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

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 --- old ones ---

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

2020.07: One paper on "NAS for text recognition" is accepted by ECCV.

2020.06: Mr. Weihua Hu (Ph.D. student, CSE, Stanford) gives a talk on "Learning from Complex Relational Data".
2020.06: We are holding "KDD 2020 Tutorial: Advances in Recommender Systems", welcome to attend!
2020.06: Two papers on "AutoML in Noisy Label Learning" are accepted by ICML.
2020.05: Prof. Xinggang Wang (Asso. Prof, ECE, HUST) gives a talk on "Object detection".
2020.04: We are hosting KDD Cup 2020 AutoGraph Challenge, welcome to join and play.
2020.03: One survey on "few-shot learning" is accepted to ACM CSUR.
2020.02: We are organizing "Tensor Network Representations in Machine Learning@IJCAI-2020", welcome to attend.
2020.02: One paper is accepted by ICDE: "AutoML for Knowledge Graph Embedding".
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".