Ruichuan Chen

Distinguished Member of Technical Staff
@ Bell Labs

Address

Magirusstrasse 8
70469 Stuttgart
Germany

Email

ruichuan.chen@nokia-bell-labs.com (work)
chen@ruichuan.org (personal)

I am a Distinguished Member of Technical Staff (DMTS) at Bell Labs. Previously, I was a postdoctoral researcher at the Max Planck Institute for Software Systems (MPI-SWS). I received my Ph.D. in Computer Science from Peking University.

My research interests span the broad areas of networking and distributed systems. In particular, my current research centers around cloud computing, machine learning systems, decentralized systems, and privacy-preserving technologies. I open source whenever possible.

Selected Publications

• Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning
  Zhifeng Jiang, Peng Ye, Shiqi He, Wei Wang, Ruichuan Chen, Bo Li
  In USENIX Security 2024, Philadelphia, PA, USA, August 2024.
  [code]
  
  
• Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy
  Zhifeng Jiang, Wei Wang, Ruichuan Chen
  In EuroSys 2024, Athens, Greece, April 2024.
  [code]
  
  
• Noctua: Towards Automated and Practical Fine-grained Consistency Analysis
  Kai Ma, Cheng Li, Enzuo Zhu, Ruichuan Chen, Feng Yan, Kang Chen
  In EuroSys 2024, Athens, Greece, April 2024.
  [code]
  
  
• Following the Data, Not the Function: Rethinking Function Orchestration in Serverless Computing
  Minchen Yu, Tingjia Cao, Wei Wang, Ruichuan Chen
  In NSDI 2023, Boston, MA, USA, April 2023.
  [code]
  
  
• Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning
  Chengliang Zhang, Junzhe Xia, Baichen Yang, Huancheng Puyang, Wei Wang, Ruichuan Chen, Istemi Ekin Akkus, Paarijaat Aditya, Feng Yan
  In SoCC 2021, Seattle, WA, USA, November 2021.
  [Business Wire] [code]
  
  
• Gradient Compression Supercharged High-Performance Data Parallel DNN Training
  Youhui Bai, Cheng Li, Quan Zhou, Jun Yi, Ping Gong, Feng Yan, Ruichuan Chen, Yinlong Xu
  In SOSP 2021, Virtual, October 2021.
  [code]
  
  
• Gillis: Serving Large Neural Networks in Serverless Functions with Automatic Model Partitioning
  Minchen Yu, Zhifeng Jiang, Hok Chun Ng, Wei Wang, Ruichuan Chen, Bo Li
  In ICDCS 2021, Virtual, July 2021.
  [best paper runner-up] [code]
  
  
• Will Serverless Computing Revolutionize NFV?
  Paarijaat Aditya, Istemi Ekin Akkus, Andre Beck, Ruichuan Chen, Volker Hilt, Ivica Rimac, Klaus Satzke, Manuel Stein
  In Proceedings of the IEEE 107(4): 667-678, April 2019.
  
  
• ApproxJoin: Approximate Distributed Joins
  Do Le Quoc, Istemi Ekin Akkus, Pramod Bhatotia, Spyros Blanas, Ruichuan Chen, Christof Fetzer, Thorsten Strufe
  In SoCC 2018, Carlsbad, CA, USA, October 2018.
  [The Morning Paper] [code]
  
  
• SAND: Towards High-Performance Serverless Computing
  Istemi Ekin Akkus, Ruichuan Chen, Ivica Rimac, Manuel Stein, Klaus Satzke, Andre Beck, Paarijaat Aditya, Volker Hilt
  In USENIX ATC 2018, Boston, MA, USA, July 2018.
  [KNIX serverless platform - a realization of this work - is listed on CNCF Serverless Landscape] [code]
  
  
• Towards Reliable Application Deployment in the Cloud
  Ruichuan Chen, Istemi Ekin Akkus, Bimal Viswanath, Ivica Rimac, Volker Hilt
  In CoNEXT 2017, Incheon, South Korea, December 2017.
  
  
• StreamApprox: Approximate Computing for Stream Analytics
  Do Le Quoc, Ruichuan Chen, Pramod Bhatotia, Christof Fetzer, Volker Hilt, Thorsten Strufe
  In Middleware 2017, Las Vegas, NV, USA, December 2017.
  [code]
  
  
• Sieve: Actionable Insights from Monitored Metrics in Distributed Systems
  Jörg Thalheim, Antonio Rodrigues, Istemi Ekin Akkus, Pramod Bhatotia, Ruichuan Chen, Bimal Viswanath, Lei Jiao, Christof Fetzer
  In Middleware 2017, Las Vegas, NV, USA, December 2017.
  [code]
  
  
• PrivApprox: Privacy-Preserving Stream Analytics
  Do Le Quoc, Martin Beck, Pramod Bhatotia, Ruichuan Chen, Christof Fetzer, Thorsten Strufe
  In USENIX ATC 2017, Santa Clara, CA, USA, July 2017.
  [code]
  
  
• AnonRep: Towards Tracking-Resistant Anonymous Reputation
  Ennan Zhai, David Isaac Wolinsky, Ruichuan Chen, Ewa Syta, Chao Teng, Bryan Ford
  In NSDI 2016, Santa Clara, CA, USA, March 2016.
  
  
• Heading Off Correlated Failures through Independence-as-a-Service
  Ennan Zhai, Ruichuan Chen, David Isaac Wolinsky, Bryan Ford
  In OSDI 2014, Broomfield, CO, USA, October 2014.
  [The Register]
  
  
• SplitX: High-Performance Private Analytics [this is a slightly updated version]
  Ruichuan Chen, Istemi Ekin Akkus, Paul Francis
  In SIGCOMM 2013, Hong Kong, China, August 2013.
  [code]
  
  
• Non-tracking Web Analytics
  Istemi Ekin Akkus, Ruichuan Chen, Michaela Hardt, Paul Francis, Johannes Gehrke
  In CCS 2012, Raleigh, NC, USA, October 2012.
  
  
• Towards Statistical Queries over Distributed Private User Data
  Ruichuan Chen, Alexey Reznichenko, Paul Francis, Johannes Gehrke
  In NSDI 2012, San Jose, CA, USA, April 2012.
  
  
• Address-based Route Reflection
  Ruichuan Chen, Aman Shaikh, Jia Wang, Paul Francis
  In CoNEXT 2011, Tokyo, Japan, December 2011.
  
  
• SMALTA: Practical and Near-Optimal FIB Aggregation
  Zartash Afzal Uzmi, Markus Nebel, Ahsan Tariq, Sana Jawad, Ruichuan Chen, Aman Shaikh, Jia Wang, Paul Francis
  In CoNEXT 2011, Tokyo, Japan, December 2011.
  
  
• Bring Order to Online Social Networks
  Ruichuan Chen, Eng Keong Lua, Zhuhua Cai
  In INFOCOM 2011, Shanghai, China, April 2011.
  
  
• Full publication list on Google Scholar.

Current Program Committees

• USENIX NSDI 2025
• IEEE ICDCS 2024
• ACM APSys 2024
• The 2024 MLCommons ML and Systems Rising Stars

Hobbies

• Travel: Albums 2002 ~ Present
• Jogging: Full Marathon Finisher (42.195 km in 3:48:34)
• Hiking: Full Annapurna Circuit Trekker (Besisahar→Thorung La→Naya Pul, 260 km in 10 days)
• Climbing: Mount Kilimanjaro Summiter (5,895 m above sea level)
• Swimming, Alpine Skiing, Scuba Diving (AOW)

© Ruichuan Chen | Last updated: October 2024