Zhangyang Gao - RankMe

115 papers A* 33Misc 1Journal 74Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HarmonyCell: Automating Single-Cell Perturbation Modeling under Semantic and Distribution Shifts. CoRR Wenxuan Huang, Mingyu Tsoi, Yanhao Huang, Xinjie Mao, Xue Xia, Hao Wu, Jiaqi Wei, Yuejin Yang, Lang Yu, Cheng Tan, Xiang Zhang, Zhangyang Gao, Siqi Sun
2026	J	`jnl`	SCALE:Scalable Conditional Atlas-Level Endpoint transport for virtual cell perturbation prediction. CoRR Shuizhou Chen, Lang Yu, Kedu Jin, Songming Zhang, Hao Wu, Wenxuan Huang, Sheng Xu, Quan Qian, Qin Chen, Lei Bai, Siqi Sun, Zhangyang Gao
2026	J	`jnl`	SciDataCopilot: An Agentic Data Preparation Framework for AGI-driven Scientific Discovery. CoRR Jiyong Rao, Yicheng Qiu, Jiahui Zhang, Juntao Deng, Shangquan Sun, Fenghua Ling, Hao Chen, Nanqing Dong, Zhangyang Gao, Siqi Sun, Yuqiang Li, Dongzhan Zhou, Guangyu Wang, Lijun Wu, Conghui He, Xuhong Wang, Jing Shao, Xiang Liu, Yu Zhu, Mianxin Liu, Qihao Zheng, Yinghui Zhang, Jiamin Wu, Xiaosong Wang, Shixiang Tang, Wenlong Zhang, Bo Zhang, Wanli Ouyang, Runkai Zhao, Chunfeng Song, Lei Bai, Chi Zhang
2025	J	`jnl`	AlphaFold Database Debiasing for Robust Inverse Folding. CoRR Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Siyuan Li, Yufei Huang, Stan Z. Li
2025	J	`jnl`	An Extensive Survey With Empirical Studies on Deep Temporal Point Process. IEEE Trans. Knowl. Data Eng. Haitao Lin, Cheng Tan, Lirong Wu, Zicheng Liu, Zhangyang Gao, Stan Z. Li
2025	A*	`conf`	EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow. ICLR 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	A*	`conf`	FoldToken: Learning Protein Language via Vector Quantization and Beyond. AAAI Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li
2025	J	`jnl`	From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery. CoRR Jiaqi Wei, Yuejin Yang, Xiang Zhang, Yuhan Chen, Xiang Zhuang, Zhangyang Gao, Dongzhan Zhou, Guangshuai Wang, Zhiqiang Gao, Juntai Cao, Zijie Qiu, Xuming He, Qiang Zhang, Chenyu You, Shuangjia Zheng, Ning Ding, Wanli Ouyang, Nanqing Dong, Yu Cheng, Siqi Sun, Lei Bai, Bowen Zhou
2025	A*	`conf`	From Words to Structured Visuals: A Benchmark and Framework for Text-to-Diagram Generation and Editing. CVPR Jingxuan Wei, Cheng Tan, Qi Chen, Gaowei Wu, Siyuan Li, Zhangyang Gao, Linzhuang Sun, Bihui Yu, Ruifeng Guo
2025	J	`jnl`	G2PDiffusion: Genotype-to-Phenotype Prediction with Diffusion Models. CoRR Mengdi Liu, Zhangyang Gao, Hong Chang, Stan Z. Li, Shiguang Shan, Xilin Chen
2025	J	`jnl`	Lost in Tokenization: Context as the Key to Unlocking Biomolecular Understanding in Scientific LLMs. CoRR Kai Zhuang, Jiawei Zhang, Yumou Liu, Hanqun Cao, Chunbin Gu, Mengdi Liu, Zhangyang Gao, Zitong Jerry Wang, Xuanhe Zhou, Pheng-Ann Heng, Lijun Wu, Conghui He, Cheng Tan
2025	A*	`conf`	MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction. ICLR Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Lirong Wu, Siyuan Li, Yufei Huang, Jun Xia, Bozhen Hu, Stan Z. Li
2025	J	`jnl`	PFMBench: Protein Foundation Model Benchmark. CoRR Zhangyang Gao, Hao Wang, Cheng Tan, Chenrui Xu, Mengdi Liu, Bozhen Hu, Linlin Chao, Xiaoming Zhang, Stan Z. Li
2025	J	`jnl`	ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search. CoRR Mengdi Liu, Xiaoxue Cheng, Zhangyang Gao, Hong Chang, Cheng Tan, Shiguang Shan, Xilin Chen
2025	J	`jnl`	Protein-SE(3): Benchmarking SE(3)-based Generative Models for Protein Structure Design. CoRR Lang Yu, Zhangyang Gao, Cheng Tan, Qin Chen, Jie Zhou, Liang He
2025	J	`jnl`	R3Design: deep tertiary structure-based RNA sequence design and beyond. Briefings Bioinform. Cheng Tan, Yijie Zhang, Zhangyang Gao, Hanqun Cao, Siyuan Li, Siqi Ma, Mathieu Blanchette, Stan Z. Li
