Dr. Jinpeng Chen

Address:

Beijing University of Posts and Telecommunications (BUPT), China
 

Academic Metrics

• H-Index: 14
• i10-Index: 25
• Total Citations Count: 1010

Research Interests:

• Machine Learning
• Recommendation Systems
• Social Network Analysis
• Data Mining & Knowledge Discovery
• Clustering, Classification, Prototype / Continual Learning
• Information Extraction, Data Science

Biography:

Dr. Jinpeng Chen is an expert in Data Mining, Machine Learning, and Social Network Analysis. His core research revolves around developing scalable and adaptive algorithms for complex graph-based data structures. His interests span cutting-edge areas like Graph Neural Networks (GNNs), Multimodal Large Language Models (MLLMs), and continual learning strategies. Dr. Chen is focused on applying his analytical expertise to real-world challenges in recommender systems, intrusion detection, and social computing, contributing valuable insights to the field of intelligent systems and data analytics.​

Education Details:

• PhD: Computer Science
   

Professional Background:

• Associate Professor (Current) - School Of Computer Science, Beijing University Of Posts And Telecommunications.
• Supervisor Of Doctorate And Master's Candidates (Current) - BUPT.
   

Achievements:

• Recognized for substantial contributions to Data Mining and Recommendation Systems technology.
• Active program committee member and reviewer for top-tier international conferences and journals in Computer Science and AI.
   

Current Research Projects:

• Scalable Graph Neural Networks: Research on making GNNs more adaptive and resilient to challenges like oversmoothing in deep architectures.
• Continual Learning For AI: Developing methods for deep networks to incrementally learn new information without forgetting previously acquired knowledge.

Academic Profiles of Jinpeng Chen:

Explore his academic and professional presence across trusted platforms:

• Google Scholar
• OpenReview
• DBLP
• Semantic Scholar
• ResearchGate

Publications:

Dr. Jinpeng Chen has maintained a strong record of publications detailing novel algorithmic contributions to intelligent systems and data processing, frequently published in high-impact venues. His work is influential in advancing the state-of-the-art in scalable AI methods.

The list of recent publications of Dr. Jinpeng Chen is listed below:

• Sun, C., Hu, J., Gu, H., Chen, J., Liang, W., & Yang, M. (2025). Scalable and adaptive graph neural networks with self-label-enhanced training. Pattern Recognition, 160, 111210. DOI: 10.1016/j.patcog.2025.111210.
• Chen, J., Cong, R., Luo, Y., Ip, H. H. S., & Kwong, S. (2025). Replay Without Saving: Prototype Derivation and Distribution Rebalance for Class-Incremental Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence.
• Chen, J., Cong, R., Luo, Y., Ip, H. H. S., & Kwong, S. (2025). SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning. ICML.
• Wang, H., Guan, W., Chen, J., Zhou, Z., & Zhou, D. (2024). Towards heterogeneous long-tailed learning: Benchmarking, metrics, and toolbox. Advances in Neural Information Processing Systems 37, 73098-73123.
• Cong, R., Xiong, H., Chen, J., Zhang, W., Huang, Q., & Zhao, Y. (2024). Query-guided prototype evolution network for few-shot segmentation. IEEE Transactions on Multimedia, 26, 6501-6512.

Last Updated on September 25, 2025