Bozhen Hu

According to our database, Bozhen Hu authored at least 28 papers between 2021 and 2025.

Collaborative distances:

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

2025

EnTao-GPM: DNA Foundation Model for Predicting the Germline Pathogenic Mutations.

Zekai Lin, Haoran Sun, Yucheng Guo, Yujie Yang, Yanwen Wang, Bozhen Hu, Chonghang Ye, Qirong Yang, Fan Zhong, Xiaoming Zhang, Lei Liu

CoRR, July, 2025

PFMBench: Protein Foundation Model Benchmark.

Zhangyang Gao, Hao Wang, Cheng Tan, Chenrui Xu, Mengdi Liu, Bozhen Hu, Linlin Chao, Xiaoming Zhang, Stan Z. Li

CoRR, June, 2025

Seq2Topt: a sequence-based deep learning predictor of enzyme optimal temperature.

Sizhe Qiu, Bozhen Hu, Jing Zhao, Weiren Xu, Aidong Yang

Briefings Bioinform., 2025

ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing.

Shaorong Chen, Jun Xia, Jingbo Zhou, Lecheng Zhang, Zhangyang Gao, Bozhen Hu, Cheng Tan, Wenjie Du, Stan Z. Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction.

Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Lirong Wu, Siyuan Li, Yufei Huang, Jun Xia, Bozhen Hu, Stan Z. Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling.

Fang Wu, Bozhen Hu, Stan Z. Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

Complex hierarchical structures analysis in single-cell data with Poincaré deep manifold transformation.

Yongjie Xu, Zelin Zang, Bozhen Hu, Yue Yuan, Cheng Tan, Jun Xia, Stan Z. Li

Briefings Bioinform., 2024

FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning.

Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ProtGO: Function-Guided Protein Modeling for Unified Representation Learning.

Bozhen Hu, Cheng Tan, Yongjie Xu, Zhangyang Gao, Jun Xia, Lirong Wu, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases.

Jun Xia, Shaorong Chen, Jingbo Zhou, Xiaojun Shan, Wenjie Du, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jiangbin Zheng, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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