2025	A*	`conf`	ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing. ICLR Shaorong Chen, Jun Xia, Jingbo Zhou, Lecheng Zhang, Zhangyang Gao, Bozhen Hu, Cheng Tan, Wenjie Du, Stan Z. Li
2025	A*	`conf`	Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization. AAAI Lirong Wu, Haitao Lin, Yufei Huang, Zhangyang Gao, Cheng Tan, Yunfan Liu, Tailin Wu, Stan Z. Li
2025	J	`jnl`	Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization. CoRR Lirong Wu, Haitao Lin, Yufei Huang, Zhangyang Gao, Cheng Tan, Yunfan Liu, Tailin Wu, Stan Z. Li
2025	J	`jnl`	SimVPv2: Towards Simple Yet Powerful Spatiotemporal Predictive Learning. IEEE Trans. Multim. Cheng Tan, Zhangyang Gao, Siyuan Li, Stan Z. Li
2025	A*	`conf`	SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches. IJCAI Cheng Tan, Qi Chen, Jingxuan Wei, Gaowei Wu, Zhangyang Gao, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li
2025	J	`jnl`	SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches. CoRR Cheng Tan, Qi Chen, Jingxuan Wei, Gaowei Wu, Zhangyang Gao, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li
2025	J	`jnl`	USTEP: Spatio-Temporal Predictive Learning Under a Unified View. IEEE Trans. Pattern Anal. Mach. Intell. Cheng Tan, Jue Wang, Zhangyang Gao, Siyuan Li, Stan Z. Li
2025	J	`jnl`	Unifying Tree Search Algorithm and Reward Design for LLM Reasoning: A Survey. CoRR Jiaqi Wei, Xiang Zhang, Yuejin Yang, Wenxuan Huang, Juntai Cao, Sheng Xu, Xiang Zhuang, Zhangyang Gao, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Chenyu You, Wanli Ouyang, Siqi Sun
2025	A*	`conf`	dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen. AAAI Cheng Tan, Yijie Zhang, Zhangyang Gao, Yufei Huang, Haitao Lin, Lirong Wu, Fandi Wu, Mathieu Blanchette, Stan Z. Li
2025	J	`jnl`	dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen. CoRR Cheng Tan, Yijie Zhang, Zhangyang Gao, Yufei Huang, Haitao Lin, Lirong Wu, Fandi Wu, Mathieu Blanchette, Stan Z. Li
2024	A*	`conf`	A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer. ICML Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li
2024	J	`jnl`	A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer. CoRR Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li
2024	J	`jnl`	A Survey on Generative Diffusion Models. IEEE Trans. Knowl. Data Eng. Hanqun Cao, Cheng Tan, Zhangyang Gao, Yilun Xu, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li
2024	J	`jnl`	A Teacher-Free Graph Knowledge Distillation Framework With Dual Self-Distillation. IEEE Trans. Knowl. Data Eng. Lirong Wu, Haitao Lin, Zhangyang Gao, Guojiang Zhao, Stan Z. Li
2024	J	`jnl`	A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation. CoRR Lirong Wu, Haitao Lin, Zhangyang Gao, Guojiang Zhao, Stan Z. Li
2024	J	`jnl`	AQND: An asymmetric quorum-based neighbor discovery protocol for reducing delay in sensor based systems. Inf. Sci. Ziqing Xia, Zhangyang Gao, Anfeng Liu, Neal N. Xiong
2024	A*	`conf`	AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases. NeurIPS Jun Xia, Shaorong Chen, Jingbo Zhou, Xiaojun Shan, Wenjie Du, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jiangbin Zheng, Stan Z. Li
2024	J	`jnl`	Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Lirong Wu, Haitao Lin, Bozhen Hu, Cheng Tan, Zhangyang Gao, Zicheng Liu, Stan Z. Li
2024	—	`conf`	Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-consistency Training. ECCV (40) Cheng Tan, Jingxuan Wei, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Ruifeng Guo, Bihui Yu, Stan Z. Li
2024	A*	`conf`	Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer. AAAI Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li
2024	J	`jnl`	DCS-Net: Pioneering Leakage-Free Point Cloud Pretraining Framework with Global Insights. CoRR Zhe Li, Zhangyang Gao, Cheng Tan, Stan Z. Li, Laurence T. Yang
2024	A*	`conf`	Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective. ICML Cheng Tan, Zhangyang Gao, Hanqun Cao, Xingran Chen, Ge Wang, Lirong Wu, Jun Xia, Jiangbin Zheng, Stan Z. Li
