CV

Mingzhe Du's Curriculum Vitae

General Information

Full Name Mingzhe Du
Email dumingzhex@gmail.com
Address Innovation 4.0, 3 Research Link, Singapore, 117602
Languages Mandarin (native), English (professional)

Research Interests

  • Code Generation / Preference Alignment / Bias Evaluation and Mitigation

Education

  • 2022 - Present
    PhD Candidate in Computer Science
    Nanyang Technological University, College of Computing and Data Science, Singapore
    • Advisor: Prof. Anh Tuan Luu
  • 2017 - 2019
    Master of Information Technology
    The University of Melbourne, Faculty of Engineering, Melbourne, Australia
    • Advisor: Prof. Richard O. Sinnott
    • Specialization: Distributed Computing (Honorable Dissertation)
  • 2013 - 2017
    Bachelor of Information Security
    Central South University, School of Computer Science and Engineering, Changsha, China
    • Excellent Scholarships (GPA 3.7/4.0)

Professional Experience

  • 2021 - Present
    Research Associate
    National University of Singapore, Institute of Data Science
    • Advisor: Prof. See-Kiong Ng
    • Affiliated with Cisco-NUS Accelerated Digital Economy Corporate Laboratory.
  • 2019 - 2021
    Software Architect (Full Time)
    ByteDance, Tiktok Search
    • Architected a scalable, general-purpose search engine (Search Eternal) that now powers core search services for major ByteDance platforms, including Douyin, TikTok and TouTiao.
  • 2018 - 2019
    Research Intern
    Microsoft, Asia-Pacific Research and Development Group
    • Mentor: Wei Liu
    • Designed and implemented a Transformer-based model for text-to-image synthesis, generating visually coherent images from textual descriptions.
  • 2016
    Software Engineer Intern
    Alibaba, Ant Finance Core Clearing Team
    • Developed components for a core system in Alipay's payment clearing flow, enabling the aggregation of millions of orders at minute-level latency for data exchange with banking partners.
  • 2016
    Software Engineer Intern
    Tencent, Social Network Group
    • Built and deployed a URL analysis platform to process and detect suspicious content in high-volume public message traffic, significantly improving the filtering of malicious information to enhance content security.

Selected Publications

  • [NeurIPS'25] Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization.
  • [ACL'25] CodeArena: A collective evaluation platform for LLM code generation.
  • [NeurIPS'24] Mercury: A Code Efficiency Benchmark for Code Large Language Models.
  • [ICLR'26] Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts. (Oral)
  • [ICML'25] Position: Current Model Licensing Practices are Dragging Us into a Quagmire of Legal Noncompliance. (Oral)
  • [AAAI'25] Towards Verifiable Text Generation with Generative Agent. (Oral)
  • [ACL'25] AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. (Oral and SAC Highlight Award)
  • [ICSE'25] Measuring the Influence of Incorrect Code on Test Generation.
  • [NeurIPS'25] EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code.
  • [AAAI'24] From Static to Dynamic: Knowledge Metabolism for Large Language Models.

Academic Services

  • Conference Reviewer
    • NeurIPS (24,25), ICLR (24,25,26), ICML (25,26), AISTATS (24,26), AAAI'26, AISI'26, CIKM'25, ECAI'25, NAACL'24, EMNLP'24, ECAI'24, CLEF'23
  • Journal Reviewer
    • ACM Computing Survey, Frontiers in Artificial Intelligence
  • Volunteer
    • NeurIPS'25, ACL'25, WWW'24, EMNLP'24, AAAI'23
  • STEM Mentor
    • The University of Melbourne (2019-Present)

Awards

  • 2025
    • Staff Research Award at Institute of Data Science, National University of Singapore.
  • 2022
    • First Runner-Up Award at the Singapore Healthcare AI Datathon: Identifying ICU Patient with Central Lines at Risk of CLABSI.
  • 2019
    • First Prize at Catalyst 2019: A Path Recommendation System based on Data Aggregation and Analysis.
    • First Prize at Codebrew 2019: After Dark (Finding Safe and Fast Routes for Pedestrians at Night).
  • 2015
    • Second Prize at the 8th National Information Security Competition: An Efficient Express Label System Based on Hierarchical Encryption.
    • Technology Pioneer Award at the Cyberspace Security Talent Development and Entrepreneurship Forum.
    • First Prize at the National Internet of Things Competition.
  • 2014
    • First Prize at the Mathematical Contest in Modeling (MCM): Study on the Wreckage Position of Malaysia Airlines Flight MH370.

Miscellaneous

LinkedIn dumingzhe
GitHub elfsong
WeChat spirit_song