| Dig: A turnkey library for diving into graph deep learning research M Liu, Y Luo, L Wang, Y Xie, H Yuan, S Gui, H Yu, Z Xu, J Zhang, Y Liu, ... Journal of Machine Learning Research 22 (240), 1-9, 2021 | 148* | 2021 |
| Artificial intelligence for science in quantum, atomistic, and continuum systems X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie, M Liu, Y Lin, Z Xu, K Yan, ... arXiv preprint arXiv:2307.08423, 2023 | 127 | 2023 |
| Group equivariant fourier neural operators for partial differential equations J Helwig, X Zhang, C Fu, J Kurtin, S Wojtowytsch, S Ji arXiv preprint arXiv:2306.05697, 2023 | 35 | 2023 |
| A Latent Diffusion Model for Protein Structure Generation C Fu, K Yan, L Wang, WY Au, M McThrow, T Komikado, K Maruhashi, ... The Second Learning on Graphs Conference, 2023 | 29* | 2023 |
| A reconfigurable three-finger robotic gripper G Li, C Fu, F Zhang, S Wang 2015 IEEE International Conference on Information and Automation, 1556-1561, 2015 | 21 | 2015 |
| Complete and efficient graph transformers for crystal material property prediction K Yan, C Fu, X Qian, X Qian, S Ji arXiv preprint arXiv:2403.11857, 2024 | 15 | 2024 |
| Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks M Liu, C Fu, X Zhang, L Wang, Y Xie, H Yuan, Y Luo, Z Xu, S Xu, S Ji NeurIPS 2021 AI for Science Workshop, 2021 | 14 | 2021 |
| FPGA-based power efficient face detection for mobile robots C Fu, Y Yu 2019 IEEE international conference on robotics and biomimetics (ROBIO), 467-473, 2019 | 13 | 2019 |
| Lattice convolutional networks for learning ground states of quantum many-body systems C Fu, X Zhang, H Zhang, H Ling, S Xu, S Ji Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | 12 | 2024 |
| Sinenet: Learning temporal dynamics in time-dependent partial differential equations X Zhang, J Helwig, Y Lin, Y Xie, C Fu, S Wojtowytsch, S Ji arXiv preprint arXiv:2403.19507, 2024 | 10 | 2024 |
| Artificial intelligence for science in quantum, atomistic, and continuum systems. arXiv 2023 X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie, M Liu, Y Lin, Z Xu, K Yan, ... arXiv preprint arXiv:2307.08423 10, 2023 | 10 | 2023 |
| Mechanical design and gait plan of a hydraulic-actuated biped robot Y Lei, J Luo, C Fu, JW Yang, Y Fu 2015 IEEE International Conference on Mechatronics and Automation (ICMA …, 2015 | 5 | 2015 |
| Artificial intelligence for science in quantum, atomistic, and continuum systems (2023) X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie, M Liu, Y Lin, Z Xu, K Yan, ... arXiv preprint arXiv:2307.08423, 0 | 5 | |
| A LESS robotic arm control system based on visual feedback T Ma, C Fu, H Feng, Y Lv 2015 IEEE International Conference on Information and Automation, 2042-2047, 2015 | 3 | 2015 |
| Fragment and Geometry Aware Tokenization of Molecules for Structure-Based Drug Design Using Language Models C Fu, X Li, B Olson, H Ji, S Ji arXiv preprint arXiv:2408.09730, 2024 | 2 | 2024 |
| BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery PS John, D Lin, P Binder, M Greaves, V Shah, JS John, A Lange, P Hsu, ... arXiv preprint arXiv:2411.10548, 2024 | 1 | 2024 |
| Semi-Supervised Learning for High-Fidelity Fluid Flow Reconstruction C Fu, J Helwig, S Ji Learning on Graphs Conference, 36: 1-36: 19, 2024 | | 2024 |
Shuiwang Ji, Professor and Truchard...Department of Computer Science & Engineering, Texas A&M UniversityПотвърден имейл адрес: tamu.edu