2024	A*	`conf`	Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks. ICLR Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li
2024	J	`jnl`	Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks. CoRR Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li
2024	A*	`conf`	DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning. ICDE Jun Xia, Shaorong Chen, Yue Liu, Zhangyang Gao, Jiangbin Zheng, Xihong Yang, Stan Z. Li
2024	J	`jnl`	Enhancing human-like multimodal reasoning: a new challenging dataset and comprehensive framework. Neural Comput. Appl. Jingxuan Wei, Cheng Tan, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li
2024	A*	`conf`	FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning. NeurIPS Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li
2024	J	`jnl`	FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning. CoRR Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li
2024	J	`jnl`	FoldToken2: Learning compact, invariant and generative protein structure language. CoRR Zhangyang Gao, Cheng Tan, Stan Z. Li
2024	J	`jnl`	FoldToken: Learning Protein Language via Vector Quantization and Beyond. CoRR Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li
2024	J	`jnl`	From Words to Structured Visuals: A Benchmark and Framework for Text-to-Diagram Generation and Editing. CoRR Jingxuan Wei, Cheng Tan, Qi Chen, Gaowei Wu, Siyuan Li, Zhangyang Gao, Linzhuang Sun, Bihui Yu, Ruifeng Guo
2024	A*	`conf`	General Point Model Pretraining with Autoencoding and Autoregressive. CVPR Zhe Li, Zhangyang Gao, Cheng Tan, Bocheng Ren, Laurence T. Yang, Stan Z. Li
2024	—	`conf`	Interpretable and Generalizable Spatiotemporal Predictive Learning with Disentangled Consistency. ECML/PKDD (3) Jingxuan Wei, Cheng Tan, Zhangyang Gao, Linzhuang Sun, Bihui Yu, Ruifeng Guo, Stan Z. Li
2024	A*	`conf`	KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement. ICLR Zhangyang Gao, Cheng Tan, Xingran Chen, Yijie Zhang, Jun Xia, Siyuan Li, Stan Z. Li
2024	A*	`conf`	MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning. CVPR Zhe Li, Laurence T. Yang, Bocheng Ren, Xin Nie, Zhangyang Gao, Cheng Tan, Stan Z. Li
2024	J	`jnl`	MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning. CoRR Zhe Li, Laurence T. Yang, Bocheng Ren, Xin Nie, Zhangyang Gao, Cheng Tan, Stan Z. Li
2024	J	`jnl`	MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction. CoRR Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Lirong Wu, Siyuan Li, Yufei Huang, Jun Xia, Bozhen Hu, Stan Z. Li
2024	A*	`conf`	PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. AAAI Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li
2024	J	`jnl`	PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. CoRR Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li
2024	J	`jnl`	Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions. CoRR Cheng Tan, Dongxin Lyu, Siyuan Li, Zhangyang Gao, Jingxuan Wei, Siqi Ma, Zicheng Liu, Stan Z. Li
2024	A*	`conf`	ProtGO: Function-Guided Protein Modeling for Unified Representation Learning. NeurIPS Bozhen Hu, Cheng Tan, Yongjie Xu, Zhangyang Gao, Jun Xia, Lirong Wu, Stan Z. Li
2024	A*	`conf`	Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction. AAAI Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li
2024	A*	`conf`	RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design. ICLR Cheng Tan, Yijie Zhang, Zhangyang Gao, Bozhen Hu, Siyuan Li, Zicheng Liu, Stan Z. Li
2024	A*	`conf`	Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge. ICML Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li
2024	J	`jnl`	Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge. CoRR Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li
