| 2026 | AAAI | Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrdinger Bridges. | Changxi Chi, Yufei Huang, Jun Xia, Jiangbin Zheng, Yunfan Liu, Zelin Zang, Stan Z. Li |
| 2026 | AAAI | MergeDNA: Context-Aware Genome Modeling with Dynamic Tokenization Through Token Merging. | Siyuan Li, Kai Yu, Anna Wang, Zicheng Liu, Chang Yu, Jingbo Zhou, Qirong Yang, Yucheng Guo, Xiaoming Zhang, Stan Z. Li |
| 2026 | AAAI | Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling. | Mengran Li, Zelin Zang, Wenbin Xing, Junzhou Chen, Ronghui Zhang, Jiebo Luo, Stan Z. Li |
| 2026 | WWW | VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention. | Jingbo Zhou, Jun Xia, Siyuan Li, Yunfan Liu, Wenjun Wang, Yufei Huang, Changxi Chi, Mutian Hong, Zhuoli Ouyang, Shu Wang, Zhongqi Wang, Xingyu Wu, Chang Yu, Stan Z. Li |
| 2025 | AAAI | Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling. | Fang Wu, Bozhen Hu, Stan Z. Li |
| 2025 | AAAI | 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 |
| 2025 | AAAI | FoldToken: Learning Protein Language via Vector Quantization and Beyond. | Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li |
| 2025 | AAAI | 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 |
| 2025 | ICASSP | Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design. | Jiangbin Zheng, Ge Wang, Han Zhang, Stan Z. Li |
| 2025 | ICASSP | DapPep: Domain Adaptive Peptide-agnostic Learning for Universal T-cell Receptor-antigen Binding Affinity Prediction. | Jiangbin Zheng, Qianhui Xu, Ruichen Xia, Stan Z. Li |
| 2025 | ICCV | G2PDiffusion: Cross-Species Genotype-to-Phenotype Prediction Via Evolutionary Diffusion. | Mengdi Liu, Zhangyang Gao, Hong Chang, Stan Z. Li, Shiguang Shan, Xilin Chen |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | A Simple yet Effective ΔΔG Predictor is An Unsupervised Antibody Optimizer and Explainer. | Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Guojiang Zhao, Zhifeng Gao, Stan Z. Li |
| 2025 | ICLR | Bridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovo. | Jun Xia, Sizhe Liu, Jingbo Zhou, Shaorong Chen, Hongxin Xiang, Zicheng Liu, Yue Liu, Stan Z. Li |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing. | Jun Xia, Jingbo Zhou, Shaorong Chen, Tianze Ling, Stan Z. Li |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | CIKM | Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation. | Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Stan Z. Li |
| 2024 | CVPR | General Point Model Pretraining with Autoencoding and Autoregressive. | Zhe Li, Zhangyang Gao, Cheng Tan, Bocheng Ren, Laurence T. Yang, Stan Z. Li |
| 2024 | CVPR | 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 |
| 2024 | ECCV | 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 |
| 2024 | EMNLP | InsertGNN: A Hierarchical Graph Neural Network for the TOEFL Sentence Insertion Problem. | Fang Wu, Stan Z. Li |
| 2024 | ICASSP | Deep Manifold Transformation for Protein Representation Learning. | Bozhen Hu, Zelin Zang, Cheng Tan, Stan Z. Li |
| 2024 | ICDE | DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning. | Jun Xia, Shaorong Chen, Yue Liu, Zhangyang Gao, Jiangbin Zheng, Xihong Yang, Stan Z. Li |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | SemiReward: A General Reward Model for Semi-supervised Learning. | Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z. Li |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer. | Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces. | Fang Wu, Stan Z. Li |
