FW
Fang Wu
cs.LGcs.AIcs.CLcs.CEcs.CYq-bio.QMphysics.soc-phq-bio.BMcs.CVProteins
On Valency
published · living versionsW_62rs3ws9·v1 · currentpublished
ProteoCraft: Protein Design as Proposal-Verification Search
with Hongbin Lin, Bingchen Duan, Yuchen Wang, Li Erran Li +22
1 version
Preprints & journals
74 papers in the corpus · 2003–2026Harness Evolution Hits a Ceiling: When Weight Training Should Begin2610.11655v1 · Yuan Tian, Bing Hu, Hao Wang et al.2026 · 0 citationsarXiv
Self-Retrospection Distillation: Turning Post-hoc Experiences into Prior Foresight2610.08077v3 · Haoxiang Zhang, Qinglin Chen, Hiroaki Hayashi et al.2026 · 0 citationsarXiv
An immune world model for multiscale forecasting and therapeutic hypothesis generation2609.14709v1 · Taoyong Cui, Xi Wang, Zonghang Li et al.2026 · 0 citationsarXiv
MetaRSI / RSI2: A Meta-Recursive Self-Improving System for Recursive Self-Improving Systems Themselves2609.06396v2 · Zihan Tan, Leixin Sun, Zitong Shi et al.2026 · 0 citationsarXiv
Erratum: MedicalAgentsBench for complex medical reasoning: Comparing internalized reasoning models versus externalized agent-based frameworks.42746258 · Shao, Yanjun, Tang, Xiangru, Sohn, Jiwoong et al.2026 · 2 citationsPatterns (New York, N.Y.). 2026;7(9):101658
Accurate, Interdisciplinary and Transparent Structure-property Understanding with Deep Native Structural Reasoning2607.07708v1 · Chen Tang, Yizhou Wang, Jianyu Wu et al.2026 · 0 citationsarXiv
Deciphering Fingerprints of 3D Molecular Surfaces for Accurate Epitope Prediction2606.23830v1 · Fang Wu, Weihao Xuan, Jure Leskovec et al.2026 · 0 citationsKDD 2026 AI4Science
When Think-with-Image Meets Safety: What Determines Multimodal Jailbreak Robustness?2605.27932v1 · Yuan Tian, Bing Hu, Fang Wu et al.2026 · 0 citationsarXiv
SurfDesign: Effective Protein Design on Molecular Surfaces2606.07567v1 · Fang Wu, Shuting Jin, Xiangru Tang et al.2026 · 0 citationsKDD 2026 AI4Science
GeoCycler: Reward-Aligned 3D Diffusion for Constraint-Conditioned Cyclic Peptide Design2605.23407v1 · Jingjie Zhang, Hanqun Cao, Haosen Shi et al.2026 · 0 citationsarXiv
Latent Action Reparameterization for Efficient Agent Inference2605.18597v3 · Wenhao Huang, Qingwen Zeng, Qiyue Chen et al.2026 · 0 citationsarXiv
Hypergraph Pattern Machine: Compositional Tokenization for Higher-Order Interactions2605.16527v1 · Kyrie Zhao, Zehong Wang, Tianyi Ma et al.2026 · 0 citationsarXiv
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents2605.14133v2 · Yuxiang Lai, Peng Xia, Haonian Ji et al.2026 · 0 citationsarXiv
NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training2605.08144v2 · Haokai Zhao, Da Xing, Hanqun Cao et al.2026 · 0 citationsarXiv
Proteo-R1: Reasoning Foundation Models for De Novo Protein Design2605.02937v2 · Fang Wu, Weihao Xuan, Heli Qi et al.2026 · 0 citationsICML 2026
D-Flow: Multi-modality Flow Matching for D-peptide Design.41984615 · Wu, Fang, Jin, Shuting, Tang, Xiangru et al.2026 · 2 citationsIEEE journal of biomedical and health informatics. 2026;PP
RiboSphere: Learning Unified and Efficient Representations of RNA Structures2603.19636v2 · Zhou Zhang, Hanqun Cao, Cheng Tan et al.2026 · 0 citationsarXiv
W2T: LoRA Weights Already Know What They Can Do2603.15990v1 · Xiaolong Han, Ferrante Neri, Zijian Jiang et al.2026 · 0 citationsarXiv
LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning2602.07075v6 · Xinwu Ye, Yicheng Mao, Yuxuan Liao et al.2026 · 0 citationsarXiv
Why Reasoning Fails to Plan: A Planning-Centric Analysis of Long-Horizon Decision Making in LLM Agents2601.22311v1 · Zehong Wang, Fang Wu, Hongru Wang et al.2026 · 1 citationarXiv
Molecular Representations in Implicit Functional Space via Hyper-Networks2601.22327v1 · Zehong Wang, Xiaolong Han, Qi Yang et al.2026 · 0 citationsarXiv
Surface-based Molecular Design with Multi-modal Flow Matching2601.04506v1 · Fang Wu, Zhengyuan Zhou, Shuting Jin et al.2026 · 4 citationsKDD 2025
A Semi-supervised Molecular Learning Framework for Activity Cliff Estimation2601.04507v1 · Fang Wu2026 · 0 citationsProceedings of the Thirty-Third International Joint Conference on Artificial Intelligence 2024
Dynamics-inspired Structure Hallucination for Protein-protein Interaction Modeling2601.06214v1 · Fang Wu, Stan Z. Li2026 · 0 citationsTransactions on Machine Learning Research 2025
