About

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. See my CV for more details.

My general research area is multimedia networking, with particular focus on the wireless and machine learning aspects. Recently, I've been interested in the network and systems challenges of augmented and virtual reality. My projects typically involve some combination of mathematical optimization and systems implementation on real testbeds. I'm also a co-founder and help advise our wonderful ACM-Women chapter here at UCR.

Email: jiasi [at] cs [dot] ucr [dot] edu
Office: WCH 327
Office hours: Friday 2-3pm (Winter 2020)

News

• 1/2020: Received an NSF CAREER award on networked AR for mobile devices.
• 11/2019: Our SenSys'19 paper was one of five best paper award finalists.
• 10/2019: Gave a keynote talk and served on the distinguished experts panel at the CNSM conference. Also gave a talk at the Dalhousie University seminar series.
• 09/2019: Our ACM HotNets paper on multi-user AR communications is accepted. Congrats Xukan!
• 08/2019: Our Proceedings of the IEEE survey paper on deep learning at the edge is now published.

Publications

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

2019

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 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]

2018

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]

2017

Shahryar Afzal, Jiasi Chen, K.K. Ramakrishnan, "Characterization of 360-degree videos", ACM SIGCOMM Workshop on Virtual and Augmented Reality Network, 2017. [pdf] [slides]

Xukan Ran, Haoliang Chen, Zhenming Liu, Jiasi Chen, "Delivering deep learning to mobile devices via offloading", ACM SIGCOMM Workshop on Virtual and Augmented Reality Network, 2017. [pdf][slides]

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]

2016

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]

Pre-2016

See DBLP or Google Scholar.

Students

Current Students

• Shahryar Afzal (PhD, joint project with K.K. Ramakrishnan)
• Kittipat (Patrick) Apicharttrisorn (PhD, co-advised with Srikanth Krishnamurthy)
• Xukan Ran (PhD)
• Carter Slocum (PhD)
• Yi-Zhen (Angela) Tsai (PhD)

Alumni

• Haoliang Chen (MS), SoundHound
• Japneet Kaur (BS)
• Daniel Handojo (BS)
• Emilio Segovia (BS), Western University of Health Sciences
• David Zhou (BS), Amazon

Teaching

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

Fun

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

• Piano: I'm way out of practice, but here's a quick duet with my teacher [video]. I played for 10 years up until university, and have a diploma in piano performance from the Royal Conservatory of Music.
• Lion dance: I was part of Columbia University Lion Dance back in college. Here's a short video clip of me playing around in a lion head.
• My spouse is Samet Oymak, who's in the ECE dept at UCR. His office is just down the hall from mine, which is both a blessing and a curse :) He's moved now to another building!
• xkcd favorites: Sandwich, Widsom of the Ancients
• My favorite motivational music for working is Lindsey Stirling.