Ruichuan Chen
Distinguished Member of Technical Staff
Stuttgart, Germany
Biography
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.
Education
- Ph.D. in Computer Science from Peking University in 2009.
Selected Articles and Publications
- 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. - 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. - 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. - Lessons Learned from Migrating Complex Stateful Applications onto Serverless Platforms
Zewen Jin, Yiming Zhu, Jiaan Zhu, Dongbo Yu, Cheng Li, Ruichuan Chen, Istemi Ekin Akkus, Yinlong Xu
In APSys 2021, Virtual, August 2021. - Gillis: Serving Large Neural Networks in Serverless Functions with Automatic Model Partitioning (nominated for the best paper award)
Minchen Yu, Zhifeng Jiang, Hok Chun Ng, Wei Wang, Ruichuan Chen, Bo Li
In ICDCS 2021, Virtual, July 2021. - Efficient GPU Sharing for Serverless Workflows
Klaus Satzke, Istemi Ekin Akkus, Ruichuan Chen, Ivica Rimac, Manuel Stein, Andre Beck, Paarijaat Aditya, Manohar Vanga, Volker Hilt
In High Performance Serverless 2021, Virtual, June 2021. - PerfEstimator: A Generic and Extensible Performance Estimator for Data Parallel DNN Training
Chengru Yang, Zhehao Li, Chaoyi Ruan, Guanbin Xu, Cheng Li, Ruichuan Chen, Feng Yan
In ICSE Workshop on Cloud Intelligence 2021, Virtual, May 2021. - 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. - 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. - ApproxIoT: Approximate Analytics for Edge Computing
Zhenyu Wen, Do Le Quoc, Pramod Bhatotia, Ruichuan Chen, Myungjin Lee
In ICDCS 2018, Vienna, Austria, July 2018. - 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. - 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. - 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. - Building and Analyzing a Global Co-Authorship Network Using Google Scholar Data
Yang Chen, Cong Ding, Jiyao Hu, Ruichuan Chen, Pan Hui, Xiaoming Fu
In BigScholar 2017, Perth, Australia, April 2017. - Online Algorithm for Approximate Quantile Queries on Sliding Windows
Chun-Nam Yu, Michael Crouch, Ruichuan Chen, Alessandra Sala
In SEA 2016, St. Petersburg, Russia, June 2016. - 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. - An Untold Story of Redundant Clouds: Making Your Service Deployment Truly Reliable
Ennan Zhai, Ruichuan Chen, David Isaac Wolinsky, Bryan Ford
In HotDep 2013, Farmington, PA, USA, November 2013. - SplitX: High-Performance Private Analytics
Ruichuan Chen, Istemi Ekin Akkus, Paul Francis
In SIGCOMM 2013, Hong Kong, China, August 2013. - 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.
Biography
Website