Yang Wang Associate Professor Office: DL689 Department of Computer Science and Engineering The Ohio State University Email: wang dot 7564 at osu dot edu

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I am an associate professor in the CSE department of OSU and a visiting engineer at Meta. My research interests are in distributed systems, in particular fault tolerance, scalability, performance measurement and analysis, and concurrency control.

I received my Ph.D. in Computer Science from the University of Texas at Austin in 2014. My advisors are Dr. Lorenzo Alvisi and Dr. Mike Dahlin. I received my master's (advisor: Dr. Jiwu Shu) and bachelor's degree in Computer Science in 2008 and 2005 respectively from Tsinghua University in China.

My CV can be found here.

Honors and Awards:

• Lumley Research Award, College of Engineering, OSU, 2025.
• Best Paper Award, SOSP 24.
• Jay Lepreau Best Paper Award, OSDI 24.
• Best paper award. Systor 2014.
• Google Ph.D. Fellowship in Distributed Computing, 2013.

Teaching:

• CSE 2431 System II Operating System: 2024 Spring, 2021 Fall, 2021 Spring, 2020 Fall, 2017 Spring, 2016 Fall, 2015 Fall.
• CSE 6431 Advanced Operating System: 2025 Fall, 2025 Spring, 2024 Fall, 2023 Fall, 2022 Fall, 2020 Spring, 2017-2019 Fall.
• CSE 2421 System I Computer Organization: 2021 Fall.
• CSE 5429 System Design for New Hardware: 2019 Spring.
• CSE 5439 Large-scale Data Processing: 2016 Spring.

Selected Publications (Full list):

