Jiahua Rao - RankMe

36 papers A* 10Journal 23Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Advancing Protein Design via Multi-Agent Reinforcement Learning with Pareto-Based Collaborative Optimization. AAAI Mingming Zhu, Jiahua Rao, Xiaoyu Chen, Qianmu Yuan, Yuedong Yang
2026	J	`jnl`	BindCLIP: A Unified Contrastive-Generative Representation Learning Framework for Virtual Screening. CoRR Anjie Qiao, Zhen Wang, Yaliang Li, Jiahua Rao, Yuedong Yang
2026	A*	`conf`	De Novo Molecular Generation from Mass Spectra via Many-Body Enhanced Diffusion. AAAI Xichen Sun, Wentao Wei, Jiahua Rao, Jiancong Xie, Yuedong Yang
2026	J	`jnl`	De Novo Molecular Generation from Mass Spectra via Many-Body Enhanced Diffusion. CoRR Xichen Sun, Wentao Wei, Jiahua Rao, Jiancong Xie, Yuedong Yang
2026	A*	`conf`	Informative Subgraph Extraction with Deep Reinforcement Learning for Drug-Drug Interaction Prediction. AAAI Jiancong Xie, Wentao Wei, Chi Zhang, Jiahua Rao, Yuedong Yang
2025	J	`jnl`	A 3D pocket-aware and affinity-guided diffusion model for lead optimization. CoRR Anjie Qiao, Junjie Xie, Weifeng Huang, Hao Zhang, Jiahua Rao, Shuangjia Zheng, Yuedong Yang, Zhen Wang, Guo-Bo Li, Jinping Lei
2025	J	`jnl`	A 3D pocket-aware lead optimization model with knowledge guidance and its application for discovery of new glutaminyl cyclase inhibitors. Briefings Bioinform. Anjie Qiao, Yuting Chen, Junjie Xie, Weifeng Huang, Hao Zhang, Qirui Deng, Jiahua Rao, Ji Deng, Fanbo Meng, Zhen Wang, Mingyuan Xu, Hongming Chen, Jiancong Xie, Shuangjia Zheng, Yuedong Yang, Guo-Bo Li, Jinping Lei
2025	J	`jnl`	A Novel Framework for Multi-Modal Protein Representation Learning. CoRR Runjie Zheng, Zhen Wang, Anjie Qiao, Jiancong Xie, Jiahua Rao, Yuedong Yang
2025	A*	`conf`	Advancing Retrosynthesis with Retrieval-Augmented Graph Generation. AAAI Anjie Qiao, Zhen Wang, Jiahua Rao, Yuedong Yang, Zhewei Wei
2025	J	`jnl`	Fitness aligned structural modeling enables scalable virtual screening with AuroBind. CoRR Zhongyue Zhang, Jiahua Rao, Jie Zhong, Weiqiang Bai, Dongxue Wang, Shaobo Ning, Lifeng Qiao, Sheng Xu, Runze Ma, Will Hua, Jack Xiaoyu Chen, Odin Zhang, Wei Lu, Hanyi Feng, He Yang, Xinchao Shi, Rui Li, Wanli Ouyang, Xinzhu Ma, Jiahao Wang, Jixian Zhang, Jia Duan, Siqi Sun, Jian Zhang, Shuangjia Zheng
2025	—	`conf`	Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Molecular Graph Learning. KDD (2) Jiahua Rao, Hanjing Lin, Jiancong Xie, Zhen Wang, Shuangjia Zheng, Yuedong Yang
2025	A*	`conf`	Multi-modal Contrastive Learning with Negative Sampling Calibration for Phenotypic Drug Discovery. CVPR Jiahua Rao, Hanjing Lin, Leyu Chen, Jiancong Xie, Shuangjia Zheng, Yuedong Yang
2025	A*	`conf`	Quadruple Attention in Many-body Systems for Accurate Molecular Property Predictions. ICML Jiahua Rao, Dahao Xu, Wentao Wei, Yicong Chen, Mingjun Yang, Yuedong Yang
2024	J	`jnl`	Deep generative design of RNA aptamers using structural predictions. Nat. Comput. Sci. Felix Wong, Dongchen He, Aarti Krishnan, Liang Hong, Alexander Z. Wang, Jiuming Wang, Zhihang Hu, Satotaka Omori, Alicia Li, Jiahua Rao, Qinze Yu, Wengong Jin, Tianqing Zhang, Katherine Ilia, Jack X. Chen, Shuangjia Zheng, Irwin King, Yu Li, James J. Collins
2024	J	`jnl`	Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks. CoRR Jiahua Rao, Jiancong Xie, Hanjing Lin, Shuangjia Zheng, Zhen Wang, Yuedong Yang
2024	—	`conf`	Interpretable Drug Response Prediction through Molecule Structure-aware and Knowledge-Guided Visible Neural Network. BIBM Jiancong Xie, Zhe Zhang, Youyou Li, Jiahua Rao, Yuedong Yang
