Jiyuan Wang

Assistant Professor
Tulane University

CS Ph.D.
University of California, Los Angeles

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Contact:
Department of Computer Science
Tulane University
304 Paul Hall

I'm currently an Assistant Professor at Tulane University. Before that, I was an applied scientist at AWS identity. I earned my PhD in Computer Science Department at University of California, Los Angeles. I am designing testing and debug method for big data analytic and FPGA. I was a member of SOLAR group and co-advised by Professor Miryung Kim and Professor Harry Xu. Finished my defense! Check my defense slide if you are insterested slide

I joined the Department of Computer Science at Tulane University as an Assistant Professsor in the Fall 2025. I'm looking for students who want to work on Softwrae Engineering and Quantum Computing. Feel free to email me if you are insterested!

News

Jun 2026: Received Google Research Credit Award. We gratefully acknowledge Google's sponsorship and support.
Jun 2026: I'm serving on FSE 2027 program committee.
May 2026: I'm serving on ASE 2026 Tools program committee.
2026: Our paper Needle in the Repo: A Benchmark for Maintainability in AI-Generated Repository Edits was accepted to ASE 2026.
2026: Our paper Argus: A Guided and Traceable Mutation Testing Engine was accepted to FSE 2026 Demonstrations.
2026: Our work HALO: A Fine-Grained Resource Sharing Quantum Operating System was reported by QuantumZeitgeist
Fall 2025: I joined the Department of Computer Science at Tulane University as an Assistant Professor.
Mar 2025: I got my PhD from UCLA and join AWS as an applied scientist.
2025: Our paper DuoReduce: Bug Isolation for Multi-Layer Extensible Compilation was accepted to FSE 2025.
2025: Our paper Fuzzing MLIR Compilers with Custom Mutation Synthesis was accepted to ICSE 2025.
Recruiting: I am looking for students interested in software engineering, quantum computing, and testing/debugging for heterogeneous systems. Please feel free to email me.

Teaching

SE for Heterogeneous Computing CMPS-4662
2026 Spring

Quantum Computing CMPS-6660-01 & CMPS-4660-01
2025 Fall

Poster

Poster: Fuzz Testing of Quantum Program
By Jiyuan Wang, Fuchen Ma, Yu Jiang
14th IEEE Conference on Software Testing, Verification and Validation, ICST 2021, Best Poster

In this paper, we present QuanFuzz, a search-based test input generator for quantum program. We define the quantum sensitive information to evaluate test input for quantum program and use matrix generator to generate test cases with higher coverage. First, we extract quantum sensitive information -- measurement operations on those quantum registers and the sensitive branches associated with those measurement results, from the quantum source code. Then, we use the sensitive information guided algorithm to mutate the initial input matrix and select those matrices which improve the probability weight for a value of the quantum register to trigger the sensitive branch. The process keeps iterating until the sensitive branch triggered. We tested QuanFuzz on benchmarks and acquired 20% - 60% more coverage compared to traditional testing input generation.

arXiv (Oct 2018)