I have successfully defended my PhD thesis at the Computer Science Department at Carnegie Mellon University. I was advised by Vyas Sekar and Hui Zhang. Before CMU, I received Bachelor Degree in Computer Science from Yao Class at Tsinghua in 2011.

My research interests are computer networks, distributed systems, large-scale data analytics, and cloud computing.

I will be joining University of Chicago CS Department as an Assistant Professor in July 2018.
[Curriculum Vitae] [Research Statement]

I am looking for self-motivated students to work with me at UChicago. Please apply here and mention my name in the application. Feel free to drop me an email with your CV.

PhD Thesis

Enabling Data-Driven Optimization of Quality of Experience in Internet Applications, Carnegie Mellon University, July 2017

Winner of the CMU SCS Doctoral Dissertation Award and nomination for ACM Dissertation Award.

Research Vision

The vision of my research is to optimize complex networked systems by machine learning techniques. In my PhD thesis work, I have demonstrated that this approach can dramatically improve the quality of Internet applications. However, the potential of this confluence between systems and machine learning goes far beyond Internet applications.

PhD Research: My dissertation demonstrates that data-driven techniques can improve Quality of Experience (QoE) of video streaming (YouTube) and Internet telephony (Skype) by utilizing a centralized real-time view of performance across millions of clients.

Impact: CFA and VIA have been used in industry by Conviva and Skype, companies that specialize in QoE optimization for video streaming and VoIP, respectively.

Recent Talks

May 2017: My doctoral dissertation: Enabling Data-Driven Optimization of Quality of Experience in Internet Applications

March 2017: "Pytheas: Enabling Data-Driven Quality of Experience Optimization Using Group-Based Exploration-Exploitation", in NSDI 2017, Boston, USA

Other Selected Projects

FESTIVE

[CoNEXT '12] "Improving Fairness, Efficiency, and Stability in HTTP-based Adaptive Video Streaming with FESTIVE" J. Jiang, V. Sekar, H. Zhang (Best Paper Runner-up, Fast-tracked to IEEE/ACM Transaction on Networking)

Conventional wisdom has been that TCP can ensure fairness among the video sessions sharing bottleneck links, but my research showed otherwise: these sessions could suffer from unfair, unstable quality, and inefficient bandwidth utilization, due to the behaviors of video streaming protocols. Building on this observation, I developed FESTIVE, the first HTTP-based video player that simultaneously improved fairness, stability, and efficiency over many commercial players. FESTIVE has inspired enormous work in industry and academia to further improve along these metrics.

EONA

[HotNets '14] "EONA: Experience-Oriented Network Architecture" J. Jiang, V. Sekar, X. Liu, I. Stoica, H. Zhang

Ecosystems of Internet applications are complex and federated. While any subsystem on the delivery chain, such as Comcast and Akamai, can impact end-to-end QoE, most of these subsystems cannot directly observe the impact on QoE as they change their configurations. This creates great room for improvement by aligning these subsystems with the end-to-end application QoE. Experience-Oriented Network Architecture (EONA) aims at bridging this gap by letting all subsystems along the delivery path be aware of the end-to-end QoE.

Recent Publications

A complete list of my publications is in CV.

Click here for earlier publications, journal articles, and technical reports.