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Bozhen Hu
Bozhen Hu
PhD, Zhejiang University & Westlake University
Dirección de correo verificada de westlake.edu.cn
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Citado por
Citado por
Año
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
2562022
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
902023
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
702020
Generative de novo protein design with global context
C Tan, Z Gao, J Xia, B Hu, SZ Li
arXiv preprint arXiv:2204.10673, 2022
392022
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
242022
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
232023
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
182020
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
92023
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
72024
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
72023
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
72023
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
52024
Segment anything in defect detection
B Hu, B Gao, C Tan, T Wu, SZ Li
arXiv preprint arXiv:2311.10245, 2023
42023
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
42023
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
32023
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
32023
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
22024
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
22023
Wordreg: Mitigating the gap between training and inference with worst-case drop regularization
J Xia, G Wang, B Hu, C Tan, J Zheng, Y Xu, SZ Li
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
22023
Deep Manifold Transformation for Protein Representation Learning
B Hu, Z Zang, C Tan, SZ Li
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
12024
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Artículos 1–20