong Yi, Stan Z. Li:
Person-specific face tracking with online recognition. FG 2013: 1-6 - [c176]Junjie Yan, Xucong Zhang, Zhen Lei, Dong Yi, Stan Z. Li:
Structural models for face detection. FG 2013: 1-6 - [c175]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:
The 2nd competition on counter measures to 2D face spoofing attacks. ICB 2013: 1-6 - [c174]Tao Wang, Jianwei Yang, Zhen Lei, Shengcai Liao, Stan Z. Li:
Face liveness detection using 3D structure recovered from a single camera. ICB 2013: 1-6 - [c173]Junjie Yan, Xucong Zhang, Zhen Lei, Stan Z. Li:
Real-time high performance deformable model for face detection in the wild. ICB 2013: 1-6 - [c172]Jianwei Yang, Zhen Lei, Shengcai Liao, Stan Z. Li:
Face liveness detection with component dependent descriptor. ICB 2013: 1-6 - [c171]Jianqing Zhu, Shengcai Liao, Zhen Lei, Dong Yi, Stan Z. Li:
Pedestrian Attribute Classification in Surveillance: Database and Evaluation. ICCV Workshops 2013: 331-338 - [c170]Junjie Yan, Zhen Lei, Dong Yi, Stan Z. Li:
Learn to Combine Multiple Hypotheses for Accurate Face Alignment. ICCV Workshops 2013: 392-396 - [c169]Jianwei Yang, Lixing Liu, Stan Z. Li:
Separating Specular and Diffuse Reflection Components in the HSI Color Space. ICCV Workshops 2013: 891-898 - [i2]Dong Yi, Zhen Lei, Yang Hu, Stan Z. Li:
Fast Matching by 2 Lines of Code for Large Scale Face Recognition Systems. CoRR abs/1302.7180 (2013) - 2012
- [j49]Zhen Lei, Zhiwei Zhang, Stan Z. Li:
Feature space locality constraint for kernel based nonlinear discriminant analysis. Pattern Recognit. 45(7): 2733-2742 (2012) - [j48]Zhen Lei, Stan Z. Li:
Fast multi-scale local phase quantization histogram for face recognition. Pattern Recognit. Lett. 33(13): 1761-1767 (2012) - [j47]Zhiwei Zhang, Dong Yi, Zhen Lei, Stan Z. Li:
Regularized Transfer Boosting for Face Detection Across Spectrum. IEEE Signal Process. Lett. 19(3): 131-134 (2012) - [j46]Zhen Lei, Shengcai Liao, Anil K. Jain, Stan Z. Li:
Coupled Discriminant Analysis for Heterogeneous Face Recognition. IEEE Trans. Inf. Forensics Secur. 7(6): 1707-1716 (2012) - [c168]Zhaowei Cai, Longyin Wen, Jianwei Yang, Zhen Lei, Stan Z. Li:
Structured Visual Tracking with Dynamic Graph. ACCV (3) 2012: 86-97 - [c167]Jianwei Yang, Zhaowei Cai, Longyin Wen, Zhen Lei, Guodong Guo, Stan Z. Li:
A New Projection Space for Separation of Specular-Diffuse Reflection Components in Color Images. ACCV (4) 2012: 418-429 - [c166]Zhen Lei, Stan Z. Li:
Learning Discriminant Face Descriptor for Face Recognition. ACCV (2) 2012: 748-759 - [c165]Xucong Zhang, Junjie Yan, Shikun Feng, Zhen Lei, Dong Yi, Stan Z. Li:
Water Filling: Unsupervised People Counting via Vertical Kinect Sensor. AVSS 2012: 215-220 - [c164]Jianwei Yang, Shizheng Wang, Zhen Lei, Yanyun Zhao, Stan Z. Li:
Spatio-temporal LBP Based Moving Object Segmentation in Compressed Domain. AVSS 2012: 252-257 - [c163]Longyin Wen, Zhaowei Cai, Menglong Yang, Zhen Lei, Dong Yi, Stan Z. Li:
Online Multiple Instance Joint Model for Visual Tracking. AVSS 2012: 319-324 - [c162]Dong Cao, Zhen Lei, Zhiwei Zhang, Jun Feng, Stan Z. Li:
Human Age Estimation Using Ranking SVM. CCBR 2012: 324-331 - [c161]Shikun Feng, Zhen Lei, Dong Yi, Stan Z. Li:
Online content-aware video condensation. CVPR 2012: 2082-2087 - [c160]Zhen Lei, Dong Yi, Stan Z. Li:
Discriminant image filter learning for face recognition with local binary pattern like representation. CVPR 2012: 2512-2517 - [c159]Junjie Yan, Zhen Lei, Dong Yi, Stan Z. Li:
Multi-pedestrian detection in crowded scenes: A global view. CVPR 2012: 3124-3129 - [c158]Longyin Wen, Zhaowei Cai, Zhen Lei, Dong Yi, Stan Z. Li:
Online Spatio-temporal Structural Context Learning for Visual Tracking. ECCV (4) 2012: 716-729 - [c157]Junjie Yan, Zhiwei Zhang, Zhen Lei, Dong Yi, Stan Z. Li:
Face liveness detection by exploring multiple scenic clues. ICARCV 2012: 188-193 - [c156]Zhen Lei, Changtao Zhou, Dong Yi, Anil K. Jain, Stan Z. Li:
An improved coupled spectral regression for heterogeneous face recognition. ICB 2012: 7-12 - [c155]Jianfei Zhu, Dong Cao, Sifei Liu, Zhen Lei, Stan Z. Li:
Discriminant analysis with Gabor phase for robust face recognition. ICB 2012: 13-18 - [c154]Zhiwei Zhang, Junjie Yan, Sifei Liu, Zhen Lei, Dong Yi, Stan Z. Li:
A face antispoofing database with diverse attacks. ICB 2012: 26-31 - [c153]Sifei Liu, Dong Yi, Zhen Lei, Stan Z. Li:
Heterogeneous face image matching using multi-scale features. ICB 2012: 79-84 - [c152]Zhen Lei, Shengcai Liao, Stan Z. Li:
Efficient feature selection for linear discriminant analysis and its application to face recognition. ICPR 2012: 1136-1139 - 2011
- [j45]Guoying Zhao, Xiaohua Huang, Matti Taini, Stan Z. Li, Matti Pietikäinen:
Facial expression recognition from near-infrared videos. Image Vis. Comput. 29(9): 607-619 (2011) - [j44]Zhen Lei, Stan Z. Li:
Contextual constraints based linear discriminant analysis. Pattern Recognit. Lett. 32(4): 626-632 (2011) - [j43]Zhen Lei, Shengcai Liao, Matti Pietikäinen, Stan Z. Li:
Face Recognition by Exploring Information Jointly in Space, Scale and Orientation. IEEE Trans. Image Process. 20(1): 247-256 (2011) - [c151]Zhen Lei, Timo Ahonen, Matti Pietikäinen, Stan Z. Li:
Local frequency descriptor for low-resolution face recognition. FG 2011: 161-166 - [c150]Dong Yi, Stan Z. Li:
Learning sparse feature for eyeglasses problem in face recognition. FG 2011: 430-435 - [c149]Zhiwei Zhang, Dong Yi, Zhen Lei, Stan Z. Li:
Face liveness detection by learning multispectral reflectance distributions. FG 2011: 436-441 - [c148]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:
Competition on counter measures to 2-D facial spoofing attacks. IJCB 2011: 1-6 - [c147]Junjie Yan, Zhen Lei, Dong Yi, Stan Z. Li:
Towards incremental and large scale face recognition. IJCB 2011: 1-6 - [c146]Dong Yi, Zhen Lei, Stan Z. Li:
A robust eye localization method for low quality face images. IJCB 2011: 1-6 - [c145]Changtao Zhou, Zhiwei Zhang, Dong Yi, Zhen Lei, Stan Z. Li:
Low-resolution face recognition via Simultaneous Discriminant Analysis. IJCB 2011: 1-6 - [c144]Yuanhao Yu, Zhen Lei, Dong Yi, Stan Z. Li:
Detecting individual in crowd with moving feature's structure consistency. ICCV Workshops 2011: 934-941 - [c143]Shizheng Wang, Jianwei Yang, Yanyun Zhao, Anni Cai, Stan Z. Li:
A surveillance video analysis and storage scheme for scalable synopsis browsing. ICCV Workshops 2011: 1947-1954 - [p5]Stan Z. Li, Anil K. Jain:
Introduction. Handbook of Face Recognition 2011: 1-15 - [p4]Stan Z. Li, Jianxin Wu:
Face Detection. Handbook of Face Recognition 2011: 277-303 - [p3]Stan Z. Li, Dong Yi:
Face Recognition Using Near Infrared Images. Handbook of Face Recognition 2011: 383-400 - [e7]Stan Z. Li, Anil K. Jain:
Handbook of Face Recognition, 2nd Edition. Springer 2011, ISBN 978-0-85729-931-4 [contents] - [r5]Stan Z. Li:
Biometrics in Video Surveillance. Encyclopedia of Cryptography and Security (2nd Ed.) 2011: 139-142 - [i1]Junping Zhang, Ziyu Xie, Stan Z. Li:
Nearest Prime Simplicial Complex for Object Recognition. CoRR abs/1106.0987 (2011) - 2010
- [j42]Ying Zheng, Stan Z. Li, Jianglong Chang, Zengfu Wang:
3D Modeling of Faces from Near Infrared Images Using Statistical Learning. Int. J. Pattern Recognit. Artif. Intell. 24(1): 55-71 (2010) - [c142]Shengcai Liao, Guoying Zhao, Vili Kellokumpu, Matti Pietikäinen, Stan Z. Li:
Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes. CVPR 2010: 1301-1306 - [c141]Shikun Feng, Shengcai Liao, Zhiyong Yuan, Stan Z. Li:
Online Principal Background Selection for Video Synopsis. ICPR 2010: 17-20 - [c140]Rui Qin, Shengcai Liao, Zhen Lei, Stan Z. Li:
Moving Cast Shadow Removal Based on Local Descriptors. ICPR 2010: 1377-1380
2000 – 2009
- 2009
- [b2]Stan Z. Li:
Markov Random Field Modeling in Image Analysis. Advances in Pattern Recognition, Springer 2009, ISBN 978-1-84800-278-4 - [j41]Wei-Shi Zheng, Jian-Huang Lai, Pong Chi Yuen, Stan Z. Li:
Perturbation LDA: Learning the difference between the class empirical mean and its expectation. Pattern Recognit. 42(5): 764-779 (2009) - [j40]Chenghua Xu, Stan Z. Li, Tieniu Tan, Long Quan:
Automatic 3D face recognition from depth and intensity Gabor features. Pattern Recognit. 42(9): 1895-1905 (2009) - [c139]Stan Z. Li, Zhen Lei, Meng Ao:
The HFB Face Database for Heterogeneous Face Biometrics research. CVPR Workshops 2009: 1-8 - [c138]Jitao Sang, Zhen Lei, Shengcai Liao, Stan Z. Li:
Adaptive object classification in surveillance system by exploiting scene context. CVPR Workshops 2009: 1-7 - [c137]Jie Chen, Dong Yi, Jimei Yang, Guoying Zhao, Stan Z. Li, Matti Pietikäinen:
Learning mappings for face synthesis from near infrared to visual light images. CVPR 2009: 156-163 - [c136]Zhen Lei, Stan Z. Li:
Coupled Spectral Regression for matching heterogeneous faces. CVPR 2009: 1123-1128 - [c135]Xiaotong Yuan, Stan Z. Li:
Stochastic gradient kernel density mode-seeking. CVPR 2009: 1926-1931 - [c134]Tianzhu Zhang, Hanqing Lu, Stan Z. Li:
Learning semantic scene models by object classification and trajectory clustering. CVPR 2009: 1940-1947 - [c133]Rui Wang, Zhen Lei, Meng Ao, Stan Z. Li:
Bayesian Face Recognition Based on Markov Random Field Modeling. ICB 2009: 42-51 - [c132]Zhen Lei, Shengcai Liao, Dong Yi, Rui Qin, Stan Z. Li:
A Discriminant Analysis Method for Face Recognition in Heteroscedastic Distributions. ICB 2009: 112-121 - [c131]Shengcai Liao, Dong Yi, Zhen Lei, Rui Qin, Stan Z. Li:
Heterogeneous Face Recognition from Local Structures of Normalized Appearance. ICB 2009: 209-218 - [c130]Jitao Sang, Zhen Lei, Stan Z. Li:
Face Image Quality Evaluation for ISO/IEC Standards 19794-5 and 29794-5. ICB 2009: 229-238 - [c129]Jimei Yang, Shengcai Liao, Stan Z. Li:
Automatic Partial Face Alignment in NIR Video Sequences. ICB 2009: 249-258 - [c128]Rui Wang, Jimei Yang, Dong Yi, Stan Z. Li:
An Analysis-by-Synthesis Method for Heterogeneous Face Biometrics. ICB 2009: 319-326 - [c127]Meng Ao, Stan Z. Li:
Near Infrared Face Based Biometric Key Binding. ICB 2009: 376-385 - [c126]Dong Yi, Shengcai Liao, Zhen Lei, Jitao Sang, Stan Z. Li:
Partial Face Matching between Near Infrared and Visual Images in MBGC Portal Challenge. ICB 2009: 733-742 - [c125]Vili Kellokumpu, Guoying Zhao, Stan Z. Li, Matti Pietikäinen:
Dynamic Texture Based Gait Recognition. ICB 2009: 1000-1009 - [c124]Shengcai Liao, Zhen Lei, Stan Z. Li:
Nonnegative Matrix Factorization with Gibbs Random Field modeling. ICCV Workshops 2009: 79-86 - [c123]Zhen Lei, Shengcai Liao, Stan Z. Li:
Stepwise Correlation metric based Discriminant Analysis and multi-probe images fusion for face recognition. ICCV Workshops 2009: 147-153 - [p2]Stan Z. Li, Ben A. M. Schouten, Massimo Tistarelli:
Biometrics at a Distance: Issues, Challenges, and Prospects. Handbook of Remote Biometrics 2009: 3-21 - [p1]Meng Ao, Dong Yi, Zhen Lei, Stan Z. Li:
Face Recognition at a Distance: System Issues. Handbook of Remote Biometrics 2009: 155-167 - [e6]Massimo Tistarelli, Stan Z. Li, Rama Chellappa:
Handbook of Remote Biometrics. Advances in Pattern Recognition, Springer 2009, ISBN 978-1-84882-384-6 [contents] - [e5]Stan Z. Li, Anil K. Jain:
Encyclopedia of Biometrics. Springer US 2009, ISBN 978-0-387-73002-8 [contents] - [r4]Stan Z. Li, Dong Yi:
Face Recognition, Near-Infrared. Encyclopedia of Biometrics 2009: 352-355 - [r3]Stan Z. Li:
Heterogeneous Face Biometrics. Encyclopedia of Biometrics 2009: 700-702 - [r2]Dong Yi, Weilong Yang, Stan Z. Li:
Skin Spectroscopy. Encyclopedia of Biometrics 2009: 1224-1229 - [r1]XiangXin Zhu, Zhen Lei, Stan Z. Li:
Skin Texture. Encyclopedia of Biometrics 2009: 1229-1232 - 2008
- [j39]Wei-Shi Zheng, Jian-Huang Lai, Stan Z. Li:
1D-LDA vs. 2D-LDA: When is vector-based linear discriminant analysis better than matrix-based? Pattern Recognit. 41(7): 2156-2172 (2008) - [j38]Stan Z. Li:
Nearest feature line. Scholarpedia 3(3): 4357 (2008) - [c122]Zhen Lei, Qinqun Bai, Ran He, Stan Z. Li:
Face shape recovery from a single image using CCA mapping between tensor spaces. CVPR 2008 - [c121]Bin Fan, Zhen Lei, Stan Z. Li:
Normalized LDA for semi-supervised learning. FG 2008: 1-6 - [c120]Ran He, Zhen Lei, Xiaotong Yuan, Stan Z. Li:
Regularized active shape model for shape alignment. FG 2008: 1-6 - [c119]Zhen Lei, Shengcai Liao, Ran He, Matti Pietikäinen, Stan Z. Li:
Gabor volume based local binary pattern for face representation and recognition. FG 2008: 1-6 - [c118]Weilong Yang, Dong Yi, Zhen Lei, Jitao Sang, Stan Z. Li:
2D-3D face matching using CCA. FG 2008: 1-6 - [c117]Matti Taini, Guoying Zhao, Stan Z. Li, Matti Pietikäinen:
Facial expression recognition from near-infrared video sequences. ICPR 2008: 1-4 - [c116]Min Xu, Stan Z. Li, Bin Li, Xiaotong Yuan, Shiming Xiang:
A set theoretical method for video synopsis. Multimedia Information Retrieval 2008: 366-370 - 2007
- [j37]Stan Z. Li, Rufeng Chu, Shengcai Liao, Lun Zhang:
Illumination Invariant Face Recognition Using Near-Infrared Images. IEEE Trans. Pattern Anal. Mach. Intell. 29(4): 627-639 (2007) - [c115]Rufeng Chu, Zhen Lei, Yufei Han, Ran He, Stan Z. Li:
Learning Gabor Magnitude Features for Palmprint Recognition. ACCV (2) 2007: 22-31 - [c114]Ran He, Stan Z. Li, Zhen Lei, Shengcai Liao:
Coarse-to-Fine Statistical Shape Model by Bayesian Inference. ACCV (1) 2007: 54-64 - [c113]Xiaotong Yuan, Stan Z. Li, Ran He:
Color Constancy Via Convex Kernel Optimization. ACCV (1) 2007: 728-737 - [c112]Abdenour Hadid, Matti Pietikäinen, Stan Z. Li:
Learning Personal Specific Facial Dynamics for Face Recognition from Videos. AMFG 2007: 1-15 - [c111]Shengcai Liao, Zhen Lei, Stan Z. Li, Xiaotong Yuan, Ran He:
Structured Ordinal Features for Appearance-Based Object Representation. AMFG 2007: 183-192 - [c110]Rufeng Chu, Shengcai Liao, Yufei Han, Zhenan Sun, Stan Z. Li, Tieniu Tan:
Fusion of Face and Palmprint for Personal Identification Based on Ordinal Features. CVPR 2007 - [c109]Ke Pan, Shengcai Liao, Zhijian Zhang, Stan Z. Li, Peiren Zhang:
Part-based Face Recognition Using Near Infrared Images. CVPR 2007 - [c108]Lun Zhang, Stan Z. Li, Xiaotong Yuan, Shiming Xiang:
Real-time Object Classification in Video Surveillance Based on Appearance Learning. CVPR 2007 - [c107]Lun Zhang, Rufeng Chu, Shiming Xiang, Shengcai Liao, Stan Z. Li:
Face Detection Based on Multi-Block LBP Representation. ICB 2007: 11-18 - [c106]Zhen Lei, Stan Z. Li, Rufeng Chu, XiangXin Zhu:
Face Recognition with Local Gabor Textons. ICB 2007: 49-57 - [c105]