Stan Z. Li

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 354

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)
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 (2024)
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 (2024)
Bozhen Hu, Zelin Zang, Cheng Tan, Stan Z. Li
Deep Manifold Transformation for Protein Representation Learning. ICASSP (2024)
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)
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) (2024)
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 (2024)
Zhangyang Gao, Cheng Tan, Stan Z. Li
FoldToken2: Learning compact, invariant and generative protein structure language. 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)
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 (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)
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 (2024)
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 (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)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
Lirong Wu, Haitao Lin, Zhangyang Gao, Guojiang Zhao, Stan Z. Li
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation. CoRR (2024)
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)
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)
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)
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)
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) (2024)
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)
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 (2024)
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 (2024)
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)
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 (2024)
Ge Wang, Zelin Zang, Jiangbin Zheng, Jun Xia, Stan Z. Li
Graph-level Protein Representation Learning by Structure Knowledge Refinement. CoRR (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. AAAI (2024)
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) (2024)
Zhangyang Gao, Jue Wang, Cheng Tan, Lirong Wu, Yufei Huang, Siyuan Li, Zhirui Ye, Stan Z. Li
UniIF: Unified Molecule Inverse Folding. 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, 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 (2024)
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 (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)
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 (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)
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 (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)
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)
Bozhen Hu, Zelin Zang, Cheng Tan, Stan Z. Li
Deep Manifold Transformation for Protein Representation Learning. CoRR (2024)
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 (2024)
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)
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 (2024)
Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. CoRR (2024)
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 (2024)
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)
Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li
FoldToken: Learning Protein Language via Vector Quantization and Beyond. CoRR (2024)
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)
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)

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

Publication Activity (10 Years)

Top Topics

Top Venues

Stan Z. Li