江博闻

 江博闻

I am Bowen Jiang, an Assistant Professor at the School of Computer and Artificial Intelligence, Zhengzhou University . I received my Ph.D. in Engineering from Shanghai Jiao Tong University, where I was deeply honored to be advised by Prof. Bo Jiang . During my doctoral studies, I was affiliated with the Institute of Data Intelligence and the John Hopcroft Center for Computer Science.

My primary research interests lie in online learning, multi-armed bandits, and caching algorithms. My work has been published in top-tier (CCF-A/B) conferences and journals, including ICML, EMNLP, and Performance Evaluation.

Prospective Students: I am constantly looking for highly motivated students to work together on problems in but not limited to the aforementioned areas. Please email me with your CV and transcripts if you are interested. Students at both undergraduate and graduate levels are welcome! My email is jiangbowen@zzu.edu.cn.

Education

  • 2019 - 2025, Shanghai Jiao Tong University, Information and Communication Engineering, Ph.D Degree.
  • 2015 - 2019, Xidian University, Communication Engineering, Bachelor Degree.

Publication

  • Bowen Jiang, Bo Jiang, Jian Li, Tao Lin, Xinbing Wang, Chenghu Zhou, ”Online Restless Bandits with Unobserved States”, ICML 2023, Honolulu, HI, USA. (CCF A 类会议)
  • Bowen Jiang, Yubo Yang, Bo Jiang, ”Optimizing Latency for Caching with Delayed Hits in Non-Stationary Environment”, Performance Evaluation, Volume 169, 102488, September 2025. (CCF B 类期刊)
  • Bowen Jiang, Chaofan Ma, ”Modeling and Optimizing Latency for Delayed Hit Caching with Stochastic Miss Latency”, 4th International Conference on Networks, Communications and Information Technology (CNCIT), IEEE, 2025.
  • Hanbo Huang, Yihan Li, Bowen Jiang , et al., ”A Middle Path for On-Premises LLM Deployment: Preserving Privacy Without Sacrificing Model Confidentiality”, Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 8332-8370, 2025. (CCF B 类会议)
  • 沈志, 江博闻, 江波, 林涛, ” 延迟命中场景下基于学习方法的缓存性能优化”,中国传媒大学学报（自然科学版）, 30(03), 78-84, 2023。
  • Hanbo Huang, Yihan Li, Bowen Jiang, et al. , ”On-Premises LLM Deployment Demands a Middle Path: Preserving Privacy Without Sacrificing Model Confidentiality”,ICLR 2025 Workshop on Building Trust in Language Models and Applications.
  • Hanbo Huang, Yihan Li, Bowen Jiang, et al., ”Enhancing the Resilience of LLMs against Grey-box Extractions”, ICML 2024 Next Generation of AI Safety Workshop. 2024.

Awards

  • 07/2023, ICML Student Scholar Award, ICML 2023

  • 11/2019, Third Prize, China Graduate Mathematical Modeling Competition

  • 06/2019, Outstanding Graduate, Xidian University

  • 04/2018, Honorable Mention, Mathematical Contest in Modeling (MCM/ICM)

  • 10/2017, National Encouragement Scholarship

  • 11/2016, Second Prize, Chinese Mathematics Competitions (Shaanxi Province)