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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 an associate 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). He was also invited to give early career talks at AAAI 2024 and IJCAI 2025.
Group | Publications | Course | Experience | Projects | Awards | Service
Research Focus
Our research is centered on developing automated, efficient, and robust machine learning models for structured relational data, with a significant emphasis on graphs and knowledge bases. In our work, I aim to connect foundational theory and novel algorithms with high-impact applications, particularly in the scientific domain.
Current key words: automated machine learning, few-shot learning, meta-learning, in-context learning, knowledge graph
Recruitment
- For undergraduates, you may read this guideline to prepare yourself with our group.
- Here is a quick guidance to our group from deepseek. While there are some hallucination errors, most of the feelings are correct.
Recent News --- old ones ---
- 2025.08: Our work on "Merging LLMs" has been accepted to EMNLP.
- 2025.08: Early Career Spotlight Talk at IJCAI-25.
- 2025.08: Serve as an AC for ICLR 2026.
- 2025.08: Invited to give a machine learning lecture at ICBS 2025.
- 2025.07: Serve as a SPC for AAAI 2026.
- 2025.07: Excellence Mentor for "AI+System" Special Calss.
- 2025.06: Invited Prof.James Kwok as a Distinglish Visiting Profs to Tsinghua University.
- 2025.06: Serve as an Expert Judge for "AFAC 2025 Advanced FinTech AI Competition".
- 2025.06: We are holding ACM Conext-2025 Workshop on the Polymorphic Network.
- 2025.06: Got new funding support from Huawei on "GUI Agent".
- 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.