Qian Wang

Qian Wang

CS Ph.D. candidate @ NUS

I am now a Computer Science Ph.D. candidate at National University of Singapore, advised by Prof. Bingsheng He.

At present, my research interest lies in LLM Multi-Agent Systems and Trustworthy AI. I believe LLMs should be developed and deployed in a way that benefits all of humanity, not just a privileged segment.

As a typical ENTP, I’m positive, outgoing, and full of curiosity. If you have any questions or research topics you’d like to discuss, please feel free to contact me at persdre@gmail.com. I am always open to collaborations. If you share similar interests or see potential synergies, please feel free to reach out via email!

And I welcome connections and enjoy discussing a variety of topics, including (but not limited to) life choices, PhD applications, research, and personal relationships. I offer 30-minute chats, and we can converse in either English or Chinese. If you’re interested, please send me an email with a few time slots that work for both of us, and we can schedule a time.

My Public Calendar

📚 Articles

I want to be a builder in this age. Beyond research, I enjoy reflecting on ideas, life, and everything in between. Visit my Articles page where I share reading notes, reflections, and original writing.

📝 Selective Publications

(I have listed some of my first-author papers here. My complete list of publications is available on my Google Scholar.)

  • [COLM 2025] Assessing Judging Bias in Large Reasoning Models: An Empirical Study Paper

  • [ACL 2025 Findings] & [ICLR 2025 FM-Wild Workshop (Oral)] MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs Paper Code

  • [LOG 2025 Oral] Less is More: Using Buffer Nodes to Reduce Excessive Majority Node Influence in Class Imbalance Graphs

  • [EMNLP 2024] CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading. Paper Code

  • [ICLR 2024] EX-Graph: A Pioneering Dataset Bridging Ethereum and X. Paper Code

💬 Projects

Here are a couple of projects I’m proud of:

  • SurviveSJTU Manual: I authored a chapter for the latest edition of the SurviveSJTU Manual—an online survival guide for students at Shanghai Jiao Tong University. You can browse the manual and my contributions on GitHub here.

💬 Invited Talks/Interviews

  • 2025, Qian was invited to give a talk at Qube Research & Technologies’ Singapore office on leveraging LLMs to make fair and unbiased judgments about factors.

  • 2025, Qian was invited to give a talk about how to utilize LLMs to make trading decisions in cryptocurrency market at AI4X 2025.

  • 2025, Qian was invited to give a talk about LLM-based human simulations, invited by Yunhai Wang of Renmin University of China. Slides

  • 2025, Qian was invited to give a talk about her ICLR 2025 BlogPost “Can LLMs Truly Simulate Humanity? A Deep Dive” by AI Time. You can watch the video here.

  • 2024, Qian was interviewed by the Open Source Promotion Plan (OSPP), a summer program organized by the Institute of Software at the Chinese Academy of Sciences. You can read the interview here.

  • 2023, Qian was invited to give a talk of EX-Graph at The Hong Kong University of Science and Technology (Guangzhou). Slides

📖 Educations

  • 2023 - Now, Ph.D. Student, Computer Science, National University of Singapore
  • 2019 - 2022, Bachelor, Computer Science with a Minor in Economics, National University of Singapore
  • 2017 - 2019, Undergraduate, Chemistry, Shanghai Jiao Tong University

🏆 Awards

💻 Internships

  • 2022, Algorithm Tutor, OI Wiki, GitHub
  • 2021, Backend Engineer Intern, Ant Group, Shanghai
  • 2020, Python Tutor, InterMine, University of Cambridge

🔥 Service

  • 2025, ICAIF 2025 Secure FinAI Contest Local Organizer
  • 2023 - Now, Seminar Organizer, Xtra Lab, NUS
  • 2023 - Now, Fire Warden, School of Computing, NUS