李春艳，博士，副研究员，博士生导师，云南师范大学高层次引进人才，中国计算机学会高级会员，中国人工智能学会会员。2022年6月毕业于厦门大学信息学院，获工学博士学位。主要研究方向为智能计算、面向生物医药的人工智能。主持国家自然科学基金2项（在研），主持云南省重点项目1项（结项），主持教育厅科研项目2项（结项2项，优秀2项）。近五年在国际知名期刊《IEEE Transactions on Neural Networks and Learning Systems》、《IEEE Journal of Biomedical and Health Informatics》、《Information Fusion》、《Journal of Chemical Theory and Computation》、《IEEE Transactions on Computational Biology and Bioinformatics》、《BMC Biology》、《Expert Systems with Applications》、《Neurocomputing》、《Briefings in Bioinformatics》、《Pattern Recognition》等SCI期刊和AAAI等CCF A类会议发表学术论文30余篇，研究成果在多个学术媒体公众号上进行了报道。社会服务方面，长期担任多个国际SCI期刊的编委和审稿人、多个国际知名会议AAAI、ICANN等的Program Committee Member和参与国际知名公众号DrugAI的运营和维护。

研究方向：智能计算、面向生物医药的人工智能

主持科研项目：

1.基于图上分布外泛化的分子表征解纠缠研究，国家自然科学基金（面上项目），2025，在研；

2.基于3D自监督学习的药物分子属性预测研究，国家自然科学基金（地区项目），2023，在研；

3.云南AI生物医药产业模式创新与对策研究，云南省哲学社会科学规划社会智库项目（重点项目），结项；

4.基于图卷积神经网络的3D分子指纹表征学习，云南省教育厅，2020，结项（优秀）；

5.基于序列建模增强的小分子药物性质预测研究，云南省教育厅，2022，结项（优秀）；

发表的部分论文：

[1]Li Chunyan; Yao Junfeng; Su Jinsong; Liu Zhaoyang; Zeng Xiangxiang; Huang Chenxi. LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning [C]. Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 37(4), 5169-5177, 2023. (AAAI-23, Oral)

[2]Li Chunyan; Yao Junfeng*; Wei Wei*; Niu Zhangming; Zeng Xiangxiang*; Li Jin; Wang Jianmin. Geometry-based Molecular Generation with Deep Constrained Variational Autoencoder [J].IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 35(4), pp.4852-4861, 2024.

[3]Li Chunyan; Wei Wei; Li Jin; Yao Junfeng*;Zeng Xiangxiang*; LV Zhihan. 3DMol-Net: Learn 3D Molecular Representation using Adaptive Graph Convolutional Network Based on Rotation Invariance [J].IEEE Journal of Biomedical and Health Informatics (JBHI),Volume:26, Issue:10, 2022.

[4]Li Chunyan; Wang Jianmin; Niu Zhangming; Yao Junfeng*; Zeng Xiangxiang*. A Spatial-temporal Gated Attention Module for Molecular Property Prediction Based on Molecular Geometry [J].Briefings in Bioinformatics, 22(5), bbab078, 2021.

[5]Li Chunyan; Feng Jihua; Liu Shihu; Yao Junfeng*. A Novel Molecular Representation Learning for Molecular Property Prediction with a Multiple SMILES-based Augmentation [J].Computational Intelligence and Neuroscience, Vol. 2022.

[6]Li Chunyan^#; Liu Hongju^#; Hu Qian; Que Jinlong; Yao Junfeng*. A Novel Computational Model for Predicting microRNA–Disease Associations Based on Heterogeneous Graph Convolutional Networks [J].Cells, 8(9), p.977, 2019.

[7]Li Chunyan; Wang Jiaji; Wang Shuihua; Zhang Yudong*. A Review of IoT Applications in Healthcare [J].Neurocomputing, 565, 2024.

[8]Chen Ruizhe;Li Chunyan*（通讯作者）; Wang Longyue; Liu Mingquan; Chen Shugao; Yang Jiahao; Zeng Xiangxiang. Pretraining graph transformer for molecular representation with fusion of multimodal information [J].Information Fusion. Volume 115, March 2025, 102784.

[9]Liu Zhaoyang; Xiao Yuteng; Wang Honglei;Li Chunyan*（通讯作者）; Yin Hongsheng*. BBM: A novel beta-binomial-distribution-based biclustering algorithm for mining m⁶A co-methylation patterns [J].Expert Systems with Applications (ESWA),https://doi.org/10.1016/j.eswa.2024.125121, 2024.

[10]Liu Mingquan;Li Chunyan*（通讯作者）; Chen Ruizhe; Cao Dongsheng; Zeng Xiangxiang*. Geometric Deep Learning for Drug Discovery [J].Expert Systems with Applications (ESWA), 2023.

