➠ About Me

Rongfei Zeng is the associate professor of Software College at Northeastern University and a visiting research fellow of Computer Networks and Information Center, CAS. He received his Ph.D. degree in Computer Science and Technology from Tsinghua University with honor in 2012. Now, his research interests include distributed machine learning and its applications, networks performance and security, cloud computing and IoTs. He has published 30+ papers in top journals and conferences such as IEEE Transactions on Parallel and Distributed Systems (TPDS), Elsevier Computer Networks, IEEE ICDCS, etc. Currently, he is a senior member of CCF and a member of IEEE and ACM. He also serves as an executive member of CCF TC on Internet, Network & Data Communications, and Distributed Computing, and CCF WC on Science Promotion. He is also the consultant of CCTV2, Posts & Telecom Press, etc.

⇢ News

[Nov. 2024] I was nominated as a TPC member of ICC 2025.
[Sept. 2024] I was nominated as a TPC member of ICDCS 2025.
[June 2024] Recently, I was nominated as a TPC member of IWQoS 2024, ICPADS 2024, and WiOpt 2024.
[Sept. 2023] Congratulations to Dr. Wang. Our paper is accepted by IEEE Transactions on Mobile Computing (CCF Tier-A Transactions).
[Mar. 2023] We are hosting a Special Issue on Federated Learning for Big Data Applications, IEEE Transactions on Big Data [CFP]. Submission Deadline: 1 Sept. 2023.
[Feb. 2023] Congratulations to Prof. Han and his group on the acceptance of “KRADA: Known-region-aware Domain Alignment for Openset Domain Adaptation in Semantic Segmentation” in Transactions on Machine Learning Research (TMLR), [PDF].
[Jan. 2023] Congratulations to Mai Su. Our paper is accepted by ACM Transactions on Multimedia Computing Communications and Applications (CCF B-Tier Transactions). Another good news is Mai Su will go to PKU to persue his doctor degree.
[Oct. 2022] We are organizing the Special Issue on Interplay Between Machine Learning and Networking Systems, IEEE Network [CFP]. Submission Deadline (overdue): 20 Jan. 2023.

➾ Key Information

If you are interested in the scientific research/engineering on the topic of distributed machine learning and its applications, networks security and privacy, and cloud computing and IoTs, please contact me at zengrf at swc.neu.edu.cn or B420E of Information Building. The students with solid coding/mathematics foundation and perseverance are appreciated. If you would like to join us, please feel free to contact me.
We are still looking for highly self-motivated PhD and graduate students this year.

➳ Working Experience & Education

❄ Jun. 2021-Sep. 2021, Hong Kong Baptist University, Senior Research Fellow (Visiting Scholar) payed by HKBU
❄ Dec. 2020-Now, Computer Network and Information Center, CAS, Senior Research Fellow
❄ Mar. 2019-Now, Northeastern University, Associate Professor
❄ Oct. 2015-Feb. 2019, China Securities Ltd., Chief Analyst
❄ Jul. 2012-Sep. 2015, Beijing Information Research Center, Engineer
❄ Aug. 2006-Jun. 2012, Tsinghua University, Master's Degree and Ph.D
❄ Aug. 2002-Jun. 2006, Northeastern University, Bachelor's Degree

➺ Selected Projects

❄ The Study of Access Mechanism for Joint Cloud Computing, National Key Research and Development Program, PI, 2022.11-2025.11
❄ The Performance of Federated Learning in MEC, Fundamental Research Funds for the Central Universities, PI, 2022.1-2023.12
❄ The Network Communication Optimization for Federated Learning, NSFC(62172083), PI, 2022.1-2025.12.
❄ Machine Learning-based Approach to Attack Detection for JSP Web Sehll, CSDC Corporation Ltd., PI, 2021.4-2022.5.
❄ Machine Learning in Prognosis of Industrial Process, Liaoning NSFC, PI, 2020.5-2021.5.
❄ Federated Learning and its Security, Fundamental Research Funds for the Central Universities, PI, 2020.1-2020.12.
❄ Towards Accountable Schemes in ICN, NSFC for Young Scholars (61502460), PI, 2016.1-2018.12.
❄ Network Economic Model and Analysis, Huawei Initiative Plan, PI, 2015.1-2015.12.

➵ Selected Publications

❄ X. Wang, X. Wang, R. Zeng, L. Ma, and R. Yu, "Truthful Auction-based Resource Allocation Mechanisms with Flexible Task Offloading in Mobile Edge Computing," IEEE Transactions on Moible Computing, 2023. (CCF Tier-A Transactions, Corresponding author)
❄ C. Zhou, F. Liu, C. Gong, R. Zeng, T. Liu, W. Cheung, and B. Han, “KRADA: Known-region-aware Domain Alignment for Openset Domain Adaptation in Semantic Segmentation,” Transactions on Machine Learning Research (TMLR), 2023. [PDF]
❄ R. Zeng, M. Su, R. Yu, and X. Wang, “CD2: Fine-grained 3D Mesh Reconstruction with Twice Chamfer Distance”, ACM ToMM, 2023. (CCF Tier-B Transactions). [PDF]
❄ R. Zeng, C. Zeng, X. Wang, B. Li, and X. Chu, “Incentive Mechanism for Federated Learning and Game-Theoretical Approach”, IEEE Network, 2022. (Q1 Journal, IF: 10.693) [PDF]
❄ R. Zeng, C. Zeng, X. Wang, B. Li, and X. Chu, “A Comprehensive Survey of Incentive Mechanism for Federated Learning”, arXiv preprint arXiv:2106.15406, 2021. [PDF]
❄ R. Zeng, S. Zhang, J. Wang, and X. Chu, “FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC”, in Proc. of IEEE ICDCS, 2020. (CCF Tier-B Conference, Acceptance Rate: 105/584=18%) [PDF]
❄ R. Zeng, Y. Jiang, C. Lin, Y. Fan, and X. Shen, “A Distributed Fault/Intrusion-Tolerant Sensor Data Storage Scheme Based on Network Coding and Homomorphic Fingerprinting”, IEEE Trans. on Parallel and Distributed Systems (TPDS), vol. 23, no. 10, pp. 1819-1830, Oct. 2012. (Impact Factor: 3.971, CCF Tier-A Journal) [PDF]
❄ R. Zeng, Y. Jiang, C. Lin, and X. Shen, “Dependability Analysis of Control Center Networks in Smart Grid”, IEEE Trans. on Parallel and Distributed Systems (TPDS), vol. 23, no. 9, pp. 1721-1730, Sept. 2012. (Impact Factor: 3.971, CCF Tier-A Journal) [PDF]
❄ R. Zeng, Y. Jiang, C. Lin, Y. Fan, and X. Shen, “A Scalable and Robust Key Pre-distribution Scheme with Network Coding for Sensor Data Storage”, Computer Networks (Elsevier), vol. 55, no. 10, pp. 2534- 2544, July 2011. (Impact Factor: 2.522, CCF Tier-B Journal) [PDF]
❄ C. Lin, R. Zeng, L. Lei, Z. Xiao, “Research on QoS of B3G Systems”, Journal of Software, vol. 19, no. 1, pp. 90-102, Jan. 2008. (In Chinese, CCF Tier-A Chinese Journal) [PDF]

➸ Academic Services

Technical Program Committee, IEEE HPCC, 2021
Technical Program Committee, IEEE ICPADS, 2021-2022
Reviewer of IEEE Network Magazine, 2021-2023
Reviewer of Mobile Networks and Applications (MONE), 2020
Technical Program Committee, IEEE ICCC, 2019-2022

➲ My Students & Alumni

Yufei Liu (MSc; Supervisor; Federated Learning; Guaranteed Admission from NEU)
Shouyi Zhang (MSc; Supervisor; Machine Learning; Guaranteed Admission from NEU)
Yuyan Sun (MSc; Supervisor; CPS Security; Guaranteed Admission from NEU)
Mingyang Zhao (MSc; Supervisor; Federated Learning)
Shenghan Zhang (MSc; Supervisor; Machine Learning)
Jiaxuan He (MSc; Supervisor; Federated Learning; Guaranteed Admission from NEU)
Zhipeng Yang (MSc; Supervisor; Deep Learning; Guaranteed Admission from NEU)
Jinghui Chen (MSc; Supervisor; Distributed Machine Learning; Guaranteed Admission from NEU)
Tianyu Han (MSc; Supervisor; Distributed Machine Learning; Guaranteed Admission from NEU)

Shixun Zhang (MSc; Graduated; China Railway Construction Electrification Bureau Group)
Chao Zeng (MSc; Graduated; Ph.D Candidate in NEU)
Sheng Tang (MSc; Graduated; Huawei Dong Guan)
Jiaqi Wang (MSc; Graduated; Government Officer)
Mai Su (MSc; Graduated; Ph.D Candidate in PKU)
Chenyang Jiang (MSc; Graduated; Alibaba Cloud Inc.)
Shuyang An (MSc; Graduated; Kaishou Inc.)
Yuxin Wang (MSc; Graduated; Tianjian Customs)
Huan Yao (MSc; Graduated; Baidu Inc.)