Cheng Tan

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 82

Top Topics

Tertiary Structure

Vector Quantized

Top Venues

Publications

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)
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)
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)
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)
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)
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)
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)
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)
Cheng Tan, Zhangyang Gao, Jun Xia, Bozhen Hu, Stan Z. Li
Global-Context Aware Generative Protein Design. ICASSP (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)
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)
Cheng Tan, Zhangyang Gao, Stan Z. Li
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer. CoRR (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)
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)
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)
Zhangyang Gao, Cheng Tan, Stan Z. Li
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraints. 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)
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)
Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li
Deep Manifold Graph Auto-Encoder For Attributed Graph Embedding. ICASSP (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)
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)
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)
Bozhen Hu, Bin Gao, Cheng Tan, Tongle Wu, Stan Z. Li
Segment Anything in Defect Detection. 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)
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)
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)
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)
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)
Zhangyang Gao, Cheng Tan, Stan Z. Li
PiFold: Toward effective and efficient protein inverse folding. CoRR (2022)
Cheng Tan, Zhangyang Gao, Stan Z. Li
RFold: Towards Simple yet Effective RNA Secondary Structure Prediction. CoRR (2022)
Lirong Wu, Haitao Lin, Jun Xia, Cheng Tan, Stan Z. Li
Multi-level disentanglement graph neural network. Neural Comput. Appl. 34 (11) (2022)
Cheng Tan, Zhangyang Gao, Siyuan Li, Yongjie Xu, Stan Z. Li
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. CoRR (2022)
Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li
SimVP: Simpler yet Better Video Prediction. CVPR (2022)
Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li
A Survey on Generative Diffusion Model. CoRR (2022)
Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li
SimVP: Simpler yet Better Video Prediction. CoRR (2022)
Cheng Tan, Zhangyang Gao, Stan Z. Li
SimVP: Towards Simple yet Powerful Spatiotemporal Predictive Learning. CoRR (2022)
Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li
Hyperspherical Consistency Regularization. CoRR (2022)
Jun Xia, Cheng Tan, Lirong Wu, Yongjie Xu, Stan Z. Li
OT Cleaner: Label Correction as Optimal Transport. ICASSP (2022)
Jiangbin Zheng, Siyuan Li, Cheng Tan, Chong Wu, Yidong Chen, Stan Z. Li
Leveraging Graph-based Cross-modal Information Fusion for Neural Sign Language Translation. CoRR (2022)
Zicheng Liu, Siyuan Li, Ge Wang, Cheng Tan, Lirong Wu, Stan Z. Li
Decoupled Mixup for Data-efficient Learning. CoRR (2022)
Bozhen Hu, Jun Xia, Jiangbin Zheng, Cheng Tan, Yufei Huang, Yongjie Xu, Stan Z. Li
Protein Language Models and Structure Prediction: Connection and Progression. CoRR (2022)
Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li
Hyperspherical Consistency Regularization. CVPR (2022)
Cheng Tan, Zhangyang Gao, Jun Xia, Stan Z. Li
Generative De Novo Protein Design with Global Context. CoRR (2022)
Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li
Efficient Multi-order Gated Aggregation Network. CoRR (2022)
Lirong Wu, Jun Xia, Zhangyang Gao, Haitao Lin, Cheng Tan, Stan Z. Li
GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction. ECML/PKDD (4) (2022)
Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li
CoSP: Co-supervised pretraining of pocket and ligand. CoRR (2022)