[11]Min Xiaoping; Lu Fengqing;Li Chunyan*（通讯作者）. Sequence-Based Deep Learning Frameworks on Enhancer-Promoter Interactions Prediction[J].Current Pharmaceutical Design,27(15), pp.1847-1855, 2021.

[12]Huang Wei;Li Chunyan*（通讯作者）; Ju Ying; Gao Yan. The Next Generation of Machine Learning in DDIs Prediction [J].Current Pharmaceutical Design,27(23), pp.2728-2736, PMID: 33504300, 2021.

[13]Wang Jianmin; Wang Xun; Chu Yanyi;Li Chunyan; Li Xue; Meng Xiangyu; Fang Yitian; Tai No Kyong; Mao Jiashun; Zeng Xiangxiang. Exploring the Conformational Ensembles of Protein−Protein Complex with Transformer-Based Generative Model [J]. Journal of Chemical Theory and Computation, DOI: 10.1021/acs.jctc.4c00255, 2024.

[14]Wang Jianmin; Mao Jiashun;Li Chunyan; Xiang Hongxin; Wang Xun; Wang Shuang; Wang Zixu; Chen Yangyang; Li Yuquan; Tai No Kyong; Song Tao; Zeng Xiangxiang. Interface-aware Molecular Generative Framework for Protein-Protein Interaction Modulators [J]. Journal of Cheminformatics, 142, 2024.

[15]Wang Zixu; Chen Yangyang; Guo Xiulan; Li Yayang; Li Pengyong;Li Chunyan; Ye Xiucai; Sakurai Tetsuya. DiffSeqMol: A Non-Autoregressive Diffusion-Based Approach for Molecular Sequence Generation and Optimization [J]. Current Bioinformatics, Volume 20, Issue 1, 2025, pp.46-58.

[16]Lu Fengqing; Li Mufei; Min Xiaoping*;Li Chunyan; Zeng Xiangxiang*. De Novo generation of dual-target ligands using adversarial training and reinforcement learning [J].Briefings in Bioinformatics, 22(6), bbab333, 2021.

[17]Hu Qian; Lin Fan*; Wang Beizhan*;Li Chunyan. MBRep: Motif-based Representation Learning in Heterogeneous Networks [J].Expert Systems with Applications (ESWA), 190, p.116031, 2022.

[18]Xu Meiyan; Yao Junfeng*; Zhang Zhihong; Li Rui; Yang Baorong;Li Chunyan; Li Jun; Zhang Junsong*. Learning EEG topographical representation for classification via convolutional neural network [J].Pattern Recognition, 105, p.107390, 2020.

[19]Jin Shuting; Liu Xiangrong; Xu Junlin; Xiang Hongxing; Shen Lian;Li Chunyan; Niu Zhangming; Jiang Yinhui. Adaptive symmetry-based adversarial perturbation augmentation for molecular graph representations with dual-fusion attention information [J].Information Fusion, https://doi.org/10.1016/j.inffus.2025.103062, 2025.

[20]Song Jia; Zhuang Wanru; Lin Yujie; Zhang Liang;Li Chunyan; Su Jinsong; He Song; Bo Xiaochen. Towards Cross-Modal Text-Molecule Retrieval with Better Modality Alignment [C]. 2024IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1161-1168, 2024.

[21]Wen Chaoyu; Cai Li;Li Chunyan; Li Jin. TrustworthyCPI: Trustworthy Compound–Protein Interaction Prediction [J].IEEE Transactions on Computational Biology and Bioinformatics, 22(2), 2025, pp.732-743.

[22]Zhou Peng; Wang Jianmin;Li Chunyan; Wang Zixu; Liu Yiping; Sun Siqi; Lin Jianxin; Wei Leyi; Cai Xibao; Lai Houtim; Liu Wei; Wang Longyue; Liu Yuansheng; Zeng Xiangxiang. Instruction multi-constraint molecular generation using a teacher-student large language model [J].BMC Biology, 23, 105, 2025.

[23]Zhao Tianze; Yin Zhenyu; Lu Yong; Cheng Shaocong;Li Chunyan. Insight mixed deep neural network architectures for molecular representation [J].Alexandria Engineering Journal, https://doi.org/10.1016/j.aej.2024.08.113, 2024.

[24]Lu Yong; Wang Chenxu; Wang Ze; Zhang Xukun; Zhou Guifei;Li Chunyan. Semi-supervised learning-based virtual adversarial training on graph for molecular property prediction [J].Alexandria Engineering Journal, https://doi.org/10.1016/j.aej.2024.11.110, 2024.

[25]Yacoub Taher; Depenveiller Camille; Tatsuma Atsushi;Li Chunyan; et al. SHREC 2025: Protein surgace shape retrieval including electrostatic potential [J].Computers & Graphics, 2025.

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