Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for John C. S. Lui

John C. S. Lui

Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits


Nov 06, 2020
Siwei Wang, Longbo Huang, John C. S. Lui

Figure 1 for Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits
Figure 2 for Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits

  Access Paper or Ask Questions

Online Competitive Influence Maximization


Jun 24, 2020
Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C. S. Lui, Wei Chen

Figure 1 for Online Competitive Influence Maximization
Figure 2 for Online Competitive Influence Maximization
Figure 3 for Online Competitive Influence Maximization
Figure 4 for Online Competitive Influence Maximization

  Access Paper or Ask Questions

Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions


Jan 16, 2020
Li Ye, Yishi Lin, Hong Xie, John C. S. Lui

Figure 1 for Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions
Figure 2 for Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions
Figure 3 for Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions
Figure 4 for Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions
* 19 pages, 10 figures, 7 tables 
  Access Paper or Ask Questions

Toward Building Conversational Recommender Systems: A Contextual Bandit Approach


Jun 04, 2019
Xiaoying Zhang, Hong Xie, Hang Li, John C. S. Lui

Figure 1 for Toward Building Conversational Recommender Systems: A Contextual Bandit Approach
Figure 2 for Toward Building Conversational Recommender Systems: A Contextual Bandit Approach
Figure 3 for Toward Building Conversational Recommender Systems: A Contextual Bandit Approach
Figure 4 for Toward Building Conversational Recommender Systems: A Contextual Bandit Approach
* 12 pages 
  Access Paper or Ask Questions

Community Exploration: From Offline Optimization to Online Learning


Nov 18, 2018
Xiaowei Chen, Weiran Huang, Wei Chen, John C. S. Lui

Figure 1 for Community Exploration: From Offline Optimization to Online Learning
Figure 2 for Community Exploration: From Offline Optimization to Online Learning
Figure 3 for Community Exploration: From Offline Optimization to Online Learning
Figure 4 for Community Exploration: From Offline Optimization to Online Learning
* full version of the nips'18 paper 
  Access Paper or Ask Questions

Graphlet Count Estimation via Convolutional Neural Networks


Oct 07, 2018
Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui, Konstantin Avrachenkov

Figure 1 for Graphlet Count Estimation via Convolutional Neural Networks
* Extended Abstract Accepted by Complex Networks 2018 
  Access Paper or Ask Questions

Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback


May 04, 2018
Kun Chen, Kechao Cai, Longbo Huang, John C. S. Lui

Figure 1 for Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback
Figure 2 for Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback
Figure 3 for Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback
* 8 pages, 12 figures 
  Access Paper or Ask Questions

Multi-level Feedback Web Links Selection Problem: Learning and Optimization


Sep 08, 2017
Kechao Cai, Kun Chen, Longbo Huang, John C. S. Lui

Figure 1 for Multi-level Feedback Web Links Selection Problem: Learning and Optimization
* 8 pages (with full proof), 4 figures, ICDM 2017 technical report 
  Access Paper or Ask Questions

Online Robust Subspace Tracking from Partial Information


Sep 20, 2011
Jun He, Laura Balzano, John C. S. Lui

Figure 1 for Online Robust Subspace Tracking from Partial Information
Figure 2 for Online Robust Subspace Tracking from Partial Information
Figure 3 for Online Robust Subspace Tracking from Partial Information
Figure 4 for Online Robust Subspace Tracking from Partial Information
* 28 pages, 12 figures 
  Access Paper or Ask Questions