Fang Wu
Scholar

Fang Wu

Google Scholar ID: 8vHkc5YAAAAJ
Stanford University
AIDeep Learning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
677
 
H-index
15
 
i10-index
17
 
Publications
20
 
Co-authors
10
list available
Contact
Emailfw2359@columbia.eduTwitterOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
7 items
RiboSphere: Learning Unified and Efficient Representations of RNA Structures
2026
Cited
0
W2T: LoRA Weights Already Know What They Can Do
2026
Cited
0
Why Reasoning Fails to Plan: A Planning-Centric Analysis of Long-Horizon Decision Making in LLM Agents
2026
Cited
0
Molecular Representations in Implicit Functional Space via Hyper-Networks
2026
Cited
0
Dynamics-inspired Structure Hallucination for Protein-protein Interaction Modeling
Trans. Mach. Learn. Res. · 2026
Cited
2
Surface-based Molecular Design with Multi-modal Flow Matching
Knowledge Discovery and Data Mining · 2025
Cited
2
A Semi-supervised Molecular Learning Framework for Activity Cliff Estimation
International Joint Conference on Artificial Intelligence · 2024
Cited
5
Resume (English only)
Co-authors
10 total
Stan Z. Li (李子青)
Stan Z. Li (李子青)
Westlake University & CAS Institute of Automation
Co-author 2
Co-author 2
Jinbo Xu
Jinbo Xu
Professor, Toyota Technological Institute at Chicago
Xiangxiang Zeng
Xiangxiang Zeng
Deparment of Computer Science, Hunan University
Chen Huajun (陈华钧), Professor, PhD
Chen Huajun (陈华钧), Professor, PhD
College of Computer Science, Zhejiang University
Nicolas Courty
Nicolas Courty
Full Professor, Université Bretagne Sud, laboratoire IRISA
Yejin Choi
Yejin Choi
Stanford University / NVIDIA
Jure Leskovec
Jure Leskovec
Professor of Computer Science, Stanford University