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ORCIDJianmin Wang 0016
Person information
- affiliation: Hunan University, School of Computer Science and Engineering, Changsha, China
- affiliation: Yonsei University, Department of Integrative Biotechnology, Integrative Biotechnology & Translational Medicine, Korea
Other persons with the same name
- Jianmin Wang (aka: Jian-Min Wang) — disambiguation page
- Jianmin Wang 0001
![[0000-0001-6841-7943]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6841-7943")
(aka: Jian-min Wang 0001) — Tsinghua University, School of Software, Beijing, China - Jianmin Wang 0003 — Suzhou University, Department of Mathematics, China
- Jianmin Wang 0004 — Harbin University of Science and Technology, China
- Jianmin Wang 0005 — Shandong University, China
- Jianmin Wang 0006 — Zhongsang University, Guangzhou, China
- Jianmin Wang 0007 — Hunan University of Commerce, Changsha, China
- Jianmin Wang 0008 — Iowa State University, Ames, Iowa, USA
- Jianmin Wang 0009 — Xiamen University, China
- Jianmin Wang 0010 — Beijing Normal University, State Key Laboratory of Earth Surface Processes and Resource Ecology, China
- Jianmin Wang 0011 — National Formosa University, Department of Vehicle Engineering, Yunlin, Taiwan
- Jianmin Wang 0012 — Hefei University of Technology, Hefei, China
- Jianmin Wang 0013 (aka: Jian-Min Wang 0013) — Tongji University, Car Interaction Design Lab, College of Arts and Media, Shanghai, China (and 1 more)
- Jianmin Wang 0014 — Roswell Park Cancer Institute, Buffalo, NY, USA
- Jianmin Wang 0015 — Chinese Academy of Sciences, Technology and Engineering Center for Space Utilization, Beijing, China
- Jianmin Wang 0017 (aka: Jian-Min Wang 0017) — Chinese Culture University, Department of Information Management, Taipei, Taiwan
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2020 – today
- 2024
[j15]Likun Jiang, Susu Qu, Zhengqiu Yu, Jianmin Wang, Xiangrong Liu:
MOASL: Predicting drug mechanism of actions through similarity learning with transcriptomic signature. Comput. Biol. Medicine 169: 107853 (2024)- [j14]Meng Wang, Jianmin Wang, Zhiwei Rong, Liuying Wang, Zhenyi Xu, Liuchao Zhang, Jia He, Shuang Li, Lei Cao, Yan Hou, Kang Li:
A bidirectional interpretable compound-protein interaction prediction framework based on cross attention. Comput. Biol. Medicine 172: 108239 (2024) - [j13]Weichen Bo, Yangqin Duan, Yurong Zou, Ziyan Ma, Tao Yang, Peng Wang, Tao Guo, Zhiyuan Fu, Jianmin Wang, Linchuan Fan, Jie liu, Taijin Wang, Lijuan Chen:
Local Scaffold Diversity-Contributed Generator for Discovering Potential NLRP3 Inhibitors. J. Chem. Inf. Model. 64(3): 737-748 (2024) - [j12]Jiashun Mao, Jianmin Wang, Amir Zeb, Kwang-Hwi Cho, Haiyan Jin, Jongwan Kim, Onju Lee, Yunyun Wang, Kyoung Tai No:
Transformer-Based Molecular Generative Model for Antiviral Drug Design. J. Chem. Inf. Model. 64(7): 2733-2745 (2024) - [j11]Shuang Wang, Dingming Liang, Jianmin Wang, Kaiyu Dong, Yunjing Zhang, Huicong Liang, Ximing Xu, Tao Song:
FraHMT: A Fragment-Oriented Heterogeneous Graph Molecular Generation Model for Target Proteins. J. Chem. Inf. Model. 64(9): 3718-3732 (2024) - [j10]Chunyan Li, Junfeng Yao, Wei Wei, Zhangming Niu, Xiangxiang Zeng, Jin Li, Jianmin Wang:
Geometry-Based Molecular Generation With Deep Constrained Variational Autoencoder. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4852-4861 (2024) - [c1]Hongxin Xiang, Shuting Jin, Jun Xia, Man Zhou, Jianmin Wang, Li Zeng, Xiangxiang Zeng:
An Image-enhanced Molecular Graph Representation Learning Framework. IJCAI 2024: 6107-6115 - [i1]Peng Zhou, Jianmin Wang, Chunyan Li, Zixu Wang, Yiping Liu, Siqi Sun, Jianxin Lin, Longyue Wang, Xiangxiang Zeng:
Instruction Multi-Constraint Molecular Generation Using a Teacher-Student Large Language Model. CoRR abs/2403.13244 (2024) - 2023
- [j9]Yangyang Chen, Zixu Wang, Lei Wang, Jianmin Wang, Pengyong Li, Dongsheng Cao, Xiangxiang Zeng, Xiucai Ye, Tetsuya Sakurai:
Deep generative model for drug design from protein target sequence. J. Cheminformatics 15(1): 38 (2023) - [j8]Heqi Sun, Jianmin Wang, Hongyan Wu, Shenggeng Lin, Junwei Chen, Jinghua Wei, Shuai Lv, Yi Xiong, Dong-Qing Wei:
A Multimodal Deep Learning Framework for Predicting PPI-Modulator Interactions. J. Chem. Inf. Model. 63(23): 7363-7372 (2023) - 2022
- [j7]Jianmin Wang, Yanyi Chu, Jiashun Mao, Hyeon-Nae Jeon, Haiyan Jin, Amir Zeb, Yuil Jang, Kwang-Hwi Cho, Tao Song, Kyoung Tai No:
De novo molecular design with deep molecular generative models for PPI inhibitors. Briefings Bioinform. 23(4) (2022) - [j6]Xudong Zhang, Gan Wang, Xiangyu Meng, Shuang Wang, Ying Zhang, Alfonso Rodríguez-Patón, Jianmin Wang, Xun Wang:
Molormer: a lightweight self-attention-based method focused on spatial structure of molecular graph for drug-drug interactions prediction. Briefings Bioinform. 23(5) (2022) - [j5]Yanyi Chu, Yan Zhang, Qiankun Wang, Lingfeng Zhang, Xuhong Wang, Yanjing Wang, Dennis Russell Salahub, Qin Xu, Jianmin Wang, Xue Jiang, Yi Xiong, Dong-Qing Wei:
A transformer-based model to predict peptide-HLA class I binding and optimize mutated peptides for vaccine design. Nat. Mach. Intell. 4(3): 300-311 (2022) - [j4]Xiangxiang Zeng, Hongxin Xiang, Linhui Yu, Jianmin Wang, Kenli Li, Ruth Nussinov, Feixiong Cheng:
Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework. Nat. Mac. Intell. 4(11): 1004-1016 (2022) - 2021
- [j3]Chunyan Li, Jianmin Wang, Zhangming Niu, Junfeng Yao, Xiangxiang Zeng:
A spatial-temporal gated attention module for molecular property prediction based on molecular geometry. Briefings Bioinform. 22(5) (2021) - [j2]Yujie Chen, Tengfei Ma, Xixi Yang, Jianmin Wang, Bosheng Song, Xiangxiang Zeng:
MUFFIN: multi-scale feature fusion for drug-drug interaction prediction. Bioinform. 37(17): 2651-2658 (2021) - 2020
- [j1]Shanchen Pang, Fan Meng, Xun Wang, Jianmin Wang, Tao Song, Xingguang Wang, Xiaochun Cheng:
VGG16-T: A Novel Deep Convolutional Neural Network with Boosting to Identify Pathological Type of Lung Cancer in Early Stage by CT Images. Int. J. Comput. Intell. Syst. 13(1): 771-780 (2020)
Coauthor Index
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last updated on 2024-10-18 20:26 CEST by the dblp team
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