PhD (Zhejiang University)

BE (Zhejiang University)

Jinke Ren received the B.Eng. and Ph.D. degrees from Zhejiang University, Hangzhou, China. From 2019 to 2021, he was a Joint-Training Ph.D. student in the Department of Electrical and Computer Engineering at Northwestern University, Evanston, IL, USA. He is currently a Research Assistant Professor with the Shenzhen Future Network of Intelligence Institute (FNii-Shenzhen), the School of Science and Engineering (SSE), and the Guangdong Provincial Key Laboratory of Future Networks of Intelligence, The Chinese University of Hong Kong, Shenzhen, China. His current research interests are in machine learning, large language models, and agentic AI with applications to Internet-of-things and wireless networks.

Dr. Ren has published over 40 prestigious journal and conference papers, including IEEE Journal on Selected Areas in Communications (JSAC), IEEE Transactions on Wireless Communications (TWC), Nature Communications (NC), CVPR, NeurIPS, IJCAI, and AAAI, in which two journal papers were listed as ESI Highly-Cited Papers (Top 1%). He has also served as a Reviewer for over 20 international journals and conferences, such as IEEE JSAC, IEEE TWC, IEEE TMC, IEEE TCOM, and IEEE TNSE. He was a recipient of the Meritorious Winner Award of the International Mathematical Contest in Modeling (MCM) in 2016, the Exemplary Reviewer Award in IEEE Transactions on Communications in 2020 (Top 2%), the Top 8 Achievement Award in the Pitching Competition at IEEE ICASSP in 2024, and the Second Prize Award in China Robotics and Artificial Intelligence Competition (Guangdong) in 2024. He was listed in the World’s Top 2% Scientists by Stanford University and Elsevier for four consecutive years (2022-2025).

For the complete list of my publications, please refer to: https://scholar.google.com/citations?user=kr-mdlcAAAAJ&hl=en&oi=ao

Below is a list of selected publications:

Journal Papers (Selected)

[1] X. Zhang, W. Liu, J. Ren# (corresponding author), H. Xing, G. Gui, and Y. Shen, "Latency minimization for UAV-enabled federated learning: Trajectory design and resource allocation," IEEE Internet Things Journal, vol. 12, no. 14, pp. 27097-27112, Jul. 2025.

[2] Y. Lin, J. Ren# (corresponding author), J. Wang, N. Ma, Y. Zhang, and S. Cui, "Efficient and trusted federated unlearning for semantic knowledge base," SCIENTIA SINICA Inform., vol. 55, no. 6, pp. 1508-1521, Jun. 2025. [CCF-A]

[3] J. Ren, Y. Sun, H. Du, W. Yuan, C. Wang, X. Wang, Y. Zhou, Z. Zhu, F. Wang, and S. Cui, "Generative semantic communication: Architectures, technologies, and applications," Engineering, Jun. 2025.

[4] H. Xing*, R. Sun*, J. Ren*, J. Wei*, Z. Guo, Y. Wang, Y. Hu, W. Wei, X. Ban, C. Xie, S. Cui, X. Duan, and Z. Li, "FlexFair: Achieving flexible fairness metrics in federated learning for medical image analysis," Nature Communications, vol. 16, no. 1, p. 3342, Apr. 2025. 

[5] J. Ren, Z. Zhang, J. Xu, G. Chen, Y. Sun, P. Zhang, and S. Cui, “Knowledge base enabled semantic communication: A generative perspective,” IEEE Wireless Communications, vol. 31, no. 4, pp. 14-22, Aug. 2024.

[6] J. Ren, G. Yu, and G. Ding, “Accelerating DNN training in wireless federated edge learning systems,” IEEE Journal on Selected Areas in Communications, vol. 39, no. 1, pp. 219-232, Jan. 2021. [CCF-A]

[7] J. Ren, Y. He, D. Wen, G. Yu, K. Huang, and D. Guo, “Scheduling for cellular federated edge learning with importance and channel awareness,” IEEE Transactions on Wireless Communications, vol. 19, no. 11, pp. 7690-7703, Nov. 2020.

[8] J. Ren, Y. He, G. Huang, G. Yu, Y. Cai, and Z. Zhang, “An edge-computing based architecture for mobile augmented reality,” IEEE Network, vol. 33, no. 4, pp. 162-169, Jul./Aug. 2019.

[9] J. Ren, G. Yu, Y. He, and G. Y. Li, “Collaborative cloud and edge computing for latency minimization,” IEEE Transactions on Vehicular Technology, vol. 68, no. 5, pp. 5031-5044, May 2019. [ESI Highly Cited Paper]

[10] J. Ren, Y. Ruan, and G. Yu, “Data transmission in mobile edge networks: Whether and where to compress?” IEEE Communications Letters, vol. 23, no. 3, pp. 490-493, Mar. 2019.

[11] J. Ren, G. Yu, Y. Cai, and Y. He, “Latency optimization for resource allocation in mobile-edge computation offloading,” IEEE Transactions on Wireless Communications, vol. 17, no. 8, pp. 5506-5519, Aug. 2018. [ESI Highly Cited Paper]

Conference Paper (Selected)

[1] Y. Hu, Y. Han, R. Sun, J. Ren# (corresponding author), "MSPCaps: A multi-scale patchify capsule network with cross-agreement routing for visual recognition," in Proc. Annual AAAI Conference on Artificial Intelligence (AAAI), Singapore, 2026 (Accepted). [CCF-A]

[2] M. Lei, G. Wang, Y. Zhao, Z. Mai, Q. Zhao, Y. Guo, Z. Li, S. Cui, Y. Han, and J. Ren# (corresponding author), "CLEA: Closed-loop embodied agent for enhancing task execution in dynamic environments," in Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, 2025, pp. 1-7.

[3] W. Yuan, J. Ren# (corresponding author), R. Sun, Y. Han, and S. Cui, "Large semantic agents for wireless image transmission," in Proc. IEEE International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC), Surrey, United Kingdom, 2025, pp. 1-5

[4] W. Yuan, J. Ren# (corresponding author), C. Wang, R. Zhang, J. Wei, D. I. Kim, and S. Cui, "Generative semantic communication for joint image transmission and segmentation,"  in Proc. IEEE International Conference on Communications Workshop (ICC Workshop), Montreal, QC, Canada, Jun. 2025. 

[5] J. Zheng, J. Ren# (corresponding author), P. Xu, Z. Yuan, J. Xu, F. Wang, G. Gui, and S. Cui, "Generative semantic communication for text-to-speech synthesis," in Proc. IEEE Global Communications Conference Workshop (GLOBECOM Workshop), Cape Town, South Africa, Dec. 2024, pp. 1-6.

[6] Y. Lin, Z. Gao, H. Du, D. Niyato, G. Gui, S. Cui, and J. Ren# (corresponding author), “Scalable federated unlearning via isolated and coded sharding,” in Proc. International Joint Conference on Artificial Intelligence (IJCAI), Jeju, South Korea, Aug. 2024. [CCF-A]

[7] Z. Yuan, Y. Peng, J. Ren, Yi. Liao, Y. Han, C.-M. Feng, H. Zhao, G. Li, S. Cui, and Z. Li, "Empowering large language models with 3D situation awareness," in Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, Tennessee, United States, Jun. 2025. [CCF-A]

[8] Z. Yuan, J. Ren, C.-M. Feng, H. Zhao, S. Cui, and Z. Li, "Visual programming for zero-shot open-vocabulary 3D visual grounding," in Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Washington, United States, Jun. 2024, pp. 20623-20633. [CCF-A]

[9] J. Ren, Y. He, D. Wen, G. Yu, K. Huang, and D. Guo, "Importance and channel-aware scheduling in cellular federated edge learning," in Proc. Asilomar Conference on Signals, Systems, and Computers (ACSSC), Pacific Grove, CA, USA, Nov. 2020, pp. 1-5.

[10] J. Ren, Y. He, G. Yu, and G. Y. Li, “Joint communication and computation resource allocation for cloud-edge collaborative system,” in Proc. IEEE Conference on Wireless Communications and Networking (WCNC), Marrakesh, Morocco, Apr. 2019, pp. 1-6.

[11] J. Ren, G. Yu, Y. Cai, Y. He, and F. Qu, “Partial offloading for latency minimization in mobile-edge computing,” in Proc. IEEE Global Communications Conference (GLOBECOM), Singapore, Dec. 2017, pp. 1-6.