Yu-Ren Liu @ LAMDA, NJU-CS

liuyr 

刘驭壬
Yu-Ren Liu
Ph.D. student, LAMDA Group
Department of Computer Science and Technology
National Key Laboratory for Novel Software Technology
Nanjing University, Nanjing 210023, China

Supervisor: Prof. Yang Yu

Email: liuyr@lamda.nju.edu.cn
Laboratory: Computer Science Building, Xianlin Campus of
Nanjing University

About Me

Currently I am a first-year Ph.D. student of Department of Computer Science and Technology and a member of LAMDA Group, led by professor Zhi-Hua Zhou. Before my Ph.D. career, I was an undergraduate student of Kuang Yaming Honors School (recommend enrollment without requiring college entrance examination), Nanjing University and received my B.Sc. degree in Computer Science and Technology on June, 2018. In the same year, I was admitted to study for a Ph.D. degree at Nanjing University without entrance examination.

Updates

Research Interests

My research interests include some sub-fields of Machine Learning and Optimization, specifically, I'm focused on:

Personally, I am also interested in quantitative trading and Machine Learning's applications in finance.

Manuscrips

ZOOpt: Toolbox for Derivative-Free Optimization.
Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu, Chao Qian.
arXiv:1801.00329v2 [cs.LG]
Submited to JMLR Machine Learning Open Source Software.

Works


chuangxin 
  • I've joined Sinovation AI Institute as a quantitative research intern. My work focuses on building a simulated A-share market using Reinforcement Learning related techniques.

meridian 
  • In the course of cooperative research with Meridian Global Inc - YRTech , 2018, I built a distributed optimization system for finding effective factors at Chinese A-share Market. Now I’m still working with a group on this project. Satisfactory results appeared when doing back test and the system will be used at the real A-share market soon.
ZOOpt 
  • I am the core developer of the open source python package ZOOpt, which provides efficient derivative-free solvers and is designed easy to use . ZOOpt toolbox particularly focuses on optimization problems in machine learning, addressing high-dimensional, noisy, and large-scale problems.

Awards & Honors

Academic Activities

Correspondence

Email: liuyr@lamda.nju.edu.cn

Laboratory: Computer Science Building, Xianlin Campus of Nanjing University

Address: Yu-Ren Liu, National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(南京市栖霞区仙林大道163号, 南京大学仙林校区603信箱, 软件新技术国家重点实验室, 210023.)