Junchen Jiang

Welcome! I joined the Dept. of Computer Science at The University of Chicago as an Assistant Professor in July 2018.

I got my PhD degree from Computer Science Department at Carnegie Mellon University in 2017. I was advised by Vyas Sekar and Hui Zhang. Before that, I received Bachelor degree in Computer Science from Yao Class at Tsinghua in 2011.

Research interests: networked systems. My research applies state-of-the-art machine learning techniques to drastically improve the performance and reliability of large-scale networked systems.

[Curriculum Vitae]

I'm 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.

Feel free to contact me too, if you are interested in internship opportunities in my group.

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.

Professional Activities

Program Committee: SIGCOMM (2019, 2020), NSDI (2021), CoNEXT (2018, 2019, 2020), ATC (2018, 2020), HotCloud (2018), APNet (2018, 2019), MMSys (2018, 2019)

Organizing Committee: SIGCOMM 2019 NetAI Workshop

Awards

Google Faculty Research Award, 2019

CMU SCS Doctoral Dissertation Award, 2017

Students

Xu Zhang on Internet QoE
Kuntai Du on video analytics
Zhengxu Xia on video analytics

Recent Publications

• Kuntai Du, Ahsan Pervaiz, Xin Yuan, Aakanksha Chowdhery, Qizheng Zhang, Henry Hoffmann, Junchen Jiang.
  Server-Driven Video Streaming for Deep Learning Inference [talk][code]
  SIGCOMM 2020


• Samvit Jain, Xun Zhang, Yuhao Zhou, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Victor Bahl, Joseph Gonzalez.
  Spatula: Efficient cross-camera video analytics on large camera networks
  SEC 2020


• Xu Zhang, Siddhartha Sen, Daniar kurniawan, Haryadi Gunawi, Junchen Jiang.
  E2E: Embracing User Heterogeneity to Improve Quality of Experience on the Web [website]
  SIGCOMM 2019


• Yu Guan, Chengyuan Zheng, Xinggong Zhang, Junchen Jiang.
  Pano: Optimizing 360 Video Streaming with a Better Understanding of Quality Perception
  SIGCOMM 2019


• Yuchen Jin, Sundararajan R, Ganesh Ananthanarayanan, Junchen Jiang, Venkata Padmanabhan, Manuel Schroder, Matt Calder, Arvind Krishnamurthy.
  Zooming in on Wide-area Latencies to a Global Cloud Provider
  SIGCOMM 2019


• Jiacheng Xia, Gaoxiong Zeng, Junxue Zhang, Weiyan Wang, Wei Bai, Junchen Jiang, Kai Chen.
  Rethinking Transport Layer Design for Distributed Machine Learning
  APNet 2019


• Yiding Wang, Weiyan Wang, Junxue Zhang, Junchen Jiang, Kai Chen.
  Bridging the Edge-Cloud Barrier for Real-time Advanced Vision Analytics
  HotCloud 2019


• Samvit Jain, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Joseph E. Gonzalez.
  Scaling Video Analytics Systems to Large Camera Deployments
  HotMobile 2019


• Junchen Jiang, Ganesh Ananthanarayanan, Peter Bodik, Siddhartha Sen, Ion Stoica.
  Chameleon: Scalable Adaptation of Video Analytics via Temporal and Cross-camera Correlations [Slides].
  SIGCOMM 2018


• Ying Zheng, Ziyu Liu, Xinyu You, Yuedong Xu, Junchen Jiang.
  Demystifying Deep Learning in Networking
  APNet 2018


• Chrisma Pakha, Aakanksha Chowdhery, Junchen Jiang.
  Reinventing Video Streaming for Distributed Vision Analytics
  HotCloud 2018


• Yuchao Zhang, Junchen Jiang, Ke Xu, Xiaohui Nie, Martin J. Reed, Haiyang Wang, Guang Yao, Miao Zhang, Kai Chen.
  BDS: A Centralized Near-Optimal Overlay Network for Inter-Datacenter Data Replication
  EuroSys 2018


• Mihovil Bartulovic, Junchen Jiang, Vyas Sekar, Bruno Sinopoli.
  Biases in Data-Driven Networking, and What to Do About Them
  HotNets 2017


• Junchen Jiang, Shijie Sun, Vyas Sekar, Hui Zhang.
  Pytheas: Enabling Data-Driven Quality of Experience Optimization Using Group-Based Exploration-Exploitation [Slides].
  NSDI 2017


• Junchen Jiang, Vyas Sekar, Ion Stoica, Hui Zhang.
  Unleashing the Potential of Data-Driven Networking
  COMSNETS 2017 (Invited paper)


• Junchen Jiang, Vyas Sekar, Henry Milner, David Shepherd, Ion Stoica, Hui Zhang.
  CFA: A Practical Prediction System for Video Quality Optimization [Slides].
  NSDI 2016


• Junchen Jiang, Rajdeep Das, Ganesh Anathanarayanan, Philip A. Chou, Venkata Padmanabhan, Vyas Sekar, Esbjorn Dominique, Marcin Goliszewski, Dalibor Kukoleca, Renat Vafin, Hui Zhang.
  Via: Improving Internet Telephony Call Quality Using Predictive Relay Selection [Slides]
  SIGCOMM 2016


• Yi Sun, Xiaoqi Yin, Junchen Jiang, Vyas Sekar, Fuyuan Lin, Nanshu Wang, Tao Liu, Bruno Sinopoli.
  CS2P: Improving Video Bitrate Selection and Adaptation with Data-Driven Throughput Prediction.
  SIGCOMM 2016


• Matthew K. Mukerjee, David Naylor, Junchen Jiang, Dongsu Han, Srinivasan Seshan, Hui Zhang.
  Practical, Real-time Centralized Control for CDN-based Live Video Delivery.
  SIGCOMM 2015


• Aditya Ganjam, Junchen Jiang, Xi Liu, Vyas Sekar, Faisal Siddiqui, Ion Stoica, Jibin Zhan, Hui Zhang.
  C3: Internet-Scale Control Plane for Video Quality Optimization.
  NSDI 2015


• Junchen Jiang, Vyas Sekar, Xi Liu, Ion Stoica, Hui Zhang.
  EONA: Experience-Oriented Network Architecture [Slides].
  HotNets 2014


• Yi Sun, Junchen Jiang, Vyas Sekar, Hui Zhang, Fuyuan Lin, Nanshu Wang.
  Using Video-Based Measurements to Generate a Real-Time Network Traffic Map.
  HotNets 2014


• Junchen Jiang, Vyas Sekar, Ion Stoica, Hui Zhang.
  Shedding Light on the Structure of Internet Video Quality Problems in the Wild [Slides].
  CoNEXT 2013


• Junchen Jiang, Vyas Sekar, Hui Zhang.
  Improving Fairness, Efficiency, and Stability in HTTP-based Adaptive Video Streaming with FESTIVE.
  IEEE/ACM Transaction on Networking 2013.


• Junchen Jiang, Vyas Sekar, Hui Zhang.
  Improving Fairness, Efficiency, and Stability in HTTP-based Adaptive Video Streaming with FESTIVE [Slides].
  CoNEXT 2012
  Best Paper Runner-up, Fast-tracked to IEEE/ACM Transaction on Networking


• Xi Liu, Florin Dobrian, Henry Milner, Junchen Jiang, Vyas Sekar, Ion Stoica, Hui Zhang.
  A Case for a Coordinated Internet-Scale Video Control Plane.
  SIGCOMM 2012


• Junchen Jiang, Hongji Bao, Edward Y. Chang, Yuqian Li.
  MOIST: A Scalable and Parallel Moving Object Indexer with School Tracking.
  VLDB 2012

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

Teaching

• 34702 Topics in Networks (Fall 2020): Machine Learning for Networking and Systems
• 15412 Introduction to Computer Systems (Spring 2020)
• 34702 Topics in Networks (Fall 2019): Machine Learning for Networking and Systems
• 15412 Introduction to Computer Systems (Spring 2019
• 34702 Topics in Networks (Fall 2018): Cloud Computing

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