Hui Liu - RankMe

50 papers A* 2Journal 42Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A unified cross-attention model for predicting antigen binding specificity to both HLA and TCR molecules. Nat. Mac. Intell. Chenpeng Yu, Xing Fang, Shiye Tian, Hui Liu
2025	J	`jnl`	HCoVDB: a comprehensive database encompassing viral genomes, drug targets, and therapeutics of human coronaviruses. Database J. Biol. Databases Curation Pan Zhang, Tianxiang Ouyang, Xiaowen Hu, Jie Huang, Biao Xiao, Zhijian Huang, Xingyang Shi, Xinyi Wu, Linying Chen, Yongkang Wu, Hanyue Wang, Ying Zhang, Guangdi Li, Hui Liu, Lei Deng
2025	A*	`conf`	Learning Cross-Domain Representations for Transferable Drug Perturbations on Single-Cell Transcriptional Responses. AAAI Hui Liu, Shikai Jin
2025	J	`jnl`	Predicting Single-Cell Drug Sensitivity Utilizing Adaptive Weighted Features for Multi-Source Domain Adaptation. IEEE J. Biomed. Health Informatics Hui Liu, Wei Duan, Judong Luo
2025	J	`jnl`	RSSL: A Unified Reliability-Aware Semi-Supervised Learning Framework for Medical Image Classification. IEEE Trans. Emerg. Top. Comput. Intell. Wenlong Hang, Yecheng Huang, Shuang Liang, Yuan Wu, Hui Liu, Qiong Wang, Ping Liu, Baiying Lei, Harry Qin
2024	J	`jnl`	A large language model for predicting T cell receptor-antigen binding specificity. CoRR Xing Fang, Chenpeng Yu, Shiye Tian, Hui Liu
2024	J	`jnl`	Contrastive learning-based histopathological features infer molecular subtypes and clinical outcomes of breast cancer from unannotated whole slide images. Comput. Biol. Medicine Hui Liu, Yang Zhang, Judong Luo
2024	J	`jnl`	Cross-Domain Feature Disentanglement for Interpretable Modeling of Tumor Microenvironment Impact on Drug Response. IEEE J. Biomed. Health Informatics Jia Zhai, Hui Liu
2024	J	`jnl`	Learning Cross-Domain Representations for Transferable Drug Perturbations on Single-Cell Transcriptional Responses. CoRR Hui Liu, Shikai Jin
2024	J	`jnl`	Predicting single-cell cellular responses to perturbations using cycle consistency learning. Bioinform. Wei Huang, Hui Liu
2024	J	`jnl`	Prediction of Tumor-Associated Macrophages and Immunotherapy Benefits Using Weakly Supervised Contrastive Learning in Breast Cancer Pathology Images. J. Imaging Inform. Medicine Guobang Yu, Yi Zuo, Bin Wang, Hui Liu
2024	A*	`conf`	TVPR: Text-to-Video Person Retrieval and a New Benchmark. ACM Multimedia Xu Zhang, Fan Ni, Guannan Dong, Aichun Zhu, Jianhui Wu, Mingcheng Ni, Hui Liu
2023	J	`jnl`	Interpretable Modeling of Single-cell perturbation Responses to Novel Drugs Using Cycle Consistence Learning. CoRR Wei Huang, Aichun Zhu, Hui Liu
2023	J	`jnl`	TVPR: Text-to-Video Person Retrieval and a New Benchmark. CoRR Fan Ni, Xu Zhang, Jianhui Wu, Guannan Dong, Aichun Zhu, Hui Liu, Yue Zhang
2022	J	`jnl`	Attention-wise masked graph contrastive learning for predicting molecular property. Briefings Bioinform. Hui Liu, Yibiao Huang, Xuejun Liu, Lei Deng
2022	J	`jnl`	Attention-wise masked graph contrastive learning for predicting molecular property. CoRR Hui Liu, Yibiao Huang, Xuejun Liu, Lei Deng
