Bozhen Hu

According to our database, Bozhen Hu authored at least 17 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks.

Lirong Wu, Haitao Lin, Bozhen Hu, Cheng Tan, Zhangyang Gao, Zicheng Liu, Stan Z. Li

IEEE Trans. Neural Networks Learn. Syst., June, 2024

A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer.

Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design.

Cheng Tan, Yijie Zhang, Zhangyang Gao, Bozhen Hu, Siyuan Li, Zicheng Liu, Stan Z. Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Deep Manifold Transformation for Protein Representation Learning.

Bozhen Hu, Zelin Zang, Cheng Tan, Stan Z. Li

Proceedings of the IEEE International Conference on Acoustics, 2024

PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction.

Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer.

Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MMDesign: Multi-Modality Transfer Learning for Generative Protein Design.

Jiangbin Zheng, Siyuan Li, Yufei Huang, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jun Xia, Ge Wang, Stan Z. Li

CoRR, 2023

Segment Anything in Defect Detection.

Bozhen Hu, Bin Gao, Cheng Tan, Tongle Wu, Stan Z. Li

CoRR, 2023

Lightweight Contrastive Protein Structure-Sequence Transformation.

Jiangbin Zheng, Ge Wang, Yufei Huang, Bozhen Hu, Siyuan Li, Cheng Tan, Xinwen Fan, Stan Z. Li

CoRR, 2023

Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions.

Jun Xia, Lecheng Zhang, Xiao Zhu, Yue Liu, Zhangyang Gao, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Siyuan Li, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules.

Jun Xia, Chengshuai Zhao, Bozhen Hu, Zhangyang Gao, Cheng Tan, Yue Liu, Siyuan Li, Stan Z. Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Wordreg: Mitigating the Gap between Training and Inference with Worst-Case Drop Regularization.

Jun Xia, Ge Wang, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Yongjie Xu, Stan Z. Li

Proceedings of the IEEE International Conference on Acoustics, 2023

Global-Context Aware Generative Protein Design.

Cheng Tan, Zhangyang Gao, Jun Xia, Bozhen Hu, Stan Z. Li

Proceedings of the IEEE International Conference on Acoustics, 2023

Deep Manifold Graph Auto-Encoder For Attributed Graph Embedding.

Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Protein Language Models and Structure Prediction: Connection and Progression.

Bozhen Hu, Jun Xia, Jiangbin Zheng, Cheng Tan, Yufei Huang, Yongjie Xu, Stan Z. Li

CoRR, 2022

SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation.

Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

A Lightweight Spatial and Temporal Multi-Feature Fusion Network for Defect Detection.

Bozhen Hu, Bin Gao, Wai Lok Woo, Lingfeng Ruan, Jikun Jin, Yang Yang, Yongjie Yu

IEEE Trans. Image Process., 2021