2024	J	`jnl`	Retrieval Meets Reasoning: Even High-school Textbook Knowledge Benefits Multimodal Reasoning. CoRR Cheng Tan, Jingxuan Wei, Linzhuang Sun, Zhangyang Gao, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li
2024	—	`conf`	Text-To-AMP: Antimicrobial Peptide Design Guided by Natural Text. BIBM Yixuan Huang, Yang Xiao, Alexander Teng, Fei Ye, Yiyao Yu, Chenyi Lei, Ruihao Zhang, Zhangyang Gao, Cheng Tan, Xiao Liu
2024	A*	`conf`	UniIF: Unified Molecule Inverse Folding. NeurIPS Zhangyang Gao, Jue Wang, Cheng Tan, Lirong Wu, Yufei Huang, Siyuan Li, Zhirui Ye, Stan Z. Li
2024	J	`jnl`	UniIF: Unified Molecule Inverse Folding. CoRR Zhangyang Gao, Jue Wang, Cheng Tan, Lirong Wu, Yufei Huang, Siyuan Li, Zhirui Ye, Stan Z. Li
2023	J	`jnl`	Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training. CoRR Cheng Tan, Jingxuan Wei, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Xihong Yang, Stan Z. Li
2023	—	`conf`	Co-supervised Pre-training of Pocket and Ligand. ECML/PKDD (1) Zhangyang Gao, Cheng Tan, Jun Xia, Stan Z. Li
2023	J	`jnl`	Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer. CoRR Cheng Tan, Zhangyang Gao, Stan Z. Li
2023	J	`jnl`	DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraints. CoRR Zhangyang Gao, Cheng Tan, Stan Z. Li
2023	J	`jnl`	Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models. CoRR Yijie Zhang, Zhangyang Gao, Cheng Tan, Stan Z. Li
2023	J	`jnl`	Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive Framework. CoRR Jingxuan Wei, Cheng Tan, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li
2023	J	`jnl`	General Point Model with Autoencoding and Autoregressive. CoRR Zhe Li, Zhangyang Gao, Cheng Tan, Stan Z. Li, Laurence T. Yang
2023	J	`jnl`	Generative Tertiary Structure-based RNA Design. CoRR Cheng Tan, Zhangyang Gao, Stan Z. Li
2023	Misc	`conf`	Global-Context Aware Generative Protein Design. ICASSP Cheng Tan, Zhangyang Gao, Jun Xia, Bozhen Hu, Stan Z. Li
2023	J	`jnl`	Knowledge-Design: Pushing the Limit of Protein Design via Knowledge Refinement. CoRR Zhangyang Gao, Cheng Tan, Stan Z. Li
2023	—	`conf`	Learning to Augment Graph Structure for both Homophily and Heterophily Graphs. ECML/PKDD (3) Lirong Wu, Cheng Tan, Zihan Liu, Zhangyang Gao, Haitao Lin, Stan Z. Li
2023	J	`jnl`	MMDesign: Multi-Modality Transfer Learning for Generative Protein Design. CoRR Jiangbin Zheng, Siyuan Li, Yufei Huang, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jun Xia, Ge Wang, Stan Z. Li
2023	A*	`conf`	Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules. ICLR Jun Xia, Chengshuai Zhao, Bozhen Hu, Zhangyang Gao, Cheng Tan, Yue Liu, Siyuan Li, Stan Z. Li
2023	J	`jnl`	MotifRetro: Exploring the Combinability-Consistency Trade-offs in retrosynthesis via Dynamic Motif Editing. CoRR Zhangyang Gao, Xingran Chen, Cheng Tan, Stan Z. Li
2023	A*	`conf`	OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning. NeurIPS Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li
2023	J	`jnl`	OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning. CoRR Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li
2023	A*	`conf`	PiFold: Toward effective and efficient protein inverse folding. ICLR Zhangyang Gao, Cheng Tan, Stan Z. Li
2023	J	`jnl`	PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix Embedding. CoRR Zhangyang Gao, Yuqi Hu, Cheng Tan, Stan Z. Li
2023	J	`jnl`	Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction. CoRR Yufei Huang, Siyuan Li, Jin Su, Lirong Wu, Odin Zhang, Haitao Lin, Jingqi Qi, Zihan Liu, Zhangyang Gao, Yuyang Liu, Jiangbin Zheng, Stan Z. Li
2023	A*	`conf`	ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics. NeurIPS Zhangyang Gao, Cheng Tan, Yijie Zhang, Xingran Chen, Lirong Wu, Stan Z. Li
2023	J	`jnl`	Revisiting the Temporal Modeling in Spatio-Temporal Predictive Learning under A Unified View. CoRR Cheng Tan, Jue Wang, Zhangyang Gao, Siyuan Li, Lirong Wu, Jun Xia, Stan Z. Li
