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Jianyu Shi
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2020 – today
- 2024
- [j28]Hui Yu, Wen-Xin Xu, Tian Tan, Zun Liu, Jian-Yu Shi:
Prediction of drug-target binding affinity based on multi-scale feature fusion. Comput. Biol. Medicine 178: 108699 (2024) - [j27]Hui Yu, Jing Wang, Shi-Yu Zhao, Omayo Silver, Zun Liu, JingTao Yao, Jian-Yu Shi:
GGI-DDI: Identification for key molecular substructures by granule learning to interpret predicted drug-drug interactions. Expert Syst. Appl. 240: 122500 (2024) - [j26]Hui Yu, Hui-Xiang Bian, Zi-Ling Chong, Zun Liu, Jian-Yu Shi:
Multi-view clustering with semantic fusion and contrastive learning. Neurocomputing 603: 128264 (2024) - [j25]Ning-Ning Wang, Bei Zhu, Xin-Liang Li, Shao Liu, Jian-Yu Shi, Dong-Sheng Cao:
Comprehensive Review of Drug-Drug Interaction Prediction Based on Machine Learning: Current Status, Challenges, and Opportunities. J. Chem. Inf. Model. 64(1): 96-109 (2024) - [j24]Hui Yu, Jing Wang, Chao Song, Jian-Yu Shi:
Identifying the reaction centers of molecule based on dual-view representation. Knowl. Based Syst. 292: 111606 (2024) - 2023
- [j23]Yue-Hua Feng, Shao-Wu Zhang, Yi-Yang Feng, Qing-Qing Zhang, Ming-Hui Shi, Jian-Yu Shi:
A social theory-enhanced graph representation learning framework for multitask prediction of drug-drug interactions. Briefings Bioinform. 24(1) (2023) - [j22]Xuan Lin, Lichang Dai, Yafang Zhou, Zu-Guo Yu, Wen Zhang, Jian-Yu Shi, Dong-Sheng Cao, Li Zeng, Haowen Chen, Bosheng Song, Philip S. Yu, Xiangxiang Zeng:
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction. Briefings Bioinform. 24(4) (2023) - [j21]Hui Yu, Kangkang Li, Wenmin Dong, Shuanghong Song, Chen Gao, Jianyu Shi:
Attention-based cross domain graph neural network for prediction of drug-drug interactions. Briefings Bioinform. 24(4) (2023) - [j20]Bing-Xue Du, Yahui Long, Xiaoli Li, Min Wu, Jian-Yu Shi:
CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learning. Bioinform. 39(8) (2023) - [j19]Jia-Ning Li, Guang Yang, Peng-Cheng Zhao, Xue-Xin Wei, Jian-Yu Shi:
CProMG: controllable protein-oriented molecule generation with desired binding affinity and drug-like properties. Bioinform. 39(Supplement-1): 326-336 (2023) - [j18]Qing-Qing Zhang, Shaowu Zhang, Yue-Hua Feng, Jian-Yu Shi:
Few-Shot Drug Synergy Prediction With a Prior-Guided Hypernetwork Architecture. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9709-9725 (2023) - [j17]Hui Yu, KangKang Li, Jianyu Shi:
DGANDDI: Double Generative Adversarial Networks for Drug-Drug Interaction Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 1854-1863 (2023) - [c17]Bing-Xue Du, Haoyang Yu, Bei Zhu, Yahui Long, Min Wu, Jian-Yu Shi:
GELKcat: An Integration Learning of Substrate Graph with Enzyme Embedding for Kcat prediction. BIBM 2023: 408-411 - [c16]Bing-Xue Du, Yi Xu, Siu-Ming Yiu, Hui Yu, Jian-Yu Shi:
MTGL-ADMET: A Novel Multi-task Graph Learning Framework for ADMET Prediction Enhanced by Status-Theory and Maximum Flow. RECOMB 2023: 85-103 - [c15]Peizhong Gao, Tanhao Gao, Yanbin Yang, Zhenyuan Liu, Jianyu Shi, Jin Li:
Bamboo Agents: Exploring the Potentiality of Digital Craft by Decoding and Recoding Process. TEI 2023: 15:1-15:13 - [i3]Xuan Lin, Lichang Dai, Yafang Zhou, Zu-Guo Yu, Wen Zhang, Jian-Yu Shi, Dong-Sheng Cao, Li Zeng, Haowen Chen, Bosheng Song, Philip S. Yu, Xiangxiang Zeng:
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction. CoRR abs/2306.05257 (2023) - [i2]Guoxing Yang, Jianyu Shi, Zan Wang, Xiaohong Liu, Guangyu Wang:
TCM-GPT: Efficient Pre-training of Large Language Models for Domain Adaptation in Traditional Chinese Medicine. CoRR abs/2311.01786 (2023) - 2022
- [j16]Arnold K. Nyamabo, Hui Yu, Zun Liu, Jian-Yu Shi:
Drug-drug interaction prediction with learnable size-adaptive molecular substructures. Briefings Bioinform. 23(1) (2022) - [j15]Yi-Yang Feng, Hui Yu, Yue-Hua Feng, Jian-Yu Shi:
Directed graph attention networks for predicting asymmetric drug-drug interactions. Briefings Bioinform. 23(3) (2022) - [j14]Hui Yu, Shiyu Zhao, Jianyu Shi:
STNN-DDI: a Substructure-aware Tensor Neural Network to predict Drug-Drug Interactions. Briefings Bioinform. 23(4) (2022) - [j13]Zun Liu, Xing-Nan Wang, Hui Yu, Jian-Yu Shi, Wenmin Dong:
Predict multi-type drug-drug interactions in cold start scenario. BMC Bioinform. 23(1): 75 (2022) - [j12]Hui Yu, Wenmin Dong, Jianyu Shi:
RANEDDI: Relation-aware network embedding for drug-drug interaction prediction. Inf. Sci. 582: 167-180 (2022) - [c14]Jianyu Shi, Xiaohong Liu, Guoxing Yang, Guangyu Wang:
Enhanced CT Image Generation by GAN for Improving Thyroid Anatomy Detection. BIBM 2022: 1714-1717 - [c13]Guoxing Yang, Xiaohong Liu, Jianyu Shi, Xianchao Zhang, Guangyu Wang:
AIAT: Adaptive Iteration Adversarial Training for Robust Pulmonary Nodule Detection. BIBM 2022: 2157-2161 - 2021
- [j11]Arnold K. Nyamabo, Hui Yu, Jian-Yu Shi:
SSI-DDI: substructure-substructure interactions for drug-drug interaction prediction. Briefings Bioinform. 22(6) (2021) - [j10]Xiao-Ying Yan, Shaowu Zhang, Siu-Ming Yiu, Jian-Yu Shi:
Interpretable prediction of drug-cell line response by triple matrix factorization. Quant. Biol. 9(4): 426-439 (2021) - [i1]Hui Yu, Shiyu Zhao, Jianyu Shi:
STNN-DDI: A Substructure-aware Tensor Neural Network to Predict Drug-Drug Interactions. CoRR abs/2111.05708 (2021) - 2020
- [j9]Yue-Hua Feng, Shaowu Zhang, Jian-Yu Shi:
DPDDI: a deep predictor for drug-drug interactions. BMC Bioinform. 21(1): 419 (2020)
2010 – 2019
- 2019
- [j8]Jian-Yu Shi, Jia-Xin Li, Kui-Tao Mao, Jiang-Bo Cao, Peng Lei, Hui-Meng Lu, Siu-Ming Yiu:
Predicting combinative drug pairs via multiple classifier system with positive samples only. Comput. Methods Programs Biomed. 168: 1-10 (2019) - [j7]Jian-Yu Shi, Kui-Tao Mao, Hui Yu, Siu-Ming Yiu:
Detecting drug communities and predicting comprehensive drug-drug interactions via balance regularized semi-nonnegative matrix factorization. J. Cheminformatics 11(1): 28:1-28:16 (2019) - 2018
- [j6]Jianyu Shi, Hua Huang, Yan-Ning Zhang, Jiang-Bo Cao, Siu-Ming Yiu:
BMCMDA: a novel model for predicting human microbe-disease associations via binary matrix completion. BMC Bioinform. 19-S(9): 169-176 (2018) - [j5]Jian-Yu Shi, Hua Huang, Jia-Xin Li, Peng Lei, Yan-Ning Zhang, Kai Dong, Siu-Ming Yiu:
TMFUF: a triple matrix factorization-based unified framework for predicting comprehensive drug-drug interactions of new drugs. BMC Bioinform. 19-S(14): 27-37 (2018) - [j4]Hui Yu, Kui-Tao Mao, Jian-Yu Shi, Hua Huang, Zhi Chen, Kai Dong, Siu-Ming Yiu:
Predicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization. BMC Syst. Biol. 12(1): 101-110 (2018) - 2017
- [j3]Jian-Yu Shi, Jia-Xin Li, Ke Gao, Peng Lei, Siu-Ming Yiu:
Predicting combinative drug pairs towards realistic screening via integrating heterogeneous features. BMC Bioinform. 18(S-12): 409:1-409:9 (2017) - [c12]Jianyu Shi, Hua Huang, Jia-Xin Li, Peng Lei, Yan-Ning Zhang, Siu-Ming Yiu:
Predicting Comprehensive Drug-Drug Interactions for New Drugs via Triple Matrix Factorization. IWBBIO (1) 2017: 108-117 - 2016
- [j2]Jianyu Shi, Jia-Xin Li, Hui-Meng Lu:
Predicting existing targets for new drugs base on strategies for missing interactions. BMC Bioinform. 17(S-8): 282 (2016) - [j1]Yong Zhang, Joseph Wun-Tat Chan, Francis Y. L. Chin, Hing-Fung Ting, Deshi Ye, Feng Zhang, Jianyu Shi:
Constrained pairwise and center-star sequences alignment problems. J. Comb. Optim. 32(1): 79-94 (2016) - [c11]Jianyu Shi, Ke Gao, Xue-Qun Shang, Siu-Ming Yiu:
LCM-DS: A novel approach of predicting drug-drug interactions for new drugs via Dempster-Shafer theory of evidence. BIBM 2016: 512-515 - [c10]Jian-Yu Shi:
The need of accelerators in analyzing biological networks. BIBM 2016: 1436 - 2015
- [c9]Jianyu Shi, Siu-Ming Yiu:
SRP: A concise non-parametric similarity-rank-based model for predicting drug-target interactions. BIBM 2015: 1636-1641 - [c8]Jianyu Shi, Jia-Xin Li, Hui-Meng Lu, Yong Zhang:
Predicting Drug-Target Interactions Between New Drugs and New Targets via Pairwise K-nearest Neighbor and Automatic Similarity Selection. IScIDE (2) 2015: 477-486 - 2014
- [c7]Jianyu Shi, Siu-Ming Yiu, Yiming Li, Henry C. M. Leung, Francis Y. L. Chin:
Predicting drug-target interaction for new drugs using enhanced similarity measures and super-target clustering1. BIBM 2014: 45-50 - [c6]Yong Zhang, Joseph Wun-Tat Chan, Francis Y. L. Chin, Hing-Fung Ting, Deshi Ye, Feng Zhang, Jianyu Shi:
On the Complexity of Constrained Sequences Alignment Problems. FAW 2014: 309-319 - 2010
- [c5]Sheryl Brahnam, Loris Nanni, Jian-Yu Shi, Alessandra Lumini:
Local Phase Quantization Texture Descriptor for Protein Classification. BIOCOMP 2010: 159-165
2000 – 2009
- 2009
- [c4]Jianyu Shi, Yan-Ning Zhang:
Fast SCOP Classification of Structural Class and Fold Using Secondary Structure Mining in Distance Matrix. PRIB 2009: 344-353 - 2008
- [c3]Yanning Zhang, Pei-Fang Zhai, Jianyu Shi, Jiangbin Zheng, Hong Zhou, Jiang-Bo Li:
A new system for computer-aided intraoperative simulation and postoperative facial appearance prediction of orthognathic surgery. MMSP 2008: 137-141 - 2007
- [c2]Jianyu Shi, Shao-Wu Zhang, Quan Pan, Yanning Zhang:
Using Decision Templates to Predict Subcellular Localization of Protein. PRIB 2007: 71-83 - 2006
- [c1]Jianyu Shi, Shao-Wu Zhang, Yan Liang, Quan Pan:
Prediction of Protein Subcellular Localizations Using Moment Descriptors and Support Vector Machine. PRIB 2006: 105-114
Coauthor Index
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last updated on 2024-10-07 21:13 CEST by the dblp team
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