Jeong Min Kong


Jeong Min Kong

I am a PhD student in Electrical and Computer Engineering at UCLA and an Amazon AI PhD Fellow. I received my BASc and MASc in Electrical and Computer Engineering from the University of Toronto in 2022 and 2024, respectively. I focus on developing continual learning algorithms and designing effective and efficient cooperation schemes for intelligent multi-agent systems.

Email - jeongminkong [at] ucla.edu | Curriculum Vitae - PDF


Publications

J. M. Kong, E. Kim, and I. P. Roberts, "Satellite Assignment Policy Learning for Coexistence in LEO Networks", MILCOM 2025 - 2025 IEEE Military Communications Conference (MILCOM), Los Angeles, CA, USA, 2025, pp. 1-5.

PDF
____________________________________________________________

J. M. Kong and I. P. Roberts, "Active Beam Learning for Full-Duplex Wireless Systems", 2024 Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2024, pp. 1-5.

PDF
____________________________________________________________

J. M. Kong and E. Sousa, "Piggybacking on UAV Package Delivery Systems to Simultaneously Provide Wireless Coverage: A Deep Reinforcement Learning-Based Trajectory Design", 2024 IEEE Conference on Computer Communications (INFOCOM) Workshops, Vancouver, BC, Canada, 2024, pp. 1-6.

PDF
____________________________________________________________

J. M. Kong and E. Sousa, "Adaptive Ratio-Based-Threshold Gradient Sparsification Scheme for Federated Learning", 2023 International Symposium on Networks, Computers and Communications (ISNCC), Doha, Qatar, 2023, pp. 1-5.

PDF
____________________________________________________________

J. M. Kong and K. Wimmer, "Identification of β- Decay in 8- Isomer 136 Cs and Possibilities of Unknown States in 136 Ba", To be submitted after related experiments are completed at Institut Laue-Langevin.
____________________________________________________________