Simgrace: A simple framework for graph contrastive learning without data augmentation J Xia, L Wu, J Chen, B Hu, SZ Li
Proceedings of the ACM Web Conference 2022, 1070-1079, 2022
310 2022 Mole-bert: Rethinking pre-training graph neural networks for molecules J Xia, C Zhao, B Hu, Z Gao, C Tan, Y Liu, S Li, SZ Li
136 2023 A lightweight spatial and temporal multi-feature fusion network for defect detection B Hu, B Gao, WL Woo, L Ruan, J Jin, Y Yang, Y Yu
IEEE Transactions on Image Processing 30, 472-486, 2020
75 2020 Generative de novo protein design with global context C Tan, Z Gao, J Xia, B Hu, SZ Li
arXiv preprint arXiv:2204.10673, 2022
44 2022 Protein language models and structure prediction: Connection and progression B Hu, J Xia, J Zheng, C Tan, Y Huang, Y Xu, SZ Li
arXiv preprint arXiv:2211.16742, 2022
32 2022 Beyond homophily and homogeneity assumption: Relation-based frequency adaptive graph neural networks L Wu, H Lin, B Hu, C Tan, Z Gao, Z Liu, SZ Li
IEEE Transactions on Neural Networks and Learning Systems, 2023
28 2023 Understanding the limitations of deep models for molecular property prediction: Insights and solutions J Xia, L Zhang, X Zhu, Y Liu, Z Gao, B Hu, C Tan, J Zheng, S Li, SZ Li
Advances in Neural Information Processing Systems 36, 64774-64792, 2023
23 2023 Defect depth retrieval method based on nonlinear transformation for pulsed thermographic inspection M Wang, B Gao, T Wu, B Hu, L Liu
International Journal of Thermal Sciences 149, 106196, 2020
20 2020 Learning complete protein representation by deep coupling of sequence and structure B Hu, C Tan, J Xia, J Zheng, Y Huang, L Wu, Y Liu, Y Xu, SZ Li
bioRxiv, 2023.07. 05.547769, 2023
12 2023 Lightweight contrastive protein structure-sequence transformation J Zheng, G Wang, Y Huang, B Hu, S Li, C Tan, X Fan, SZ Li
arXiv preprint arXiv:2303.11783, 2023
10 2023 Global-context aware generative protein design C Tan, Z Gao, J Xia, B Hu, SZ Li
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
9 2023 Psc-cpi: Multi-scale protein sequence-structure contrasting for efficient and generalizable compound-protein interaction prediction L Wu, Y Huang, C Tan, Z Gao, B Hu, H Lin, Z Liu, SZ Li
Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 310-319, 2024
8 2024 Cross-gate mlp with protein complex invariant embedding is a one-shot antibody designer C Tan, Z Gao, L Wu, J Xia, J Zheng, X Yang, Y Liu, B Hu, SZ Li
Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15222 …, 2024
8 2024 MMDesign: Multi-Modality Transfer Learning for Generative Protein Design J Zheng, S Li, Y Huang, Z Gao, C Tan, B Hu, J Xia, G Wang, SZ Li
arXiv preprint arXiv:2312.06297, 2023
6 2023 RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design C Tan, Y Zhang, Z Gao, B Hu, S Li, Z Liu, SZ Li
The Twelfth International Conference on Learning Representations, 2024
5 2024 Segment anything in defect detection B Hu, B Gao, C Tan, T Wu, SZ Li
arXiv preprint arXiv:2311.10245, 2023
5 2023 Hierarchical data-efficient representation learning for tertiary structure-based rna design C Tan, Y Zhang, Z Gao, H Cao, SZ Li
arXiv preprint arXiv:2301.10774, 2023
5 2023 A Graph is Worth Z Gao, D Dong, C Tan, J Xia, B Hu, SZ Li
arXiv preprint arXiv:2402.02464, 2024
3 2024 Deep manifold graph auto-encoder for attributed graph embedding B Hu, Z Zang, J Xia, L Wu, C Tan, SZ Li
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
3 2023 FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning S Liu, J Xia, L Zhang, Y Liu, Y Liu, W Du, Z Gao, B Hu, C Tan, H Xiang, ...
arXiv preprint arXiv:2410.15010, 2024
2 2024 
Stan Z. Li (李子青)Westlake University & CAS Institute of AutomationDirección de correo verificada de westlake.edu.cn