【教师简介】
陈家民，中共党员，中南大学博士，计算机科学与技术专业。研究方向为图自动机器学习、基于图学习的生物信息学、时间序列建模、大语言模型应用等。目前已在CCF A、CCF B、中科院1区、2区TOP期刊与顶级会议发表学术论文40余篇（SIGIR、BIBM、 ECAI、CKIM、TPDS、ESWA、INS、TCBB等），授权国家发明专利1项，担任多个中科院1区、2区学术期刊审稿人（TKDE，KBS，PR，EAAI，Neurocomputing等），主持贵州省基础研究计划面上项目、凯里学院开放基金项目，参研定向支持贵安新区科技重点项目，目前研究兴趣为基于图表示学习的生物信息学，自动机器学习，大语言模型应用，个人主页:https://automachine0.github.io/。
邮箱：chenjiamin1024@gmail.com
【主要经历】
2010.09-2014.06 南昌大学，理学院，本科
2014.09-2017.06 南昌大学，理学院，硕士
2016.10-2017.01 科大讯飞，研究院，研究员
2017.07-2020.07 浙江移动，信息技术部，人工智能算法工程师
2020.09-2024.06 中南大学，计算机学院，博士
2024.09-至今 贵州师范大学，大数据与计算机科学学院，讲师
【发表论文】
[1] Jiamin Chen, Zhenpeng Wu, Tairan Huang, Xinqiu Zhang, Siyang Xiao, Weihua Ou. Attribute-decoupled Graph Neural Architecture Search for Discrete Point Anomaly Detection. Expert Systems with Applications, 2026. (ESWA) 中科院1区 TOP
[2] Jiamin Chen, Jianliang Gao, Zhenpeng Wu, Raeed Al-Sabri, Babatounde Moctard Oloulade. Decoupled Differentiable Graph Neural Architecture Search. Information Sciences, 2024. (INS) CCF B中科院1区 TOP
[3] Jiamin Chen, Jianliang Gao, Tengfei Lyu, Babatounde MOCTARD Oloulade, Xiaohua Hu. AutoMSR: Auto Molecular Structure Representation Learning for Multi-label Metabolic Pathway Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023. (TCBB) CCF B 中科院3区
[4] Jiamin Chen, Jianliang Gao, Yibo Chen, Babatounde MOCTARD Oloulade, Tengfei Lyu, Zhao Li. Auto-GNAS: A Parallel Graph Neural Architecture Search Framework. IEEE Transactions on Parallel and Distributed Systems, 2022. (TPDS) CCF A 中科院2区
[5] Jiamin Chen, Zhenpeng Wu, Jianliang Gao, Xiaohua Hu. Glycan Immunogenicity Prediction with Efficient Automatic Graph Neural Network. IEEE International Conference on Bioinformatics and Biomedicine, 2022. (BIBM) CCF B
[6] Jiamin Chen, Jianliang Gao, Yibo Chen, Babatounde MOCTARD Oloulade, Tengfei Lyu, Zhao Li. GraphPAS: Parallel Architecture Search for Graph Neural Networks. The International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021. (SIGIR) CCF A
[7] Jiamin Chen, Jianliang Gao, Tengfei Lyu, Babatounde MOCTARD Oloulade, Xiaohua Hu. Multi-label Metabolic Pathway Prediction with Auto Molecular Structure Representation Learning. IEEE International Conference on Bioinformatics and Biomedicine, 2021. (BIBM) CCF B
[8] Jiamin Chen, Kai Yuan, Linfang Shen, Xiaohua Deng, Lujun Hong, Ming Yao. Studies of Terahertz Wave Propagation in Realistic Reentry Plasma Sheath. Progress in Electromagnetics Research, 2016. (PIER) 中科院1区
[9] Jianliang Gao, Zhenpeng Wu, Raeed Al-Sabri, Babatounde Moctard Oloulade, and Jiamin Chen*. AutoDDI: Drug–drug Interaction Prediction with Automated Graph Neural Network. IEEE Journal of Biomedical and Health Informatics, 2024. (*通讯作者) (JBHI) CCF C中科院2区 TOP
