My research focuses on multimodal machine learning and video systems and efficient mobile and streaming system design. Representative topics:
| Title | Authors | Publication | Links | Description / Others |
|---|---|---|---|---|
| World Models with Signals | Kyoungjun Park, Shicheng Zheng, Yifan Yang, Lili Qiu, Junbo Li, Xinyi Fu, Xiaomeng Li | In Submission! | [project] | Combining video diffusion with Wi-Fi and Lidar signal embeddings. |
| RF Signal Generation using Image Diffusion | Kyoungjun Park, Yifan Yang, Changhan Ge, Lili Qiu, Shiqi Jiang | In Submission! | [project] | Generating RSSI prediction heatmaps using stable diffusion with RF conditioning. |
| VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL | Kyoungjun Park, Yifan Yang, Juheon Yi, Shicheng Zheng, Muhammad Muaz, Yifei Shen, Dongqi Han, Caihua Shan, Lili Qiu | ICLR 2026 | [paper] | MLLM-based detector combining chain-of-thought reasoning and reinforcement learning (GRPO). |
| Joint Optimization of Handoff and Video Rate in LEO Satellite Networks | Kyoungjun Park, Zhiyuan He, Cheng Luo, Yi Xu, Lili Qiu, Changhan Ge, Muhammad Muaz | IEEE INFOCOM 2026 | [paper] | RL-based optimization for satellite video streaming with centralized training and distributed inference. |
| Real-Time Neural Video Recovery and Enhancement on Mobile Devices | Zhaoyuan He, Yifan Yang, Lili Qiu, Kyoungjun Park, Yuqing Yang | ACM CoNEXT 2024 | [paper] |  |
| NeuSaver: Neural Adaptive Power Consumption Optimization for Mobile Video Streaming | Kyoungjun Park, Myungchul Kim, Laihyuk Park | IEEE TMC 2022 | [paper] |  |
| EVSO: Environment-aware Video Streaming Optimization of Power Consumption | Kyoungjun Park, Myungchul Kim | IEEE INFOCOM 2019 | [paper] |  |
| Energy-efficient Mobile Charging for Wireless Power Transfer in Internet of Things Networks | Woongsoo Na, Junho Park, Cheol Lee, Kyoungjun Park, Joongheon Kim, Sungrae Cho | IEEE IoT Journal 2017 | [paper] |  |
