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ORCIDFang Wu 0002
Person information
- affiliation: Stanford University, CA, USA
- affiliation (2029-2021): Columbia University, NY, USA
Other persons with the same name
- Fang Wu — disambiguation page
- Fang Wu 0001 — Hewlett Packard Laboratories, USA
- Fang Wu 0003
![[0000-0003-2365-6283]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-2365-6283")
— Desay SV Automotive, Singapore (and 1 more) - Fang Wu 0004 — Harbin Institute of Technology, Heilongjiang, China
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2020 – today
- 2024
[j2]Fang Wu, Siyuan Li, Stan Z. Li:
Discovering the Representation Bottleneck of Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 36(12): 7998-8008 (2024)- [c9]Fang Wu, Stan Z. Li:
InsertGNN: A Hierarchical Graph Neural Network for the TOEFL Sentence Insertion Problem. EMNLP (Findings) 2024: 173-180 - [c8]Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z. Li:
SemiReward: A General Reward Model for Semi-supervised Learning. ICLR 2024 - [c7]Fang Wu, Stan Z. Li:
Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces. ICML 2024 - [c6]Fang Wu, Shuting Jin, Siyuan Li, Stan Z. Li:
Instructor-inspired Machine Learning for Robust Molecular Property Prediction. NeurIPS 2024 - 2023
- [j1]Fang Wu, Nicolas Courty, Shuting Jin, Stan Z. Li:
Improving molecular representation learning with metric learning-enhanced optimal transport. Patterns 4(4): 100714 (2023) - [c5]Fang Wu, Dragomir Radev, Stan Z. Li:
Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs. AAAI 2023: 5312-5320 - [c4]Fang Wu, Stan Z. Li:
DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations. AAAI 2023: 5321-5329 - [c3]Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z. Li:
Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. ICML 2023: 20149-20167 - [c2]Fang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z. Li:
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching. ICML 2023: 37511-37523 - [c1]Fang Wu, Stan Z. Li:
A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design. NeurIPS 2023 - [i11]Fang Wu, Siyuan Li, Lirong Wu, Dragomir Radev, Yinghui Jiang, Xurui Jin, Zhangming Niu, Stan Z. Li:
Explaining Graph Neural Networks via Non-parametric Subgraph Matching. CoRR abs/2301.02780 (2023) - [i10]Fang Wu, Huiling Qin, Siyuan Li, Stan Z. Li, Xianyuan Zhan, Jinbo Xu:
InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems. CoRR abs/2304.03906 (2023) - [i9]Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z. Li:
SemiReward: A General Reward Model for Semi-supervised Learning. CoRR abs/2310.03013 (2023) - [i8]Fang Wu, Stan Z. Li:
A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design. CoRR abs/2311.16126 (2023) - 2022
- [i7]Fang Wu, Nicolas Courty, Zhang Qiang, Jiyu Cui, Ziqing Li:
Metric Learning-enhanced Optimal Transport for Biochemical Regression Domain Adaptation. CoRR abs/2202.06208 (2022) - [i6]Fang Wu, Qiang Zhang, Dragomir R. Radev, Yuyang Wang, Xurui Jin, Yinghui Jiang, Zhangming Niu, Stan Z. Li:
Pre-training of Deep Protein Models with Molecular Dynamics Simulations for Drug Binding. CoRR abs/2204.08663 (2022) - [i5]Fang Wu, Qiang Zhang, Xurui Jin, Yinghui Jiang, Stan Z. Li:
A Score-based Geometric Model for Molecular Dynamics Simulations. CoRR abs/2204.08672 (2022) - [i4]Fang Wu, Siyuan Li, Lirong Wu, Dragomir R. Radev, Qiang Zhang, Stan Z. Li:
Discovering the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions. CoRR abs/2205.07266 (2022) - [i3]Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. CoRR abs/2205.13943 (2022) - [i2]Fang Wu, Tao Yu, Dragomir Radev, Jinbo Xu:
When Geometric Deep Learning Meets Pretrained Protein Language Models. CoRR abs/2212.03447 (2022) - 2021
- [i1]Fang Wu, Qiang Zhang, Dragomir R. Radev, Jiyu Cui, Wen Zhang, Huabin Xing, Ningyu Zhang, Huajun Chen:
3D-Transformer: Molecular Representation with Transformer in 3D Space. CoRR abs/2110.01191 (2021)
Coauthor Index
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