Hi! I'm Jiasi Chen, an associate professor in the Department of Computer Science and Engineering at the University of California, Riverside. I received my Ph.D. from Princeton University in 2015 (advisor Mung Chiang) and my B.S. from Columbia University. My hometown is the lovely city of Halifax, Canada.

My research interests include edge computing, video analytics, augmented/virtual reality (AR/VR), and mobile systems. My projects typically involve some combination of mathematical optimization and systems implementation on real testbeds. I am a recipient of the NSF CAREER award (2020), Best Paper Finalists at ACM SenSys (2019) and IEEE SECON (2020), and the Hellman Fellowship (2017). I'm also a co-founder of our wonderful ACM-Women chapter and the Equity Advisor for the Bourns College of Engineering. See my CV for more details.

Email: jiasi [at] cs [dot] ucr [dot] edu
Office: WCH 327


  • 9/2021: Received a gift from Facebook on AR security, with Prof. Nael Abu-Ghazaleh.
  • 9/2021: Kittipat and Xukan successfully defended their PhDs! Congrats Dr. Apicharttrisorn and Dr. Ran. Kittipat joins CMU as a post-doc, and Xukan joins Qualcomm R&D. Welcome also to Yunshu Wang, a new PhD student!
  • 7/2021: Now an associate professor :)
  • 4/2021: Selected as a faculty-student team to work on the AURORA XR battlefield project this summer, with ARL-West.
  • 1/2021: Received a research gift from AT&T Labs Research on ORAN control for XR, and a Best Practices grant from the Center for Inclusive Computing (co-PI).

Recent Publications

Names of my students or co-advised students are underlined.


Wangyu Choi, Jiasi Chen, Jongwong Yoon, "ABRaider: Multi-Phase Reinforcement Learning for Environment-Adaptive Video Streaming", IEEE ACCESS, 2022.

Timothy Scargill, Shreya Hurli, Jiasi Chen, Maria Gorlatova, "Here To Stay: A Quantitative Comparison of Virtual Object Stability in Markerless Mobile AR", Workshop on Cyber-Physical Human System Design and Implementation (at CPS-IoT week), 2022.

Yi-Zhen Tsai, Jiasi Chen, "Network-side 5G mmWave Channel Signatures for Pandemic Contact Tracing", to appear in IEEE ICC, 2022.


Carter Slocum, Xukan Ran, Jiasi Chen, "RealityCheck: A Tool to Evaluate Spatial Inconsistency in Augmented Reality", IEEE ISM, 2021. [pdf][slides][code]

Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak, "AutoBalance: Optimized Loss Functions for Imbalanced Data", NeurIPS, 2021. [pdf]

Xuechen Zhang, Samet Oymak, Jiasi Chen, "Post-hoc Models for Performance Estimation of Machine Learning Inference", [arXiv].

Tim Scargill, Jiasi Chen, Maria Gorlatova, "Here To Stay: Measuring Hologram Stability in Markerless Smartphone Augmented Reality", [arXiv].

Carter Slocum, Jingwen Huang, Jiasi Chen, “VIA: Visibility-aware Web-based Virtual Reality”, ACM Web3D, 2021. [pdf][slides]

Hisham Alhulayyil, Jiasi Chen, Karthik Sundaresan, Srikanth Krishnamurthy, "Boosting Home WiFi Throughputs via Adaptive DAS Clustering of PLC Extenders" (invited), IEEE MASS, 2021.

Timothy James Scargill, Shreya Hurli, Jiasi Chen, Maria Gorlatova, "Will it Move?: Indoor Scene Characterization for Hologram Stability in Mobile AR" (demo), ACM HotMobile, 2021.

Moustafa Abdelbaky, Jiasi Chen, Alexander Fedin, Kenneth Freeman, Mohana Gurram, Abraham Ishihara, Carlee Joe-Wong, Christopher Knight, Kalmanje Krishnakumar, Isaias Reyes, Calvin Robinson, Peter Shannon, Sandeep Shetye, Luka Tomljenovic, William Van Dalsem, "DRF: A Software Architecture for a Data Marketplace to Support Advanced Air Mobility", AIAA AVIATION Forum, 2021.