| 2024 | ICML | 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 |
| 2024 | IJCAI | LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. | Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li |
| 2024 | ICPR | CCPL: Cross-Modal Contrastive Protein Learning. | Jiangbin Zheng, Stan Z. Li |
| 2023 | AAAI | DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations. | Fang Wu, Stan Z. Li |
| 2023 | AAAI | 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 |
| 2023 | AAAI | Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs. | Fang Wu, Dragomir Radev, Stan Z. Li |
| 2023 | CVPR | Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. | Cheng Tan, Zhangyang Gao, Lirong Wu, Yongjie Xu, Jun Xia, Siyuan Li, Stan Z. Li |
| 2023 | CVPR | 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 |
| 2023 | ICASSP | Deep Manifold Graph Auto-Encoder For Attributed Graph Embedding. | Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li |
| 2023 | ICASSP | Global-Context Aware Generative Protein Design. | Cheng Tan, Zhangyang Gao, Jun Xia, Bozhen Hu, Stan Z. Li |
| 2023 | ICASSP | Wordreg: Mitigating the Gap between Training and Inference with Worst-Case Drop Regularization. | Jun Xia, Ge Wang, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Yongjie Xu, Stan Z. Li |
| 2023 | ICCV | 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 |
| 2023 | ICLR | PiFold: Toward effective and efficient protein inverse folding. | Zhangyang Gao, Cheng Tan, Stan Z. Li |
| 2023 | ICLR | 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 |
| 2023 | ICML | Dink-Net: Neural Clustering on Large Graphs. | Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li |
| 2023 | ICML | High-dimensional Clustering onto Hamiltonian Cycle. | Tianyi Huang, Shenghui Cheng, Stan Z. Li, Zhengjun Zhang |
| 2023 | ICML | Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. | Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z. Li |
| 2023 | ICML | Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. | Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li |
| 2023 | ICML | 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 |
| 2023 | IJCAI | A Systematic Survey of Chemical Pre-trained Models. | Jun Xia, Yanqiao Zhu, Yuanqi Du, Stan Z. Li |
| 2023 | WWW | Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions. | Yun Luo, Zihan Liu, Stan Z. Li, Yue Zhang |
| 2022 | AAAI | Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting. | Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li |
| 2022 | ACL | Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. | Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li |
| 2022 | BMVC | Exploring Localization for Self-supervised Fine-grained Contrastive Learning. | Di Wu, Siyuan Li, Zelin Zang, Stan Z. Li |
| 2022 | CIKM | Are Gradients on Graph Structure Reliable in Gray-box Attacks? | Zihan Liu, Yun Luo, Lirong Wu, Siyuan Li, Zicheng Liu, Stan Z. Li |
| 2022 | COLING | Exploiting Sentiment and Common Sense for Zero-shot Stance Detection. | Yun Luo, Zihan Liu, Yuefeng Shi, Stan Z. Li, Yue Zhang |
| 2022 | CVPR | Hyperspherical Consistency Regularization. | Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li |
| 2022 | CVPR | SimVP: Simpler yet Better Video Prediction. | Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li |
| 2022 | ECCV | AutoMix: Unveiling the Power of Mixup for Stronger Classifiers. | Zicheng Liu, Siyuan Li, Di Wu, Zihan Liu, Zhiyuan Chen, Lirong Wu, Stan Z. Li |