2022	J	`jnl`	Contrastive learning-based computational histopathology predict differential expression of cancer driver genes. Briefings Bioinform. Haojie Huang, Gongming Zhou, Xuejun Liu, Lei Deng, Chen Wu, Dachuan Zhang, Hui Liu
2022	J	`jnl`	Contrastive learning-based computational histopathology predict differential expression of cancer driver genes. CoRR Haojie Huang, Gongming Zhou, Xuejun Liu, Lei Deng, Chen Wu, Dachuan Zhang, Hui Liu
2022	J	`jnl`	DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations. Briefings Bioinform. Jinxian Wang, Xuejun Liu, Siyuan Shen, Lei Deng, Hui Liu
2022	J	`jnl`	Dual-Channel Heterogeneous Graph Neural Network for Predicting microRNA-Mediated Drug Sensitivity. J. Chem. Inf. Model. Lei Deng, Ziyu Fan, Xiaojun Xiao, Hui Liu, Jiaxuan Zhang
2022	J	`jnl`	Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associations. Bioinform. Lei Deng, Yibiao Huang, Xuejun Liu, Hui Liu
2022	J	`jnl`	MSPCD: predicting circRNA-disease associations via integrating multi-source data and hierarchical neural network. BMC Bioinform. Lei Deng, Dayun Liu, Yizhan Li, Runqi Wang, Junyi Liu, Jiaxuan Zhang, Hui Liu
2022	J	`jnl`	SynLethDB 2.0: a web-based knowledge graph database on synthetic lethality for novel anticancer drug discovery. Database J. Biol. Databases Curation Jie Wang, Min Wu, Xuhui Huang, Li Wang, Sophia Zhang, Hui Liu, Jie Zheng
2021	—	`conf`	A multi-task graph convolutional network modeling of drug-drug interactions and synergistic efficacy. BIBM Yuanyuan Deng, Song Yu, Lei Deng, Hui Liu, Xuejun Liu, Yi Luo
2021	J	`jnl`	DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations. CoRR Jinxian Wang, Xuejun Liu, Siyuan Shen, Lei Deng, Hui Liu
2021	J	`jnl`	Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associations. CoRR Lei Deng, Yibiao Huang, Xuejun Liu, Hui Liu
2020	J	`jnl`	DrugCombDB: a comprehensive database of drug combinations toward the discovery of combinatorial therapy. Nucleic Acids Res. Hui Liu, Wenhao Zhang, Bo Zou, Jinxian Wang, Yuanyuan Deng, Lei Deng
2020	J	`jnl`	HNet-DNN: Inferring New Drug-Disease Associations with Deep Neural Network Based on Heterogeneous Network Features. J. Chem. Inf. Model. Hui Liu, Wenhao Zhang, Yinglong Song, Lei Deng, Shuigeng Zhou
2020	J	`jnl`	Pathway-Guided Deep Neural Network toward Interpretable and Predictive Modeling of Drug Sensitivity. J. Chem. Inf. Model. Lei Deng, Yideng Cai, Wenhao Zhang, Wenyi Yang, Bo Gao, Hui Liu
2020	—	`conf`	Predicting circRNA-disease associations using meta path-based representation learning on heterogenous network. BIBM Lei Deng, Jing Yang, Hui Liu
2019	—	`conf`	A deep neural network approach using distributed representations of RNA sequence and structure for identifying binding site of RNA-binding proteins. BIBM Lei Deng, Youzhi Liu, Yechuan Shi, Hui Liu
2019	—	`conf`	D2VCB: A Hybrid Deep Neural Network for the Prediction of in-vivo Protein-DNA Binding from Combined DNA Sequence. BIBM Lei Deng, Hui Wu, Hui Liu
2019	J	`jnl`	MADOKA: an ultra-fast approach for large-scale protein structure similarity searching. BMC Bioinform. Lei Deng, Guolun Zhong, Chenzhe Liu, Judong Luo, Hui Liu
