Gao, Zhifeng

12 publications

ICLR 2025 A Simple yet Effective $\Delta\Delta G$ Predictor Is an Unsupervised Antibody Optimizer and Explainer Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Guojiang Zhao, Zhifeng Gao, Stan Z. Li

ICML 2025 Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling Shuqi Lu, Xiaohong Ji, Bohang Zhang, Lin Yao, Siyuan Liu, Zhifeng Gao, Linfeng Zhang, Guolin Ke

ICLR 2025 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

ICML 2025 PolyConf: Unlocking Polymer Conformation Generation Through Hierarchical Generative Models Fanmeng Wang, Wentao Guo, Qi Ou, Hongshuai Wang, Haitao Lin, Hongteng Xu, Zhifeng Gao

NeurIPS 2024 Exploring Molecular Pretraining Model at Scale Xiaohong Ji, Zhen Wang, Zhifeng Gao, Hang Zheng, Linfeng Zhang, Guolin Ke, Weinan E

NeurIPS 2024 S-MolSearch: 3D Semi-Supervised Contrastive Learning for Bioactive Molecule Search Gengmo Zhou, Zhen Wang, Feng Yu, Guolin Ke, Zhewei Wei, Zhifeng Gao

ICLRW 2023 Do Deep Learning Methods Really Perform Better in Molecular Conformation Generation? Gengmo Zhou, Zhifeng Gao, Zhewei Wei, Hang Zheng, Guolin Ke

ICLRW 2023 Do Deep Learning Models Really Outperform Traditional Approaches in Molecular Docking? Yuejiang Yu, Shuqi Lu, Zhifeng Gao, Hang Zheng, Guolin Ke

NeurIPSW 2023 UMD-Fit: Generating Realistic Ligand Conformations for Distance-Based Deep Docking Models Eric Alcaide, Ziyao Li, Hang Zheng, Zhifeng Gao, Guolin Ke

ICLR 2023 Uni-Mol: A Universal 3D Molecular Representation Learning Framework Gengmo Zhou, Zhifeng Gao, Qiankun Ding, Hang Zheng, Hongteng Xu, Zhewei Wei, Linfeng Zhang, Guolin Ke

ICML 2018 PredRNN++: Towards a Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning Yunbo Wang, Zhifeng Gao, Mingsheng Long, Jianmin Wang, Philip S Yu

NeurIPS 2017 PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs Yunbo Wang, Mingsheng Long, Jianmin Wang, Zhifeng Gao, Philip S Yu