About me

I am a final year computer science Ph.D. candidate at University of Pennsylvania, advised by Prof. Boon Thau Loo. I also work closely with Prof. Dahlia Malkhi (Chainlink Labs & UCSB), Prof. Mohammad Javad Amiri (Stony Brook University) and Prof. Ryan Marcus (UPenn). My research focuses on the intersection of AI and databases, represented by the next generation of AI-driven distributed ledgers that are adaptive and smart. These projects resulted in numerous publications at top database/systems conferences and several best paper awards (NSDI, EDBT). I am currently on a revolutionary entrepreneurial journey and is expected to graduate this September.

Preprints

BFTBrain: Adaptive BFT Consensus with Reinforcement Learning
Chenyuan Wu, Haoyun Qin, Mohammad Javad Amiri, Boon Thau Loo, Dahlia Malkhi, Ryan Marcus

On Orchestrating Parallel Broadcasts for Distributed Ledgers
Peiyao Sheng, Chenyuan Wu, Dahlia Malkhi, Michael K. Reiter, Chrysoula Stathakopoulou, Michael Wei, Maofan Yin

Papers

BFTGym: An Interactive Playground for BFT Protocols
Haoyun Qin, Chenyuan Wu, Mohammad Javad Amiri, Ryan Marcus, Boon Thau Loo
50th conference on Very Large Databases (VLDB), Aug 2024.

Towards Full Stack Adaptivity in Permissioned Blockchains
Chenyuan Wu, Mohammad Javad Amiri, Haoyun Qin, Bhavana Mehta, Ryan Marcus, Boon Thau Loo
50th conference on Very Large Databases (VLDB), Aug 2024.

The Bedrock of Byzantine Fault Tolerance: A Unified Platform for BFT Protocols Analysis, Implementation, and Experimentation
Mohammad Javad Amiri, Chenyuan Wu, Divyakant Agrawal, Amr El Abbadi, Boon Thau Loo, and Mohammad Sadoghi
21st USENIX Symposium on Networked Systems Design and Implementation (NSDI), April 2024.
🏆Outstanding Paper Award
.

AdaChain: A Learned Adaptive Blockchain
Chenyuan Wu, Bhavana Mehta, Mohammad Javad Amiri, Ryan Marcus, and Boon Thau Loo
49th conference on Very Large Databases (VLDB), Aug 2023.

FlexChain: An Elastic Disaggregated Blockchain
Chenyuan Wu, Mohammad Javad Amiri, Jared Asch, Heena Nagda, Qizhen Zhang, and Boon Thau Loo
49th conference on Very Large Databases (VLDB), Aug 2023.

Synthesizing Formal Network Specifications from Input-Output Examples
Haoxian Chen, Chenyuan Wu, Andrew Zhao, Mukund Raghothaman, Mayur Naik, and Boon Thau Loo
IEEE/ACM Transactions on Networking (ToN), 2022.

Provenance for Probabilistic Logic Programs
Shaobo Wang, Hui Lyu, Jiachi Zhang, Chenyuan Wu, Xinyi Chen, Wenchao Zhou, Boon Thau Loo, Susan B. Davidson, and Chen Chen
23rd International Conference on Extending Database Technology, (EDBT), Apr 2020.
🏆Best Paper Award.

Experiences

Chainlink Labs, May 2023 - Dec. 2023
Research Intern
Mentor: Dahlia Malkhi

Teaching

Course Designer and Teaching Assistant
CIS 553 online: Networked Systems, Fall 2021, Spring 2022

Service

  • Journal Reviewer: Transactions on Storage, Transactions on Dependable and Secure Computing
  • External Reviewer: CIKM 2022, WORDS 2021, CoNEXT 2020
  • Organizer: Penn DSL Seminar

Awards

  • VLDB Travel Award, 2023
  • PhD Fellowship in University of Pennsylvania, 2020
  • President’s Scholarship in Beijing Jiaotong University (10 out of 15,000), 2019
  • Chinese National Scholarship, 2019
  • Chinese National Scholarship, 2017
  • Second Prize in the National College Physics Competition, 2017