[10] Shu Liu, Jiaheng Wang, Jiamin Chen*, Jianliang Gao and Yuhui Zhong. TemDep: Temporal Dependency Priority for Multivariate Time Series Prediction. ACM International Conference on Information and Knowledge Management, 2023. (*通讯作者) (CIKM) CCF B
[11] Jianliang Gao, Raeed Al-Sabri, Babatounde Moctard Oloulade, Jiamin Chen*, Tengfei Lyu and Zhenpeng Wu. GM2NAS: Multitask Multiview Graph Neural Architecture Search. Knowledge and Information Systems, 2023. (*通讯作者) (KAIS) CCF B 中科院4区
[12] Jianliang Gao, Babatounde Moctard Oloulade, Raeed Al-Sabri, Jiamin Chen*, Tengfei Lyu and Zhenpeng Wu. Graph Neural Architecture Prediction. Knowledge and Information Systems, 2023. (*通讯作者) (KAIS) CCF B 中科院4区
[13] Jianliang Gao, Changlong He, Jiamin Chen*, Qiutong Li, Yili Wang. Decoupled Graph Neural Architecture Search with Variable Propagation Operation and Appropriate Depth. International Conference on Scientific and Statistical Database Management, 2023. (*通讯作者) (SSDBM) CCF C
[14] Jianliang Gao#, Jiamin Chen#, Babatounde Moctard Oloulade, Raeed Al-Sabri, Tengfei Lyu, Ji Zhang and Zhao Li. CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection. IEEE Transactions on Emerging Topics in Computing, 2023. (#共同一作) (TETC) 中科院2区
[15] Yili Wang#, Jiamin Chen#, Qiutong Li, Changlong He, Jianliang Gao. Relation Time-aware Heterogeneous Dynamic Graph Neural Networks. European Conference on Artificial Intelligence, 2024 . (#共同一作) (ECAI) CCF B
[16] Yuhui Zhong#, Jiamin Chen#, Jianliang Gao, Jiaheng Wang, Quan Wan. DTSRN: Dynamic Temporal Spatial Relation Network for Stock Ranking Recommendation. International Conference on Neural Information Processing, 2023. (#共同一作) (ICONIP) CCF C
[17] Yili Wang#, Jiamin Chen#, Qiutong Li, Changlong He, Jianliang Gao. Graph Neural Architecture Search with Heterogeneous Message-passing Mechanisms. Knowledge and Information Systems, 2024. (#共同一作) (KAIS) CCF B 中科院4区
[18] Zhenpeng Wu, Cheng Yan, Jiamin Chen, Siyang Xiao, and Jianliang Gao. Drug Repositioning Based on Expert Knowledge Augmented Graph Neural Network. IEEE Journal of Biomedical and Health Informatics, 2025. (JBHI) 中科院2区 TOP
[19] Pengju Wang, Sicong Zhang, Rongrong Chen, Jiamin Chen, Yufeng Fan, Lulu Ning, Yongfeng Cao. Regularized Evidential Neural Networks for Deep Active Learning. Pattern Recognition, 2026. (PR) 中科院1区 TOP
[20] Zhenpeng Wu, Jiamin Chen, Jianliang Gao. Improving the Representational Power of Graph Neural Networks via Mixed Substructure Learning. Information Fusion, 2026. (INF) 中科院1区 TOP
[21] Yuanjun Yang, Weihua Ou, Sichao Fu, Jiamin Chen, Yunshun Wu. Heterogeneous Graph Completion Collaborative Network for Attribute-missing Heterogeneous Graph Representation Learning. Expert Systems With Applications, 2025. (ESWA) 中科院1区 TOP
