| 2025 | AAAI | Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling. | Fang Wu, Bozhen Hu, Stan Z. Li |
| 2025 | ACL | LocAgent: Graph-Guided LLM Agents for Code Localization. | Zhaoling Chen, Robert Tang, Gangda Deng, Fang Wu, Jialong Wu, Zhiwei Jiang, Viktor K. Prasanna, Arman Cohan, Xingyao Wang |
| 2025 | ACL | Large Language Models are Good Relational Learners. | Fang Wu, Vijay Prakash Dwivedi, Jure Leskovec |
| 2025 | EMNLP | AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity. | Yu Zhang, Dong Guo, Fang Wu, Guoliang Zhu, Dian Ding, Yiming Zhang |
| 2025 | ICML | Predicting mutational effects on protein binding from folding energy. | Arthur Deng, Karsten D. Householder, Fang Wu, K. Christopher Garcia, Brian L. Trippe |
| 2025 | KDD | Surface-based Molecular Design with Multi-modal Flow Matching. | Fang Wu, Zhengyuan Zhou, Shuting Jin, Xiangxiang Zeng, Jure Leskovec, Jinbo Xu |
| 2025 | VTC | A Global Optimization Algorithm for 3D Point-Set Registration Based on Quantum Particle Swarm Optimization. | Fang Wu, Ying Li, Dingfei Jin |
| 2025 | WACV | 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 |
| 2024 | EMNLP | InsertGNN: A Hierarchical Graph Neural Network for the TOEFL Sentence Insertion Problem. | Fang Wu, Stan Z. Li |
| 2024 | ICLR | SemiReward: A General Reward Model for Semi-supervised Learning. | Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z. Li |
| 2024 | ICML | Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces. | Fang Wu, Stan Z. Li |
| 2024 | IJCAI | A Semi-supervised Molecular Learning Framework for Activity Cliff Estimation. | Fang Wu |
| 2023 | AAAI | DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations. | Fang Wu, Stan Z. Li |
| 2023 | AAAI | Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs. | Fang Wu, Dragomir Radev, Stan Z. Li |
| 2023 | ICML | Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. | Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z. Li |
| 2023 | ICML | 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 |
| 2022 | IPEC | Construction of Real-time Analysis System of Sports Video Images Based on Fuzzy Clustering Algorithm. | Fang Wu |
| 2015 | INDIN | Support vector regression based approach for key index forecasting with applications. | Shen Yin, Fang Wu, Hao Luo, Huijun Gao |
| 2013 | ICNC | A novel SPDF ensemble classifier for cancer classification. | Chunying Zhang, Fang Wu, Tuopeng Tong, Sun Chen, Kai Song, Min Ma, Guangqiang Zheng |
| 2013 | IGARSS | Coastal erosion mapping through intergration of SAR and Landsat TM imagery. | Linlin Ge, Xiaojing Li, Fang Wu, Ian L. Turner |
| 2010 | ADMA | Predicting Defect Priority Based on Neural Networks. | Lian Yu, Wei-Tek Tsai, Wei Zhao, Fang Wu |
| 2009 | ASPDAC | A delay-optimized universal FPGA routing architecture. | Fang Wu, Huowen Zhang, Lei Duan, Jinmei Lai, Yuan Wang, Jiarong Tong |
| 2007 | STOC | Proportional response dynamics leads to market equilibrium. | Fang Wu, Li Zhang |
| 2006 | ISDA | A Novel Spatial Clustering with Obstacles Constraints Based on Genetic Algorithms and K-Medoids. | Xueping Zhang, Jiayao Wang, Fang Wu, Zhongshan Fan, Xiaoqing Li |