Stan Z. Li

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 338

Top Venues

CoRR

CVPR

AAAI

IEEE Trans. Inf. Forensics Secur.

Publications

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 (2024)
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 (2024)
Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
Ge Wang, Zelin Zang, Jiangbin Zheng, Jun Xia, Stan Z. Li
Graph-level Protein Representation Learning by Structure Knowledge Refinement. CoRR (2024)
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) (2024)
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) (2024)
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 (2024)
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 (2024)
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 (2024)
Bozhen Hu, Zelin Zang, Cheng Tan, Stan Z. Li
Deep Manifold Transformation for Protein Representation Learning. CoRR (2024)
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) (2023)
Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li
Dink-Net: Neural Clustering on Large Graphs. ICML (2023)
Cheng Tan, Zhangyang Gao, Jun Xia, Bozhen Hu, Stan Z. Li
Global-Context Aware Generative Protein Design. ICASSP (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
Yun Luo, Zihan Liu, Stan Z. Li, Yue Zhang
Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions. CoRR (2023)
Cheng Tan, Zhangyang Gao, Stan Z. Li
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer. CoRR (2023)
Fang Wu, Dragomir Radev, Stan Z. Li
Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs. AAAI (2023)
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)
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)
Yun Luo, Zihan Liu, Stan Z. Li, Yue Zhang
Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions. WWW (2023)
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 (2023)
Jun Xia, Lecheng Zhang, Xiao Zhu, Stan Z. Li
Why Deep Models Often cannot Beat Non-deep Counterparts on Molecular Property Prediction? CoRR (2023)
Lirong Wu, Yufei Huang, Haitao Lin, Stan Z. Li
A Survey on Protein Representation Learning: Retrospect and Prospect. CoRR (2023)
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 (2023)
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)
Jun Xia, Yanqiao Zhu, Yuanqi Du, Stan Z. Li
A Systematic Survey of Chemical Pre-trained Models. IJCAI (2023)
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 (2023)
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)
Zhangyang Gao, Cheng Tan, Jun Xia, Stan Z. Li
Co-supervised Pre-training of Pocket and Ligand. ECML/PKDD (1) (2023)
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 (2023)
Hao Fang, Ajian Liu, Jun Wan, Sergio Escalera, Chenxu Zhao, Xu Zhang, Stan Z. Li, Zhen Lei
Surveillance Face Anti-spoofing. CoRR (2023)
Zihan Liu, Yun Luo, Lirong Wu, Zicheng Liu, Stan Z. Li
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias. CoRR (2023)
Zhangyang Gao, Cheng Tan, Stan Z. Li
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraints. CoRR (2023)
Zihan Liu, Ge Wang, Jiaqi Wang, Jiangbin Zheng, Stan Z. Li
Co-modeling the Sequential and Graphical Routes for Peptide Representation Learning. CoRR (2023)
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)
Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li
Dink-Net: Neural Clustering on Large Graphs. CoRR (2023)
Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. CoRR (2023)
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 (2023)
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 (2023)
Zhangyang Gao, Cheng Tan, Stan Z. Li
PiFold: Toward effective and efficient protein inverse folding. ICLR (2023)
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)
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 (2023)
Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z. Li
Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. ICML (2023)
Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li
Deep Manifold Graph Auto-Encoder For Attributed Graph Embedding. ICASSP (2023)
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) (2023)
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 (2023)
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 (2023)
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)
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)
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)
Fang Wu, Stan Z. Li
DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations. AAAI (2023)
Tianyi Huang, Stan Z. Li, Xin Yuan, Shenghui Cheng
Roadmap towards Meta-being. CoRR (2023)
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)
Tianyi Huang, Shenghui Cheng, Stan Z. Li, Zhengjun Zhang
High-dimensional Clustering onto Hamiltonian Cycle. ICML (2023)
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 (2023)
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)
Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. ICML (2023)
Jiangbin Zheng, Ge Wang, Yufei Huang, Bozhen Hu, Siyuan Li, Cheng Tan, Xinwen Fan, Stan Z. Li
Lightweight Contrastive Protein Structure-Sequence Transformation. CoRR (2023)
Fang Wu, Stan Z. Li
A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design. CoRR (2023)
Bozhen Hu, Bin Gao, Cheng Tan, Tongle Wu, Stan Z. Li
Segment Anything in Defect Detection. CoRR (2023)
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)
Zhe Li, Zhangyang Gao, Cheng Tan, Stan Z. Li, Laurence T. Yang
General Point Model with Autoencoding and Autoregressive. CoRR (2023)
Zhangyang Gao, Cheng Tan, Stan Z. Li
Knowledge-Design: Pushing the Limit of Protein Design via Knowledge Refinement. CoRR (2023)
Zhangyang Gao, Xingran Chen, Cheng Tan, Stan Z. Li
MotifRetro: Exploring the Combinability-Consistency Trade-offs in retrosynthesis via Dynamic Motif Editing. CoRR (2023)
Zhangyang Gao, Yuqi Hu, Cheng Tan, Stan Z. Li
PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix Embedding. CoRR (2023)
Yijie Zhang, Zhangyang Gao, Cheng Tan, Stan Z. Li
Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models. CoRR (2023)
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) (2023)
Cheng Tan, Zhangyang Gao, Stan Z. Li
Generative Tertiary Structure-based RNA Design. CoRR (2023)
Cheng Tan, Zhangyang Gao, Stan Z. Li
Target-Aware Molecular Graph Generation. ECML/PKDD (6) (2023)
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 (2023)
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)
Zicheng Liu, Siyuan Li, Ge Wang, Lirong Wu, Cheng Tan, Stan Z. Li
Harnessing Hard Mixed Samples with Decoupled Regularizer. NeurIPS (2023)
Zhangyang Gao, Cheng Tan, Stan Z. Li
VQPL: Vector Quantized Protein Language. CoRR (2023)
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)
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 (2023)
Fang Wu, Nicolas Courty, Shuting Jin, Stan Z. Li
Improving molecular representation learning with metric learning-enhanced optimal transport. Patterns 4 (4) (2023)
Jinlin Wu, Yuxin Yang, Zhen Lei, Yang Yang, Shukai Chen, Stan Z. Li
Camera-aware representation learning for person re-identification. Neurocomputing 518 (2023)
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) (2023)
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) (2023)
Tianyi Huang, Shenghui Cheng, Stan Z. Li, Zhengjun Zhang
High-dimensional Clustering onto Hamiltonian Cycle. CoRR (2023)
Fang Wu, Stan Z. Li
A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design. NeurIPS (2023)
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 (2023)
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 (2023)
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 (2022)
Zhangyang Gao, Cheng Tan, Stan Z. Li
PiFold: Toward effective and efficient protein inverse folding. CoRR (2022)
Zhangyang Gao, Cheng Tan, Stan Z. Li
AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB. CoRR (2022)
Cheng Tan, Zhangyang Gao, Stan Z. Li
RFold: Towards Simple yet Effective RNA Secondary Structure Prediction. CoRR (2022)
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 (2022)
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 (2022)
Haitao Lin, Lirong Wu, Yongjie Xu, Yufei Huang, Siyuan Li, Guojiang Zhao, Stan Z. Li
Non-equispaced Fourier Neural Solvers for PDEs. CoRR (2022)
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)
Lirong Wu, Haitao Lin, Jun Xia, Cheng Tan, Stan Z. Li
Multi-level disentanglement graph neural network. Neural Comput. Appl. 34 (11) (2022)

Stan Z. Li.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Stan Z. Li