| 2022 | ECCV | 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 |
| 2022 | ECCV | 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 |
| 2022 | ICASSP | OT Cleaner: Label Correction as Optimal Transport. | Jun Xia, Cheng Tan, Lirong Wu, Yongjie Xu, Stan Z. Li |
| 2022 | ICML | ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning. | Jun Xia, Lirong Wu, Ge Wang, Jintao Chen, Stan Z. Li |
| 2022 | WWW | SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation. | Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li |
| 2022 | WACV | Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation. | Lirong Wu, Zicheng Liu, Jun Xia, Zelin Zang, Siyuan Li, Stan Z. Li |
| 2022 | WSDM | Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks. | Zihan Liu, Yun Luo, Zelin Zang, Stan Z. Li |
| 2021 | CVPR | Face Forgery Detection by 3D Decomposition. | Xiangyu Zhu, Hao Wang, Hongyan Fei, Zhen Lei, Stan Z. Li |
| 2021 | WACV | 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 |
| 2020 | AAAI | PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes. | Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou |
| 2020 | AAAI | Relational Learning for Joint Head and Human Detection. | Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou |
| 2020 | AAAI | Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Networks. | Zichang Tan, Yang Yang, Jun Wan, Guodong Guo, Stan Z. Li |
| 2020 | CVPR | Learning Meta Face Recognition in Unseen Domains. | Jianzhu Guo, Xiangyu Zhu, Chenxu Zhao, Dong Cao, Zhen Lei, Stan Z. Li |
| 2020 | CVPR | Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection. | Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, Stan Z. Li |
| 2020 | CVPR | Context-Aware Attention Network for Image-Text Retrieval. | Qi Zhang, Zhen Lei, Zhaoxiang Zhang, Stan Z. Li |
| 2020 | ECCV | Towards Fast, Accurate and Stable 3D Dense Face Alignment. | Jianzhu Guo, Xiangyu Zhu, Yang Yang, Fan Yang, Zhen Lei, Stan Z. Li |
| 2020 | ECCV | 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 |
| 2020 | IJCNN | Neighborhood-Aware Attention Network for Semi-supervised Face Recognition. | Qi Zhang, Zhen Lei, Stan Z. Li |
| 2019 | AAAI | Selective Refinement Network for High Performance Face Detection. | Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou |
| 2019 | AVSS | 3DMA: A Multi-modality 3D Mask Face Anti-spoofing Database. | Jinchuan Xiao, Yinhang Tang, Jianzhu Guo, Yang Yang, Xiangyu Zhu, Zhen Lei, Stan Z. Li |
| 2019 | CVPR | 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 |
| 2019 | CVPR | AdaptiveFace: Adaptive Margin and Sampling for Face Recognition. | Hao Liu, Xiangyu Zhu, Zhen Lei, Stan Z. Li |
| 2019 | CVPR | A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing. | Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao, Jun Wan, Sergio Escalera, Hailin Shi, Zezheng Wang, Stan Z. Li |
| 2019 | ICCV | Unsupervised Graph Association for Person Re-Identification. | Jinlin Wu, Hao Liu, Yang Yang, Zhen Lei, Shengcai Liao, Stan Z. Li |
| 2019 | IJCAI | Deeply-learned Hybrid Representations for Facial Age Estimation. | Zichang Tan, Yang Yang, Jun Wan, Guodong Guo, Stan Z. Li |
| 2018 | CVPR | Single-Shot Refinement Neural Network for Object Detection. | Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li |
| 2018 | ECCV | Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd. | Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li |
| 2018 | IJCAI | Ensemble Soft-Margin Softmax Loss for Image Classification. | Xiaobo Wang, Shifeng Zhang, Zhen Lei, Si Liu, Xiaojie Guo, Stan Z. Li |