Toward Global Large Language Models in Medicine2601.02186v2 · Rui Yang, Huitao Li, Weihao Xuan et al.2026 · 1 citationarXiv
FieldSeer I: Physics-Guided World Models for Long-Horizon Electromagnetic Dynamics under Partial Observability2512.05361v1 · Ziheng Guo, Fang Wu, Maoxiong Zhao et al.2025 · 0 citationsarXiv
Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning2511.16043v2 · Peng Xia, Kaide Zeng, Jiaqi Liu et al.2025 · 0 citationsarXiv
TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots2511.17652v2 · Tianyu Liu, Weihao Xuan, Hao Wu et al.2025 · 1 citationarXiv
Joint Design of Protein Surface and Structure Using a Diffusion Bridge Model2511.16675v1 · Guanlue Li, Xufeng Zhao, Fang Wu et al.2025 · 0 citationsarXiv
RiboPO: Preference Optimization for Structure- and Stability-Aware RNA Design2510.21161v2 · Minghao Sun, Hanqun Cao, Zhou Zhang et al.2025 · 0 citationsarXiv
L^2M^3OF: A Large Language Multimodal Model for Metal-Organic Frameworks2510.20976v1 · Jiyu Cui, Fang Wu, Haokai Zhao et al.2025 · 2 citationsarXiv
From Supervision to Exploration: What Does Protein Language Model Learn During Reinforcement Learning?2510.01571v1 · Hanqun Cao, Hongrui Zhang, Junde Xu et al.2025 · 1 citationarXiv
BroRL: Scaling Reinforcement Learning via Broadened Exploration2510.01180v1 · Jian Hu, Mingjie Liu, Ximing Lu et al.2025 · 0 citationsarXiv
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search2509.25454v4 · Fang Wu, Weihao Xuan, Heli Qi et al.2025 · 0 citationsarXiv
Multiplayer Nash Preference Optimization2509.23102v4 · Fang Wu, Xu Huang, Weihao Xuan et al.2025 · 0 citationsICLR 2026 Oral
Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards2509.21882v3 · Fang Wu, Aaron Tu, Weihao Xuan et al.2025 · 0 citationsarXiv
A deep reinforcement learning platform for antibiotic discovery.41040195 · Cao, Hanqun, Torres, Marcelo D T, Zhang, Jingjie et al.2025 · 9 citationsbioRxiv : the preprint server for biology. 2025
VeriWeb: Verifiable Long-Chain Web Benchmark for Agentic Information-Seeking2508.04026v2 · Shunyu Liu, Minghao Liu, Huichi Zhou et al.2025 · 0 citationsarXiv
AI Scientists for Building Virtual-Cell Models2508.02276v3 · Xiangru Tang, Jiapeng Chen, Daniel Shao et al.2025 · 4 citationsarXiv
The Invisible Leash: Why RLVR May or May Not Escape Its Origin2507.14843v5 · Fang Wu, Weihao Xuan, Danny Xing et al.2025 · 0 citationsarXiv
Predicting mutational effects on protein binding from folding energy2507.05502v1 · Arthur Deng, Karsten Householder, Fang Wu et al.2025 · 2 citationsICML 2025
Large Language Models are Good Relational Learners2506.05725v1 · Fang Wu, Vijay Prakash Dwivedi, Jure Leskovec2025 · 4 citationsarXiv
When to Trust Context: Self-Reflective Debates for Context Reliability2506.06020v1 · Zeqi Zhou, Fang Wu, Shayan Talaei et al.2025 · 0 citationsarXiv
PoseX: AI Defeats Physics Approaches on Protein-Ligand Cross Docking2505.01700v3 · Yize Jiang, Xinze Li, Yuanyuan Zhang et al.2025 · 3 citationsarXiv
LocAgent: Graph-Guided LLM Agents for Code Localization2503.09089v2 · Zhaoling Chen, Xiangru Tang, Gangda Deng et al.2025 · 15 citationsarXiv
Author Correction: Interformer: an interaction-aware model for protein-ligand docking and affinity prediction.39939612 · Lai, Houtim, Wang, Longyue, Qian, Ruiyuan et al.2025 · 3 citationsNature communications. 2025;16(1):1566
Interformer: an interaction-aware model for protein-ligand docking and affinity prediction.39587070 · Lai, Houtim, Wang, Longyue, Qian, Ruiyuan et al.2024 · 53 citationsNature communications. 2024;15(1):10223
BC-Design: A Biochemistry-Aware Framework for Inverse Protein Design10.1101/2024.10.28.620755v3 · Tang, X., Wu, F., Liu, Y. et al.2024 · 1 citationbioRxiv
Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation2410.12476v3 · Zerui Xu, Fang Wu, Yingzhou Lu et al.2024 · 1 citationProceedings of the 16th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB 2025)
A survey of generative AI for de novo drug design: new frontiers in molecule and protein generation.39007594 · Tang, Xiangru, Dai, Howard, Knight, Elizabeth et al.2024 · 115 citationsBriefings in bioinformatics. 2024;25(4)
Career total: 143 works. 74 are in this corpus.Showing the 50 most recent.
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