Massachusetts Institute of Technology (MIT), LABORATORY FOR INFORMATION and DECISION SYSTEMS (LIDS)
Jan, 2017 --- Aug, 2017
Under the invitation and supervision of Prof. Patrick Jaillet
Bio
Hello, my name is Haibin YU, a 5-th year PhD student at the School of Computing Department , National University of Singapore . It is my great honor to be co-supervised by Prof. Kian Hsiang Low and Prof. Patrick Jaillet . I obtained my bachelor degree in Mechanical Engineering and Automation Department, Beihang University (BUAA). My research interests include Bayesian non-parametric methods: Gaussian Process, Bayesian Optimization, Generative Models and Bayesian Deep Learning. My CV can be found [here]
Education
National University of Singapore, School of Computing
Aug, 2014 --- Feb, 2020
PhD Student
Beihang University, Mechanical Engineering
Sept, 2010 --- Jul, 2014
Bachelor of Engineering
Publications
Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression
Haibin Yu, Trong Nghia Hoang, Kian Hsiang Low and Patrick Jaillet In Proceedings of the Internatioanl Joint Conference of Neural Networks (IJCNN-19) [Paper] [CODE]
Bayesian Optimization Meets Bayesian Optimal Stopping
Zhongxiang Dai, Haibin Yu, Kian Hsiang Low and Patrick Jaillet In Proceedings of the 36th Internatioanl Conference of Machine Learning (ICML-19) [Paper] [Supp] [CODE]
Implicit Posterior Variational Inference for Deep Gaussian Process
Haibin Yu*, Yizhou Chen*, Kian Hsiang Low and Patrick Jaillet In Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS-19), [PDF] [CODE] (to be announced) Spotlight presentation, top 3%
Selected Competitions
JDD Global Digitalization Chanllege
Global Champion, 500000 RMB (80000 USD) prize
The task is to use the history changes of mobile device users in several cities and districts transfer between users, rate of mobile equipment users and others analog data in different districts and cities, set up reasonable forecast model, make dynamic population change forecast in various districts and counties of the city in the subsequent 15 days. [News (in Chinese)] [News (in English)]
Work Experiences
Advance AI, Singapore
April, 2018 --- July, 2018
Data Scientist Intern
National University of Singapore, Singapore
August, 2018 --- March, 2019
Research Assistant, advised by Prof. Kian Hsiang Low
Huawei Noah's Ark Lab, Beijing, China
April, 2019 --- July, 2019
Research Intern, advised by Dr. Changying Du
Selected Honors and Awards
Scholarship of Singapore and MIT Alliance Research Technology Outstanding Graduate of Beihang University