| 2017 | AAAI | Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification. | Yang Yang, Longyin Wen, Siwei Lyu, Stan Z. Li |
| 2017 | CVPR | Exclusivity-Consistency Regularized Multi-view Subspace Clustering. | Xiaobo Wang, Xiaojie Guo, Zhen Lei, Changqing Zhang, Stan Z. Li |
| 2017 | ICCV | S^3FD: Single Shot Scale-Invariant Face Detector. | Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li |
| 2017 | ICONIP | Soft-Margin Softmax for Deep Classification. | Xuezhi Liang, Xiaobo Wang, Zhen Lei, Shengcai Liao, Stan Z. Li |
| 2016 | AAAI | Large Scale Similarity Learning Using Similar Pairs for Person Verification. | Yang Yang, Shengcai Liao, Zhen Lei, Stan Z. Li |
| 2016 | AAAI | Metric Embedded Discriminative Vocabulary Learning for High-Level Person Representation. | Yang Yang, Zhen Lei, Shifeng Zhang, Hailin Shi, Stan Z. Li |
| 2016 | ACCV | Face Detection by Aggregating Visible Components. | Jiali Duan, Shengcai Liao, Xiaoyuan Guo, Stan Z. Li |
| 2016 | ACCV | Age Estimation Based on a Single Network with Soft Softmax of Aging Modeling. | Zichang Tan, Shuai Zhou, Jun Wan, Zhen Lei, Stan Z. Li |
| 2016 | CVPR | Learning Discriminative Features with Class Encoder. | Hailin Shi, Xiangyu Zhu, Zhen Lei, Shengcai Liao, Stan Z. Li |
| 2016 | CVPR | 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 |
| 2016 | CVPR | CRAFT Objects from Images. | Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li |
| 2016 | CVPR | Face Alignment Across Large Poses: A 3D Solution. | Xiangyu Zhu, Zhen Lei, Xiaoming Liu, Hailin Shi, Stan Z. Li |
| 2016 | ECCV | 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 |
| 2015 | CVPR | Person re-identification by Local Maximal Occurrence representation and metric learning. | Shengcai Liao, Yang Hu, Xiangyu Zhu, Stan Z. Li |
| 2015 | CVPR | JOTS: Joint Online Tracking and Segmentation. | Longyin Wen, Dawei Du, Zhen Lei, Stan Z. Li, Ming-Hsuan Yang |
| 2015 | CVPR | Object detection by labeling superpixels. | Junjie Yan, Yinan Yu, Xiangyu Zhu, Zhen Lei, Stan Z. Li |
| 2015 | CVPR | High-fidelity Pose and Expression Normalization for face recognition in the wild. | Xiangyu Zhu, Zhen Lei, Junjie Yan, Dong Yi, Stan Z. Li |
| 2015 | ICCV | Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification. | Shengcai Liao, Stan Z. Li |
| 2015 | ICCV | Adaptively Unified Semi-Supervised Dictionary Learning with Active Points. | Xiaobo Wang, Xiaojie Guo, Stan Z. Li |
| 2015 | ICCV | Convolutional Channel Features. | Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li |
| 2015 | WACV | Online Visual Tracking Using Temporally Coherent Part Cluster. | Wenbo Li, Longyin Wen, Mooi Choo Chuah, Yi Zhang, Zhen Lei, Stan Z. Li |
| 2014 | ACCV | Cross Dataset Person Re-identification. | Yang Hu, Dong Yi, Shengcai Liao, Zhen Lei, Stan Z. Li |
| 2014 | ACCV | Learning Discriminative Hidden Structural Parts for Visual Tracking. | Longyin Wen, Zhaowei Cai, Dawei Du, Zhen Lei, Stan Z. Li |
| 2014 | ACCV | Adaptive Structural Model for Video Based Pedestrian Detection. | Junjie Yan, Bin Yang, Zhen Lei, Stan Z. Li |
| 2014 | ACCV | Age Estimation by Multi-scale Convolutional Network. | Dong Yi, Zhen Lei, Stan Z. Li |
| 2014 | ACCV | Improve Pedestrian Attribute Classification by Weighted Interactions from Other Attributes. | Jianqing Zhu, Shengcai Liao, Zhen Lei, Stan Z. Li |
| 2014 | CVPR | Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph. | Longyin Wen, Wenbo Li, Junjie Yan, Zhen Lei, Dong Yi, Stan Z. Li |