• [TOCS] Detecting Tiny Performance Regressions at Hyperscale.
  Yang Wang, Mike Chow, Dong Young Yoon, Rohan Bopardikar, Sherry Chen, Zoltan Farkas, Caner Gocmen, Kapil Goenka, Ayichew Hailu, Daniel Hodges, Elvis Huang, Ivor Huang, Zhihui Huang, Juan Jones, Osman Korcas, Jocelyn Kong, Abhinay Kukkadapu, Yanjun Lin, Matt McNally, David Meisner, Rodrigo Paim, Dhruv Patel, Jialiang Qu, Santosh Sonawane, William Wang, Mack Ward, Jonathan Wiepert, Miao Yu, Bin Zhang, Yunqi ZHang, and Chunqiang Tang.
  Accepted by ACM Transactions on Computer Systems (TOCS).
• [Bench '25] Examining TPC-C Characteristics on Modern E-Commerce Applications. [Modified TPC-C benchmark].
  Xueyuan Ren and Yang Wang.
  In The 17th BenchCouncil International Symposium On Evaluatology: Evaluation Science and Engineering (Bench 2025), Guanghan, China, December 2025.
• [SIGMOD '25] On the Feasibility and Benefits of Extensive Evaluation. [Source code] [Artifacts Available, Artifacts Evaluated, and Results Reproduced]
  Yujie Hui*, Miao Yu*, Hao Qi, Yifan Gan, Tianxi Li, Yuke Li, Xueyuan Ren, Sixiang Ma, Xiaoyi Lu, and Yang Wang (* made equal contributions).
  In SIGMOD International Conference on Management of Data (2025), Berlin, Germany, June 2025.
• [SOSP '24] FBDetect: Catching Tiny Performance Regression at Hyperscale through In-Production Monitoring.
  Best Paper Award.
  Dong Young Yoon, Yang Wang, Miao Yu, Xu Huang, Juan Ignacio Jones, Abhinay Kukkadapu, Osman Kocas, Jonathan Wiepert, Kapil Goenka, Sherry Chen, Yanjun Lin, Zhihui Huang, Jocelyn Kong, Michael Chow, and Chunqiang Tang.
  In the 30th Symposium on Operating Systems Principles (SOSP 2024), Austin, TX, USA, November 2024.
• [OSDI '24] ServiceLab: Preventing Tiny Performance Regressions at Hyperscale through Pre-Production Testing.
  Jay Lepreau Best Paper Award.
  Mike Chow, Yang Wang, William Wang, Ayichew Hailu, Rohan Bopardikar, Bin Zhang, Jialiang Qu, David Meisner, Santosh Sonawane, Yunqi Zhang, Rodrigo Paim, Mack Ward, Ivor Huang, Matt McNally, Daniel Hodges, Zoltan Farkas, Caner Gocmen, Elvis Huang, and Chunqiang Tang.
  In the 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2024), Santa Clara, CA, USA, July 2024.
• [OSDI '24] MAST: Global Scheduling of ML Training across Geo-Distributed Datacenters at Hyperscale.
  Arnab Choudhury, Yang Wang, Tuomas Pelkonen, Kutta Srinivasan, Abha Jain, Shenghao Lin, Delia David, Siavash Soleimanifard, Michael Chen, Abhishek Yadav, Ritesh Tijoriwala, Denis Samoylov, and Chunqiang Tang.
  In the 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2024), Santa Clara, CA, USA, July 2024.
• [PLDI '24] IsoPredict: Dynamic Predictive Analysis for Detecting Unserializable Behaviors in Weakly Isolated Data Store Applications. [extended version] [source code] [artifact]
  Chujun Geng, Spyros Blanas, Michael D. Bond, and Yang Wang.
  In 2024 ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2024), Copenhagen, Denmark, June 2024.
• [ML for Systems Workshop] Learning Distributed Protocols with Zero Knowledge.
  Yujie Hui, Drew Ripberger, Xiaoyi Lu, and Yang Wang.
  In ML for Systems Workshop at NeurIPS 2023, New Orleans, Louisiana, Dec 2023.
• [SOSP '23] Understanding Silent Data Corruptions in a Large Production CPU Population.
  Shaobu Wang, Guangyan Zhang, Junyu Wei, Yang Wang, Jiesheng Wu, and Qingchao Luo.
  In the 29th ACM Symposium on Operating Systems Principles (SOSP 2023), Koblenz, Germany, Oct 2023.
• [OSDI '23] Conveyor: One-Tool-Fits-All Continuous Software Deployment at Meta.
  Boris Grubic, Yang Wang, Tyler Petrochko, Ran Yaniv, Brad Jones, David Callies, Matt Clarke-Lauer, Dan Kelly, Soteris Demetriou, Kenny Yu, and Chunqiang Tang.
  In the 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2023), Boston, MA, Jul 2023.
• [CIDR '23] Developer’s Responsibility or Database’s Responsibility? Rethinking Concurrency Control in Databases.
  Chaoyi Cheng*, Mingzhe Han*, Nuo Xu, Spyros Blanas, Michael D. Bond, and Yang Wang (* made equal contributions).
  In the Conference on Innovative Data Systems Research (CIDR 2023), Amsterdam, The Neithlands, Jan 2023.
• [Eurosys '23] LogGrep: Fast and Cheap Cloud Log Storage by Exploiting both Static and Runtime Patterns. [source code]
  Junyu Wei, Guangyan Zhang, Junchao Chen, Yang Wang, Weimin Zheng, Tingtao Sun, Jiesheng Wu, and Jiangwei Jiang.
  In Eurosys 2023, Rome, Italy, May 2023.
• [VLDB '22] A Study of Database Performance Sensitivity to Experiment Settings. [source code] [Benchmark tutorial]
  Yang Wang, Miao Yu, Yujie Hui, Fang Zhou, Yuyang Huang, Rui Zhu, Xueyuan Ren, Tianxi Li, and Xiaoyi Lu.
  In the 48th International Conference on Very Large Data Bases (VLDB 2022), Sydney, Australia, Sep 2022.
• [EuroSys '21] Finding Heterogeneous-Unsafe Configuration Parameters in Cloud Systems. [source code]
