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Fang Wu
Observed name:
Wu, Fang
Institution:
Stanford University
Observed institutions:
Amazon (United States),
Hunan University,
University of Washington,
Tencent (China),
Westlake University,
RIKEN,
The University of Tokyo,
Zhejiang University,
Columbia University,
University of California, Berkeley,
Stanford University,
Tsinghua University
show all 12
ORCID:
0000-0001-7240-3915
Observed ORCID:
0000-0001-7240-3915
OpenAlex ID:
A5125554383
A survey of generative AI for de novo drug design: new frontiers in molecule and protein generation
2024
·
Xiangru Tang
, Howard Dai
, et al.
·
Briefings in Bioinformatics
·
115
Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs
2023
·
Fang Wu
, Dragomir Radev
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
68
PDF
Direct prediction of gas adsorption via spatial atom interaction learning
2023
·
Jiyu Cui
, Fang Wu
, et al.
·
Nature Communications
·
59
Integration of pre-trained protein language models into geometric deep learning networks
2023
·
Fang Wu
, Lirong Wu
, et al.
·
Communications Biology
·
58
PDF
Interformer: an interaction-aware model for protein-ligand docking and affinity prediction
2024
·
Houtim Lai
, Longyue Wang
, et al.
·
Nature Communications
·
54
PDF
Pre‐Training of Equivariant Graph Matching Networks with Conformation Flexibility for Drug Binding
2022
·
Fang Wu
, Shuting Jin
, et al.
·
Advanced Science
·
42
DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations
2023
·
Fang Wu
, Stan Z. Li
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
27
PDF
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
2022
·
Li, Siyuan
, Wu, Di
, et al.
·
arXiv (Cornell University)
·
22
PDF
LocAgent: Graph-Guided LLM Agents for Code Localization
2025
·
Zhaoling Chen
, Robert Tang
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
15
PDF
Improving molecular representation learning with metric learning-enhanced optimal transport
2023
·
Fang Wu
, Nicolas Courty
, et al.
·
Patterns
·
11
A deep reinforcement learning platform for antibiotic discovery
2025
·
Hanqun Cao
, Marcelo D. T. Torres
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
·
9
3D-Transformer: Molecular Representation with Transformer in 3D Space
2021
·
Fang Wu
, Qiang Zhang
, et al.
·
arXiv (Cornell University)
·
9
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching
2023
·
Wu, Fang
, Li, Siyuan
, et al.
·
arXiv (Cornell University)
·
8
PDF
When Geometric Deep Learning Meets Pretrained Protein Language Models
2023
·
Fang Wu
, Yu Tao
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
·
7
PDF
Discovering the Representation Bottleneck of Graph Neural Networks
2024
·
Fang Wu
, Siyuan Li
, et al.
·
IEEE Transactions on Knowledge and Data Engineering
·
5
AI Scientists for Building Virtual-Cell Models
2025
·
Tang, Xiangru
, Chen, Jiapeng
, et al.
·
arXiv (Cornell University)
·
4
PDF
Surface-based Molecular Design with Multi-modal Flow Matching
2025
·
Fang Wu
, Zhengyuan Zhou
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
4
PDF
Large Language Models are Good Relational Learners
2025
·
Fang Wu
, Vijay Prakash Dwivedi
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
4
PDF
SemiReward: A General Reward Model for Semi-supervised Learning
2023
·
Li, Siyuan
, Jin, Weiyang
, et al.
·
arXiv (Cornell University)
·
4
PDF
A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design
2023
·
Fang Wu
, Stan Z. Li
·
neural information processing systems
·
4
PDF
MedicalAgentsBench for complex medical reasoning: Comparing internalized reasoning models versus externalized agent-based frameworks
2026
·
Yanjun Shao
, Xiangru Tang
, et al.
·
Patterns
·
3
PoseX: AI Defeats Physics Approaches on Protein-Ligand Cross Docking
2025
·
Jiang, Yize
, Li, Xinze
, et al.
·
arXiv (Cornell University)
·
3
PDF
Author Correction: Interformer: an interaction-aware model for protein-ligand docking and affinity prediction
2025
·
Houtim Lai
, Longyue Wang
, et al.
·
Nature Communications
·
3
PDF
Instructor-inspired Machine Learning for Robust Molecular Property Prediction
2024
·
Fang Wu
, Shuting Jin
, et al.
·
neural information processing systems
·
3
PDF
Predicting mutational effects on protein binding from folding energy
2025
·
Deng, Arthur
, Householder, Karsten
, et al.
·
arXiv (Cornell University)
·
2
PDF
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Works count:
87
Citation count:
561
H-index:
10
I10-index:
10
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