Jiamin Chen

About Me

陈家民，贵州师范大学大数据与计算机科学学院助理教授，2024年获得中南大学计算机科学与技术博士学位，曾任职于科大讯飞研究院、浙江移动信息技术部负责人工智能算法开发。 已在CCF A/B、中科院1/2区top等期刊与会议发表学术论文30余篇(SIGIR,BIBM,ECAI,TPDS,IS,JBHI...), 担任多个中科院1区期刊审稿人(KBS,PR,NN,TKDE...),具备多年硕士、博士科研指导经验。 目前研究兴趣为基于大语言模型的图学习及其应用、图自动机器学习、基于图的生物信息学。 欢迎各类涉及人工智能的科研与技术合作。 喜欢科研中能一起吃苦耐劳，生活中能一起娱乐的同学，对人工智能研究感兴趣的同学可随时联系我。

邮箱：chenjiamin1024@gmail.com

I am Chen Jiamin, and I am currently a assistant professor at the School of Big Data and Computer Science, Guizhou Normal University. I received my Ph.D. in Computer Science and Technology from Central South University (CSU) in June 2024. My research involves graph automated machine learning and its applications. I have published several papers in the following conferences and journals (SIGIR, CIKM, BIBM, TPDS, IS, TCBB, etc.). My Github and Google Scholar. Academic and technical cooperation is welcome. If you are interested in me, please feel free to contact me.

Research Interests

• Large Language Model on Graph
• Graph Automatic Machine Learning
• Bioinformatics based on Graph Neural Networks

Experience

•    2010.09-2014.06 Nanchang University / Bachelor Degree
•    2014.09-2017.06 Nanchang University / Master Degree
•    2016.11-2017.02 iFLYTEK Research Institute / Intern-researcher
•    2017.06-2020.07 China Mobile Zhejiang Company / IT Engineer
•    2020.09-2024.06 Central South University / Doctoral Degree
•    2024.09- Guizhou Normal University / Assistant Professor

News

• 2025.02 Graph Neural Architecture Search: A Survey won the 2024 Outstanding Paper Award of singhua Sci Technol!

Selected Publications

Services

Journal Reviewers

• IEEE Transactions on Knowledge and Data Engineering (TKDE)
• Pattern Recognition (PR)
• Neural Networks (NN)
• Knowledge-Based Systems (KBS)
• IEEE Transactions on Emerging Topics in Computational Intelligence (TETC)
• Briefings in Bioinformatics (BIB)
• ACM Computing Surveys (ACM CS)
• Artificial Intelligence Review (AIR)

Research Funding

1. Principal Investigator, Enhancing GNAS Generalization via Graph Structure Learning for Mining Fault Prediction.
   Engineering Research Center of Micro-Nano and Intelligent Manufacturing, Ministry of Education(No.WZG-202506), 2025-2026.

All Publications

* Correspond Author | # Equal Contribution

Journal Paper

Auto-GNAS: A Parallel Graph Neural Architecture Search Framework.
Jiamin Chen, Jianliang Gao, Yibo Chen, Babatounde MOCTARD Oloulade, Tengfei Lyu, Zhao Li.
IEEE Transactions on Parallel and Distributed Systems 2022 CCF A 中科院 2 区 Top.
Paper Code

Decoupled Differentiable Graph Neural Architecture Search.
Jiamin Chen, Jianliang Gao, Zhenpeng Wu, Raeed Al-Sabri, Babatounde Moctard Oloulade.
Information Sciences 2024 CCF B 中科院 1 区 Top.
Paper Code

AutoDDI: Drug–drug Interaction Prediction with Automated Graph Neural Network.
Jianliang Gao, Zhenpeng Wu, Raeed Al-Sabri, Babatounde Moctard Oloulade, and Jiamin Chen^*.
IEEE Journal of Biomedical and Health Informatics 2024 CCF C 中科院 2 区 Top.
Paper Code

CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection.
Jiamin Chen^#, Jianliang Gao^#, Babatounde Moctard Oloulade, Raeed Al-Sabri, Tengfei Lyu, Ji Zhang and Zhao Li.
IEEE Transactions on Emerging Topics in Computing 2023 中科院 2 区.
Paper Code

AutoMSR: Auto Molecular Structure Representation Learning for Multi-label Metabolic Pathway Prediction.
Jiamin Chen, Jianliang Gao, Tengfei Lyu, Babatounde MOCTARD Oloulade, Xiaohua Hu.
IEEE/ACM Transactions on Computational Biology and Bioinformatics 2022 CCF B 中科院 3 区.
Paper Code

GM2NAS: Multitask Multiview Graph Neural Architecture Search.
Jianliang Gao, Raeed Al-Sabri, Babatounde Moctard Oloulade, Jiamin Chen^*, Tengfei Lyu and Zhenpeng Wu.
Knowledge and Information Systems 2023 CCF B 中科院 4 区.
Paper