  Sixiang Ma, Fang Zhou, Mike D. Bond, and Yang Wang.
  In EuroSys 2021, Virtual, April 2021.
• [FAST '21] On the Feasibility of Parser-based Log Compression in Large-Scale Cloud Systems. [source code] [log samples]
  Junyu Wei, Guangyan Zhang, Yang Wang, Zhiwei Liu, Zhanyang Zhu, Junchao Chen, Tingtao Sun, and Qi Zhou.
  In the 19th USENIX Conference on File and Storage Technologies (FAST 2021), Virtual, February 2021.
• [VLDB '20] IsoDiff: Debugging Anomalies Caused by Weak Isolation.
  Yifan Gan, Xueyuan Ren, Drew Ripberger, Spyros Blanas, and Yang Wang.
  In the 46th International Conference on Very Large Data Bases (VLDB 2020), Virtual, Aug - Sep 2020.
• [ASPLOS '20] FlatStore: an Efficient Log-Structured Key-Value Storage Engine for Persistent Memory.
  Youmin Chen, Youyou Lu, Fan Yang, Qing Wang, Yang Wang, and Jiwu Shu.
  In the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems, Virtual, Mar 2020.
• [USENIX ATC '19] Dayu: Fast and Low-interference Data Recovery in Very-large Storage Systems.
  Zhufan Wang, Guangyan Zhang, Yang Wang, Qinglin Yang, and Jiaji Zhu.
  In 2019 USENIX Annual Technical Conference, Renton, WA, Jul 2019.
• [USENIX ATC '19] PostMan: Rapidly Mitigating Bursty Traffic by Offloading Packet Processing. [source code]
  Panpan Jin, Jian Guo, Yikai Xiao, Rong Shi, Yipei Niu, Fangming Liu, Chen Qian, and Yang Wang.
  In 2019 USENIX Annual Technical Conference, Renton, WA, Jul 2019.
• [ICS '19] Henosis: Workload-driven small array consolidation and placement for HDF5 applications on heterogeneous data stores.
  Donghe Kang, Vadang Patel, Ashwati Nair, Spyros Blanas, Yang Wang, and Srinivasan Parthasarathy.
  In the 33rd ACM International Conference on Supercomputing, Phoenix, AZ, Jun 2019.
• [OSDI '18] wPerf: Generic Off-CPU Analysis to Identify Critical Waiting Events. [source code]
  Fang Zhou, Yifan Gan, Sixiang Ma, and Yang Wang.
  In the 13th USENIX Symposium on Operating Systems Design and Implementation, Carlsbad, CA, Oct 2018.
• [MASCOTS 2018] Evaluating Scalability Bottlenecks by Workload Extrapolation. [source code]
  Rong Shi, Yifan Gan, and Yang Wang.
  In the 26th IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, Milwaukee, WI, Sep 2018.
• [USENIX ATC '18] Accurate Timeout Detection Despite Arbitrary Processing Delays. [source code]
  Sixiang Ma, and Yang Wang.
  In 2018 USENIX Annual Technical Conference, Boston, MA, July 2018.
• [USENIX ATC '16] Cheap and Available State Machine Replication. [source code]
  Rong Shi, and Yang Wang.
  In 2016 USENIX Annual Technical Conference, Denver, CO, June 2016.
• [SOSP '15] High-Performance ACID via Modular Concurrency Control.
  Chao Xie, Chunzhi Su, Cody Littley, Lorenzo Alvisi, Manos Kapritsos, and Yang Wang.
  In the 25th ACM Symposium on Operating Systems Principles, Monterey, CA, Oct 2015.
• [OSDI '14] Salt:Combining ACID and BASE in a Distributed Database.
  Chao Xie, Chunzhi Su, Manos Kapritsos, Yang Wang, Navid Yaghmazadeh, Lorenzo Alvisi, and Prince Mahajan.
  In the 11th USENIX Symposium on Operating Systems Design and Implementation, Broomfield, CO, Oct 2014.
• [Systor 2014] Lazy Means Smart: Reducing Repair Bandwidth Costs in Erasure-coded Distributed Storage.
  Best paper award.
  Mark Silberstein, Lakshmi Ganesh, Yang Wang, Lorenzo Alvisi, and Mike Dahlin.
  In the 7th ACM International Systems and Storage Conference, Haifa, Israel, June 2014.
• [NSDI '14] Exalt: Empowering Researchers to Evaluate Large-Scale Storage Systems.
  Yang Wang, Manos Kapritsos, Lara Schmidt, Lorenzo Alvisi, and Mike Dahlin.
  In the 11th USENIX Symposium on Networked System Design and Implementation, Seattle, WA, Apr 2014.
• [NSDI '13] Robustness in the Salus scalable block store.
  Yang Wang, Manos Kapritsos, Zuocheng Ren, Prince Mahajan, Jeevetha Kirubanandam, Lorenzo Alvisi, and Mike Dahlin.
  In the 10th USENIX Symposium on Networked System Design and Implementation, Lombard, Il, Apr 2013.
• [OSDI '12] All about Eve: Execute-Verify Replication for Multi-Core Servers.
  Manos Kapritsos, Yang Wang, Vivien Quema, Allen Clement, Lorenzo Alvisi, and Mike Dahlin.
  In the 10th USENIX Symposium on Operating Systems Design and Implementation, Hollywood, CA, Oct 2012.
• [USENIX ATC '12] Gnothi:Separating Data and Metadata for Efficient and Available Storage Replication.
  Yang Wang, Lorenzo Alvisi, and Mike Dahlin.
  In 2012 USENIX Annual Technical Conference, Boston, MA, June 2012.
• [ACM TOS] SOPA: Selecting the Optimal Policy Adaptively.
  Yang Wang, Jiwu Shu, Guangyan Zhang, Wei Xue, and Weimin Zheng.
  ACM transactions on storage, Volume 6 Issue 2, July 2010.
• [SOSP '09] UpRight Cluster Services.
  Allen Clement, Manos Kapritsos, Sangmin Lee, Yang Wang, Lorenzo Alvisi, Mike Dahlin, and Taylor Riche.
  In 22nd ACM Symposium on Operating Systems Principles, Big Sky, MT, Oct 2009.

