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Cong Fu 0003
Person information
- affiliation: Texas A&M University, College Station, TX, USA
Other persons with the same name
- Cong Fu
- Cong Fu 0001
— Shopee Pte. Ltd., Singapore (and 2 more)
- Cong Fu 0002 — Corby Energy Services, Livonia, MI, USA (and 1 more)
- Cong Fu 0004 — Hebei University, China
- Cong Fu 0005
- Cong Fu 0006 — University of Michigan, Ann Arbor, MI, USA
- Cong Fu 0007 — South China University of Technology, Guangzhou, China
- Cong Fu 0008 — Harbin Institute of Technology, Harbin, China
- Cong Fu 0009 — Beijing Normal University, Beijing, China
- Cong Fu 0010 — Sun Microsystems
- Cong Fu 0011
- Cong Fu 0012 — Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, China (and 1 more)
- Cong Fu 0013 — Tiger Research, Shanghai, China
- Cong Fu 0014 — China Electric Power Research Institute, Beijing, China
- Cong Fu 0015 — Chengdu University of Technology, College of Earth Sciences, China
- Cong Fu 0016 — Nanchang University, Architecture and Design College, China
- Cong Fu 0017 — Jilin University, College of Computer Science and Technology, Changchun, China
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2020 – today
- 2024
- [c6]Keqiang Yan, Cong Fu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji:
Complete and Efficient Graph Transformers for Crystal Material Property Prediction. ICLR 2024 - [c5]Xuan Zhang, Jacob Helwig, Yuchao Lin, Yaochen Xie, Cong Fu, Stephan Wojtowytsch, Shuiwang Ji:
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations. ICLR 2024 - [c4]Cong Fu, Xuan Zhang, Huixin Zhang, Hongyi Ling, Shenglong Xu, Shuiwang Ji:
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems. SDM 2024: 490-498 - [i8]Keqiang Yan, Cong Fu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji:
Complete and Efficient Graph Transformers for Crystal Material Property Prediction. CoRR abs/2403.11857 (2024) - [i7]Xuan Zhang, Jacob Helwig, Yuchao Lin, Yaochen Xie, Cong Fu, Stephan Wojtowytsch, Shuiwang Ji:
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations. CoRR abs/2403.19507 (2024) - 2023
- [c3]Jacob Helwig, Xuan Zhang, Cong Fu, Jerry Kurtin, Stephan Wojtowytsch, Shuiwang Ji:
Group Equivariant Fourier Neural Operators for Partial Differential Equations. ICML 2023: 12907-12930 - [c2]Cong Fu, Keqiang Yan, Limei Wang, Wing Yee Au, Michael McThrow, Tao Komikado, Koji Maruhashi, Kanji Uchino, Xiaoning Qian, Shuiwang Ji:
A Latent Diffusion Model for Protein Structure Generation. LoG 2023: 29 - [c1]Cong Fu, Jacob Helwig, Shuiwang Ji:
Semi-Supervised Learning for High-Fidelity Fluid Flow Reconstruction. LoG 2023: 36 - [i6]Cong Fu, Keqiang Yan, Limei Wang, Wing Yee Au, Michael McThrow, Tao Komikado, Koji Maruhashi, Kanji Uchino, Xiaoning Qian, Shuiwang Ji:
A Latent Diffusion Model for Protein Structure Generation. CoRR abs/2305.04120 (2023) - [i5]Jacob Helwig, Xuan Zhang, Cong Fu, Jerry Kurtin, Stephan Wojtowytsch, Shuiwang Ji:
Group Equivariant Fourier Neural Operators for Partial Differential Equations. CoRR abs/2306.05697 (2023) - [i4]Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR abs/2307.08423 (2023) - 2022
- [i3]Cong Fu, Xuan Zhang, Huixin Zhang, Hongyi Ling, Shenglong Xu
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems. CoRR abs/2206.07370 (2022) - 2021
- [j1]Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Haiyang Yu, Zhao Xu, Jingtun Zhang, Yi Liu
DIG: A Turnkey Library for Diving into Graph Deep Learning Research. J. Mach. Learn. Res. 22: 240:1-240:9 (2021) - [i2]Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan
DIG: A Turnkey Library for Diving into Graph Deep Learning Research. CoRR abs/2103.12608 (2021) - [i1]Meng Liu, Cong Fu, Xuan Zhang, Limei Wang, Yaochen Xie, Hao Yuan, Youzhi Luo, Zhao Xu, Shenglong Xu, Shuiwang Ji:
Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks. CoRR abs/2106.08551 (2021)
Coauthor Index
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