Graph Neural Architecture Prediction.
Jianliang Gao, Babatounde Moctard Oloulade, Raeed Al-Sabri, Jiamin Chen^*, Tengfei Lyu and Zhenpeng Wu.
Knowledge and Information Systems 2023 CCF B 中科院 4 区.
Paper Code

Graph Neural Architecture Search with Heterogeneous Message-passing Mechanisms.
Yili Wang，Jiamin Chen^#，Qiutong Li，Changlong He，Jianliang Gao.
Knowledge and Information Systems 2023 CCF B 中科院 4 区.
Paper Code

Studies of Terahertz Wave Propagation in Realistic Reentry Plasma Sheath.
Jiamin Chen, Kai Yuan, Linfang Shen, Xiaohua Deng, Lujun Hong, Ming Yao.
Progress in Electromagnetics Research 2016 中科院 1 区.
Paper

AutoAMS: Automated Attention-Based Multi-Modal Graph Learning Architecture Search.
Raeed Al-Sabri, Jianliang Gao, Jiamin Chen, Babatounde Moctard Oloulade and Zhenpeng Wu.
Neural Networks 2024 CCF B 中科院 1 区.
paper

Asymmetric augmented paradigm-based graph neural architecture search.
Zhenpeng Wu, Jiamin Chen, Raeed Al-Sabri, Babatounde Moctard Oloulade, and Jianliang Gao.
Information Processing and Management 2024 CCF B 中科院 1 区 Top.
Paper

Depth-adaptive graph neural architecture search for graph classification.
Zhenpeng Wu, Jiamin Chen, Raeed Al-Sabri, Babatounde Moctard Oloulade, and Jianliang Gao.
Knowledge-Based Systems 2024 CCF C 中科院 1 区 Top.
Paper Code

Decoupled Graph Neural Architecture Search with Explainable Variable Propagation Operation.
Changlong He，Jiamin Chen，Qiutong Li，Yili Wang，Jianliang Gao.
Knowledge and Information Systems 2025 CCF B 中科院 4 区.
Paper Code

Shapley-guided pruning for efficient graph neural architecture prediction in distributed learning environments.
Babatounde Moctard Oloulade, Jianliang Gao, Jiamin Chen, Raeed Al-Sabri, Zhenpeng Wu, Monir Abdullah.
Information Sciences 2024 CCF B 中科院 1 区 Top.
Paper Code

Graph Neural Architecture Search: A Survey.
Babatounde Moctard Oloulade, Jianliang Gao, Jiamin Chen, Tengfei Lyu, Raeed Al-Sabri.
Tsinghua Science and Technology 2021 中科院 1 区.
Paper

Cancer Drug Response Prediction With Surrogate Modeling-Based Graph Neural Architecture Search.
Babatounde Moctard Oloulade, Jianliang Gao, Jiamin Chen, Raeed Al-Sabri and Zhenpeng Wu.
Bioinformatics 2023 CCF B 中科院 2 区 .
Paper Code

Neural Predictor-Based Automated Graph Classifier Framework.
Babatounde Moctard Oloulade, Jianliang Gao, Jiamin Chen, Raeed Al-Sabri, Tengfei Lyu.
Machine Learning 2022 CCF B 中科院 3 区.
Paper

Multi-view Graph Neural Architecture Search for Biomedical Entity and Relation Extraction.
Raeed AI-Sabri, Jianliang Gao, Jiamin Chen, Babatounde MOCTARD Oloulade, Tengfei Lyu.
IEEE/ACM Transactions on Computational Biology and Bioinformatics 2022 CCF B 中科院 3 区.
Paper Code

Adaptive Graph Contrastive Learning with Joint Optimization of Data Augmentation and Graph Encoder.
Zhenpeng Wu, Jiamin Chen, Raeed Al-Sabri, Babatounde Moctard Oloulade, and Jianliang Gao.
Knowledge and Information Systems 2023 CCF B 中科院 4 区.
Paper Code

AutoTGRL: An Automatic Text-graph Representation Learning Framework.
Raeed Al-Sabri, Jianliang Gao, Jiamin Chen, Babatounde Moctard Oloulade and Tengfei Lyu.
Neural Computing and Application 2023 CCF C 中科院 4 区.
Paper

Spectral adversarial attack on graph via node injection.
Weihua Ou, Yi Yao, Jiahao Xiong, Yunshun Wu ,Xianjun Deng, Jianping Gou, Jiamin Chen.
Neural Networks 2025 CCF B 中科院 1 区.
Paper

Impact of Reentry Speed on the Transmission of Obliquely Incident THz Waves in Realistic Plasma Sheaths.
Kai Yuan, Jiamin Chen, Linfang Shen, Xiaohua Deng, Ming Yao, Lujun Hong.
IEEE Transactions on Plasma Science 2018 中科院 4 区.
Paper

Identification of New M 31 Star Cluster Candidates from PAndAS Images using Convolutional Neural Networks.
Shoucheng Wang, Bingqiu Chen, Jun Ma, Qian Long, Haibo Yuan, Dezi Liu, Zhimin Zhou, Wei Liu, Jiamin Chen, Zizhao He.
Astronomy & Astrophysics 2022 中科院 2 区.
Paper Code

