Quanming Yao
(姚权铭)
Senior Scientist & Founding Leader (machine learning research team)
- 4Paradigm Inc.
Tenure-track Assistant Professor & Ph.D. Advisor
(incoming)
- ECE Department, Tsinghua University
E-mail: qyaoaa [AT] connect.ust.hk
Github,
Google Scholar,
Zhihu,
CV (Aug, 2020)
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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: machine learning, nonconvex optimization, automated machine learning
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Recent News
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- 2021.04: Mr. Rex (Zhitao) Ying (Ph.D student at Stanford) gives us a talk on "Learning to simulate using GNN".
- 2021.04: Dr. Hengshuang Zhao (Post-doc at Oxford) gives us a talk on "Advancing Visual Intelligence via Neural System Design".
- 2021.04: We are hosting "Weakly-supervised Learning Special issue" on Machine Learning Journal.
- 2021.03: We are hosting "Weakly-supervised Learning Workshop@IJCAI-2021".
- 2021.03: Mr. Xuanyi Dong (Ph.D. student at UTS) gives us a talk on "Neural Architecture Search".
- 2021.02: I was awarded as "Best Innovator" (4Paradigm. Inc).
- 2021.01: Three papers on "AutoML", "knowledge graph" and "low-rank optimization", are accepted by WebConf.
- 2020.12: I was awarded as "Young Scientist Awards" by "Hong Kong Institution of Science".
- 2020.12: One paper on "Heterogeneous Information Networks" is accepted to TKDD.
- 2020.11: I was selected as one of "Forbes 30 Under 30" (China).
- 2020.11: Dr. Wenhui Yu (Ph.D., Tsinghua) gives us a talk on "Graph Convolutional Network for Collaborative Filters".
- 2020.11: I was invited to give a talk at "之江国际青年人才论坛".
- 2020.11: Dr. Hao Wang (assistant professor, CSE, Rutgers) gives us a talk on "Bayesian Deep Learning".
- 2020.10: Two paper on "AutoML for Graph Neural Networks" and "AutoML for Knowledge Graph" are accepted to ICDE.
- 2020.09: Two paper on "Robust Collaborative Filtering" and "AutoML for Knowledge Graph" are accepted to NeurIPS.
- 2020.09: One paper on "Hyperspectral image" is accepted to TPAMI.
- 2020.09: Dr. Ruiming Tang (Senior Researcher, Huawei Noah's Ark Lab) gives us a talk on "Recommendation System".
- 2020.09: One paper on "Negative sampling for knowledge graph" is accepted to VLDBJ.
- 2020.08: Dr. Bo Han (Assistant Professor, CSE, HKBU) gives us a talk on "Trustworthy Representation Learning".
- 2020.08: I will serve as a Senior Program Committee for AAAI-2021.
- 2020.08: I will serve as an Area Chair for IJCAI-2021.
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