We are actively looking for self-motivated Ph.D., M.S., Ph.D./M.S.-integrated, and undergraduate students! Students who are interested in networks, AI, or both are very welcome. If you are interested in joining UNILab, please feel free to contact Prof. JinYi Yoon (jinyiyoon@inha.ac.kr).
2026년도 여름방학 학부연구생을 모집하고 있습니다. 관심 있는 학생은 학과 홈페이지 공지사항 통해서 신청 (5월 29일 금요일까지) 또는 제 이메일로 면담 신청 (상시) 바랍니다.
How to support AI on networked systems
On-device/Edge AI
Distributed/Parallel AI
Multi-modal Models, LLMs, and Multi-agent LLMs
Contextual AI
Federated/Split/Transfer Learning
Efficient/Scalable AI Systems
AI Assistants on Smartglasses and XR
How to leverage AI for network problems
AI-driven/powered/native Networked Systems
Intelligent Edge Computing
Few-shot/Continual/Self-supervised Learning
Explainable and Trustworthy AI
Intelligent Indoor Localization
Network Security and Privacy
Wireless Ad-hoc Networks (including VANETs and FANETs)
May 2026: Our paper entitled "Motion in the Clear: Reconstructing VR User Behavior from Network Traffic," has been accepted to USENIX Security 2026 (BK 3, KIISE S).
May 2026: Our paper entitled "P3SL: Personalized Privacy-Preserving Split Learning on Heterogeneous Edge Devices" has been accepted to IEEE Transactions on Network Science and Engineering (TNSE) 2026 (IF 7.9, Top 3.1% SCIE, JCR 2024).
May 2026: Our paper entitled "EyeCue: Driver Cognitive Distraction Detection via Gaze-Empowered Egocentric Video Understanding" has been accepted to IJCAI-ECAI 2026 (BK 4, KIISE A).
April 2026: Prof. Yoon is invited to serve as a TPC member for INFOCOM 2027 (BK 4, KIISE S).
April 2026: Prof. Yoon is invited to serve as an organizing committee member for the ACM Workshop on ImmerCom 2026, in conjunction with ACM MobiCom 2026.
February 2026: Our website is now live!
JiHo Lee, JinYi Yoon, Tijay Chung, Brendan David-John, and Bo Ji, "Motion in the Clear: Reconstructing VR User Behavior from Network Traffic," Proceedings of USENIX Security, 2026. (BK 3, KIISE S)
Wei Fan, JinYi Yoon, Xiaochang Li, Huajie Shao, and Bo Ji, "P3SL: Personalized Privacy-Preserving Split Learning on Heterogeneous Edge Devices," IEEE Transactions on Network Science and Engineering (TNSE). (IF 7.9, Top 3.1% SCIE, JCR 2024)
Lang Zhang, JinYi Yoon, Matthew Corbett, Abhijit Sarkar, and Bo Ji, “EyeCue: Driver Cognitive Distraction Detection via Gaze-Empowered Egocentric Video Understanding,” Proceedings of International Joint Conference on Artificial Intelligence-European Conference on Artificial Intelligence (IJCAI-ECAI), 2026. (BK 4, KIISE A)
Wei Fan, JinYi Yoon, and Bo Ji, "iMAD: Intelligent Multi-Agent Debate for Efficient and Accurate LLM Inference," Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2026. (Oral Presentation) (BK 4, KIISE S)
JinYi Yoon and HyungJune Lee, "CollectiveFL: Edge-to-Edge Collective Intelligence Transfer in Federated Continual Learning," Proceedings of IEEE International Conference on Mobile Ad-Hoc and Smart Systems (IEEE MASS), 2025. (BK 1, KIISE A)
JinYi Yoon, JiHo Lee, Ting He, Nakjung Choi, and Bo Ji, "S2M3: Split-and-Share Multi-Modal Models for Distributed Multi-Task Inference on the Edge," Proceedings of IEEE International Conference on Distributed Computing Systems (IEEE ICDCS), 2025. (BK 3, KIISE A)
Yeawon You, JinYi Yoon, Dayeon Kang, Jeewoon Kim, and HyungJune Lee, "CollageMap: Tailoring Generative Fingerprint Map via Obstacle-Aware Adaptation for Site-Survey-Free Indoor Localization," Proceedings of IEEE Pervasive Computing and Communications (IEEE PerCom), 2025. (BK 3, KIISE A)
Kazi Hasan Ibn Arif, JinYi Yoon, Dimitrios S. Nikolopoulos, Hans Vandierendonck, Deepu John, and Bo Ji, "HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models," Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2025. (BK 4, KIISE S)
JinYi Yoon, Yeawon You, Dayeon Kang, Jeewoon Kim, and HyungJune Lee, "GAN-Loc: Empowering Indoor Localization for Unknown Areas via Generative Fingerprint Map," Proceedings of IEEE International Conference on Sensing, Communication, and Networking (IEEE SECON), 2024. (BK 1, KIISE A)
JinYi Yoon and HyungJune Lee, "Pick-a-back: Selective Device-to-Device Knowledge Transfer in Federated Continual Learning," Proceedings of The European Conference on Computer Vision (ECCV), 2024. (BK 2, KIISE S)
JinYi Yoon, Jeewoon Kim, Yeongsin Byeon, and HyungJune Lee, "VersatileFL: Volatility-Resilient Federated Learning in Wireless Edge Networks," Proceedings of IEEE International Conference on Sensing, Communication, and Networking (IEEE SECON), 2023. (BK 1, KIISE A)
JinYi Yoon, Yeongsin Byeon, Jeewoon Kim, and HyungJune Lee, "EdgePipe: Tailoring Pipeline Parallelism with Deep Neural Networks for Volatile Wireless Edge Devices," IEEE Internet of Things Journal (IoT-J), Vol. 9, no. 14, pp. 11633-11647, Jul 2022.
JinYi Yoon and HyungJune Lee, "PUFGAN: Embracing a Self-Adversarial Agent for Building a Defensible Edge Security Architecture," Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), 2020.