Haoxian Chen (陈浩贤)
Assistant Professor
School of Information Science and Technology
ShanghaiTech University
Email: hxchen[at]shanghaitech.edu.cn
Office: Room 1C-503.A, SIST Building 1
Short bio: I got my PhD from Upenn in 2023, advised by Prof. Boon Thau Loo. Before joining UPenn, I worked in Prof. Nathan Beckmann's group at CMU, on cache replacement policies. I got my Bachelors from Tsinghua University in Beijing, China, in 2016. I was born and rasied in Zhuhai, China.
Research: I am interested in improving software verification efficiency by designing high-level domain-specific languages, with automatic verification and program synthesis support. My research spans many topics: programming languages, software engineering, domain-specific languages, program verification, program synthesis, and network protocols.
Projects
- Explainable network synthesis: Automatic network configuration synthesis from high-level intents has improved network management efficiency and robustness. However, the complexity and dynamic nature of networks often make it difficult for administrators to understand and trust these generated configurations. Our project addresses this issue by using localized subspecifications to enhance explainability, thereby boosting administrators’ confidence and trust in adopting automatic network management tools. [FMANO'24, HotNets'24]
- Declarative programming for Ethereum smart contracts:
We design and implement a declarative domain-specific language for Ethereum
smart contracts, which allows programmers to succinctly express contract
logic via declarative rules, and perform automatic formal verification.
[
FSE'22,
ICSE'24
]
[FSE Talk] [Project Code]
Featured in Smart Contract Research Forum. - Example-driven network protocol specification synthesis
We propose a tool to synthesize network protocol specifications from
input-output examples. The goal is to reduce the effort and expertise
required to specify formal models for network protocols, thus accelerating
the adoption of formal methods in networking practice.
[ToN'22]
[Project Code]
Students
- You Cunhan (尤存翰), MS 2022
- Zheng Jiaye (郑嘉业), MS 2022
- Li Zhicheng (李智诚), MS 2023
- Xiang Huilin (项慧琳), MS 2023
- Chen Tanglin (陈汤林), MS 2024
- Zhang Yongzheng (张永政), MS 2024
Teaching
- CS131 Compilers, Fall 2024.
- CS247 Computer-Aided Verification, Spring 2024.
- CS120 Computer Networks, Fall 2023.
Service
- Program Committee: FAB'24
- Program Committee: SoCC'24
- Program Committee: SoCC'23
Publications
- Localized Explanations for Automatically Synthesized Network Configurations ,
HotNets' 24,
Amirmohammad Nazari*, Yongzheng Zhang*, Mukund Raghothaman, Haoxian Chen (* co-first authors)
[preprint] - Practical Declarative Smart Contracts Optimization ,
FAB’24
Lan Lu, Tao Luo, Jingyi Li, Hongxun Ding, Brendan Massey, Haoxian Chen, Boon Thau Loo
- Interpretable Network Synthesis via Localized Specifications ,
FMANO’24
Haoxian Chen
[paper] - Verifying Declarative Smart Contracts, ICSE'24
Haoxian Chen, Lan Lu, Brendan Massey, Yuepeng Wang, Boon Thau Loo
[paper] - Declarative Smart Contracts, FSE'22
Haoxian Chen, Gerald Whitters, Mohammad Javad Amiri, Yuepeng Wang, Boon Thau Loo
[PDF] [Slides] [Code] [Presentation] - Synthesizing Formal Network Specifications from Input-Output Examples, IEEE/ACM Transactions on Networking (ToN)'22
Haoxian Chen, Chenyuan Wu, Andrew Zhao, Mukund Raghothaman, Mayur Naik, Boon Thau Loo
[PDF] [Code] - Interpretable Feedback for AutoML and a Proposal for Domain-customized AutoML for Networking (HotNets'21)
Behnaz Arzani, Kevin Hsieh, Haoxian Chen
[PDF] - Towards Example-Guided Network Synthesis (APNET'18)
Haoxian Chen, Anduo Wang, and Boon Thau Loo.
[PDF] [Slides] - LHD: Improving Cache Hit Rate by Maximizing Hit Density (NSDI'18)
Nathan Beckmann, Haoxian Chen, and Asaf Cidon.
[PDF] - SDPA: Toward a Stateful Data Plane in Software-Defined Networking
(TON'17)
Chen Sun, Jun Bi, Haoxian Chen, Hongxin Hu, Zhilong Zheng, Shuyong Zhu, and Chenghui Wu.
[PDF] - Felix: Implementing Traffic Measurement on End Hosts Using Program
Analysis (SOSR'16)
Haoxian Chen, Nate Foster, Jake Silverman, Michael Whittaker, Brandon Zhang, and Rene Zhang.
[PDF]