ML Anthology

Li, Stan Z.

190 publications

IJCAI 2025 A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing Jun Xia, Jingbo Zhou, Shaorong Chen, Tianze Ling, Stan Z. Li
ICLR 2025 A Simple yet Effective $\Delta\Delta G$ Predictor Is an Unsupervised Antibody Optimizer and Explainer Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Guojiang Zhao, Zhifeng Gao, Stan Z. Li
NeurIPS 2025 AlphaFold Database Debiasing for Robust Inverse Folding Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Siyuan Li, Yufei Huang, Stan Z. Li
ICLR 2025 Bridging the Gap Between Database Search and \emph{De Novo} Peptide Sequencing with SearchNovo Jun Xia, Sizhe Liu, Jingbo Zhou, Shaorong Chen, Hongxin Xiang, Zicheng Liu, Yue Liu, Stan Z. Li
ICLR 2025 CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Cheng Tan, Zicheng Liu, Zhifeng Gao, Stan Z. Li
TMLR 2025 Dynamics-Inspired Structure Hallucination for Protein-Protein Interaction Modeling Fang Wu, Stan Z. Li
ICLR 2025 EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow Yufei Huang, Yunshu Liu, Lirong Wu, Haitao Lin, Cheng Tan, Odin Zhang, Zhangyang Gao, Siyuan Li, Zicheng Liu, Yunfan Liu, Tailin Wu, Stan Z. Li
AAAI 2025 FoldToken: Learning Protein Language via Vector Quantization and Beyond Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li
ICCV 2025 G2PDiffusion: Cross-Species Genotype-to-Phenotype Prediction via Evolutionary Diffusion Mengdi Liu, Zhangyang Gao, Hong Chang, Stan Z. Li, Shiguang Shan, Xilin Chen
IJCAI 2025 GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype Changxi Chi, Jun Xia, Jingbo Zhou, Jiabei Cheng, Chang Yu, Stan Z. Li
AAAI 2025 Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling Fang Wu, Bozhen Hu, Stan Z. Li
TMLR 2025 MDTree: A Masked Dynamic Autoregressive Model for Phylogenetic Inference Zelin Zang, ChenRui Duan, Siyuan Li, Jinlin Wu, BingoWing-Kuen Ling, Fuji Yang, Jiebo Luo, Zhen Lei, Stan Z. Li
ICLR 2025 MeToken: Uniform Micro-Environment Token Boosts Post-Translational Modification Prediction Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Lirong Wu, Siyuan Li, Yufei Huang, Jun Xia, Bozhen Hu, Stan Z. Li
NeurIPS 2025 PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs Xinzhe Zheng, Hao Du, Fanding Xu, Jinzhe Li, Zhiyuan Liu, WenkangWang, Tao Chen, Wanli Ouyang, Stan Z. Li, Yan Lu, Nanqing Dong, Yang Zhang
ICLR 2025 ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing Shaorong Chen, Jun Xia, Jingbo Zhou, Lecheng Zhang, Zhangyang Gao, Bozhen Hu, Cheng Tan, Wenjie Du, Stan Z. Li
AAAI 2025 Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization Lirong Wu, Haitao Lin, Yufei Huang, Zhangyang Gao, Cheng Tan, Yunfan Liu, Tailin Wu, Stan Z. Li
IJCAI 2025 SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches Cheng Tan, Qi Chen, Jingxuan Wei, Gaowei Wu, Zhangyang Gao, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li
AAAI 2025 dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-Driven Pre-Binding Antigen Cheng Tan, Yijie Zhang, Zhangyang Gao, Yufei Huang, Haitao Lin, Lirong Wu, Fandi Wu, Mathieu Blanchette, Stan Z. Li
ICML 2024 A Graph Is Worth $k$ Words: Euclideanizing Graph Using Pure Transformer Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li
NeurIPS 2024 AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics Against Data Biases Jun Xia, Shaorong Chen, Jingbo Zhou, Xiaojun Shan, Wenjie Du, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jiangbin Zheng, Stan Z. Li
ECCV 2024 Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training Cheng Tan, Jingxuan Wei, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Ruifeng Guo, BiHui Yu, Stan Z. Li
NeurIPSW 2024 Bridging the Gap Between Database Search and \emph{De Novo} Peptide Sequencing with SearchNovo Jun Xia, Sizhe Liu, Jingbo Zhou, Shaorong Chen, Hongxin Xiang, Zicheng Liu, Yue Liu, Stan Z. Li
AAAI 2024 Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li
ICML 2024 Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective Cheng Tan, Zhangyang Gao, Hanqun Cao, Xingran Chen, Ge Wang, Lirong Wu, Jun Xia, Jiangbin Zheng, Stan Z. Li
ICLR 2024 Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-Training Tasks Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li
NeurIPS 2024 Deep Graph Neural Networks via Posteriori-Sampling-Based Node-Adaptative Residual Module Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Jun Xia, Zhizhi Yu, Zelin Zang, Di Jin, Carl Yang, Rui Zhang, Stan Z. Li
ICML 2024 DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-Based Data Augmentation Zelin Zang, Hao Luo, Kai Wang, Panpan Zhang, Fan Wang, Stan Z. Li, Yang You
NeurIPS 2024 FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li
NeurIPSW 2024 GeneGench: Systematic Evaluation of Genomic Foundation Models and Beyond Zicheng Liu, Jiahui Li, Lei Xin, Siyuan Li, Chang Yu, Zelin Zang, Cheng Tan, Yufei Huang, Yajingbai, Jun Xia, Stan Z. Li
CVPR 2024 General Point Model Pretraining with Autoencoding and Autoregressive Zhe Li, Zhangyang Gao, Cheng Tan, Bocheng Ren, Laurence T. Yang, Stan Z. Li
ICML 2024 GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation Haitao Lin, Lirong Wu, Yufei Huang, Yunfan Liu, Odin Zhang, Yuanqing Zhou, Rui Sun, Stan Z. Li
NeurIPS 2024 Instructor-Inspired Machine Learning for Robust Molecular Property Prediction Fang Wu, Shuting Jin, Siyuan Li, Stan Z. Li
ECML-PKDD 2024 Interpretable and Generalizable Spatiotemporal Predictive Learning with Disentangled Consistency Jingxuan Wei, Cheng Tan, Zhangyang Gao, Linzhuang Sun, Bihui Yu, Ruifeng Guo, Stan Z. Li
ICLR 2024 KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement Zhangyang Gao, Cheng Tan, Xingran Chen, Yijie Zhang, Jun Xia, Siyuan Li, Stan Z. Li
NeurIPS 2024 Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure Bozhen Hu, Cheng Tan, Jun Xia, Yue Liu, Lirong Wu, Jiangbin Zheng, Yongjie Xu, Yufei Huang, Stan Z. Li
ICML 2024 Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-Aware Hierarchical Prompt Learning Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V Chawla, Stan Z. Li
IJCAI 2024 LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li
ICLR 2024 MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V Chawla, Stan Z. Li
CVPR 2024 MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-Guided Contrastive Learning Zhe Li, Laurence T. Yang, Bocheng Ren, Xin Nie, Zhangyang Gao, Cheng Tan, Stan Z. Li
ICLR 2024 MogaNet: Multi-Order Gated Aggregation Network Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li
NeurIPS 2024 NovoBench: Benchmarking Deep Learning-Based \emph{De Novo} Sequencing Methods in Proteomics Jingbo Zhou, Shaorong Chen, Jun Xia, Sizhe Liu, Tianze Ling, Wenjie Du, Yue Liu, Jianwei Yin, Stan Z. Li
ICML 2024 PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching Haitao Lin, Odin Zhang, Huifeng Zhao, Dejun Jiang, Lirong Wu, Zicheng Liu, Yufei Huang, Stan Z. Li
AAAI 2024 PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li
NeurIPS 2024 PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation Chenrui Duan, Zelin Zang, Siyuan Li, Yongjie Xu, Stan Z. Li
NeurIPS 2024 ProtGO: Function-Guided Protein Modeling for Unified Representation Learning Bozhen Hu, Cheng Tan, Yongjie Xu, Zhangyang Gao, Jun Xia, Lirong Wu, Stan Z. Li
AAAI 2024 Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li
ICLR 2024 RDesign: Hierarchical Data-Efficient Representation Learning for Tertiary Structure-Based RNA Design Cheng Tan, Yijie Zhang, Zhangyang Gao, Bozhen Hu, Siyuan Li, Zicheng Liu, Stan Z. Li
ICML 2024 Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li
ICLR 2024 SemiReward: A General Reward Model for Semi-Supervised Learning Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z. Li
ICML 2024 Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences Zicheng Liu, Siyuan Li, Li Wang, Zedong Wang, Yunfan Liu, Stan Z. Li
ICML 2024 Surface-VQMAE: Vector-Quantized Masked Auto-Encoders on Molecular Surfaces Fang Wu, Stan Z. Li
NeurIPS 2024 UniIF: Unified Molecule Inverse Folding Zhangyang Gao, Jue Wang, Cheng Tan, Lirong Wu, Yufei Huang, Siyuan Li, Zhirui Ye, Stan Z. Li
ICML 2024 VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li
AAAI 2024 Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations Xuesong Nie, Yunfeng Yan, Siyuan Li, Cheng Tan, Xi Chen, Haoyuan Jin, Zhihang Zhu, Stan Z. Li, Donglian Qi
NeurIPS 2023 A Hierarchical Training Paradigm for Antibody Structure-Sequence Co-Design Fang Wu, Stan Z. Li
IJCAI 2023 A Systematic Survey of Chemical Pre-Trained Models Jun Xia, Yanqiao Zhu, Yuanqi Du, Stan Z. Li
ICML 2023 Architecture-Agnostic Masked Image Modeling -- from ViT Back to CNN Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z. Li
ICCV 2023 Boosting Novel Category Discovery over Domains with Soft Contrastive Learning and All in One Classifier Zelin Zang, Lei Shang, Senqiao Yang, Fei Wang, Baigui Sun, Xuansong Xie, Stan Z. Li
CVPR 2023 CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment Jiangbin Zheng, Yile Wang, Cheng Tan, Siyuan Li, Ge Wang, Jun Xia, Yidong Chen, Stan Z. Li
ECML-PKDD 2023 Co-Supervised Pre-Training of Pocket and Ligand Zhangyang Gao, Cheng Tan, Jun Xia, Stan Z. Li
AAAI 2023 DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations Fang Wu, Stan Z. Li
ICML 2023 Dink-Net: Neural Clustering on Large Graphs Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li
AAAI 2023 Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li
NeurIPS 2023 Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration Haitao Lin, Yufei Huang, Odin Zhang, Yunfan Liu, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li
NeurIPSW 2023 Generation of 3D Realistic Soil Particles with Metaball Descriptor Yifeng Zhao, Jinxin Liu, Xiangbo Gao, Pei Zhang, Stan Z. Li, Sergio Andres Galindo Torres
NeurIPS 2023 Harnessing Hard Mixed Samples with Decoupled Regularizer Zicheng Liu, Siyuan Li, Ge Wang, Lirong Wu, Cheng Tan, Stan Z. Li
ICML 2023 High-Dimensional Clustering onto Hamiltonian Cycle Tianyi Huang, Shenghui Cheng, Stan Z. Li, Zhengjun Zhang
ECML-PKDD 2023 Learning to Augment Graph Structure for Both Homophily and Heterophily Graphs Lirong Wu, Cheng Tan, Zihan Liu, Zhangyang Gao, Haitao Lin, Stan Z. Li
ICLR 2023 Mole-BERT: Rethinking Pre-Training Graph Neural Networks for Molecules Jun Xia, Chengshuai Zhao, Bozhen Hu, Zhangyang Gao, Cheng Tan, Yue Liu, Siyuan Li, Stan Z. Li
AAAI 2023 Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs Fang Wu, Dragomir Radev, Stan Z. Li
ICLRW 2023 Non-Equispaced Fourier Neural Solvers for PDEs Haitao Lin, Lirong Wu, Yongjie Xu, Yufei Huang, Siyuan Li, Guojiang Zhao, Stan Z. Li
NeurIPS 2023 OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li
ICLR 2023 PiFold: Toward Effective and Efficient Protein Inverse Folding Zhangyang Gao, Cheng Tan, Stan Z. Li
NeurIPS 2023 ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics Zhangyang Gao, Cheng Tan, Yijie Zhang, Xingran Chen, Lirong Wu, Stan Z. Li
ICML 2023 Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li
ICML 2023 Rethinking Explaining Graph Neural Networks via Non-Parametric Subgraph Matching Fang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z. Li
NeurIPSW 2023 Scalable Particle Generation for Granular Shape Study Yifeng Zhao, Jinxin Liu, Xiangbo Gao, Sergio Torres, Stan Z. Li
ECML-PKDD 2023 Target-Aware Molecular Graph Generation Cheng Tan, Zhangyang Gao, Stan Z. Li
CVPR 2023 Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning Cheng Tan, Zhangyang Gao, Lirong Wu, Yongjie Xu, Jun Xia, Siyuan Li, Stan Z. Li
NeurIPS 2023 Understanding the Limitations of Deep Models for Molecular Property Prediction: Insights and Solutions Jun Xia, Lecheng Zhang, Xiao Zhu, Yue Liu, Zhangyang Gao, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Siyuan Li, Stan Z. Li
ICMLW 2023 Why Deep Models Often Cannot Beat Non-Deep Counterparts on Molecular Property Prediction? Jun Xia, Lecheng Zhang, Xiao Zhu, Stan Z. Li
ECCV 2022 AutoMix: Unveiling the Power of Mixup for Stronger Classifiers Zicheng Liu, Siyuan Li, Di Wu, Zihan Liu, Zhiyuan Chen, Lirong Wu, Stan Z. Li
ECCV 2022 CAViT: Contextual Alignment Vision Transformer for Video Object Re-Identification Jinlin Wu, Lingxiao He, Wu Liu, Yang Yang, Zhen Lei, Tao Mei, Stan Z. Li
AAAI 2022 Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li
ECCV 2022 DLME: Deep Local-Flatness Manifold Embedding Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li
TMLR 2022 Exploring Generative Neural Temporal Point Process Haitao Lin, Lirong Wu, Guojiang Zhao, Liu Pai, Stan Z. Li
WACV 2022 Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation Lirong Wu, Zicheng Liu, Jun Xia, Zelin Zang, Siyuan Li, Stan Z. Li
ECML-PKDD 2022 GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-Supervised Context Prediction Lirong Wu, Jun Xia, Zhangyang Gao, Haitao Lin, Cheng Tan, Stan Z. Li
CVPR 2022 Hyperspherical Consistency Regularization Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li
NeurIPS 2022 Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li
ICMLW 2022 Pre-Training Graph Neural Networks for Molecular Representations: Retrospect and Prospect Jun Xia, Yanqiao Zhu, Yuanqi Du, Stan Z. Li
ICML 2022 ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning Jun Xia, Lirong Wu, Ge Wang, Jintao Chen, Stan Z. Li
CVPR 2022 SimVP: Simpler yet Better Video Prediction Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li
ICMLW 2022 Target-Aware Molecular Graph Generation Cheng Tan, Zhangyang Gao, Stan Z. Li
NeurIPS 2022 Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias Zihan Liu, Yun Luo, Lirong Wu, Zicheng Liu, Stan Z. Li
WACV 2021 CASIA-SURF CeFA: A Benchmark for Multi-Modal Cross-Ethnicity Face Anti-Spoofing Ajian Liu, Zichang Tan, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z. Li
CVPR 2021 Face Forgery Detection by 3D Decomposition Xiangyu Zhu, Hao Wang, Hongyan Fei, Zhen Lei, Stan Z. Li
ECML-PKDD 2021 Invertible Manifold Learning for Dimension Reduction Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li
ECCV 2020 Beyond 3DMM Space: Towards Fine-Grained 3D Face Reconstruction Xiangyu Zhu, Fan Yang, Di Huang, Chang Yu, Hao Wang, Jianzhu Guo, Zhen Lei, Stan Z. Li
AAAI 2020 PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou
AAAI 2020 Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Networks Zichang Tan, Yang Yang, Jun Wan, Guodong Guo, Stan Z. Li
AAAI 2020 Relational Learning for Joint Head and Human Detection Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou
ECCV 2020 Towards Fast, Accurate and Stable 3D Dense Face Alignment Jianzhu Guo, Xiangyu Zhu, Yang Yang, Fan Yang, Zhen Lei, Stan Z. Li
IJCAI 2019 Deeply-Learned Hybrid Representations for Facial Age Estimation Zichang Tan, Yang Yang, Jun Wan, Guodong Guo, Stan Z. Li
CVPRW 2019 Multi-Modal Face Anti-Spoofing Attack Detection Challenge at CVPR2019 Ajian Liu, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zichang Tan, Qi Yuan, Kai Wang, Chi Lin, Guodong Guo, Isabelle Guyon, Stan Z. Li
AAAI 2019 Selective Refinement Network for High Performance Face Detection Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou
IJCAI 2018 Ensemble Soft-Margin SoftMax Loss for Image Classification Xiaobo Wang, Shifeng Zhang, Zhen Lei, Si Liu, Xiaojie Guo, Stan Z. Li
ECCV 2018 Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li
CVPR 2017 Exclusivity-Consistency Regularized Multi-View Subspace Clustering Xiaobo Wang, Xiaojie Guo, Zhen Lei, Changqing Zhang, Stan Z. Li
ICCV 2017 S3FD: Single Shot Scale-Invariant Face Detector Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li
AAAI 2017 Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification Yang Yang, Longyin Wen, Siwei Lyu, Stan Z. Li
CVPR 2016 CRAFT Objects from Images Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li
CVPRW 2016 ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition Jun Wan, Stan Z. Li, Yibing Zhao, Shuai Zhou, Isabelle Guyon, Sergio Escalera
ECCV 2016 Embedding Deep Metric for Person Re-Identification: A Study Against Large Variations Hailin Shi, Yang Yang, Xiangyu Zhu, Shengcai Liao, Zhen Lei, Wei-Shi Zheng, Stan Z. Li
CVPR 2016 Face Alignment Across Large Poses: A 3D Solution Xiangyu Zhu, Zhen Lei, Xiaoming Liu, Hailin Shi, Stan Z. Li
AAAI 2016 Large Scale Similarity Learning Using Similar Pairs for Person Verification Yang Yang, Shengcai Liao, Zhen Lei, Stan Z. Li
CVPRW 2016 Learning Discriminative Features with Class Encoder Hailin Shi, Xiangyu Zhu, Zhen Lei, Shengcai Liao, Stan Z. Li
AAAI 2016 Metric Embedded Discriminative Vocabulary Learning for High-Level Person Representation Yang Yang, Zhen Lei, Shifeng Zhang, Hailin Shi, Stan Z. Li
ICCV 2015 Adaptively Unified Semi-Supervised Dictionary Learning with Active Points Xiaobo Wang, Xiaojie Guo, Stan Z. Li
ICCV 2015 Convolutional Channel Features Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li
ICCV 2015 Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification Shengcai Liao, Stan Z. Li
CVPR 2015 High-Fidelity Pose and Expression Normalization for Face Recognition in the Wild Xiangyu Zhu, Zhen Lei, Junjie Yan, Dong Yi, Stan Z. Li
CVPR 2015 JOTS: Joint Online Tracking and Segmentation Longyin Wen, Dawei Du, Zhen Lei, Stan Z. Li, Ming-Hsuan Yang
CVPR 2015 Object Detection by Labeling Superpixels Junjie Yan, Yinan Yu, Xiangyu Zhu, Zhen Lei, Stan Z. Li
WACV 2015 Online Visual Tracking Using Temporally Coherent Part Cluster Wenbo Li, Longyin Wen, Mooi Choo Chuah, Yi Zhang, Zhen Lei, Stan Z. Li
CVPR 2015 Person Re-Identification by Local Maximal Occurrence Representation and Metric Learning Shengcai Liao, Yang Hu, Xiangyu Zhu, Stan Z. Li
ICCVW 2015 When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition Guosheng Hu, Yongxin Yang, Dong Yi, Josef Kittler, William J. Christmas, Stan Z. Li, Timothy M. Hospedales
CVPR 2014 A Probabilistic Framework for Multitarget Tracking with Mutual Occlusions Menglong Yang, Yiguang Liu, Longyin Wen, Zhisheng You, Stan Z. Li
CVPR 2014 Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph Longyin Wen, Wenbo Li, Junjie Yan, Zhen Lei, Dong Yi, Stan Z. Li
ECCV 2014 Salient Color Names for Person Re-Identification Yang Yang, Jimei Yang, Junjie Yan, Shengcai Liao, Dong Yi, Stan Z. Li
ECCV 2014 Stacked Deformable Part Model with Shape Regression for Object Part Localization Junjie Yan, Zhen Lei, Yang Yang, Stan Z. Li
CVPR 2014 The Fastest Deformable Part Model for Object Detection Junjie Yan, Zhen Lei, Longyin Wen, Stan Z. Li
ECCVW 2014 The Visual Object Tracking VOT2014 Challenge Results 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
CVPRW 2013 Exploring Structural Information and Fusing Multiple Features for Person Re-Identification Yang Hu, Shengcai Liao, Zhen Lei, Dong Yi, Stan Z. Li
ICCVW 2013 Learn to Combine Multiple Hypotheses for Accurate Face Alignment Junjie Yan, Zhen Lei, Dong Yi, Stan Z. Li
ICCVW 2013 Pedestrian Attribute Classification in Surveillance: Database and Evaluation Jianqing Zhu, Shengcai Liao, Zhen Lei, Dong Yi, Stan Z. Li
CVPR 2013 Robust Multi-Resolution Pedestrian Detection in Traffic Scenes Junjie Yan, Xucong Zhang, Zhen Lei, Shengcai Liao, Stan Z. Li
ICCVW 2013 Separating Specular and Diffuse Reflection Components in the HSI Color Space Jianwei Yang, Lixing Liu, Stan Z. Li
CVPRW 2013 The CASIA NIR-VIS 2.0 Face Database Stan Z. Li, Dong Yi, Zhen Lei, Shengcai Liao
CVPR 2013 Towards Pose Robust Face Recognition Dong Yi, Zhen Lei, Stan Z. Li
CVPR 2012 Discriminant Image Filter Learning for Face Recognition with Local Binary Pattern like Representation Zhen Lei, Dong Yi, Stan Z. Li
CVPR 2012 Multi-Pedestrian Detection in Crowded Scenes: A Global View Junjie Yan, Zhen Lei, Dong Yi, Stan Z. Li
CVPR 2012 Online Content-Aware Video Condensation Shikun Feng, Zhen Lei, Dong Yi, Stan Z. Li
ECCV 2012 Online Spatio-Temporal Structural Context Learning for Visual Tracking Longyin Wen, Zhaowei Cai, Zhen Lei, Dong Yi, Stan Z. Li
CVPR 2010 Modeling Pixel Process with Scale Invariant Local Patterns for Background Subtraction in Complex Scenes Shengcai Liao, Guoying Zhao, Vili Kellokumpu, Matti Pietikäinen, Stan Z. Li
CVPRW 2009 Adaptive Object Classification in Surveillance System by Exploiting Scene Context Jitao Sang, Zhen Lei, Shengcai Liao, Stan Z. Li
CVPR 2009 Coupled Spectral Regression for Matching Heterogeneous Faces Zhen Lei, Stan Z. Li
CVPR 2009 Learning Mappings for Face Synthesis from near Infrared to Visual Light Images Jie Chen, Dong Yi, Jimei Yang, Guoying Zhao, Stan Z. Li, Matti Pietikäinen
CVPR 2009 Learning Semantic Scene Models by Object Classification and Trajectory Clustering Tianzhu Zhang, Hanqing Lu, Stan Z. Li
ICCVW 2009 Nonnegative Matrix Factorization with Gibbs Random Field Modeling Shengcai Liao, Zhen Lei, Stan Z. Li
ICCVW 2009 Stepwise Correlation Metric Based Discriminant Analysis and Multi-Probe Images Fusion for Face Recognition Zhen Lei, Shengcai Liao, Stan Z. Li
CVPR 2009 Stochastic Gradient Kernel Density Mode-Seeking Xiaotong Yuan, Stan Z. Li
CVPRW 2009 The HFB Face Database for Heterogeneous Face Biometrics Research Stan Z. Li, Zhen Lei, Meng Ao
CVPR 2008 Face Shape Recovery from a Single Image Using CCA Mapping Between Tensor Spaces Zhen Lei, Qinqun Bai, Ran He, Stan Z. Li
CVPR 2007 Fusion of Face and Palmprint for Personal Identification Based on Ordinal Features Rufeng Chu, Shengcai Liao, Yufei Han, Zhenan Sun, Stan Z. Li, Tieniu Tan
ICCV 2007 Half Quadratic Analysis for Mean Shift: With Extension to a Sequential Data Mode-Seeking Method Xiaotong Yuan, Stan Z. Li
ICCV 2007 On Constrained Sparse Matrix Factorization Wei-Shi Zheng, Stan Z. Li, Jian-Huang Lai, Shengcai Liao
CVPR 2007 Part-Based Face Recognition Using near Infrared Images Ke Pan, Shengcai Liao, Zhijian Zhang, Stan Z. Li, Peiren Zhang
CVPR 2007 Real-Time Object Classification in Video Surveillance Based on Appearance Learning Lun Zhang, Stan Z. Li, Xiaotong Yuan, Shiming Xiang
ECCV 2006 Learning Effective Intrinsic Features to Boost 3D-Based Face Recognition Chenghua Xu, Tieniu Tan, Stan Z. Li, Yunhong Wang, Cheng Zhong
CVPR 2005 Jensen-Shannon Boosting Learning for Object Recognition Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
CVPR 2005 Ordinal Palmprint Represention for Personal Identification Zhenan Sun, Tieniu Tan, Yunhong Wang, Stan Z. Li
CVPR 2005 Real-Time Multiple Objects Tracking with Occlusion Handling in Dynamic Scenes Tao Yang, Stan Z. Li, Quan Pan, Jing Li
CVPR 2004 Boosting Local Feature Based Classifiers for Face Recognition Lei Zhang, Stan Z. Li, Zhi Yi Qu, Xiangsheng Huang
CVPRW 2004 Boosting Local Feature Based Classifiers for Face Recognition Lei Zhang, Stan Z. Li, Zhi Yi Qu, Xiangsheng Huang
CVPR 2004 Generalized Quotient Image Haitao Wang, Stan Z. Li, Yangsheng Wang
CVPR 2004 Learning with Cascade for Classification of Non-Convex Manifolds Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
CVPRW 2004 Learning with Cascade for Classification of Non-Convex Manifolds Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
ECCV 2004 Null Space Approach of Fisher Discriminant Analysis for Face Recognition Wei Liu, Yunhong Wang, Stan Z. Li, Tieniu Tan
ECCV 2004 Statistical Learning of Evaluation Function for ASM/AAM Image Alignment Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
CVPR 2003 Face Alignment Using Statistical Models and Wavelet Features Feng Jiao, Stan Z. Li, Heung-Yeung Shum, Dale Schuurmans
NeurIPS 2002 FloatBoost Learning for Classification Stan Z. Li, Zhenqiu Zhang, Heung-yeung Shum, Hongjiang Zhang
ECCV 2002 Statistical Learning of Multi-View Face Detection Stan Z. Li, Long Zhu, ZhenQiu Zhang, Andrew Blake, HongJiang Zhang, Harry Shum
CVPR 2001 Direct Appearance Models Xinwen Hou, Stan Z. Li, HongJiang Zhang, QianSheng Cheng
ICCV 2001 Kernel Machine Based Learning for Multi-View Face Detection and Pose Estimation Stan Z. Li, QingDong Fu, Lie Gu, Bernhard Schölkopf, Yimin Cheng, HongJiang Zhang
ICCV 2001 Learning Low Dimensional Invariant Signature of 3-D Object Under Varying View and Illumination from 2-D Appearances Stan Z. Li, Jie Yan, Xinwen Hou, Zeyu Li, HongJiang Zhang
CVPR 2001 Learning Probabilistic Distribution Model for Multi-View Face Detection Lie Gu, Stan Z. Li, HongJiang Zhang
CVPR 2001 Learning Representative Local Features for Face Detection Xiangrong Chen, Lie Gu, Stan Z. Li, HongJiang Zhang
CVPR 2001 Learning Spatially Localized, Parts-Based Representation Stan Z. Li, Xinwen Hou, HongJiang Zhang, QianSheng Cheng
ICCV 2001 Pairwise Face Recognition Guodong Guo, HongJiang Zhang, Stan Z. Li
ICCV 2001 View-Based Clustering of Object Appearances Based on Independent Subspace Analysis Stan Z. Li, XiaoGuang Lv, HongJiang Zhang
ECCV 2000 Learning Similarity for Texture Image Retrieval Guodong Guo, Stan Z. Li, Kap Luk Chan
ICCV 1999 Modeling Bayesian Estimation for Deformable Contours Stan Z. Li, Juwei Lu
ECCV 1998 A Two-Stage Probabilistic Approach for Object Recognition Stan Z. Li, Joachim Hornegger
CVPR 1998 Face Recognition Based on Nearest Linear Combinations Stan Z. Li
CVPR 1996 Bayesian Image Restoration and Segmentation by Constrained Optimizatio Stan Z. Li, Kap Luk Chan, Han Wang
CVPR 1994 A Markov Random Field Model for Object Matching Under Contextual Constraints Stan Z. Li
ECCV 1994 Markov Random Field Models in Computer Vision Stan Z. Li
ECCV 1992 Matching and Recognition of Road Networks from Aerial Images Stan Z. Li, Josef Kittler, Maria Petrou
ICCV 1990 Reconstruction Without Discontinuities Stan Z. Li