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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) |
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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
- Postdoctoral Researchers
- Full-time Ph.D./ Master Program
- Research Engineers / Assistants
- For undergraduates, you may read this guideline to prepare yourself with our group.
Recent News --- old ones ---
- 2025.05: Our work on "LLM for Coding/Education" have been accepted to ACL.
- 2025.05: Our work on "Multi-Scenario Recommendation" has been accepted to KDD.
- 2025.05: Our work on "Molecule-Language Alignment" has been accepted to ICML.
- 2025.05: Our works on "Molecule-Text Language Model" and "LLM-Agent for AutoGraph" have been accepted to IJCAI.
- 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: Nomination Commitee for ICBS best paper in Theoretical Computer Science.
- 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.