[22] Yuanjun Yanga, Weihua Ou, Yunshun Wua, Jiamin Chen, Hao Tianb, Jianping Gou, Zhonghua Liu, Bineng Zhong. Lightweight Completion with High-order Semantic Attributes for Heterogeneous Sparse Attribute Graph Learning. Knowledge-Based Systems, 2025. (KBS) 中科院1区 TOP
[23] Siyang Xiao, Jiamin Chen, Zhenpeng Wu, Shuqing W, Jianliang Gao. DSA-GNAS: Graph Neural Architecture Search with Deep Semantic Adaptation of Large Language Models. Knowledge and Information Systems, 2026. (KAIS) 中科院4区 CCF B
[24] Zhenpeng Wu, Jiamin Chen, Raeed Al-Sabri, Babatounde Moctard Oloulade, and Jianliang Gao. Depth-adaptive graph neural architecture search for graph classification. Knowledge-Based Systems 2024 (KBS) CCF C 中科院1区TOP
[25] Zhenpeng Wu, Jiamin Chen, Raeed Al-Sabri, Babatounde Moctard Oloulade, and Jianliang Gao. Asymmetric augmented paradigm-based graph neural architecture search. Information Processing and Management, 2024. (IPM) CCF B 中科院 1 区 TOP
[26] Zhenpeng Wu, Jiamin Chen, Raeed Al-Sabri, Babatounde Moctard Oloulade, and Jianliang Gao. Adaptive Graph Contrastive Learning with Joint Optimization of Data Augmentation and Graph Encoder. Knowledge and Information Systems, 2023. (KAIS) CCF B 中科院4区
[27] Zhenpeng Wu, Jiamin Chen, Jianliang Gao. Adaptive Drug Repositioning Prediction. IEEE International Conference on Bioinformatics and Biomedicine, 2024 (BIBM) CCF B
[28] Raeed Al-Sabri, Jianliang Gao, Jiamin Chen, Babatounde Moctard Oloulade and Zhenpeng Wu. AutoAMS: Automated Attention-Based Multi-Modal Graph Learning Architecture Search. . Neural Networks, 2024. (NN) CCF B 中科院1区 TOP
[29] Raeed AL-sabri, Jianliang Gao, Jiamin Chen, Babatounde Moctard Oloulade, Zhenpeng Wu, Monir Abdullah, and Xiaohua Hu. M3GNAS: Multi-modal Multi-view Graph Neural Architecture Search for Medical Outcome Predictions. IEEE International Conference on Bioinformatics and Biomedicine, 2024. (BIBM) CCF B
[30] Yili Wang, Jiamin Chen, Qiutong Li, Changlong He, Jianliang Gao. MSLS: Meta-graph Search with Learnable Supernet for Heterogeneous Graph Neural Networks. International Conference on Scientific and Statistical Database Management, 2023. (SSDBM) CCF C
[31] Babatounde Moctard Oloulade, Jianliang Gao, Jiamin Chen, Raeed Al-Sabri, Zhenpeng Wu. Cancer Drug Response Prediction With Surrogate Modeling-Based Graph Neural Architecture Search. Bioinformatics, 2023. CCF B 中科院3区
[32] Babatounde Moctard Oloulade, Jianliang Gao, Jiamin Chen, Raeed Al-Sabri, Tengfei Lyu. Neural Predictor-Based Automated Graph Classifier Framework. Machine Learning, 2022. (ML) CCF B 中科院3区
[33] Raeed AI-Sabri, Jianliang Gao, Jiamin Chen, Babatounde MOCTARD Oloulade, Tengfei Lyu. Multi-view Graph Neural Architecture Search for Biomedical Entity and Relation Extraction. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022. (TCBB) CCF B 中科院3区
