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Bozhen Hu
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2020 – today
- 2024
- [j2]Lirong Wu
, Haitao Lin
Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8497-8509 (2024) - [c11]Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li:
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. AAAI 2024: 310-319 - [c10]Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li:
Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer. AAAI 2024: 15222-15230 - [c9]Bozhen Hu, Zelin Zang, Cheng Tan, Stan Z. Li:
Deep Manifold Transformation for Protein Representation Learning. ICASSP 2024: 1801-1805 - [c8]Cheng Tan, Yijie Zhang
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design. ICLR 2024 - [c7]Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li:
A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer. ICML 2024 - [i9]Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li:
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding. CoRR abs/2401.06727 (2024) - [i8]Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li:
A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer. CoRR abs/2402.02464 (2024) - [i7]Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li:
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. CoRR abs/2402.08198 (2024) - [i6]Bozhen Hu, Zelin Zang, Cheng Tan, Stan Z. Li:
Deep Manifold Transformation for Protein Representation Learning. CoRR abs/2402.09416 (2024) - 2023
- [c6]Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li:
Deep Manifold Graph Auto-Encoder For Attributed Graph Embedding. ICASSP 2023: 1-5 - [c5]Cheng Tan, Zhangyang Gao, Jun Xia, Bozhen Hu, Stan Z. Li:
Global-Context Aware Generative Protein Design. ICASSP 2023: 1-5 - [c4]Jun Xia, Ge Wang, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Yongjie Xu, Stan Z. Li:
Wordreg: Mitigating the Gap between Training and Inference with Worst-Case Drop Regularization. ICASSP 2023: 1-5 - [c3]Jun Xia, Chengshuai Zhao, Bozhen Hu, Zhangyang Gao, Cheng Tan, Yue Liu, Siyuan Li, Stan Z. Li:
Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules. ICLR 2023 - [c2]Jun Xia, Lecheng Zhang, Xiao Zhu, Yue Liu, Zhangyang Gao, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Siyuan Li, Stan Z. Li:
Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions. NeurIPS 2023 - [i5]Jiangbin Zheng, Ge Wang, Yufei Huang, Bozhen Hu, Siyuan Li, Cheng Tan, Xinwen Fan, Stan Z. Li:
Lightweight Contrastive Protein Structure-Sequence Transformation. CoRR abs/2303.11783 (2023) - [i4]Bozhen Hu, Bin Gao, Cheng Tan, Tongle Wu, Stan Z. Li:
Segment Anything in Defect Detection. CoRR abs/2311.10245 (2023) - [i3]Jiangbin Zheng, Siyuan Li, Yufei Huang, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jun Xia, Ge Wang, Stan Z. Li:
MMDesign: Multi-Modality Transfer Learning for Generative Protein Design. CoRR abs/2312.06297 (2023) - 2022
- [c1]Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li:
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation. WWW 2022: 1070-1079 - [i2]Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li:
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation. CoRR abs/2202.03104 (2022) - [i1]Bozhen Hu, Jun Xia, Jiangbin Zheng, Cheng Tan, Yufei Huang, Yongjie Xu, Stan Z. Li:
Protein Language Models and Structure Prediction: Connection and Progression. CoRR abs/2211.16742 (2022) - 2021
- [j1]Bozhen Hu
A Lightweight Spatial and Temporal Multi-Feature Fusion Network for Defect Detection. IEEE Trans. Image Process. 30: 472-486 (2021)
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