| 2014 | CVPR | A Probabilistic Framework for Multitarget Tracking with Mutual Occlusions. | Menglong Yang, Yiguang Liu, Longyin Wen, Zhisheng You, Stan Z. Li |
| 2014 | CVPR | The Fastest Deformable Part Model for Object Detection. | Junjie Yan, Zhen Lei, Longyin Wen, Stan Z. Li |
| 2014 | ECCV | The Visual Object Tracking VOT2014 Challenge Results. | Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Toms Vojr, Gustavo Fernndez, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Hger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, Joo F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer fjll, 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 |
| 2014 | ECCV | Salient Color Names for Person Re-identification. | Yang Yang, Jimei Yang, Junjie Yan, Shengcai Liao, Dong Yi, Stan Z. Li |
| 2014 | ECCV | Stacked Deformable Part Model with Shape Regression for Object Part Localization. | Junjie Yan, Zhen Lei, Yang Yang, Stan Z. Li |
| 2014 | ICPR | Multi-camera Trajectory Mining: Database and Evaluation. | Yang Hu, Shengcai Liao, Dong Yi, Zhen Lei, Stan Z. Li |
| 2014 | ICPR | Local Gradient Order Pattern for Face Representation and Recognition. | Zhen Lei, Dong Yi, Stan Z. Li |
| 2014 | ICPR | Color Models and Weighted Covariance Estimation for Person Re-identification. | Yang Yang, Shengcai Liao, Zhen Lei, Dong Yi, Stan Z. Li |
| 2014 | ICPR | Deep Metric Learning for Person Re-identification. | Dong Yi, Zhen Lei, Shengcai Liao, Stan Z. Li |
| 2014 | ICPR | Robust 3D Morphable Model Fitting by Sparse SIFT Flow. | Xiangyu Zhu, Dong Yi, Zhen Lei, Stan Z. Li |
| 2013 | CVPR | Exploring Structural Information and Fusing Multiple Features for Person Re-identification. | Yang Hu, Shengcai Liao, Zhen Lei, Dong Yi, Stan Z. Li |
| 2013 | CVPR | The CASIA NIR-VIS 2.0 Face Database. | Stan Z. Li, Dong Yi, Zhen Lei, Shengcai Liao |
| 2013 | CVPR | Robust Multi-resolution Pedestrian Detection in Traffic Scenes. | Junjie Yan, Xucong Zhang, Zhen Lei, Shengcai Liao, Stan Z. Li |
| 2013 | CVPR | Towards Pose Robust Face Recognition. | Dong Yi, Zhen Lei, Stan Z. Li |
| 2012 | ACCV | Structured Visual Tracking with Dynamic Graph. | Zhaowei Cai, Longyin Wen, Jianwei Yang, Zhen Lei, Stan Z. Li |
| 2012 | ACCV | Learning Discriminant Face Descriptor for Face Recognition. | Zhen Lei, Stan Z. Li |
| 2012 | ACCV | A New Projection Space for Separation of Specular-Diffuse Reflection Components in Color Images. | Jianwei Yang, Zhaowei Cai, Longyin Wen, Zhen Lei, Guodong Guo, Stan Z. Li |
| 2012 | AVSS | Online Multiple Instance Joint Model for Visual Tracking. | Longyin Wen, Zhaowei Cai, Menglong Yang, Zhen Lei, Dong Yi, Stan Z. Li |
| 2012 | AVSS | Spatio-temporal LBP Based Moving Object Segmentation in Compressed Domain. | Jianwei Yang, Shizheng Wang, Zhen Lei, Yanyun Zhao, Stan Z. Li |
| 2012 | AVSS | Water Filling: Unsupervised People Counting via Vertical Kinect Sensor. | Xucong Zhang, Junjie Yan, Shikun Feng, Zhen Lei, Dong Yi, Stan Z. Li |
| 2012 | CVPR | Online content-aware video condensation. | Shikun Feng, Zhen Lei, Dong Yi, Stan Z. Li |
| 2012 | CVPR | Discriminant image filter learning for face recognition with local binary pattern like representation. | Zhen Lei, Dong Yi, Stan Z. Li |
| 2012 | CVPR | Multi-pedestrian detection in crowded scenes: A global view. | Junjie Yan, Zhen Lei, Dong Yi, Stan Z. Li |
| 2012 | ECCV | Online Spatio-temporal Structural Context Learning for Visual Tracking. | Longyin Wen, Zhaowei Cai, Zhen Lei, Dong Yi, Stan Z. Li |
