Jianmin Wang

35 papers A* 3Journal 30Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Disentangled molecular representation learning with context-aware codebook for OOD generalization.
Knowl. Based Syst.
Chunyan Li, Shaojie Qiao, Guifei Zhou, Jianmin Wang
2026 J jnl
ImageDDI: Image-enhanced molecular motif sequence representation for drug-drug interaction prediction.
Inf. Fusion
Yuqin He, Tengfei Ma, Chaoyi Li, Pengsen Ma, Hongxin Xiang, Jianmin Wang, Yiping Liu, Bosheng Song, Xiangxiang Zeng
2026 J jnl
Molecular graph-based invariant representation learning with environmental inference and subgraph generation for out-of-distribution generalization.
J. Cheminformatics
Hang Zhu, Sisi Yuan, Mingjing Tang, Guifei Zhou, Zhanxuan Hu, Zhaoyang Liu, Jin Li, Jianmin Wang, Chunyan Li
2026 J jnl
Prototype learning with structural-semantic alignment for interpretable molecular relational learning.
Knowl. Based Syst.
Peiliang Zhang, Jingling Yuan, Jianmin Wang, Yongjun Zhu, Lin Li
2025 J jnl
An image-based protein-ligand binding representation learning framework via multi-level flexible dynamics trajectory pre-training.
Bioinform.
Hongxin Xiang, Mingquan Liu, Linlin Hou, Shuting Jin, Jianmin Wang, Jun Xia, Wenjie Du, Sisi Yuan, Xiangzheng Fu, Xinyu Yang, Li Zeng, Lei Xu
2025 A* conf
DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models.
IJCAI
Zhuo Chen, Jiahui Zhang, Sihan Wang, Hongxin Xiang, Jianmin Wang, Wenjie Du, Yang Wang
2025 J jnl
DiffMeta-RL: Reinforcement Learning-Guided Graph Diffusion for Metabolically Stable Molecular Generation.
J. Chem. Inf. Model.
Dayan Liu, Tao Song, Shuang Wang, Xue Li, Peifu Han, Gehang Ju, Jianmin Wang, Shudong Wang
2025 J jnl
Efficient Generation of Protein and Protein-Protein Complex Dynamics via SE(3)-Parameterized Diffusion Models.
J. Chem. Inf. Model.
Kai Xu, Jianmin Wang, Mingquan Liu, Kewei Zhou, Shaolong Lin, Weihong Li, Lin Shi, Peng Zhou, Huanxiang Liu, Xiaojun Yao
2025 J jnl
Image-based generation for molecule design with SketchMol.
Nat. Mac. Intell.
Zixu Wang, Yangyang Chen, Pengsen Ma, Zhou Yu, Jianmin Wang, Yuansheng Liu, Xiucai Ye, Tetsuya Sakurai, Xiangxiang Zeng
2025 J jnl
ImageDDI: Image-enhanced Molecular Motif Sequence Representation for Drug-Drug Interaction Prediction.
CoRR
Yuqin He, Tengfei Ma, Chaoyi Li, Pengsen Ma, Hongxin Xiang, Jianmin Wang, Yiping Liu, Bosheng Song, Xiangxiang Zeng
2025 — conf
Large Language and Protein Assistant for Protein-Protein Interactions Prediction.
ACL (1)
Peng Zhou, Pengsen Ma, Jianmin Wang, Xibao Cai, Haitao Huang, Wei Liu, Longyue Wang, Lai Hou Tim, Xiangxiang Zeng
2025 A* conf
MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction.
IJCAI
Xuqiang Li, Wenjie Du, Jun Xia, Jianmin Wang, Xiaoqi Wang, Yang Yang, Yang Wang
2025 J jnl
Molecular Dynamics-Powered Hierarchical Geometric Deep Learning Framework for Protein-Ligand Interaction.
IEEE Trans. Comput. Biol. Bioinform.
Mingquan Liu, Shuting Jin, Houtim Lai, Longyue Wang, Jianmin Wang, Zhixiang Cheng, Xiangxiang Zeng
2025 J jnl
Predicting Mutation-Disease Associations Through Protein Interactions Via Deep Learning.
IEEE J. Biomed. Health Informatics
Xue Li, Ben Cao, Jianmin Wang, Xiangyu Meng, Shuang Wang, Yu Huang, Enrico Petretto, Tao Song
2025 J jnl
Self-supervised learning in drug discovery.
Sci. China Inf. Sci.
Yangyang Chen, Zixu Wang, Jianmin Wang, Yanyi Chu, Qingpeng Zhang, Zhong Alan Li, Xiangxiang Zeng
2025 J jnl
TRGH-PPI: Effective and Generalized Prediction of Protein-Protein Interactions Through Transformer and Graph.
IEEE Trans. Comput. Biol. Bioinform.
Sihan Wang, Shuai Zhang, Zhuo Chen, Xuqiang Li, Jianmin Wang, Wenjie Du, Yang Wang
2024 J jnl
A bidirectional interpretable compound-protein interaction prediction framework based on cross attention.
