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Research Focus
My research focus on making machine learning faster, more compact and robust.
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, neural architecture search, few-shot learning, graph neural networks, knowledge graph
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Recruitment
Various positions at both industry companies and Tsinghua University 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.
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Recent News
--- old ones ---
- 2024.04: We received Excellent Fund Award (Tsinghua and Tencent Joint Laboratory).
- 2024.04: Our work on "AutoML for noisy label learning" has accepted to IEEE TPAMI.
- 2024.04: My student Guangyi Liu won Special prize on Tsinghua "Challenge Cup" (the only 1 in information track).
- 2024.04: Our works on AI4Drug are on news of Tsinghua University.
- 2024.04: Our work on "few-shot molecular property prediction" is accepted to IJCAI-2024.
- 2024.04: I was invited to give a talk at "Huawei Computing Youth Forum".
- 2024.04: Our perspective paper on "human-like learning from structured-data" was published in AAAI 2024.
- 2024.03: I was invited as an Area Chair for NeurIPS-2024.
- 2024.03: Our solution with CLGNN got 1st place on ogbn-mag.
- 2024.02: We got new funding support from Beijing Natural Science Fund.
- 2024.02: I was invited as an Area Chair for ACML-2024.
- 2024.02: Our paper on "Few-Shot Molecular Property Prediction" is accepted to TPAMI.
- 2024.02: I was elected as a Senior Member of IEEE.
- 2024.01: Our work on Nature Computational Science is High-lighted by NFSC.
- 2024.01: I was evaluated as one of outstanding faculty (Department of Electronic Engineering, Tsinghua University).
- 2024.01: I was invited as a Senior Program Committee for ECAI-2024.
- 2024.01: Two papers on knowledge graphs are accepted to ICLR-2024.
- 2024.01: I was invited as an Area Chair for CAI-2024.
- 2024.01: We got new funding support from Independent research program (EE, Tsinghua).
- 2024.01: We got new funding support on "Dynamic Network Scheduling" from MOST.
- 2023.12: Our work AutoBLM (TPAMI 2023) received First Prize paper from CCF Guangdong.
- 2023.12: Special prize for advising undergraduate research project (3 teachers in whole university).
- 2023.12: Our paper on "Multi-Agent Reinforcement Learning" is accepted to AAAI-2024.
- 2023.12: I will serve as an Area Chair for ICML-2024.
- 2023.12: I was selected to give an early career talk at AAAI-2024.
- 2023.12: I was invited to give a talk on "drug interaction prediction" at AI-TIME.
- 2023.12: Our paper on "knowledge-driven recommendation" is accepted to ICDE-2024.
- 2023.11: Our work on "Drug interaction prediction" has been accepted to Nat. Com (medicine).
- 2023.11: I was invited to give a talk on "biomedical network" at RIKEN.
- 2023.11: I will serve as an Area Chair for IJCAI-2024.
- 2023.11: We received best student paper award from ACAIT 2023.
- 2023.11: I was elected as a senior member of CAAI.
- 2023.10: Our solution RelEns got the first place in OGB Leaderboards (ogbl-wikikg2/biokg).
- 2023.10: I am among World's Top 2% Scientists (2023).
- 2023.10: We received Tencent CCF-Rhino bird Excellent Project.
- 2023.10: Our work on "Ensemble Learning for Knowledge Graph" has been accepted to EMNLP-2023.
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