| 2012 | ICARCV | Face liveness detection by exploring multiple scenic clues. | Junjie Yan, Zhiwei Zhang, Zhen Lei, Dong Yi, Stan Z. Li |
| 2012 | ICPR | Efficient feature selection for linear discriminant analysis and its application to face recognition. | Zhen Lei, Shengcai Liao, Stan Z. Li |
| 2010 | CVPR | Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes. | Shengcai Liao, Guoying Zhao, Vili Kellokumpu, Matti Pietikinen, Stan Z. Li |
| 2010 | ICPR | Online Principal Background Selection for Video Synopsis. | Shikun Feng, Shengcai Liao, Zhiyong Yuan, Stan Z. Li |
| 2010 | ICPR | Moving Cast Shadow Removal Based on Local Descriptors. | Rui Qin, Shengcai Liao, Zhen Lei, Stan Z. Li |
| 2009 | CVPR | Learning mappings for face synthesis from near infrared to visual light images. | Jie Chen, Dong Yi, Jimei Yang, Guoying Zhao, Stan Z. Li, Matti Pietikinen |
| 2009 | CVPR | Coupled Spectral Regression for matching heterogeneous faces. | Zhen Lei, Stan Z. Li |
| 2009 | CVPR | The HFB Face Database for Heterogeneous Face Biometrics research. | Stan Z. Li, Zhen Lei, Meng Ao |
| 2009 | CVPR | Adaptive object classification in surveillance system by exploiting scene context. | Jitao Sang, Zhen Lei, Shengcai Liao, Stan Z. Li |
| 2009 | CVPR | Stochastic gradient kernel density mode-seeking. | Xiaotong Yuan, Stan Z. Li |
| 2009 | CVPR | Learning semantic scene models by object classification and trajectory clustering. | Tianzhu Zhang, Hanqing Lu, Stan Z. Li |
| 2008 | CVPR | Face shape recovery from a single image using CCA mapping between tensor spaces. | Zhen Lei, Qinqun Bai, Ran He, Stan Z. Li |
| 2008 | ICPR | Facial expression recognition from near-infrared video sequences. | Matti Taini, Guoying Zhao, Stan Z. Li, Matti Pietikinen |
| 2007 | ACCV | Learning Gabor Magnitude Features for Palmprint Recognition. | Rufeng Chu, Zhen Lei, Yufei Han, Ran He, Stan Z. Li |
| 2007 | ACCV | Coarse-to-Fine Statistical Shape Model by Bayesian Inference. | Ran He, Stan Z. Li, Zhen Lei, Shengcai Liao |
| 2007 | ACCV | Color Constancy Via Convex Kernel Optimization. | Xiaotong Yuan, Stan Z. Li, Ran He |
| 2007 | CVPR | 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 |
| 2007 | CVPR | Part-based Face Recognition Using Near Infrared Images. | Ke Pan, Shengcai Liao, Zhijian Zhang, Stan Z. Li, Peiren Zhang |
| 2007 | CVPR | Real-time Object Classification in Video Surveillance Based on Appearance Learning. | Lun Zhang, Stan Z. Li, Xiaotong Yuan, Shiming Xiang |
| 2007 | ICCV | Half Quadratic Analysis for Mean Shift: with Extension to A Sequential Data Mode-Seeking Method. | Xiaotong Yuan, Stan Z. Li |
| 2007 | ICCV | On Constrained Sparse Matrix Factorization. | Wei-Shi Zheng, Stan Z. Li, Jian-Huang Lai, Shengcai Liao |
| 2006 | AVSS | Learning Feature Extraction and Classification for Tracking Multiple Objects: A Unified Framework. | Xiaotong Yuan, Stan Z. Li |
| 2006 | AVSS | A Random Field Model for Improved Feature Extraction and Tracking. | Xiaotong Yuan, Stan Z. Li |
| 2006 | ECCV | Learning Effective Intrinsic Features to Boost 3D-Based Face Recognition. | Chenghua Xu, Tieniu Tan, Stan Z. Li, Yunhong Wang, Cheng Zhong |
| 2005 | CVPR | Jensen-Shannon Boosting Learning for Object Recognition. | Xiangsheng Huang, Stan Z. Li, Yangsheng Wang |
| 2005 | CVPR | Ordinal Palmprint Represention for Personal Identification. | Zhenan Sun, Tieniu Tan, Yunhong Wang, Stan Z. Li |
