Bozhen Hu - RankMe

36 papers A* 14Misc 4Journal 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Complex hierarchical structures analysis in single-cell data with Poincaré deep manifold transformation. Briefings Bioinform. Yongjie Xu, Zelin Zang, Bozhen Hu, Yue Yuan, Cheng Tan, Jun Xia, Stan Z. Li
2025	J	`jnl`	EnTao-GPM: DNA Foundation Model for Predicting the Germline Pathogenic Mutations. CoRR Zekai Lin, Haoran Sun, Yucheng Guo, Yujie Yang, Yanwen Wang, Bozhen Hu, Chonghang Ye, Qirong Yang, Fan Zhong, Xiaoming Zhang, Lei Liu
2025	A*	`conf`	Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling. AAAI Fang Wu, Bozhen Hu, Stan Z. Li
2025	A*	`conf`	MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction. ICLR Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Lirong Wu, Siyuan Li, Yufei Huang, Jun Xia, Bozhen Hu, Stan Z. Li
2025	J	`jnl`	Multimodal Regression for Enzyme Turnover Rates Prediction. CoRR Bozhen Hu, Cheng Tan, Siyuan Li, Jiangbin Zheng, Sizhe Qiu, Jun Xia, Stan Z. Li
2025	J	`jnl`	PFMBench: Protein Foundation Model Benchmark. CoRR Zhangyang Gao, Hao Wang, Cheng Tan, Chenrui Xu, Mengdi Liu, Bozhen Hu, Linlin Chao, Xiaoming Zhang, Stan Z. Li
2025	A*	`conf`	ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing. ICLR Shaorong Chen, Jun Xia, Jingbo Zhou, Lecheng Zhang, Zhangyang Gao, Bozhen Hu, Cheng Tan, Wenjie Du, Stan Z. Li
2025	J	`jnl`	Seq2Topt: a sequence-based deep learning predictor of enzyme optimal temperature. Briefings Bioinform. Sizhe Qiu, Bozhen Hu, Jing Zhao, Weiren Xu, Aidong Yang
2024	A*	`conf`	A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer. ICML Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li
2024	J	`jnl`	A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer. CoRR Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li
2024	A*	`conf`	AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases. NeurIPS Jun Xia, Shaorong Chen, Jingbo Zhou, Xiaojun Shan, Wenjie Du, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jiangbin Zheng, Stan Z. Li
2024	J	`jnl`	Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Lirong Wu, Haitao Lin, Bozhen Hu, Cheng Tan, Zhangyang Gao, Zicheng Liu, Stan Z. Li
2024	A*	`conf`	Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer. AAAI Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li
2024	J	`jnl`	Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding. CoRR Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li
2024	Misc	`conf`	Deep Manifold Transformation for Protein Representation Learning. ICASSP Bozhen Hu, Zelin Zang, Cheng Tan, Stan Z. Li
2024	J	`jnl`	Deep Manifold Transformation for Protein Representation Learning. CoRR Bozhen Hu, Zelin Zang, Cheng Tan, Stan Z. Li
2024	A*	`conf`	FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning. NeurIPS Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li
2024	J	`jnl`	FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning. CoRR Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li
2024	A*	`conf`	Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure. NeurIPS Bozhen Hu, Cheng Tan, Jun Xia, Yue Liu, Lirong Wu, Jiangbin Zheng, Yongjie Xu, Yufei Huang, Stan Z. Li
2024	J	`jnl`	MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction. CoRR Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Lirong Wu, Siyuan Li, Yufei Huang, Jun Xia, Bozhen Hu, Stan Z. Li
2024	A*	`conf`	PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. AAAI Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li
2024	J	`jnl`	PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. CoRR Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li
2024	A*	`conf`	ProtGO: Function-Guided Protein Modeling for Unified Representation Learning. NeurIPS Bozhen Hu, Cheng Tan, Yongjie Xu, Zhangyang Gao, Jun Xia, Lirong Wu, Stan Z. Li
2024	A*	`conf`	RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design. ICLR Cheng Tan, Yijie Zhang, Zhangyang Gao, Bozhen Hu, Siyuan Li, Zicheng Liu, Stan Z. Li
2023	Misc	`conf`	Deep Manifold Graph Auto-Encoder For Attributed Graph Embedding. ICASSP Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li
2023	Misc	`conf`	Global-Context Aware Generative Protein Design. ICASSP Cheng Tan, Zhangyang Gao, Jun Xia, Bozhen Hu, Stan Z. Li
2023	J	`jnl`	Lightweight Contrastive Protein Structure-Sequence Transformation. CoRR Jiangbin Zheng, Ge Wang, Yufei Huang, Bozhen Hu, Siyuan Li, Cheng Tan, Xinwen Fan, Stan Z. Li
2023	J	`jnl`	MMDesign: Multi-Modality Transfer Learning for Generative Protein Design. CoRR Jiangbin Zheng, Siyuan Li, Yufei Huang, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jun Xia, Ge Wang, Stan Z. Li
2023	A*	`conf`	Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules. ICLR Jun Xia, Chengshuai Zhao, Bozhen Hu, Zhangyang Gao, Cheng Tan, Yue Liu, Siyuan Li, Stan Z. Li
2023	J	`jnl`	Segment Anything in Defect Detection. CoRR Bozhen Hu, Bin Gao, Cheng Tan, Tongle Wu, Stan Z. Li
2023	A*	`conf`	Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions. NeurIPS Jun Xia, Lecheng Zhang, Xiao Zhu, Yue Liu, Zhangyang Gao, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Siyuan Li, Stan Z. Li
2023	Misc	`conf`	Wordreg: Mitigating the Gap between Training and Inference with Worst-Case Drop Regularization. ICASSP Jun Xia, Ge Wang, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Yongjie Xu, Stan Z. Li
2022	J	`jnl`	Protein Language Models and Structure Prediction: Connection and Progression. CoRR Bozhen Hu, Jun Xia, Jiangbin Zheng, Cheng Tan, Yufei Huang, Yongjie Xu, Stan Z. Li
2022	A*	`conf`	SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation. WWW Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li
2022	J	`jnl`	SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation. CoRR Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li
2021	J	`jnl`	A Lightweight Spatial and Temporal Multi-Feature Fusion Network for Defect Detection. IEEE Trans. Image Process. Bozhen Hu, Bin Gao, Wai Lok Woo, Lingfeng Ruan, Jikun Jin, Yang Yang, Yongjie Yu