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Zhi Chen (陈智)
PhD student and intelligent software engineering researcher focused on practical Code AI systems.
With a consistent B.Eng., M.Sc., and Ph.D. focus in Software Engineering, I have built strong foundations and gained two years of full-time industry experience as a software engineer. I am currently a PhD student at the Centre for Research on Intelligent Software Engineering (RISE), advised by Prof. Lingxiao Jiang. My research focuses on practical Code AI systems, including large code models and software engineering agents, bridging academic insights with real-world applications.
Research
Current Focus
AI-Driven Software Development
Building practical Code AI systems that bridge academic insights and real-world software engineering applications.
Software Engineering Agents
Studying agent behavior, patch quality, development processes, testing, performance optimization, and robustness in real-world repositories.
Large Code Models
Improving code generation capability while evaluating effectiveness, memorization risk, and trustworthiness.
Publications
Publications
Beyond Final Code: A Process-Oriented Error Analysis of Software Development Agents in Real-World GitHub Scenarios
Zhi Chen, Wei Ma, Lingxiao Jiang
48th International Conference on Software Engineering (ICSE 2026), Research Track.
Evaluating Software Development Agents: Patch Patterns, Code Quality, and Issue Complexity in Real-World GitHub Scenarios
Zhi Chen, Lingxiao Jiang
32nd International Conference on Software Analysis, Evolution, and Reengineering (SANER 2025), Research Track.
Promise and Peril of Collaborative Code Generation Models: Balancing Effectiveness and Memorization
Zhi Chen, Lingxiao Jiang
39th International Conference on Automated Software Engineering (ASE 2024), Research Track.
Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents
Zhi Chen, Zhensu Sun, Yuling Shi, Chao Peng, Xiaodong Gu, David Lo, Lingxiao Jiang
arXiv preprint arXiv:2602.07900.
Are Performance-Optimization Benchmarks Reliably Measuring Coding Agents?
Zhi Chen, Zhensu Sun, Yuling Shi, David Lo, Lingxiao Jiang
arXiv preprint arXiv:2607.01211.
AgentGuard: An Active Threat Discovery System for Package Confusion Using Multi-Agent Collaboration
Wei Ma, Yu Li, Zhi Chen, Ye Liu, Lingxiao Jiang, Qiang Hu, Junyi Tao
Proceedings of the 7th International Conference on Machine Learning for Cyber Security (ML4CS 2025).
ConfuScope: A Multi-Agent Framework via Hybrid Search and Content-Aware Analysis for Robust Package Confusion Detection
Yu Li, Wei Ma, Zhi Chen, Ye Liu, Lingxiao Jiang, Junyi Tao, Hao Liu, Yongqiang Lyu, Qiang Hu
Accepted for publication in IEEE Transactions on Software Engineering (TSE).
Executing as You Generate: Hiding Execution Latency in LLM Code Generation
Zhensu Sun, Zicheng Lin, Zhi Chen, Chenguang Yang, Ming Zhou, Lijun Li, David Lo
arXiv preprint arXiv:2604.00491.
Reinforcement Learning Foundations for Deep Research Systems: A Survey
Wenjun Li, Zhi Chen, Jingru Lin, Hannan Cao, Wei Han, Sheng Liang, Zhi Zhang, Kuicai Dong, Dexun Li, Chen Zhang, Yong Liu
arXiv preprint arXiv:2509.06733.
Speculative Forking: Turning Idle Wait into Parallel Exploration for Repository Environment Setup
Yuling Shi, Mingchu Zhong, Zhensu Sun, Weihan Peng, Zhi Chen, Shilin He, Chengcheng Wan, Kai Cai, Hongyu Zhang, David Lo, Xiaodong Gu
Experience
Professional Experience
Dec. 2025 - Present
TikTok | AI Innovation Center
Research & Development Intern | Singapore
Project: Multi-Agent Systems for Code Optimization
Built an end-to-end multi-agent system covering hotspot localization, optimization generation, and performance evaluation. Co-designed the system pipeline; analyzed agent trajectories and refined agent behaviors; enhanced the CPU-gain evaluation platform to support reliable optimization assessment, SFT data curation, and RL reward computation.
Apr. 2025 - Aug. 2025
Huawei | Noah's Ark Lab
Research Intern | Singapore
Project: Deep-Research Agent - Knowledge Integration and Literature Review Assistant
Built a modular LangGraph-based agent integrating web and arXiv search for knowledge synthesis and a proof-of-concept literature review generator. Refactored the original demo, implemented multi-step retrieval and summarization pipelines, and contributed to a survey on reinforcement learning for deep research agents.
Aug. 2022 - Jul. 2023
Sea Limited | Sea Labs
Software Engineer | Singapore
Project: “Loop” - Survey Platform for Product Incubation
Launched a production-ready survey platform from 0 to 1 and established its CI/CD pipeline. Developed authentication, survey configuration, notification, and cron modules; implemented data aggregation with goroutines and Redis caching; and visualized survey insights.
Jul. 2020 - Jul. 2021
Shanghai Baosight Software Co., Ltd. | Cloud Application Department
Software Engineer | Shanghai, China
Project: Blockchain-based Supply Chain Finance System
Delivered a secure system for tokenized warehouse receipts and traceable logistics operations, with smart contracts deployed on an Ethereum-compatible blockchain. Implemented asynchronous blockchain callbacks and the certification generation module.
Oct. 2019 - Feb. 2020
Lenovo Group, LCFC (Hefei) Electronics Technology Co., Ltd. | R&D Department
Software Engineer Intern | Hefei, China
Project: Model-Based Inspection System
Delivered web APIs and frontend dashboards for systematic management of visual inspection datasets and migrated the core inspection system from .NET to a Java-based architecture.
Education
Academic Background
Singapore Management University
Ph.D. in Computer Science
Centre for Research on Intelligent Software Engineering (RISE Centre)
Advisor: Prof. Lingxiao Jiang
Research area: AI-Driven Software Development, Software Engineering Agents, Large Code Models
Singapore Management University
M.Sc. in Computing (Track: Software & Cyber-Physical Systems), School of Computing and Information Systems
Hefei University of Technology
B.Eng. in Software Engineering, School of Software
National Yunlin University of Science and Technology
Exchange Student, Department of Computer Science and Information Engineering
Recognition
Awards
Nominated for Global Young Scientists Summit (GYSS) 2027
Singapore Management University | 2026 | Singapore
SMU Presidential Doctoral Fellowship
Singapore Management University | 2026 | Singapore
SMU Presidential Doctoral Fellowship
Singapore Management University | 2025 | Singapore
SMU Research Scholarship
Singapore Management University | 2023 | Singapore
Merit Award
Singapore Management University | 2021 | Singapore
Golden Prize in Fifth Internet Innovation Competition
Hefei University of Technology | 2018 | Anhui, China
Second-Class Merit-Based Scholarship
Hefei University of Technology | 2017 | Anhui, China
Service
Academic Service
Reviewer
ACM Transactions on Software Engineering and Methodology (TOSEM)
Contact
Open for Collaboration
I am open to collaborations on practical Code AI systems, software engineering agents, and large code models, especially work that bridges academic insights with real-world applications.