| 2005 | CVPR | Real-Time Multiple Objects Tracking with Occlusion Handling in Dynamic Scenes. | Tao Yang, Stan Z. Li, Quan Pan, Jing Li |
| 2005 | ICITA | Automated Feature Points Management for Video Mosaic Construction. | Jing Li, Quan Pan, Tao Yang, Stan Z. Li |
| 2005 | PAKDD | Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning. | Junping Zhang, Stan Z. Li |
| 2004 | CVPR | Learning with Cascade for Classification of Non-Convex Manifolds. | Xiangsheng Huang, Stan Z. Li, Yangsheng Wang |
| 2004 | CVPR | Generalized Quotient Image. | Haitao Wang, Stan Z. Li, Yangsheng Wang |
| 2004 | CVPR | Boosting Local Feature Based Classifiers for Face Recognition. | Lei Zhang, Stan Z. Li, Zhi Yi Qu, Xiangsheng Huang |
| 2004 | ECCV | Statistical Learning of Evaluation Function for ASM/AAM Image Alignment. | Xiangsheng Huang, Stan Z. Li, Yangsheng Wang |
| 2004 | ECCV | Null Space Approach of Fisher Discriminant Analysis for Face Recognition. | Wei Liu, Yunhong Wang, Stan Z. Li, Tieniu Tan |
| 2004 | ICIG | Shape localization based on statistical method using extended local binary pattern. | Xiangsheng Huang, Stan Z. Li, Yangsheng Wang |
| 2004 | ICIG | Color based grayscale-fused image enhancement algorithm for video surveillance. | Stan Z. Li, Quan Pan, Tao Yang, Yongmei Cheng |
| 2004 | ICIG | Multiple layer based background maintenance in complex environment. | Tao Yang, Quan Pan, Stan Z. Li, Jing Li |
| 2004 | ICIP | Self quotient image for face recognition. | Haitao Wang, Stan Z. Li, Yangsheng Wang, Jian-Jun Zhang |
| 2004 | ICPR | Nearest Intra-Class Space Classifier for Face Recognition. | Wei Liu, Yunhong Wang, Stan Z. Li, Tieniu Tan |
| 2004 | ICPR | Real-Time Face Detection Using Boosting in Hierarchical Feature Spaces. | Dong Zhang, Stan Z. Li, Daniel Gatica-Perez |
| 2003 | CVPR | Face Alignment Using Statistical Models and Wavelet Features. | Feng Jiao, Stan Z. Li, Heung-Yeung Shum, Dale Schuurmans |
| 2003 | Interspeech | Learning to boost GMM based speaker verification. | Stan Z. Li, Dong Zhang, Chengyuan Ma, Heung-Yeung Shum, Eric Chang |
| 2002 | ECCV | Statistical Learning of Multi-view Face Detection. | Stan Z. Li, Long Zhu, ZhenQiu Zhang, Andrew Blake, HongJiang Zhang, Harry Shum |
| 2002 | ICARCV | A novel Bayesian shape model for facial feature extraction. | Zhong Xue, Stan Z. Li, Dinggang Shen, Eam Khwang Teoh |
| 2002 | ICASSP | Audio textures. | Lie Lu, Stan Z. Li, Liu Wenyin, Hong-Jiang Zhang, Yi Mao |
| 2002 | WACV | Multi-View Face Detection with FloatBoost. | ZhenQiu Zhang, Mingjing Li, Stan Z. Li, HongJiang Zhang |
| 2001 | CVPR | Learning Representative Local Features for Face Detection. | Xiangrong Chen, Lie Gu, Stan Z. Li, HongJiang Zhang |
| 2001 | CVPR | Learning Probabilistic Distribution Model for Multi-View Face Detection. | Lie Gu, Stan Z. Li, HongJiang Zhang |
| 2001 | CVPR | Direct Appearance Models. | Xinwen Hou, Stan Z. Li, HongJiang Zhang, QianSheng Cheng |
| 2001 | CVPR | Learning Spatially Localized, Parts-Based Representation. | Stan Z. Li, Xinwen Hou, HongJiang Zhang, QianSheng Cheng |
| 2001 | ICASSP | Distance-from-boundary as a metric for texture image retrieval. | Guodong Guo, Hong-Jiang Zhang, Stan Z. Li |
| 2001 | ICASSP | Learning topographic representation for multi-view image patterns. | Stan Z. Li, XiaoGuang Lv, HongJiang Zhang, QingDong Fu, Yimin Cheng |
| 2001 | ICASSP | Content-based retrieval of video shot using the-improved nearest feature line method. | Li Zhao, Wei Qi, Stan Z. Li, Shi-Qiang Yang, Hong-Jiang Zhang |
