Fang Wu

9 papers at tracked venues · 8 at CORE A* · active 2024–2025

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Venues

ACL ×2 ICML ×2 AAAI ×1 EMNLP ×1 ICLR ×1 NeurIPS ×1 SIGKDD ×1

Frequent coauthors

Stan Z. Li

×5

Jure Leskovec

×2

Shuting Jin

×2

Siyuan Li

×2

Bozhen Hu

×1

Vijay Prakash Dwivedi

×1

Zhaoling Chen

×1

Robert Tang

×1

Gangda Deng

×1

Jialong Wu

×1

Zhiwei Jiang

×1

Viktor K. Prasanna

×1

Papers

Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling
AAAI 2025 · Fang Wu,
Bozhen Hu
,
Stan Z. Li
Large Language Models are Good Relational Learners
ACL 2025 · Fang Wu,
Vijay Prakash Dwivedi
,
Jure Leskovec
LocAgent: Graph-Guided LLM Agents for Code Localization
ACL 2025 ·
Zhaoling Chen
,
Robert Tang
,
Gangda Deng
, Fang Wu,
Jialong Wu
,
Zhiwei Jiang
,
Viktor K. Prasanna
,
Arman Cohan
,
Xingyao Wang
Predicting mutational effects on protein binding from folding energy
ICML 2025 ·
Arthur Deng
,
Karsten D. Householder
, Fang Wu,
K. Christopher Garcia
,
Brian L. Trippe
Surface-based Molecular Design with Multi-modal Flow Matching
SIGKDD 2025 · Fang Wu,
Zhengyuan Zhou
,
Shuting Jin
,
Xiangxiang Zeng
,
Jure Leskovec
,
Jinbo Xu
InsertGNN: A Hierarchical Graph Neural Network for the TOEFL Sentence Insertion Problem
EMNLP 2024 · Fang Wu,
Stan Z. Li
Instructor-inspired Machine Learning for Robust Molecular Property Prediction
NeurIPS 2024 · Fang Wu,
Shuting Jin
,
Siyuan Li
,
Stan Z. Li
SemiReward: A General Reward Model for Semi-supervised Learning
ICLR 2024 ·
Siyuan Li
,
Weiyang Jin
,
Zedong Wang
, Fang Wu,
Zicheng Liu
,
Cheng Tan
,
Stan Z. Li
Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces
ICML 2024 · Fang Wu,
Stan Z. Li