2023	J	`jnl`	Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive. IEEE Trans. Knowl. Data Eng. Lirong Wu, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li
2023	—	`conf`	Target-Aware Molecular Graph Generation. ECML/PKDD (6) Cheng Tan, Zhangyang Gao, Stan Z. Li
2023	A*	`conf`	Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. CVPR Cheng Tan, Zhangyang Gao, Lirong Wu, Yongjie Xu, Jun Xia, Siyuan Li, Stan Z. Li
2023	A*	`conf`	Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions. NeurIPS Jun Xia, Lecheng Zhang, Xiao Zhu, Yue Liu, Zhangyang Gao, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Siyuan Li, Stan Z. Li
2023	J	`jnl`	VQPL: Vector Quantized Protein Language. CoRR Zhangyang Gao, Cheng Tan, Stan Z. Li
2022	J	`jnl`	A Survey on Generative Diffusion Model. CoRR Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li
2022	J	`jnl`	AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB. CoRR Zhangyang Gao, Cheng Tan, Stan Z. Li
2022	J	`jnl`	CoSP: Co-supervised pretraining of pocket and ligand. CoRR Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li
2022	A*	`conf`	Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting. AAAI Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li
2022	J	`jnl`	Generative De Novo Protein Design with Global Context. CoRR Cheng Tan, Zhangyang Gao, Jun Xia, Stan Z. Li
2022	—	`conf`	GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction. ECML/PKDD (4) Lirong Wu, Jun Xia, Zhangyang Gao, Haitao Lin, Cheng Tan, Stan Z. Li
2022	A*	`conf`	Hyperspherical Consistency Regularization. CVPR Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li
2022	J	`jnl`	Hyperspherical Consistency Regularization. CoRR Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li
2022	J	`jnl`	PiFold: Toward effective and efficient protein inverse folding. CoRR Zhangyang Gao, Cheng Tan, Stan Z. Li
2022	J	`jnl`	RFold: Towards Simple yet Effective RNA Secondary Structure Prediction. CoRR Cheng Tan, Zhangyang Gao, Stan Z. Li
2022	J	`jnl`	SemiRetro: Semi-template framework boosts deep retrosynthesis prediction. CoRR Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li
2022	A*	`conf`	SimVP: Simpler yet Better Video Prediction. CVPR Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li
2022	J	`jnl`	SimVP: Simpler yet Better Video Prediction. CoRR Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li
2022	J	`jnl`	SimVP: Towards Simple yet Powerful Spatiotemporal Predictive Learning. CoRR Cheng Tan, Zhangyang Gao, Stan Z. Li
2022	J	`jnl`	Target-aware Molecular Graph Generation. CoRR Cheng Tan, Zhangyang Gao, Stan Z. Li
2022	J	`jnl`	Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification. CoRR Lirong Wu, Jun Xia, Haitao Lin, Zhangyang Gao, Zicheng Liu, Guojiang Zhao, Stan Z. Li
2022	J	`jnl`	Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. CoRR Cheng Tan, Zhangyang Gao, Siyuan Li, Yongjie Xu, Stan Z. Li
2021	J	`jnl`	Conditional Local Filters with Explainers for Spatio-Temporal Forecasting. CoRR Haitao Lin, Zhangyang Gao, Lirong Wu, Stan Z. Li
2021	J	`jnl`	Extensive Deep Temporal Point Process. CoRR Haitao Lin, Cheng Tan, Lirong Wu, Zhangyang Gao, Stan Z. Li
2021	J	`jnl`	Git: Clustering Based on Graph of Intensity Topology. CoRR Zhangyang Gao, Haitao Lin, Cheng Tan, Lirong Wu, Stan Z. Li
2021	J	`jnl`	GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction. CoRR Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li
2021	J	`jnl`	Self-supervised on Graphs: Contrastive, Generative, or Predictive. CoRR Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li
2020	J	`jnl`	Clustering Based on Graph of Density Topology. CoRR Zhangyang Gao, Haitao Lin, Stan Z. Li
2020	J	`jnl`	LookHops: light multi-order convolution and pooling for graph classification. CoRR Zhangyang Gao, Haitao Lin, Stan Z. Li