Du Mingzhe

PhD Student @ NTU CCDS / Research Associate @ NUS IDS / Research Engineer @ CISCO NUS

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NTU

Du Mingzhe is a third-year PhD student at the College of Computing and Data Science (CCDS), Nanyang Technological University (NTU), supervised by Prof. Luu Anh Tuan. He is also a Research Associate at the Institute of Data Science (IDS), National University of Singapore (NUS), working closely with Prof. See-Kiong Ng. Mingzhe got his master’s degree at the University of Melbourne, under the guidance of Prof. Richard Sinnott. Before his PhD journey, Mingzhe developed Tiktok search engine at ByteDance.

Currently, Mingzhe’s research interests lie in Natural Language Processing (NLP) and its downstream tasks [Google Scholar]. By the way, his favorite drink is Iced Americano ☕️.

  • 📮: 3 Research Link, Singapore 117602
  • 📧: mingzhe [at] nus.edu.sg / mingzhe001 [at] ntu.edu.sg / mz [at] alumni.unimelb.edu.au

News

Oct 1 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.
May 13 2024 I attended The WebConf’24 in Sentosa, Singapore.
Feb 22 2024 I gave an oral presentation on AAAI’24.
Feb 20 2024 I attended AAAI’24 in Vancouver, Canada.
Feb 15 2024 We finished our new paper ‘Mercury: An Efficiency Benchmark for LLM Code Synthesis’.
Dec 19 2023 Our paper ‘Chain-of-Thought Improves Text Generation with Cititations’ has been accepted to AAAI’24 🎉
Dec 15 2023 Our paper ‘From Static to Dynamic: Knowledge Metabolism for Large Language Models’ has been accepted to AAAI’24 🎉
Dec 6 2023 I attended EMNLP’24 at Resorts World Convention Centre, Singapore.
Feb 7 2023 I attended AAAI23 in Washington, DC.
Feb 5 2023 Our paper “Identifying Checkworthy CURE Claims on Twitter” has been accepted to the TheWebConf2023 (WWW) 🎉
Dec 16 2022 Our paper “Constituency-informed and Constituency-constrained Extractive Question Answering with Heterogeneous Graph Transformer” has been accepted to TLDKS 2023 🎉
Dec 4 2022 Our team “Risk prediction modelling for central line associated blood stream infections (CLABSI)” won the First Runner-Up in “SG Healthcare Al Datathon & EXPO 2022” 🎉
Oct 25 2022 Our paper “Generating Reflective Questions for Engaging Gallery Visitors in ArtMuse” has been accepted to the AAAI’23 Demonstrations Program 🎉