2024	J	`jnl`	Predicting disease-gene associations through self-supervised mutual infomax graph convolution network. Comput. Biol. Medicine Jiancong Xie, Jiahua Rao, Junjie Xie, Huiying Zhao, Yuedong Yang
2024	J	`jnl`	Self-Supervised Contrastive Molecular Representation Learning with a Chemical Synthesis Knowledge Graph. J. Chem. Inf. Model. Jiancong Xie, Yi Wang, Jiahua Rao, Shuangjia Zheng, Yuedong Yang
2023	A*	`conf`	Retrieval-based Knowledge Augmented Vision Language Pre-training. ACM Multimedia Jiahua Rao, Zifei Shan, Longpo Liu, Yao Zhou, Yuedong Yang
2023	J	`jnl`	Retrieval-based Knowledge Augmented Vision Language Pre-training. CoRR Jiahua Rao, Zifei Shan, Longpo Liu, Yao Zhou, Yuedong Yang
2022	J	`jnl`	AlphaFold2-aware protein-DNA binding site prediction using graph transformer. Briefings Bioinform. Qianmu Yuan, Sheng Chen, Jiahua Rao, Shuangjia Zheng, Huiying Zhao, Yuedong Yang
2022	A*	`conf`	Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction. IJCAI Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang
2022	J	`jnl`	Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction. CoRR Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang
2022	J	`jnl`	Imputing DNA Methylation by Transferred Learning Based Neural Network. J. Comput. Sci. Technol. Xinfeng Wang, Xiang Zhou, Jiahua Rao, Zhu-Jin Zhang, Yue-Dong Yang
2022	J	`jnl`	Integrating supercomputing and artificial intelligence for life science. Patterns Jiahua Rao, Shuangjia Zheng, Yuedong Yang
2022	J	`jnl`	Quantitative evaluation of explainable graph neural networks for molecular property prediction. Patterns Jiahua Rao, Shuangjia Zheng, Yutong Lu, Yuedong Yang
2022	A*	`conf`	TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction. NeurIPS Wei Lu, Qifeng Wu, Jixian Zhang, Jiahua Rao, Chengtao Li, Shuangjia Zheng
2021	J	`jnl`	Integrating multi-omics data through deep learning for accurate cancer prognosis prediction. Comput. Biol. Medicine Hua Chai, Xiang Zhou, Zhongyue Zhang, Jiahua Rao, Huiying Zhao, Yuedong Yang
2021	A*	`conf`	Learning Attributed Graph Representation with Communicative Message Passing Transformer. IJCAI Jianwen Chen, Shuangjia Zheng, Ying Song, Jiahua Rao, Yuedong Yang
2021	J	`jnl`	Learning Attributed Graph Representations with Communicative Message Passing Transformer. CoRR Jianwen Chen, Shuangjia Zheng, Ying Song, Jiahua Rao, Yuedong Yang
2021	J	`jnl`	PharmKG: a dedicated knowledge graph benchmark for bomedical data mining. Briefings Bioinform. Shuangjia Zheng, Jiahua Rao, Ying Song, Jixian Zhang, Xianglu Xiao, Evandro Fei Fang, Yuedong Yang, Zhangming Niu
2021	J	`jnl`	Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction. CoRR Jiahua Rao, Shuangjia Zheng, Yuedong Yang
2020	J	`jnl`	Accurate prediction of genome-wide RNA secondary structure profile based on extreme gradient boosting. Bioinform. Yaobin Ke, Jiahua Rao, Huiying Zhao, Yutong Lu, Nong Xiao, Yuedong Yang
2020	—	`conf`	Accurately Clustering Single-cell RNA-seq data by Capturing Structural Relations between Cells through Graph Convolutional Network. BIBM Yuansong Zeng, Xiang Zhou, Jiahua Rao, Yutong Lu, Yuedong Yang
2020	J	`jnl`	Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural Networks. J. Chem. Inf. Model. Shuangjia Zheng, Jiahua Rao, Zhongyue Zhang, Jun Xu, Yuedong Yang
2019	J	`jnl`	Predicting Retrosynthetic Reaction using Self-Corrected Transformer Neural Networks. CoRR Shuangjia Zheng, Jiahua Rao, Zhongyue Zhang, Jun Xu, Yuedong Yang