About me

I am currently a fourth-year Ph.D. student in the Department of Computer Science & Engineering at The Chinese University of Hong Kong. I am a member of Advanced Networking and System Research Laboratory (ANSRLab) and my supervisor is Prof. John C.S. Lui. I receive my bachelor’s degree with honered rank(top 5% students) in the Department of Computer Science and Technology at University of Science and Technology of China in 2017.

My major interests are machine learning theory as well as stochastic modeling. Among them, combinatorial multi-armed bandit and provable efficient reinforcement learning are my recent research focus. In addiction, I am interested in network science, including research in social networks.

My CV is here/这里.

More about me can be found here.

Working Paper

Constraint-aware Combinatorial Semi-bandits via a Relaxation and Rounding Approach.
Xutong Liu, Ruofeng Yang, Shuai Li, Hong Xie, John C.S. Lui.
[Under Submission]

DCM-TS: Online Learning to Rank with Multiple Clicks via Thompson Sampling.
Xutong Liu, Shuai Li, John C.S. Lui.
[Under Submission]

Online Competitive Influence Maximization.
Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C.S. Lui, Wei Chen.
[Under Submission][arXiv]

Paper

Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning.
Xutong Liu, Jinhang Zuo, Xiaowei Chen, Wei Chen, John C.S. Lui.
[The 38th International Conference on Machine Learning, ICML (Long Oral), 2021.]
[link] [slides] [poster] [video] [arXiv]

Learning to Count: a Deep Learning Framework for Graphlet Count Estimation.
Xutong Liu, Yu-Zhen Chen, John C.S. Lui., Konstantin Avrachenkov.
Network Science Journal.
DOI: https://doi.org/10.1017/nws.2020.35.

Graphlet Count Estimation via Convolutional Neural Networks.
Xutong Liu, Yu-Zhen Chen, John Lui, Konstantin Avrachenkov.
COMPLEX NETWORKS, 2018.
[PDF]

An Online Learning Approach to Network Application Optimization with Guarantee.
Kechao Cai, Xutong Liu, Yuzhen Janice Chen, and John C.S. Lui.
IEEE International Conference on Computer Communications (INFOCOM), 2018.
[PDF]

Working Experience

Jun. 2019 - Sep. 2019
Microsoft Research Asia (MSRA) - Theory Group, Research Intern, mentored by Wei Chen.

Sep. 2016 - Jan. 2017
Microsoft - CJK Applied Science Team, Data Scientist Intern, mentored by Nicholas Jing Yuan.

Teaching

CSCI-2040 Introduction to Python.
CSCI-3320 Foundamentals of Machine Learning.

Courses

ENGG-5501 Foundation of Optimization.
IERG-5130 Probabilistic Models and Inference Algorithms for Machine Learning.
CSCI-5160 Advanced Algorithms.
STAT-5020 Topics in Multivariate Analysis.
IERG 5330 Network Economics.
CSCI-5320 Topics in Graph Algorithms.
SEEM-5380 Optimization Methods in High Dimension Statistics.

Hobbies

In my spare time, I love playing basketball and I am a big fan of KING JAMES (that is why I choose “James” as my English name). Music is one of my hobbies. I like listening to all kinds of music and can play a little guitar, ukelele and piano. I also enjoy playing Multi-player Online Battle Arena (MOBA), Honor of Kings in particular (1900+ summit score, top 20k players among 200M registered players).

Contact

Email:
liuxt2371 AT gmail DOT com
Address:
Rm.120, SHB, CUHK, Shatin, N.T., Hongkong.