Quanming Yao (姚权铭)

Associate Professor & Ph.D Advisor

Department of Electronic Engineering, Tsinghua University

also affiliate with Ph.D. Supervisor, Zhongguancun Institute of Artificial Intelligence

also affiliate with State Key laboratory of Space Network and Communications.

E-mail: qyaoaa [AT] connect.ust.hk / tsinghua.edu.cn

Office: 11-305 Room, Rohm Building, Tsinghua. Beijing, China, 100084 (MAP)

Group Code Repo on Github
My Photo

About Me

Dr. Quanming Yao currently is a tenure-track assistant professor at Department of Electronic Engineering, Tsinghua University. Before that, he spent three years from a researcher to a senior scientist in 4Paradigm INC, where he set up and led the company's machine learning research team. He obtained his Ph.D. degree at the Department of Computer Science and Engineering of Hong Kong University of Science and Technology (HKUST) and received his bachelor degree at HuaZhong University of Science and Technology (HUST).

He is a receipt of Inaugural winner of Intech Prize (Ant Group), Aharon Katzir Young Investigator Award (INNS), Forbes 30 Under 30 (China), and Google Fellowship (Google AI).

Group | Publications | Course | Experience | Projects | Awards | Service

Research Focus

My research focus on making machine learning more adaptable, compact and economic (i.e., parsimony Learning). I wish to develop easy and intuitive methods, which can be used by many others with, perhaps, not much professional knowledge of underneath methods.

Current key words: automated machine learning, few-shot learning, meta-learning, in-context learning, knowledge graph

Recruitment

Various positions at (1). Department of Electrical Engineering Tsinghua University, (2). Beijing Institute of Mathematical Sciences, (3). Hong Kong University of Science and Technology (Guangzhou Campus) are avaliable.
  • Postdoctoral Researchers
  • Full-time Ph.D./ Master Program
  • Research Engineers / Assistants
Details are here: in English, in Chinese, for International Students. Please email me if you are interested in above topics.
  • For undergraduates, you may read this guideline to prepare yourself with our group.

Recent News --- old ones ---   

  • 2025.04: Supervised 2nd prize on Tsinghua "Challenge Cup".
  • 2025.04: I am promoted to Associate Professor.
  • 2025.04: Invited to give a lecture on LLM for China Development Bank.
  • 2025.03: Received "Spark Award"(火花奖) on "LLM Agent" from Huawei.
  • 2025.03: Invited as an Area Chair for ACML-2025.
  • 2025.02: Invited as an Area Chair for NeurIPS-2025.
  • 2025.02: Served as a member of the doctoral defense committee with Prof.Michael and Prof.Volker in LMU Munich.
  • 2025.02: Invited as a Senior Action Editor of "Neural Network".
  • 2025.02: Gave a talk at "Tsinghua Sanya International Math Forum".
  • 2025.02: Our work on knowledge-aware reasoning is accepted to CPAL 2025.
  • 2025.01: Got new funding support from University's "Undergraduate education and teaching reform project".
  • 2025.01: Three papers (In-context Learning / Activity Cliff / Machine Unlearning) are accepted to ICLR 2024.
  • 2025.01: Received Excellence Award of Tencent AI-Lab Rhino Bird Project (2024 batch).
  • 2025.01: Appointed as young associate editor of Technology Review for Carbon Neutrality
  • 2024.12: Gave a talk at AI4S Workshop at ChinaData Conference.
  • 2024.12: Got new funding support from CCF-Ant Funding on Green Computation.
  • 2024.12: Group member Guangyi Liu received "Excellent Graduation Thesis" in Beijing Area.
  • 2024.12: Top 10 Innovation Solution (AI track, Beijing School Association for Science and Technology).
  • 2024.12: Received "Spark Award"(火花奖) on "LLM Reasoning" from Huawei.
  • 2024.12: Got new funding support from CCF-Huawei Funding on Trustworthy Learning.
  • 2024.12: Selected as "HuRun Under35s Entrepreneurial Pioneers".
  • 2024.12: Supervised undergraduate students to obtain Beijing Natural Science Foundation project.
  • 2024.11: Invited as an Area Chair for ICML-2025.
  • 2024.11: Gave a talk at AI Workshop hold by John Hopcroft center of HUST.
  • 2024.11: Serve as an Action Editor for Transactions on Machine Learning Research.
  • 2024.11: Our work on "Out-of-graph Node Representation Learning" has been accepted to Neural Network.
  • 2024.11: Received 3rd Prize on "National Challenge Cup" (Anti-Fraud Special Competition).
  • 2024.11: Gave a talk at "HKU EE - THU EE Workshop".
  • 2024.11: Invited give a keynote at AIGC 2024.
  • 2024.11: Our pespective paper on "Parsimony Learning" has been accepted to "AI Magazine".
  • 2024.11: Our work on "Tensor decomposition for knowledge graph" has been accepted to ACM TIST.
  • 2024.11: Invited as an Area Chair for IJCAI-2025.
  • 2024.11: Our work on "Hyper-relational knowledge base" has been accepted to ACM TKDD.