Comput. Biol. Medicine
Meng Wang, Jianmin Wang, Zhiwei Rong, Liuying Wang, Zhenyi Xu, Liuchao Zhang, Jia He, Shuang Li, Lei Cao, Yan Hou, Kang Li
2024 A* conf
An Image-enhanced Molecular Graph Representation Learning Framework.
IJCAI
Hongxin Xiang, Shuting Jin, Jun Xia, Man Zhou, Jianmin Wang, Li Zeng, Xiangxiang Zeng
2024 J jnl
FraHMT: A Fragment-Oriented Heterogeneous Graph Molecular Generation Model for Target Proteins.
J. Chem. Inf. Model.
Shuang Wang, Dingming Liang, Jianmin Wang, Kaiyu Dong, Yunjing Zhang, Huicong Liang, Ximing Xu, Tao Song
2024 J jnl
Geometry-Based Molecular Generation With Deep Constrained Variational Autoencoder.
IEEE Trans. Neural Networks Learn. Syst.
Chunyan Li, Junfeng Yao, Wei Wei, Zhangming Niu, Xiangxiang Zeng, Jin Li, Jianmin Wang
2024 J jnl
Instruction Multi-Constraint Molecular Generation Using a Teacher-Student Large Language Model.
CoRR
Peng Zhou, Jianmin Wang, Chunyan Li, Zixu Wang, Yiping Liu, Siqi Sun, Jianxin Lin, Longyue Wang, Xiangxiang Zeng
2024 J jnl
Interface-aware molecular generative framework for protein-protein interaction modulators.
J. Cheminformatics
Jianmin Wang, Jiashun Mao, Chunyan Li, Hongxin Xiang, Xun Wang, Shuang Wang, Zixu Wang, Yangyang Chen, Yuquan Li, Kyoung Tai No, Tao Song, Xiangxiang Zeng
2024 J jnl
Introducing enzymatic cleavage features and transfer learning realizes accurate peptide half-life prediction across species and organs.
Briefings Bioinform.
Xiaorong Tan, Qianhui Liu, Yanpeng Fang, Sen Yang, Fei Chen, Jianmin Wang, Defang Ouyang, Jie Dong, Wenbin Zeng
2024 J jnl
Local Scaffold Diversity-Contributed Generator for Discovering Potential NLRP3 Inhibitors.
J. Chem. Inf. Model.
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
2024 — conf
Logical Rules Enhanced Multimodal Reasoning Based on Biomedical Knowledge Graph.
BIBM
Peifu Han, Tao Song, Jianmin Wang
2024 J jnl
MOASL: Predicting drug mechanism of actions through similarity learning with transcriptomic signature.
Comput. Biol. Medicine
Likun Jiang, Susu Qu, Zhengqiu Yu, Jianmin Wang, Xiangrong Liu
2024 J jnl
Transformer-Based Molecular Generative Model for Antiviral Drug Design.
J. Chem. Inf. Model.
Jiashun Mao, Jianmin Wang, Amir Zeb, Kwang-Hwi Cho, Haiyan Jin, Jongwan Kim, Onju Lee, Yunyun Wang, Kyoung Tai No
2023 J jnl
A Multimodal Deep Learning Framework for Predicting PPI-Modulator Interactions.
J. Chem. Inf. Model.
Heqi Sun, Jianmin Wang, Hongyan Wu, Shenggeng Lin, Junwei Chen, Jinghua Wei, Shuai Lv, Yi Xiong, Dong-Qing Wei
2023 J jnl
Deep generative model for drug design from protein target sequence.
J. Cheminformatics
Yangyang Chen, Zixu Wang, Lei Wang, Jianmin Wang, Pengyong Li, Dongsheng Cao, Xiangxiang Zeng, Xiucai Ye, Tetsuya Sakurai
2022 J jnl
A transformer-based model to predict peptide-HLA class I binding and optimize mutated peptides for vaccine design.
Nat. Mach. Intell.
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
2022 J jnl
Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework.
Nat. Mac. Intell.
Xiangxiang Zeng, Hongxin Xiang, Linhui Yu, Jianmin Wang, Kenli Li, Ruth Nussinov, Feixiong Cheng
2022 J jnl
Molormer: a lightweight self-attention-based method focused on spatial structure of molecular graph for drug-drug interactions prediction.
Briefings Bioinform.
Xudong Zhang, Gan Wang, Xiangyu Meng, Shuang Wang, Ying Zhang, Alfonso Rodríguez-Patón, Jianmin Wang, Xun Wang
2021 J jnl
A spatial-temporal gated attention module for molecular property prediction based on molecular geometry.
Briefings Bioinform.
Chunyan Li, Jianmin Wang, Zhangming Niu, Junfeng Yao, Xiangxiang Zeng
2021 J jnl
MUFFIN: multi-scale feature fusion for drug-drug interaction prediction.
Bioinform.
Yujie Chen, Tengfei Ma, Xixi Yang, Jianmin Wang, Bosheng Song, Xiangxiang Zeng
2020 J jnl
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.
Shanchen Pang, Fan Meng, Xun Wang, Jianmin Wang, Tao Song, Xingguang Wang, Xiaochun Cheng