Conference Paper

GraphPAS: Parallel Architecture Search for Graph Neural Networks.
Jiamin Chen, Jianliang Gao, Yibo Chen, Babatounde MOCTARD Oloulade, Tengfei Lyu, Zhao Li.
The International ACM SIGIR Conference on Research and Development in Information Retrieval 2021 CCF A.
Paper Code

Multi-label Metabolic Pathway Prediction with Auto Molecular Structure Representation Learning.
Jiamin Chen, Jianliang Gao, Tengfei Lyu, Babatounde MOCTARD Oloulade, Xiaohua Hu.
IEEE International Conference on Bioinformatics and Biomedicine 2021 CCF B.
Paper Code

Glycan Immunogenicity Prediction with Efficient Automatic Graph Neural Network.
Jiamin Chen, Zhenpeng Wu, Jianliang Gao, Xiaohua Hu.
IEEE International Conference on Bioinformatics and Biomedicine 2022 CCF B.
Paper

Relation Time-aware Heterogeneous Dynamic Graph Neural Networks.
Yili Wang^#，Jiamin Chen^#，Qiutong Li，Changlong He，Jianliang Gao.
European Conference on Artificial Intelligence 2024 CCF B.
Paper

TemDep: Temporal Dependency Priority for Multivariate Time Series Prediction.
Shu Liu, Jiaheng Wang, Jiamin Chen^*, Jianliang Gao and Yuhui Zhong．
ACM International Conference on Information and Knowledge Management 2023 CCF B.
Paper Code

Decoupled Graph Neural Architecture Search with Variable Propagation Operation and Appropriate Depth.
Jianliang Gao, Changlong He, Jiamin Chen^*, Qiutong Li and Yili Wang．
International Conference on Scientific and Statistical Database Management 2023 CCF C.
Paper Code

DTSRN: Dynamic Temporal Spatial Relation Network for Stock Ranking Recommendation.
Yuhui Zhong^#, Jiamin Chen^#, Jianliang Gao and Jiaheng Wang, Quan Wan．
International Conference on Neural Information Processing 2023 CCF C.
Paper

Adaptive Drug Repositioning Prediction.
Zhenpeng Wu, Jiamin Chen, Jianliang Gao.
IEEE International Conference on Bioinformatics and Biomedicine 2024 CCF B.
paper

M3GNAS: Multi-modal Multi-view Graph Neural Architecture Search for Medical Outcome Predictions.
Raeed AL-sabri, Jianliang Gao, Jiamin Chen, Babatounde Moctard Oloulade, Zhenpeng Wu, Monir Abdullah, and Xiaohua Hu.
IEEE International Conference on Bioinformatics and Biomedicine 2024 CCF B.
paper

MSLS: Meta-graph Search with Learnable Supernet for Heterogeneous Graph Neural Networks.
Yili Wang, Jiamin Chen, Qiutong Li, Changlong He and Jianliang Gao．
International Conference on Scientific and Statistical Database Management 2023 CCF C.
Paper

Spatio-Temporal based Architecture Topology Search for Multivariate Time Series Prediction.
Xinqi Lyu, Yibo Chen, Jiamin Chen, Xiangyue Liu, Jianliang Gao.
IEEE International Conference on Big Data 2022 CCF C.
Paper

Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting.
Xiangyue Liu, Xinqi Lyu, Xiangchi Zhang, Jianliang Gao, Jiamin Chen.
ACM International Conference on Information and Knowledge Management 2022 CCF B.
Paper

Patent

Community discovery method and personalized recommendation method based on automatic modeling of graph neural network.
Jianliang Gao, Jiamin Chen.
Patent number:ZL 2022 1 0254385.9
China National Intellectual Property Administration 2022.

Graph neural network structure optimization search method, system and storage medium.
Jianliang Gao, Jiamin Chen.
Public number:CN113379035A
China National Intellectual Property Administration 2021.

Teaching Assistant

• University Physics, Nanchang University, Spring 2015.

Selected Honors and Awards

• Principal Scholarship (Only 1 doctoral students recieced this award in CSU School of Computing) 2023
• National Scholarship for Doctoral Students 2022
• Enterprise Scholarship for Doctoral Students (CSU) 2022
• First-class Academic Scholarship for Doctoral Students (CSU) 2021 2022 2023
• Excellent Doctoral Students (CSU) 2021 2022 2023
• ACM SIGIR Student Travel Grants 2021
• First-class Scholarship for Excellent Postgraduate Students (NCU) 2016
• Excellent Student Cadres for Postgraduate Students (NCU) 2015
• Excellent Postgraduate Student of the College of Science (NCU) 2015
• First-class Academic Scholarship for Postgraduate Students (NCU) 2014 2015 2016
• Excellent Graduates (NCU) 2014
• First-class Scholarship for Excellent Undergraduate Students (NCU) 2013

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