Portrait of Gang Yan

Gang Yan (燕刚)

Full Professor

Jilin University

📧 gyan8@jlu.edu.cn

📍 Changchun, China

About Me

I am a professor and Ph.D. supervisor in the College of Computer Science and Technology at Jilin University. I also serve as Assistant Dean of the College and Director of the National Virtual Simulation Teaching Center for the Internet of Things. I was selected for a national-level young talent program in 2024.

I received my Ph.D. in Electrical and Computer Engineering from Binghamton University, State University of New York, in 2023. I earned my M.S. and B.S. degrees in Statistics from Nankai University in 2019 and 2016, respectively, and was a postdoctoral scholar at the University of California, Merced, in 2024.

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Research Interests

My research lies at the intersection of networked systems, distributed intelligence, and trustworthy AI. Current directions include network optimization and cloud-edge systems; federated learning and trustworthy distributed intelligence; foundation models and trustworthy reasoning; optimization and security for AI agents; AI for Science and computational discovery; and recommender systems and data intelligence. My group develops principled methods and deployable systems for efficient, reliable, and secure intelligent computing.

Join NODI Lab.

NODI Lab plans to recruit three academic-track Ph.D. students for Fall 2027, including direct-entry applicants, and five master's students through China's recommendation-based graduate admissions pathway. Final quotas, eligibility requirements, and admissions procedures are subject to official notices from Jilin University and the College.

Applicants should have strong foundations in computer systems, machine learning, mathematics, statistics, or a related field; solid programming and experimental skills; and the ability to read and write technical English. Please email a CV, transcripts, and representative work to gyan8@jlu.edu.cn or gangyan58@gmail.com. For details, visit the NODI Lab homepage.

Recent News

[September 2026] [Talk] I presented “Trustworthy Adaptation in Complex Environments: From Structural Identification to Influence Control” at the 50th Anniversary Celebration of Computer Science at Jilin University.

[August 2026] [Talk] I presented “Trustworthy Adaptation in Complex Environments: Structure, Statistics, and Robustness” at the 21st China Annual Conference on Foundations of Artificial Intelligence (CFAI 2026).

[August 2026] [Paper] Three papers on robust federated aggregation, federated LoRA security, and contextual bandits were accepted to ACM CIKM 2026.

[July 2026] [Paper] Our paper on modality-heterogeneous federated cross-modal retrieval was accepted to ACM Multimedia 2026.

[July 2026] [Exchange] NODI Lab members attended WAIC 2026 and discussed potential collaborations in medical and financial agents, AI-assisted drug discovery, and agent security.

[June 2026] [Paper] Our paper on identifiable personalization for federated parameter-efficient fine-tuning was accepted to ECCV 2026.

[June 2026] [Paper] Two papers on robust optimization and per-base risk prediction for DNA data storage were accepted to ACM KDD 2026.

[January 2026] [Paper] Our paper "MaRS: Memory-Adaptive Routing for Reliable Capacity Expansion and Knowledge Retention" accepted to ICLR 2026.