[34] Babatounde Moctard Oloulade, Jianliang Gao, Jiamin Chen, Tengfei Lyu, Raeed Al-Sabri. Graph Neural Architecture Search: A Survey. Tsinghua Science and Technology, 2021. (TST) 中科院1区
[35] Raeed Al-Sabri, Jianliang Gao, Jiamin Chen, Babatounde Moctard Oloulade and Tengfei Lyu. AutoTGRL: An Automatic Text-graph Representation Learning Framework. Neural Computing and Application, 2023. (NCAA) CCF C
[36] Xiangyue Liu, Xinqi Lyu, Xiangchi Zhang, Jianliang Gao, Jiamin Chen. Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting. The Conference on Information and Knowledge Management, 2022. (CIKM) CCF B
[37] Xinqi Lyu, Yibo Chen, Jiamin Chen, Xiangyue Liu, Jianliang Gao. Spatio-Temporal based Architecture Topology Search for Multivariate Time Series Prediction. IEEE International Conference on Big Data, 2022. (ICBD) CCF C
[38] Changlong He, Jiamin Chen, Qiutong Li, Yili Wang, Jianliang Gao. Decoupled Graph Neural Architecture Search with Explainable Variable Propagation Operation. Knowledge and Information Systems, 2025.（KAIS） CCF B 中科院4区
[39] Babatounde Moctard Oloulade, Jianliang Gao, Jiamin Chen, Raeed Al-Sabri, Zhenpeng Wu, Monir Abdullah. Shapley-guided pruning for efficient graph neural architecture prediction in distributed learning environments. Information Sciences, 2024. (INS) CCFB 中科院1区TOP
[40] Weihua Ou, Yi Yao, Jiahao Xiong, Yunshun Wu ,Xianjun Deng, Jianping Gou, Jiamin Chen. Spectral adversarial attack on graph via node injection. Neural Networks, 2025 (NN) CCF B 中科院1区 TOP
[41] Kai Yuan, Jiamin Chen, Linfang Shen, Xiaohua Deng, Ming Yao, Lujun Hong. Impact of Reentry Speed on the Transmission of Obliquely Incident THz Waves in Realistic Plasma Sheaths. IEEE Transactions on Plasma Science, 2018. (TPS) 中科院3区
[42] Shoucheng Wang, Bingqiu Chen, Jun Ma, Qian Long, Haibo Yuan, Dezi Liu, Zhimin Zhou, Wei Liu, Jiamin Chen, Zizhao He. Identification of New M 31 Star Cluster Candidates from PAndAS Images using Convolutional Neural Networks. Astronomy & Astrophysics, 2022. (A&A) 中科院2区
【发明专利】
[1] 高建良;陈家民. 基于图神经网络自动建模的社区发现方法及个性推荐方法, ZL 2022 1 0254385.9.
【学术审稿】
[1] IEEE Transactions on Knowledge and Data Engineering 中科院1区 TOP 审稿人
[2] Knowledge-Based Systems 中科院1区 TOP审稿人
[3] Engineering Applications of Artificial Intelligence 中科院 1 TOP 审稿人
[4] Pattern Recognition 中科院1区 TOP审稿人
[5] Neural Networks 中科院2区 TOP审稿人
[6] Neurocomputing 中科院 2 区 审稿人
[7] Information Sciences 中科院 2 区 审稿人
【科研项目】
[1] 结构自适应分子语言模型研究 贵州省基础研究计划面上项目，项目编号：黔科合基础MS [2026] 409，2026.01-2028.12，主持
[2] 基于图结构学习的图神经架构搜索泛化性优化研究与其在矿山设备故障预测中的应用 凯里学院开放基金项目，项目编号：WZG-202506，2025.01-2026.10，主持
[3] 面向矿山智能运维的高质量数据集开发与大模型训练关键技术应用及示范 2025年度定向支持贵安新区科技重点项目，项目编号：黔科合成果 DXGA [2025] 重点 002，2025.01-2027.12，参研(第一参与人)
【获奖情况】
2026年获计算机系2025年度优秀教师
2025年获中南大学2024年优秀博士学位论文
2025年获《清华大学学报自然科学》2024年优秀论文奖
2023年获中南大学校长奖学金 拔尖奖
2022年获博士国家奖学金
