5 citations · 16 across the 15 of their papers we have counts for
15 papers
Risk-Aware Safe Throughput Forecasting for Starlink Networks
Hongjun Xie, Chao Zhang, Pengcheng Luo +4
As a representative low Earth orbit (LEO) broadband system, Starlink exhibits highly variable access throughput, making short-term forecasting essential for network resource manage…
Uncertainty-Aware Instance Reweighting for Off-Policy Learning
Xiaoying Zhang, Junpu Chen, Hongning Wang +4
Off-policy learning, referring to the procedure of policy optimization with access only to logged feedback data, has shown importance in various real-world applications, such as se…
Interactive Log Parsing via Light-weight User Feedback
Liming Wang, Hong Xie, Ye Li +2
Template mining is one of the foundational tasks to support log analysis, which supports the diagnosis and troubleshooting of large scale Web applications. This paper develops a hu…
Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms
Xuchuang Wang, Hong Xie, John C. S. Lui
We generalize the multiple-play multi-armed bandits (MP-MAB) problem with a shareable arm setting, in which several plays can share the same arm. Furthermore, each shareable arm ha…
LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding
Zhi Qi, Hong Xie, Ye Li +3
This paper proposes LPC-AD, a fast and accurate multivariate time series (MTS) anomaly detection method. LPC-AD is motivated by the ever-increasing needs for fast and accurate MTS…
Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications
Xuchuang Wang, Hong Xie, John C. S. Lui
Multi-player multi-armed bandits (MMAB) study how decentralized players cooperatively play the same multi-armed bandit so as to maximize their total cumulative rewards. Existing MM…
Pricing Social Visibility Service in Online Social Networks: Modeling and Algorithms
Shiyuan Zheng, Hong Xie, John C. S. Lui
Online social networks (OSNs) such as YoutTube, Instagram, Twitter, Facebook, etc., serve as important platforms for users to share their information or content to friends or follo…
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…
Conversational Contextual Bandit: Algorithm and Application
Xiaoying Zhang, Hong Xie, Hang Li +1
Contextual bandit algorithms provide principled online learning solutions to balance the exploitation-exploration trade-off in various applications such as recommender systems. How…
Enhancing Semantic Word Representations by Embedding Deeper Word Relationships
Anupiya Nugaliyadde, Kok Wai Wong, Ferdous Sohel +1
Word representations are created using analogy context-based statistics and lexical relations on words. Word representations are inputs for the learning models in Natural Language…
Quantifying Deployability & Evolvability of Future Internet Architectures via Economic Models
Li Ye, Hong Xie, John C. S. Lui +1
Emerging new applications demand the current Internet to provide new functionalities. Although many future Internet architectures and protocols have been proposed to fulfill such n…
Measuring and Maximizing Influence via Random Walk in Social Activity Networks
Pengpeng Zhao, Yongkun Li, Hong Xie +3
With the popularity of OSNs, finding a set of most influential users (or nodes) so as to trigger the largest influence cascade is of significance. For example, companies may take a…
Mathematical Modeling of Insurance Mechanisms for E-commerce Systems
Hong Xie, John C. S. Lui
Electronic commerce (a.k.a. E-commerce) systems such as eBay and Taobao of Alibaba are becoming increasingly popular. Having an effective reputation system is critical to this type…
Mathematical Modeling of Product Rating: Sufficiency, Misbehavior and Aggregation Rules
Hong Xie, John C. S. Lui
Many web services like eBay, Tripadvisor, Epinions, etc, provide historical product ratings so that users can evaluate the quality of products. Product ratings are important since…
Mathematical Modeling of Competitive Group Recommendation Systems with Application to Peer Review Systems
Hong Xie, John C. S. Lui
In this paper, we present a mathematical model to capture various factors which may influence the accuracy of a competitive group recommendation system. We apply this model to peer…