Hi! I'm Jiasi Chen, an assistant 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 machine learning, 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 Finalist at ACM SenSys (2019), and the Hellman Fellowship (2017). I'm also a co-founder and help advise our wonderful ACM-Women chapter here at UCR. See my CV for more details.
Email: jiasi [at] cs [dot] ucr [dot] edu
Office: WCH 327
Office hours: Friday 2-3pm (Winter 2020)
Names of my students (or co-advised students) are underlined.
Shengxin Liu, Carlee Joe-Wong, Jiasi Chen, Christopher Brinston, Chee Wei Tan, Liang Zheng, "Economic Viability of Virtual ISP", IEEE Transactions on Networking, to appear.
Ahmet Dermikaya, Jiasi Chen, Samet Oymak, "Exploring the Role of Loss Functions in Multiclass Classification", IEEE CISS, to appear.
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.
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 award finalist) [pdf][slides]
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]
Xukan Ran, Haoliang Chen, Xiaodan Zhu, Zhenming Liu, Jiasi Chen, "DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics", IEEE INFOCOM, 2018. (19% acceptance rate, best presentation in session award) [pdf][slides]
Carlee Joe-Wong, Liang Zheng, Jiasi Chen, "Oligopoly Pricing in Wireless Networks", book chapter: Encyclopedia of Wireless Networks, eds. Xuemin Shen, Xiaodong Lin, Kuan Zhang. Springer (in press). [Table of Contents]
Suzan Bayhan, Liang Zheng, Jiasi Chen, Mario Di Francesco, Jussi Kangasharju, Mung Chiang, "Improving Cellular Capacity with White Space Offloading", WiOpt, 2017. [pdf]
Liang Zheng, Jiasi Chen, Carlee Joe-Wong, Chee Wei Tan, Mung Chiang, "An Economic Analysis of Wireless Network Infrastructure Sharing", WiOpt, 2017. [pdf]
Kittipat Apicharttrisorn, Ahmed Osama Fathy Atya, Jiasi Chen, Karthikeyan Sundaresan, and Srikanth V. Krishnamurthy, "Enhancing WiFi Throughput With PLC Extenders: A Measurement Study", Passive and Active Measurement Conference (PAM), 2017. (23% acceptance rate) [pdf]
Liang Zheng, Carlee Joe-Wong, Jiasi Chen, Christopher G. Brinton, Chee Wei Tan, Mung Chiang, "Economic Viability of a Virtual ISP", IEEE INFOCOM, 2017. (21% acceptance rate) [pdf]
Michael Wang, Jiasi Chen, Ehsan Aryafar, and Mung Chiang, "A Survey of Client-Controlled HetNets for 5G" (invited), IEEE Access, 2017. [pdf]
Tao Lin, Hongjia Li, Haiyong Xie, Jiasi Chen, Huajun Cui, Guoqiang Zhang, Wei An, Yang Li, "Performance and Implications of RAN Caching in LTE Mobile Networks: a Real Traffic Analysis", IEEE SECON, 2016. [pdf]
A few of my other interests (outside of research!) from past and present: