J
Jiawei Han
Researcher at University of Illinois at Urbana–Champaign
Publications - 1302
Citations - 155054
Jiawei Han is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Cluster analysis & Knowledge extraction. The author has an hindex of 168, co-authored 1233 publications receiving 143427 citations. Previous affiliations of Jiawei Han include Georgia Institute of Technology & United States Army Research Laboratory.
Papers
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Proceedings Article
Selective Labeling via Error Bound Minimization
TL;DR: This work derives a deterministic out-of-sample error bound for LapRLS trained on subsampled data, and proposes to select a subset of data points to label by minimizing this upper bound by projected gradient descent.
Journal ArticleDOI
Deep multiplex graph infomax: Attentive multiplex network embedding using global information
TL;DR: This work presents an unsupervised network embedding method for attributed multiplex network called DMGI, inspired by Deep Graph Infomax, that maximizes the mutual information between local patches of a graph, and the global representation of the entire graph.
Book ChapterDOI
Sequential Pattern Mining
TL;DR: This chapter will present a thorough overview and analysis of the main approaches to sequential pattern mining.
Proceedings ArticleDOI
Continuous K-nearest neighbor search for moving objects
Yifan Li,Jiong Yang,Jiawei Han +2 more
TL;DR: A beach-line algorithm is developed to monitor the change of the k-th neighbor, which enables us to maintain the KNN incrementally and outperforms the most efficient existing algorithm by a wide margin.
Proceedings ArticleDOI
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding
TL;DR: A weakly-supervised approach for aspect-based sentiment analysis, which uses only a few keywords describing each aspect/sentiment without using any labeled examples, which generates quality joint topics and outperforms the baselines significantly on benchmark datasets.