Dinghong Zhong

Dinghong Zhong 钟定洪

Ph.D. student

I am a Ph.D. student advised by Guannan Wei in the Department of Computer Science at Tufts University. My research interests include programming languages and software engineering. Recently, I have been working on concolic execution and type system design for multi-stage programming languages.

I received my master's degree from Xi'an Jiaotong University in 2023, where I was advised by Wuxia Jin. During my master's studies, I focused on software engineering research.

I received my bachelor's degree in civil engineering from Xi'an University of Architecture and Technology in 2020.

Recent Activities

Publications

Compiling WebAssembly Concolic Execution with Staging, Continuations, and Snapshots

Dinghong Zhong, Alexander Y. Bai, Mikail Khan, and Guannan Wei

OOPSLA 2026 (To appear)

Let It Be Optimized: Building Multi-Stage Evaluators with Let-Insertion and Optimizations in Small Pieces (Functional Pearl)

Guannan Wei, Jun Tan, and Dinghong Zhong

ICFP 2026

Reconstructing Continuation-Passing Semantics for WebAssembly

Guannan Wei, Alexander Y. Bai, Dinghong Zhong, and Jiatai Zhang

TFP 2025

Pyanalyzer: An Effective and Practical Approach for Dependency Extraction from Python Code

Wuxia Jin, Shuo Xu, Dawei Chen, Jiajun He, Dinghong Zhong, Ming Fan, Hongxu Chen, Huijia Zhang, and Ting Liu

ICSE 2024

Evaluating the Impact of Possible Dependencies on Architecture-Level Maintainability

Wuxia Jin, Dinghong Zhong, Yuanfang Cai, Rick Kazman, and Ting Liu

TSE 2022

Where to Start: Studying Type Annotation Practices in Python

Wuxia Jin, Dinghong Zhong, Zifan Ding, Ming Fan, and Ting Liu

ASE 2021

Microservice Maintainability Measurement Based on Multi-Sourced Feature Space

Wuxia Jin, Dinghong Zhong, Yuyun Zhang, Mingfan Yang, and Ting Liu

Journal of Software, 32(5), 2021

Talks

Efficient Concolic Execution of WebAssembly

WebAssembly Workshop at ICFP/SPLASH 2025

Video

Academic Service