Junhao Gan

Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems

Y Su, Y Zhao, S Erfani, J Gan, R Zhang

Conference Proceedings  |  2022  |  Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Detecting beneficial feature interactions is essential in recommender systems, and existing approaches achieve this by examining a..

An Almost Optimal Algorithm for Unbounded Search with Noisy Information

Junhao Gan, Anthony Wirth, Xin Zhang

Conference Proceedings  |  2022  |  Leibniz International Proceedings in Informatics

Given a sequence of integers, 𝒮 = s₁, s₂,… in ascending order, called the search domain, and an integer t, called the target, the..

Approximate Range Thresholding

Z Zhang, J Gan, Z Bao, SMH Kazemi, G Chen, F Zhu

Conference Proceedings  |  2022  |  Proceedings of the ACM SIGMOD International Conference on Management of Data

In this paper, we study the (approximate) Range Thresholding (RT) problem over streams. Each stream element is a d-dimensional poi..

Edge-based Local Push for Personalized PageRank

H Wang, Z Wei, J Gan, Y Yuan, X Du, JR Wen

Journal article  |  2022  |  Contemporary Mathematics

Personalized PageRank (PPR) is a popular node proximity metric in graph mining and network research. A single-source PPR (SSPPR) q..

Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push

H Wu, J Gan, Z Wei, R Zhang

Conference Proceedings  |  2021  |  Proceedings of the ACM SIGMOD International Conference on Management of Data

Personalized PageRank (PPR) is a critical measure of the importance of a node t to a source node s in a graph. The Single-Source P..

Dynamic Structural Clustering on Graphs

Boyu Ruan, Junhao Gan, Hao Wu, Anthony Wirth

Conference Proceedings  |  2021  |  SIGMOD '21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

\em Structural Clustering ($\strclu$) is one of the most popular graph clustering paradigms. In this paper, we consider &#..

Neural Graph Matching based Collaborative Filtering

Yixin Su, Rui Zhang, Sarah M Erfani, Junhao Gan

Conference Proceedings  |  2021  |  SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

User and item attributes are essential side-information; their interactions (i.e., their co-occurrence in the sample data) can sig..

Learning Based Distributed Tracking

Hao Wu, Junhao Gan, Rui Zhang

Conference Proceedings  |  2020  |  Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Inspired by the great success of machine learning in the past decade, people have been thinking about the possibility of improving..

Personalized PageRank to a Target Node, Revisited

Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang

Conference Proceedings  |  2020  |  Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Personalized PageRank (PPR) is a widely used node proximity measure in graph mining and network analysis. Given a source node s an..

Incremental preference adjustment: a graph-theoretical approach

Liangjun Song, Junhao Gan, Zhifeng Bao, Boyu Ruan, H Jagadish, Timos Sellis

Journal article  |  2020  |  The VLDB Journal

Learning users’ preferences is critical to personalized search and recommendation. Most such systems depend on lists of items rank..