Juhyeon Lee

I am a first-year Ph.D. student in Computer Science at the University of Massachusetts Amherst. I joined the AHHA Lab, advised by Prof. Sunghoon Ivan Lee.

My research interests:

  • Health Analytics
  • Machine learning: Deep learning, Reinforcement learning

I worked as a research engineer at Robotics Lab., CTO division, LG Electronics for about five years (from July 2014 to March 2019). I received the M.S. degree in Electrical Engineering from Korea Advanced Institute of Science and Technology (KAIST) and the B.S. degree in Electronics Engineering from Ewha Womans University.

My CV [pdf]

My LinkedIn profile [link]


News

Our paper "Intelligent IoT Connectivity: Deep Reinforcement Learning Approach" is accepted for publication in IEEE Sensors Journals. [link]

Publications

[1] Minhae Kwon*, Juhyeon Lee*, Hyunggon Park, "Learning To Activate Relay Nodes: Deep Reinforcement Learning Approach", Neural Information Processing Systems (NeurIPS) Deep Reinforcement Learning Workshop, 2018. (*equal contribution) [arxiv]

[2] Minhae Kwon*, Juhyeon Lee*, Hyunggon Park, "Self-activating Relay Nodes for Emergent Communications", Neural Information Processing Systems (NeurIPS) Emergent Communication Workshop, 2018. (*equal contribution) [arxiv]

[3] Juhyeon Lee, Jae Hyun Lim, Hyungwon Choi, Dae-Shik Kim. "Multiple Kernel Learning with Hierarchical Feature Representations", In Proceedings of International Conference on Neural Information Processing (ICONIP), 2013. [pdf]

[4] Jun-Cheol Park, Jae Hyeon Yoo, Juhyeon Lee, Dae-Shik Kim. "Apparent Volitional Behavior Selection Based on Memory Predictions", In Proceedings of International Conference on Neural Information Processing (ICONIP), 2012. [pdf]