CV
Mingzhe Du's Curriculum Vitae
General Information
| Full Name | Mingzhe Du |
| 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
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2022 - Present PhD Candidate in Computer Science
Nanyang Technological University, College of Computing and Data Science, Singapore - Advisor: Prof. Anh Tuan Luu
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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)
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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
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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.
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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.
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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.
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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.
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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
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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
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Journal Reviewer
- ACM Computing Survey, Frontiers in Artificial Intelligence
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Volunteer
- NeurIPS'25, ACL'25, WWW'24, EMNLP'24, AAAI'23
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STEM Mentor
- The University of Melbourne (2019-Present)
Awards
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2025 - Staff Research Award at Institute of Data Science, National University of Singapore.
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2022 - First Runner-Up Award at the Singapore Healthcare AI Datathon: Identifying ICU Patient with Central Lines at Risk of CLABSI.
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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).
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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.
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2014 - First Prize at the Mathematical Contest in Modeling (MCM): Study on the Wreckage Position of Malaysia Airlines Flight MH370.