Jeong Min Kong


Jeong Min Kong

I am a PhD student in Electrical and Computer Engineering at UCLA. I received my BASc and MASc in Electrical and Computer Engineering from the University of Toronto in 2022 and 2024, respectively. My primary research interest lies in machine learning, including its application to wireless communication and sensing.

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.

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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.

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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.

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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.

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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.
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