Wu, Fang

17 publications

ICLR 2026 DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Tree-Based Search Fang Wu, Weihao Xuan, Heli Qi, Aaron Tu, Ximing Lu, Li Erran Li, Yejin Choi

ICLR 2026 Multiplayer Nash Preference Optimization Fang Wu, Xu Huang, Weihao Xuan, Zhiwei Zhang, Yijia Xiao, Guancheng Wan, Xiaomin Li, Bing Hu, Peng Xia, Jure Leskovec, Yejin Choi

ICLR 2026 PoseX: AI Defeats Physics-Based Methods on Protein Ligand Cross-Docking Yize Jiang, Xinze Li, Yuanyuan Zhang, Jin Han, Youjun Xu, Ayush Pandit, Zaixi Zhang, Mengdi Wang, Mengyang Wang, Chong Liu, Guang Yang, Yejin Choi, Yingzhou Lu, Wu-Jun Li, Tianfan Fu, Fang Wu, Junhong Liu

WACV 2025 AIC3DOD: Advancing Indoor Class-Incremental 3D Object Detection with Point Transformer Architecture and Room Layout Constraints Zhongyao Cheng, Fang Wu, Peisheng Qian, Ziyuan Zhao, Xulei Yang

TMLR 2025 Dynamics-Inspired Structure Hallucination for Protein-Protein Interaction Modeling Fang Wu, Stan Z. Li

AAAI 2025 Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling Fang Wu, Bozhen Hu, Stan Z. Li

NeurIPS 2025 Joint Design of Protein Surface and Backbone Using a Diffusion Bridge Model Guanlue Li, Xufeng Zhao, Fang Wu, Sören Laue

ICML 2025 Predicting Mutational Effects on Protein Binding from Folding Energy Arthur Deng, Karsten D. Householder, Fang Wu, K. Christopher Garcia, Brian L. Trippe

IJCAI 2024 A Semi-Supervised Molecular Learning Framework for Activity Cliff Estimation Fang Wu

NeurIPS 2024 Instructor-Inspired Machine Learning for Robust Molecular Property Prediction Fang Wu, Shuting Jin, Siyuan Li, Stan Z. Li

ICLR 2024 SemiReward: A General Reward Model for Semi-Supervised Learning Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z. Li

ICML 2024 Surface-VQMAE: Vector-Quantized Masked Auto-Encoders on Molecular Surfaces Fang Wu, Stan Z. Li

NeurIPS 2023 A Hierarchical Training Paradigm for Antibody Structure-Sequence Co-Design Fang Wu, Stan Z. Li

ICML 2023 Architecture-Agnostic Masked Image Modeling -- from ViT Back to CNN Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z. Li

AAAI 2023 DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations Fang Wu, Stan Z. Li

AAAI 2023 Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs Fang Wu, Dragomir Radev, Stan Z. Li

ICML 2023 Rethinking Explaining Graph Neural Networks via Non-Parametric Subgraph Matching Fang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z. Li