Mingzhe Du
PhD Candidate @ NTU CCDS / Research Associate @ NUS IDS / Research Engineer @ CISCO NUS
Du Mingzhe (杜 明哲🔈) is a third-year PhD Candidate at the College of Computing and Data Science (CCDS), Nanyang Technological University (NTU), advised by Prof. Luu Anh Tuan. He is concurrently a Research Associate at the Institute of Data Science (IDS), National University of Singapore (NUS), working closely with Prof. See-Kiong Ng. Mingzhe obtained his Master’s degree from the University of Melbourne, under the guidance of Prof. Richard Sinnott. Before his PhD journey, Mingzhe developed Tiktok search engine at ByteDance.
Mingzhe’s research currently focuses on Code Generation and Preference Alignment.
If you are interested in collaborating, please feel free to connect!
- 📮: 3 Research Link, Singapore 117602
- 📧: mingzhe [at] nus.edu.sg / mingzhe001 [at] ntu.edu.sg / mz [at] alumni.unimelb.edu.au
- 🌠: [Google Scholar][LinkedIn][GitHub]
| Jun 09 2025 | Our paper “Collective Bias Mitigation via Model Routing and Collaboration” has been accepted into CFAgentic @ ICML’25. |
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| Jun 05 2025 | I was nominated as a CIKM’25 senior PC member. |
| Jun 02 2025 | I plan to attend ACL’25 (July 27 - August 3) in Vienna, Austria. |
| May 23 2025 | Our paper “CodeArena: A Collective Evaluation Platform for LLM Code Generation” has been accepted into ACL’25 (Demo) 🎉. |
| May 01 2025 | Our paper “AntiLeak-Bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge” has been accepted into ACL’25 (Main) 🎉. |
| May 01 2025 | Our paper “Position: Current Model Licensing Practices are Dragging Us into a Quagmire of Legal Noncompliance” has been accepted into ICML’25 (Oral) 🎉. |
| Apr 25 2025 | I attended ICLR’25 at Expo, Singapore. |
| Apr 20 2025 | I’ve launched an Information Exchange Platform between NTU and NUS to share upcoming events and opportunities. |
| Feb 01 2025 | I was nominated as a NeurIPS’25 reviewer. |
| Jan 11 2025 | I developed a multiple language remote runtime Monolith. Please feel free to have a try 😀. |
| Jan 06 2025 | Our paper “Unraveling Online Mental Health Through the Lens of Early Maladaptive Schemas: An AI-Enabled Study of Online Mental Health Communities” has been accepted into Journal of Medical Internet Research (JMIR). |
| Dec 09 2024 | Our paper “Towards Verifiable Text Generation with Generative Agent” has been accepted into AAAI’25 🎉 |
| Dec 01 2024 | I was nominated as an ICML’25 reviewer. |
| Nov 30 2024 | Our paper “Curriculum Demonstration Selection for In-Context Learning” has been accepted into SAC’25. |
| Nov 29 2024 | I completed the 10KM run at SCSM with a time of 58:58 🏃! |
| Nov 21 2024 | I passed the PhD Qualification Examination (QE) at NTU 🎉. |
| Nov 21 2024 | We released the Venus code generation dataset. |
| Oct 26 2024 | Our team, Black Mesa participated in the Singapore AI CTF and achieved an 23rd place out of more than 500 teams! 🎉 |
| Oct 01 2024 | I was nominated as an AISTATS’25 reviewer. |
| Sep 26 2024 | Our paper “Mercury: A Code Efficiency Benchmark for Code Large Language Models” has been accepted to NeurIPS’24 Track Datasets and Benchmarks 🎉 |
| Sep 12 2024 | Our paper “Counseling Responses for Mental Health Forum Questions with Early Maladaptive Schema Prediction” has been accepted to EACI’24 🎉 |
| Aug 28 2024 | I was nominated as an ICLR’25 reviewer. |
| Jun 17 2024 | We completed our new paper ‘Committee: Mitigating LLM Bias through Multi-agent Proposal and Vote’. |
| May 21 2024 | I was nominated as a NeurIPS’24 reviewer. |