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John C.S. Lui

The Chinese University of Hong Kong

77 papers hereh-index 6516k citations529 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author35
  • last author42

Across the 77 of 77 papers where every author was matched, so the position is known.

fields
  • cs.LG24
  • cs.SI19
  • cs.NI11
  • cs.PF4
  • cs.CR3
  • cs.DC3
affiliations
  • The Chinese University of Hong Kong
Homepage
same name
  • John C.S. Lui — 3 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20082023
most citedOnline Robust Subspace Tracking from Partial Information

101 citations · 451 across the 77 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.LG2020★ 11 cited

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

Siwei Wang, Longbo Huang, John C. S. Lui

We study the online restless bandit problem, where the state of each arm evolves according to a Markov chain, and the reward of pulling an arm depends on both the pulled arm and th…

cs.NI2020

Online VNF Chaining and Predictive Scheduling: Optimality and Trade-offs

Xi Huang, Simeng Bian, Xin Gao +4

For NFV systems, the key design space includes the function chaining for network requests and resource scheduling for servers. The problem is challenging since NFV systems usually…

cs.LG2020★ 5 cited

Online Competitive Influence Maximization

Jinhang Zuo, Xutong Liu, Carlee Joe-Wong +2

Online influence maximization has attracted much attention as a way to maximize influence spread through a social network while learning the values of unknown network parameters. M…

cs.LG2020★ 4 cited

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

Li Ye, Yishi Lin, Hong Xie +1

A fundamental question for companies with large amount of logged data is: How to use such logged data together with incoming streaming data to make good decisions? Many companies c…

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