Services:

• PC member: SOSP 2026, OSDI 2026, ASPLOS 2026 (ERC), VLDB 2026, USENIX ATC 2025, Eurosys 2025, SOSP 2024, Eurosys 2024, Eurosys 2023, SIGMOD 2023, Eurosys 2022, APSys 2021, ICDCS 2021, Eurosys 2021, OSDI 2020, USENIX ATC 2019 (ERC), ICDCS 2018, SoCC 2016, SysTOR 2016
• Student Grant Committee member: SOSP 2019, SOSP 2017

Students:

• Ph.D. students: Jintong Liu (2024)
• Alumini:
  • Xueyuan Ren, Ph.D. 2025
  • Oscar Zeng, MS 2025
  • Miao Yu, Ph.D. 2025 (Meta/Facebook)
  • Yujie Hui, Ph.D. 2025 (Google)
  • Tianxi Li, MS 2024 (Google)
  • Drew Ripberger, BS 2023 (Ph.D. @ CMU since 2025)
  • Chaoyi Cheng, BS 2022 (Master @ U. Penn)
  • Nuo Xu, BS 2022 (Master @ USC)
  • Mingzhe Han, BS 2022 (Master @ Ohio State)
  • Sixiang Ma, Ph.D. 2022 (Databricks)
  • Yifan Gan, Ph.D. 2021 (Oracle)
  • Fang Zhou, Ph.D. 2021 (Facebook)
  • Yuyang Huang, BS 2021 (Master @ U. Chicago)
  • Rui Zhu, BS 2021 (Master @ Purdue)
  • Rong Shi, Ph.D. 2018 (Facebook)
  • Zijian Hu, MS 2017 (Facebook)