| 2001 | ICCV | Pairwise Face Recognition. | Guodong Guo, HongJiang Zhang, Stan Z. Li |
| 2001 | ICCV | Kernel Machine Based Learning for Multi-View Face Detection and Pose Estimation. | Stan Z. Li, QingDong Fu, Lie Gu, Bernhard Schlkopf, Yimin Cheng, HongJiang Zhang |
| 2001 | ICCV | View-Based Clustering of Object Appearances Based on Independent Subspace Analysis. | Stan Z. Li, XiaoGuang Lv, HongJiang Zhang |
| 2001 | ICCV | 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 |
| 2001 | ICIP | Facial feature extraction and image warping using PCA based statistic model. | Zhong Xue, Stan Z. Li, Eam Khwang Teoh |
| 2001 | Interspeech | Analysis of speaker variability. | Chao Huang, Tao Chen, Stan Z. Li, Eric Chang, Jian-Lai Zhou |
| 2000 | ECCV | Learning Similarity for Texture Image Retrieval. | Guodong Guo, Stan Z. Li, Kap Luk Chan |
| 2000 | ICPR | Combining Feature Optimization into Neural Network Based Face Detection. | Stan Z. Li, Qian Gu |
| 2000 | ICPR | Efficient Object Matching Using Affine-Invariant Deformable Contour. | Zhong Xue, Stan Z. Li, Eam Khwang Teoh |
| 2000 | ICPR | A Theoretical Justification of Nearest Feature Line Method. | Zonglin Zhou, Stan Z. Li, Kap Luk Chan |
| 1999 | ICCV | Modeling Bayesian Estimation for Deformable Contours. | Stan Z. Li, Juwei Lu |
| 1998 | ACCV | Edge-Preserving Smoothing by Convex Minimization. | Stan Z. Li, Y. H. Huang, J. S. Fu, Kap Luk Chan |
| 1998 | ACCV | Model-Based Active Object Recognition Using MRF Matching and Sensor Planning. | Tianrong Liu, Kap Luk Chan, Stan Z. Li |
| 1998 | CVPR | Face Recognition Based on Nearest Linear Combinations. | Stan Z. Li |
| 1998 | ECCV | A Two-Stage Probabilistic Approach for Object Recognition. | Stan Z. Li, Joachim Hornegger |
| 1998 | ICPR | Hierarchical linear combinations for face recognition. | Stan Z. Li, Juwei Lu, Kap Luk Chan, Jun Liu, Lei Wang |
| 1998 | ICPR | Texture classification using wavelet decomposition with Markov random field models. | Lei Wang, Jun Liu, Stan Z. Li |
| 1997 | KES | Document segmentation and classification with top-down approach. | Han Wang, Stan Z. Li, S. Ragupathi |
| 1996 | CVPR | Bayesian image restoration and segmentation by constrained optimizatio. | Stan Z. Li, Kap Luk Chan, Han Wang |
| 1996 | MVA | A Fast and Robust Approach for Document Segmentation and Classification. | Han Wang, Stan Z. Li, S. Ragupathi |
| 1995 | ACCV | Parallel Distributed Relaxation Labeling. | Stan Z. Li |
| 1995 | ICIP | Convex MRF potential functions. | Stan Z. Li, Y. H. Huang, J. S. Fu |
| 1994 | CVPR | A Markov random field model for object matching under contextual constraints. | Stan Z. Li |
| 1994 | ECCV | Markov Random Field Models in Computer Vision. | Stan Z. Li |
| 1994 | ICIP | Solving the Bas-relief Ambiguity. | Han Wang, Stan Z. Li |
| 1994 | ICPR | Relaxation labeling of Markov random fields. | Stan Z. Li, Han Wang, Maria Petrou |
| 1994 | MVA | Visual Control of a Robot Head. | Han Wang, Stan Z. Li, Eam Khwang Teoh |
| 1994 | MVA | A Statistically Unbiased Method for Computing the Rotation Angles from Image Sequences. | Han Wang, Stan Z. Li, Eam Khwang Teoh |
| 1992 | ECCV | Matching and Recognition of Road Networks from Aerial Images. | Stan Z. Li, Josef Kittler, Maria Petrou |
| 1990 | ICCV | Reconstruction without discontinuities. | Stan Z. Li |
| 1989 | IAS | 3D Object Recognition from Range Images: Computational Framwork and Neural Networks. | Stan Z. Li |