Yuanli Wang (王远立)

I'm a Ph.D. student at Complex Analytics & Scalable Processing (CASP) Research Lab at Boston University, and I am working with Vasiliki (Vasia) Kalavri.

My research interests are broadly in computer system, database and network. My current works are focusing on building self-managed stream processing system.

Previously, I obtained my master's degree from University of Minnesota.

Email: yuanliw at bu dot edu  /  CV  /  Twitter  /  Github  /  Google Scholar

profile photo

Publications
The Non-Expert Tax: Quantifying the cost of auto-scaling in Cloud-based data stream analytics
Yuanli Wang, Baiqing Lyu, Vasiliki Kalavri
BiDEDE’22, co-located with SIGMOD’22 [slides] [poster]
A New Benchmark Harness for Systematic and Robust Evaluation of Streaming State Stores
Esmail Asyabi, Yuanli Wang, John Liagouris, Vasiliki Kalavri, Azer Bestavros
EuroSys 2022 [code]
HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning
Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Yuanli Wang, Abhishek Chandra
IPDPS 2022
Accelerated Training via Device Similarity in Federated Learning
Yuanli Wang, Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Abhishek Chandra
EdgeSys 2021, co-located with EuroSys 2021 [talk]
Fail-slow fault tolerance needs programming support
Andrew Yoo, Yuanli Wang, Ritesh Sinha, Shuai Mu, Tianyin Xu
HotOS-XVIII [talk]
Exploiting Data Heterogeneity for Performance and Reliability in Federated Learning
Yuanli Wang, Dhruv Kumar, Abhishek Chandra
Poster in the Fifth ACM/IEEE Symposium on Edge Computing. 2020

Work Experiences
PingCAP

Database Engineer Intern | 05/2019 - 08/2019

Worked on AutoTiKV project from scratch: use machine learning to tune database under user-specific workloads.

Professional Services
  • Artifact Evaluation Committee: SIGCOMM 2021, SOSP 2021
  • Program Committee: EuroSys 2022 (Shadow PC) , IMC 2022 (Shadow PC)

  • Teaching
  • Teaching Assistant for CSCI 5105 Distributed Systems, University of Minnesota, Spring 2021
  • Teaching Assistant for CSCI 5103 Operating Systems, University of Minnesota, Fall 2020

  • Honors and Awards
  • Selected entrant for 2019 Google Machine Learning Winter Camp
  • Rank 16/183 in 2018 ACM-ICPC North Central North America Regional Contest
  • Bronze Medal, 2015 China Collegiate Programming Contest

  • Personal
    My reading notes of system papers.
    I love traveling and collecting old computer hardware. Here are the albums of my photography and collections.


    Using template from jonbarron.