Xukan Ran, Carter Slocum, Yi-Zhen Tsai, Kittipat Apicharttrisorn, Maria Gorlatova, Jiasi Chen, "Multi-User Augmented Reality with Communication Efficient and Spatially Consistent Virtual Objects", ACM CoNEXT, 2020. [pdf][slides]

Yuan Zhao, Jiasi Chen, Samet Oymak, "On the Role of Dataset Quality and Heterogeneity in Model Confidence", ICML Workshop on Uncertainty and Robustness in Deep Learning, 2020. [arxiv]

Ha-Ryung Kim, Jiasi Chen, Jongwon Yoon, "Joint User Clustering and Beamforming in Non-Orthogonal Multiple Access Networks", IEEE ACCESS, 2020. [pdf]

Shahryar Afzal, Jiasi Chen, K.K. Ramakrishnan, "Viewing the 360-degree Future: Trade-Off Between User Field-of-View Prediction, Network Bandwidth, and Delay", IEEE ICCCN, 2020. [pdf][video presentation]

Hisham Alhulayyil, Kittipat Apicharttrisorn, Jiasi Chen, Karthik Sundaresan, Samet Oymak and Srikanth Krishnamurthy, "WOLT: Auto-Configuration of Integrated Enterprise PLC-WiFi Networks", IEEE ICDCS, 2020. (18% acceptance rate) [pdf]

Kittipat Apicharttrisorn, Bharath Balasubramanian, Jiasi Chen, Rajarajan Sivaraj, Yi-Zhen Tsai, Rittwik Jana, Srikanth Krishnamurthy, Tuyen Tran, Yu Zhou, "Characterization of Multi-User Augmented Reality over Cellular Networks", IEEE SECON, 2020 (best paper runner up). [pdf][slides]

Shengxin Liu, Carlee Joe-Wong, Jiasi Chen, Christopher Brinton, Chee Wei Tan, Liang Zheng, "Economic Viability of a Virtual ISP", IEEE Transactions on Networking, 2020. [pdf]

Ahmet Dermikaya, Jiasi Chen, Samet Oymak, "Exploring the Role of Loss Functions in Multiclass Classification", IEEE CISS, 2020. [pdf]

Guoqiang Zhang, Yue Wu, Xu Han, Qian Gao, Jiasi Chen, "Exploiting the layer correlation to improve DASH scheduling with scalable video coding", Computer Networks, 2020.


Xukan Ran, Carter Slocum, Maria Gorlatova, Jiasi Chen, "ShareAR: Communication-efficient Multi-User Mobile Augmented Reality", ACM HotNets, 2019. (20% acceptance rate) [pdf][slides]

Kittipat Apicharttrisorn, Xukan Ran, Jiasi Chen, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, "Frugal Following: Power Thrifty Object Detection and Tracking for Mobile Augmented Reality", ACM SenSys, 2019. (19% acceptance rate, best paper finalist) [pdf][slides][code]

Jiasi Chen, Xukan Ran, "Deep Learning with Edge Computing: A Review", Proceedings of the IEEE, 2019. (impact factor: 10.694) [pdf]

Samet Oymak, Mehrdad Madavi, Jiasi Chen, "Learning Feature Nonlinearities with Non-Convex Regularized Binned Regression", IEEE ISIT, 2019. [arxiv]

Jiasi Chen, Bharath Balasubramanian, Zhe Huang, "Liv(e)-ing on the Edge: User-Uploaded Live Streams Driven by “First-Mile” Edge Decisions", IEEE EDGE, 2019. [pdf]


See DBLP or Google Scholar.


Current Students

  • Carter Slocum (PhD)
  • Yi-Zhen (Angela) Tsai (PhD)
  • Yunshu Wang (PhD)
  • Xuechen Zhang (PhD, co-advised with Samet Oymak)


  • Shahryar Afzal (MS), Bloomberg
  • Kittipat (Patrick) Apicharttrisorn (PhD, co-advised with Srikanth Krishnamurthy), post-doc at CMU
  • Haoliang Chen (MS), SoundHound
  • Tandy Dang (BS)
  • Japneet Kaur (BS)
  • Daniel Handojo (BS), Safran Passenger Innovations
  • Jingwen Huang (BS)
  • Elijah Nicasio (MS)
  • Gopal Nookula (BS)
  • Xukan Ran (PhD), Qualcomm R&D
  • Emilio Segovia (BS), Western University of Health Sciences
  • David Zhou (BS), Amazon


  • ENGR001: Professional Development and Mentoring, Fall 2017
  • CS135: Virtual Reality, Spring 2018 (draft syllabus), Fall 2018, Winter 2019, Fall 2019, Spring 2020, Fall 2020, Winter 2021, Fall 2021, Winter 2021
  • CS179i: Project in Computer Science (Networks), Winter 2016, Winter 2017, Winter 2018
  • CS190: Apprentice Teaching for Undergraduates, Fall 2021
  • CS204: Advanced Computer Networks, Spring 2016, Spring 2017, Spring 2019, Spring 2020, Spring 2021, Spring 2022
  • CS260: Seminar in Multimedia Networking, Winter 2017


A few of my other interests (outside of research!) from past and present: