Quanming Yao, 姚权铭

Quanming Yao (姚权铭)

Senior Scientist & Leader (machine learning research team)

E-mail: yaoquanming [AT] 4paradigm.com or qyaoaa [AT] connect.ust.hk

Github, Google Scholar, Zhihu, CV (Jnl, 2019)

About Me (full bio)

Dr. Quanming Yao is currently a senior scientist in 4Paradigm and leading the company's machine learning research group. He obtained his Ph.D. degree at the Department of Computer Science and Engineering of Hong Kong University of Science and Technology (HKUST) in 2018 and received his bachelor degree at HuaZhong University of Science and Technology (HUST) in 2013. He is a receipt of Wunwen Jun Prize of Excellence Youth of Artificial Intelligence (issued by CAAI), the runner up of Ph.D. Research Excellence Award (School of Engineering, HKUST), and a winner of Google Fellowship (in machine learning).

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.

Recent News -achieves-

Open Positions: Intern and full-time opportunities for Machine Learning Research@4Paradigm .

2020.01: Dr. Tongliang Liu (Assistant Professor, CSE, University of Sydney) gives a talk on "Weakly-supervised Learning".
2020.01: Two papers are accepted by WWW: "AutoML for Collaborative Filtering" and "Generalizing Knowledge Graph Completion".
2020.01: Mr. Zhitao (Rex) Ying (Ph.D. student, CSE, Stanford) gives a talk on "Graph Neural Network".
2020.01: I will serve as a Senior Program Committee for IJCAI-2020.
2019.12: Prof.Chuan Shi (CSE, BUPT) gives a talk on "Heterogeneous Information Network".
2019.12: I give an invited talk at "Young Scientist Forum @ Annual Meeting of China's Artificial Intelligence".
2019.11: Our faster optimization algorithm for neural architecture search (NAS) is accepted to AAAI-2020.
2019.11: We are organizing Weakly-supervised and Unsupervised Learning Workshop@SDM20, welcome to attend.
2019.10: Our intern Hansi's work receives Best Paper Awards on WSL Workshop@ACML19.
2019.10: I receive Wunwen Jun Prize for Excellence Youth of Artificial Intelligence (issued by CAAI).
2019.10: I give an invited talk at NJUTS on AutoML for Knowledge Graph Embedding.
2019.09: We are organizing AutoML competition on Weakly-supervised Learning@ACML19, welcome to play.
2019.09: I will serve as a guest editor of "AutoML Special Issue on TPAMI".
2019.09: We are organizing Weakly-supervised Learning Workshop@ACML19, welcome to attend.