2026 U Kang: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	39	9708	9429	102	102	164	7008

Overview

U Kang is affiliated with Seoul National University in South Korea and has contributed extensively to the field of computer science with a focus on artificial intelligence and related subfields. Their research output spans multiple specialized domains, including computer vision, information systems, and computational mathematics.

The main fields of study in U Kang's work include:

Computer Science

The scientist's subfields of study are:

Artificial Intelligence
Computer Vision and Pattern Recognition
Information Systems
Radiology, Nuclear Medicine and Imaging
Computational Mathematics

U Kang's research covers several prominent topics, notably:

Advanced Graph Neural Networks
Topic Modeling
Domain Adaptation and Few-Shot Learning
Recommender Systems and Techniques
Multimodal Machine Learning Applications
Tensor decomposition and applications
Graph Theory and Algorithms

The scientist has published papers in widely recognized venues, among which the most frequent include:

PLoS ONE
arXiv (Cornell University)
Knowledge and Information Systems
ACM Transactions on Knowledge Discovery from Data
2022 IEEE International Conference on Big Data (Big Data)

Selected recent papers authored by U Kang include:

"Falcon: Lightweight and Accurate Convolution Based on Depthwise Separable Convolution," 2023, Knowledge and Information Systems
"Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets," 2022, 2022 IEEE International Conference on Big Data (Big Data)
"Model-Agnostic Augmentation for Accurate Graph Classification," 2022, Proceedings of the ACM Web Conference 2022
"Accurate Node Feature Estimation with Structured Variational Graph Autoencoder," 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
"Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge," 2022, Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Frequent collaborators with whom U Kang has coauthored multiple papers include:

Jun-Gi Jang
Hyunsik Jeon
Jaemin Yoo
Jinhong Jung
Sooyeon Shim

Best Publications

PEGASUS: A Peta-Scale Graph Mining System Implementation and Observations

U. Kang;Charalampos E. Tsourakakis;Christos Faloutsos

948
Citations
DOULION: counting triangles in massive graphs with a coin

Charalampos E. Tsourakakis;U. Kang;Gary L. Miller;Christos Faloutsos

411
Citations
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries

U. Kang;Evangelos Papalexakis;Abhay Harpale;Christos Faloutsos

343
Citations
Clustering very large multi-dimensional datasets with MapReduce

Robson Leonardo Ferreira Cordeiro;Caetano Traina;Agma Juci Machado Traina;Julio López

226
Citations
PEGASUS: mining peta-scale graphs

U Kang;Charalampos E. Tsourakakis;Christos Faloutsos

201
Citations
Centralities in large networks: Algorithms and observations

U. Kang;Spiros Papadimitriou;Jimeng Sun;Hanghang Tong

197
Citations
SlashBurn: Graph Compression and Mining beyond Caveman Communities

Yongsub Lim;U Kang;Christos Faloutsos

180
Citations
Beyond 'Caveman Communities': Hubs and Spokes for Graph Compression and Mining

U. Kang;Christos Faloutsos

176
Citations
HaTen2: Billion-scale tensor decompositions

Inah Jeon;Evangelos E. Papalexakis;U Kang;Christos Faloutsos

173
Citations
GBASE: a scalable and general graph management system

U. Kang;Hanghang Tong;Jimeng Sun;Ching-Yung Lin

156
Citations
HADI: Mining Radii of Large Graphs

U. Kang;Charalampos E. Tsourakakis;Ana Paula Appel;Christos Faloutsos

150
Citations
VoG: Summarizing and understanding large graphs

Danai Koutra;U Kang;Jilles Vreeken;Christos Faloutsos

143
Citations
Unifying guilt-by-association approaches: theorems and fast algorithms

Danai Koutra;Tai-You Ke;U. Kang;Duen Horng Polo Chau

143
Citations
SIDE: Representation Learning in Signed Directed Networks

Junghwan Kim;Haekyu Park;Ji-Eun Lee;U Kang

141
Citations
Fast random walk graph kernel

U. Kang;Hanghang Tong;Jimeng Sun

134
Citations
Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts

Jaemin Yoo;Yejun Soun;Yong-chan Park;U Kang

121
Citations
Spectral analysis for billion-scale graphs: discoveries and implementation

U. Kang;Brendan Meeder;Christos Faloutsos

120
Citations
MASCOT: Memory-efficient and Accurate Sampling for Counting Local Triangles in Graph Streams

Yongsub Lim;U Kang

113
Citations
Summarizing and understanding large graphs

Danai Koutra;U Kang;Jilles Vreeken;Christos Faloutsos

102
Citations
BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs

Kijung Shin;Jinhong Jung;Sael Lee;U. Kang

96
Citations

Frequent Co-Authors

Christos Faloutsos Carnegie Mellon University

Hanghang Tong University of Illinois at Urbana-Champaign

Duen Horng Chau Georgia Institute of Technology

Danai Koutra University of Michigan–Ann Arbor

Leman Akoglu Carnegie Mellon University

Evangelos E. Papalexakis University of California, Riverside

Ching-Yung Lin National Chi Nan University

Jilles Vreeken Max Planck Society

Jure Leskovec Stanford University

Rasmus Pagh University of Copenhagen

External Links

Personal website of U Kang Google Scholar page

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