2019	J	`jnl`	Predicting effective drug combinations using gradient tree boosting based on features extracted from drug-protein heterogeneous network. BMC Bioinform. Hui Liu, Wenhao Zhang, Lixia Nie, Xiancheng Ding, Judong Luo, Ling Zou
2018	J	`jnl`	Effectively Identifying Compound-Protein Interactions by Learning from Positive and Unlabeled Examples. IEEE ACM Trans. Comput. Biol. Bioinform. Zhanzhan Cheng, Shuigeng Zhou, Yang Wang, Hui Liu, Jihong Guan, Yi-Ping Phoebe Chen
2018	J	`jnl`	PDRLGB: precise DNA-binding residue prediction using a light gradient boosting machine. BMC Bioinform. Lei Deng, Juan Pan, Xiaojie Xu, Wenyi Yang, Chuyao Liu, Hui Liu
2018	—	`conf`	XPredRBR: Accurate and Fast Prediction of RNA-Binding Residues in Proteins Using eXtreme Gradient Boosting. ISBRA Lei Deng, Zuojin Dong, Hui Liu
2017	J	`jnl`	A new hybrid method for learning bayesian networks: Separation and reunion. Knowl. Based Syst. Hui Liu, Shuigeng Zhou, Wai Lam, Jihong Guan
2017	J	`jnl`	Selecting high-quality negative samples for effectively predicting protein-RNA interactions. BMC Syst. Biol. Zhanzhan Cheng, Kai Huang, Yang Wang, Hui Liu, Jihong Guan, Shuigeng Zhou
2016	J	`jnl`	Generalized logical model based on network topology to capture the dynamical trends of cellular signaling pathways. BMC Syst. Biol. Fan Zhang, Haoting Chen, Li Na Zhao, Hui Liu, Teresa M. Przytycka, Jie Zheng
2016	J	`jnl`	Inferring new indications for approved drugs via random walk on drug-disease heterogenous networks. BMC Bioinform. Hui Liu, Yinglong Song, Jihong Guan, Libo Luo, Ziheng Zhuang
2016	J	`jnl`	Screening lifespan-extending drugs in Caenorhabditis elegans via label propagation on drug-protein networks. BMC Syst. Biol. Hui Liu, Mengmeng Guo, Ting Xue, Jihong Guan, Libo Luo, Ziheng Zhuang
2016	J	`jnl`	SynLethDB: synthetic lethality database toward discovery of selective and sensitive anticancer drug targets. Nucleic Acids Res. Jing Guo, Hui Liu, Jie Zheng
2015	J	`jnl`	Improving compound-protein interaction prediction by building up highly credible negative samples. Bioinform. Hui Liu, Jianjiang Sun, Jihong Guan, Jie Zheng, Shuigeng Zhou
2014	J	`jnl`	A comparative evaluation on prediction methods of nucleosome positioning. Briefings Bioinform. Hui Liu, Ruichang Zhang, Wei Xiong, Jihong Guan, Ziheng Zhuang, Shuigeng Zhou
2014	J	`jnl`	The centrality of cancer proteins in human protein-protein interaction network: a revisit. Int. J. Comput. Biol. Drug Des. Wei Xiong, Luyu Xie, Shuigeng Zhou, Hui Liu, Jihong Guan
2013	J	`jnl`	Identifying Mammalian MicroRNA Targets Based on Supervised Distance Metric Learning. IEEE J. Biomed. Health Informatics Hui Liu, Shuigeng Zhou, Jihong Guan
2013	J	`jnl`	Protein function prediction by collective classification with explicit and implicit edges in protein-protein interaction networks. BMC Bioinform. Wei Xiong, Hui Liu, Jihong Guan, Shuigeng Zhou
2012	—	`conf`	Effectively predicting protein functions by collective classification - An extended abstract. BIBM Workshops Wei Xiong, Hui Liu, Jihong Guan, Shuigeng Zhou
2010	J	`jnl`	Detecting microarray data supported microRNA-mRNA interactions. Int. J. Data Min. Bioinform. Hui Liu, Shuigeng Zhou, Jihong Guan