Chunyan Li

According to our database, Chunyan Li authored at least 25 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Molecular graph-based invariant representation learning with environmental inference and subgraph generation for out-of-distribution generalization.

Hang Zhu, Sisi Yuan, Mingjing Tang, Guifei Zhou, Zhanxuan Hu, Zhaoyang Liu, Jin Li, Jianmin Wang, Chunyan Li

J. Cheminformatics, December, 2026

Disentangled molecular representation learning with context-aware codebook for OOD generalization.

Chunyan Li, Shaojie Qiao, Guifei Zhou, Jianmin Wang

Knowl. Based Syst., 2026

Contrastive prior enhances the performance of Bayesian neural network-based molecular property prediction.

Chaoyu Wen, Chunyan Li, Jin Li

Expert Syst. Appl., 2026

HIB-MSRL: Rethinking multi-scale representation learning: A hierarchical information bottleneck perspective.

Bingbing Hu, Zefeng Wang, Yong Yang, Junfeng Yao, Chunyan Li

Expert Syst. Appl., 2026

2025

TrustworthyCPI: Trustworthy Compound-Protein Interaction Prediction.

Chaoyu Wen, Li Cai, Chunyan Li, Jin Li

IEEE Trans. Comput. Biol. Bioinform., 2025

Adaptive symmetry-based adversarial perturbation augmentation for molecular graph representations with dual-fusion attention information.

Shuting Jin, Xiangrong Liu, Junlin Xu, Sisi Yuan, Hongxing Xiang, Lian Shen, Chunyan Li, Zhangming Niu, Yinhui Jiang

Inf. Fusion, 2025

Pretraining graph transformer for molecular representation with fusion of multimodal information.

Ruizhe Chen, Chunyan Li, Longyue Wang, Mingquan Liu, Shugao Chen, Jiahao Yang, Xiangxiang Zeng

Inf. Fusion, 2025

AI alignment is all your need for future drug discovery.

Chunyan Li

Frontiers Artif. Intell., 2025

SHREC 2025: Protein surface shape retrieval including electrostatic potential.

Taher Yacoub, Camille Depenveiller, Atsushi Tatsuma, Tin Barisin, Eugen Rusakov, Udo Göbel, Yuxu Peng, Shiqiang Deng, Yuki Kagaya, Joon Hong Park, Daisuke Kihara, Marco Guerra, Giorgio Palmieri, Andrea Ranieri, Ulderico Fugacci, Silvia Biasotti, Ruiwen He, Halim Benhabiles, Adnane Cabani, Karim Hammoudi, Haotian Li, Hao Huang, Chunyan Li, Alireza Tehrani, Fanwang Meng, Farnaz Heidar-Zadeh, Tuan-Anh Yang, Matthieu Montès

Comput. Graph., 2025

DGATGRN: A Directed Graph Attention Network Framework for Inferring Gene Regulatory Networks from scRNA-Seq Data.

Tong Zi, Mingjing Tang, Kui Jin, Yuxi Liu, Chunyan Li, Wei Gao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Interface-aware molecular generative framework for protein-protein interaction modulators.

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

J. Cheminformatics, December, 2024

Geometry-Based Molecular Generation With Deep Constrained Variational Autoencoder.

Chunyan Li, Junfeng Yao, Wei Wei, Zhangming Niu, Xiangxiang Zeng, Jin Li, Jianmin Wang

IEEE Trans. Neural Networks Learn. Syst., April, 2024

A review of IoT applications in healthcare.

Chunyan Li, Jiaji Wang, Shuihua Wang, Yudong Zhang

Neurocomputing, January, 2024

BBM: A novel beta-binomial-distribution-based biclustering algorithm for mining m6A co-methylation patterns.

Zhaoyang Liu, Yuteng Xiao, Honglei Wang, Chunyan Li, Hongsheng Yin

Expert Syst. Appl., 2024

Geometric deep learning for drug discovery.

Mingquan Liu, Chunyan Li, Ruizhe Chen, Dongsheng Cao, Xiangxiang Zeng

Expert Syst. Appl., 2024

Instruction Multi-Constraint Molecular Generation Using a Teacher-Student Large Language Model.

Peng Zhou, Jianmin Wang, Chunyan Li, Zixu Wang, Yiping Liu, Siqi Sun, Jianxin Lin, Longyue Wang, Xiangxiang Zeng

CoRR, 2024

Towards Cross-Modal Text-Molecule Retrieval with Better Modality Alignment.

Jia Song, Wanru Zhuang, Yujie Lin, Liang Zhang, Chunyan Li, Jinsong Su, Song He, Xiaochen Bo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning.

Chunyan Li, Junfeng Yao, Jinsong Su, Zhaoyang Liu, Xiangxiang Zeng, Chenxi Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

3DMol-Net: Learn 3D Molecular Representation Using Adaptive Graph Convolutional Network Based on Rotation Invariance.

Chunyan Li, Wei Wei, Jin Li, Junfeng Yao, Xiangxiang Zeng, Zhihan Lv

IEEE J. Biomed. Health Informatics, 2022

MBRep: Motif-based representation learning in heterogeneous networks.

Qian Hu, Fan Lin, Beizhan Wang, Chunyan Li

Expert Syst. Appl., 2022

A Novel Molecular Representation Learning for Molecular Property Prediction with a Multiple SMILES-Based Augmentation.

Chunyan Li, Jihua Feng, Shihu Liu, Junfeng Yao

Comput. Intell. Neurosci., 2022

2021

De novo generation of dual-target ligands using adversarial training and reinforcement learning.

Fengqing Lu, Mufei Li, Xiaoping Min, Chunyan Li, Xiangxiang Zeng

Briefings Bioinform., 2021

A spatial-temporal gated attention module for molecular property prediction based on molecular geometry.

Chunyan Li, Jianmin Wang, Zhangming Niu, Junfeng Yao, Xiangxiang Zeng

Briefings Bioinform., 2021

2020

Learning EEG topographical representation for classification via convolutional neural network.

Meiyan Xu, Junfeng Yao, Zhihong Zhang, Rui Li, Baorong Yang, Chunyan Li, Jun Li, Junsong Zhang

Pattern Recognit., 2020

Task-Guided Context-Path Embedding in Temporal Heterogeneous Networks.

Qian Hu, Fan Lin, Beizhan Wang, Chunyan Li

IEEE Access, 2020