U Kang

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 113

Top Venues

Publications

Seungcheol Park, Hojun Choi, U Kang
Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models. ICLR (2024)
Junghun Kim, Ka Hyun Park, U Kang
Accurate Semi-supervised Automatic Speech Recognition via Multi-hypotheses-Based Curriculum Learning. PAKDD (5) (2024)
Yong-chan Park, Jongjin Kim, U Kang
Fast Multidimensional Partial Fourier Transform with Automatic Hyperparameter Selection. KDD (2024)
Toshpulatov Mukhiddin, Wookey Lee, Suan Lee, Hoyoung Yoon, U Kang
DDC3N: Doppler-Driven Convolutional 3D Network for Human Action Recognition. IEEE Access 12 (2024)
Jihyeong Jeon, Jiwon Park, Chanhee Park, U Kang
FreQuant: A Reinforcement-Learning based Adaptive Portfolio Optimization with Multi-frequency Decomposition. KDD (2024)
Hyunsik Jeon, Jong-eun Lee, Jeongin Yun, U Kang
Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating. WWW (2024)
Seungcheol Park, Jaehyeon Choi, Sojin Lee, U Kang
A Comprehensive Survey of Compression Algorithms for Language Models. CoRR (2024)
Junghun Kim, Ka Hyun Park, Jun-Gi Jang, U Kang
Fast and Accurate Domain Adaptation for Irregular Tensor Decomposition. KDD (2024)
Junghun Kim, Ka Hyun Park, Hoyoung Yoon, U Kang
PULL: PU-Learning-based Accurate Link Prediction. CoRR (2024)
Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin
Representative and Back-In-Time Sampling from Real-world Hypergraphs. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Huiwen Xu, U Kang
Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance. ICCV (2023)
Jun-Gi Jang, Sooyeon Shim, Vladimir Egay, Jeeyong Lee, Jongmin Park, Suhyun Chae, U Kang
Accurate Open-Set Recognition for Memory Workload. ACM Trans. Knowl. Discov. Data 17 (9) (2023)
Jun-Gi Jang, Jeongyoung Lee, Yong-chan Park, U Kang
Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors - Algorithm and Application. CoRR (2023)
Hyunsik Jeon, Jong-eun Lee, Jeongin Yun, U Kang
Accurate Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating. CoRR (2023)
Jun-Gi Jang, U Kang
Static and Streaming Tucker Decomposition for Dense Tensors. ACM Trans. Knowl. Discov. Data 17 (5) (2023)
Jun-Gi Jang, Jeongyoung Lee, Yong-chan Park, U Kang
Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors - Algorithm and Application. KDD (2023)
Seungcheol Park, Hojun Choi, U Kang
Knowledge-preserving Pruning for Pre-trained Language Models without Retraining. CoRR (2023)
Huiwen Xu, U Kang
Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance. CoRR (2023)
Jongjin Kim, Hyunsik Jeon, Jaeri Lee, U Kang
Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation. PAKDD (3) (2023)
Jun-Gi Jang, Chun Quan, Hyun Dong Lee, U Kang
Falcon: lightweight and accurate convolution based on depthwise separable convolution. Knowl. Inf. Syst. 65 (5) (2023)
Hyunsik Jeon, Jongjin Kim, Jaeri Lee, Jong-eun Lee, U Kang
Aggregately Diversified Bundle Recommendation via Popularity Debiasing and Configuration-Aware Reranking. PAKDD (3) (2023)
Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, U Kang
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder. CoRR (2022)
Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin
MiDaS: Representative Sampling from Real-world Hypergraphs. CoRR (2022)
Jaemin Yoo, Sooyeon Shim, U Kang
Model-Agnostic Augmentation for Accurate Graph Classification. WWW (2022)
Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin
MiDaS: Representative Sampling from Real-world Hypergraphs. WWW (2022)
Jongjin Kim, Hyunsik Jeon, Jaeri Lee, U Kang
Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation. CoRR (2022)
Jun-Gi Jang, U Kang
DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors. ICDE (2022)
Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, U Kang
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder. KDD (2022)
Jun-Gi Jang, Sooyeon Shim, Vladimir Egay, Jeeyong Lee, Jongmin Park, Suhyun Chae, U Kang
Accurate Open-set Recognition for Memory Workload. CoRR (2022)
Hyunsik Jeon, Jongjin Kim, Hoyoung Yoon, Jaeri Lee, U Kang
Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge. CIKM (2022)
Yejun Soun, Jaemin Yoo, Minyong Cho, Jihyeong Jeon, U Kang
Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets. Big Data (2022)
Dawon Ahn, Jun-Gi Jang, U Kang
Time-aware tensor decomposition for sparse tensors. Mach. Learn. 111 (4) (2022)
Hyunsik Jeon, Jun-Gi Jang, Taehun Kim, U Kang
Accurate Bundle Matching and Generation via Multitask Learning with Partially Shared Parameters. CoRR (2022)
Hyunsik Jeon, Jongjin Kim, Hoyoung Yoon, Jaeri Lee, U Kang
Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge. CoRR (2022)
Jun-Gi Jang, U Kang
DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors. CoRR (2022)
Jaemin Yoo, Sooyeon Shim, U Kang
Model-Agnostic Augmentation for Accurate Graph Classification. CoRR (2022)
Jaemin Yoo, Junghun Kim, Hoyoung Yoon, Geonsoo Kim, Changwon Jang, U Kang
Graph-based PU learning for binary and multiclass classification without class prior. Knowl. Inf. Syst. 64 (8) (2022)
Jun-Gi Jang, Chaeheum Park, Changwon Jang, Geonsoo Kim, U Kang
Finding Key Structures in MMORPG Graph with Hierarchical Graph Summarization. ACM Trans. Knowl. Discov. Data 16 (6) (2022)
Jun-Gi Jang, Jeongyoung Lee, Jiwon Park, U Kang
Accurate PARAFAC2 Decomposition for Temporal Irregular Tensors with Missing Values. Big Data (2022)
Dawon Ahn, Seyun Kim, U Kang
Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values. CIKM (2021)
Jaehun Jung, Jinhong Jung, U Kang
Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion. KDD (2021)
Jun-Gi Jang, U Kang
Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries. KDD (2021)
Huiwen Xu, U Kang
Transfer alignment network for blind unsupervised domain adaptation. Knowl. Inf. Syst. 63 (11) (2021)
Jaemin Yoo, Junghun Kim, Hoyoung Yoon, Geonsoo Kim, Changwon Jang, U Kang
Accurate Graph-Based PU Learning without Class Prior. ICDM (2021)
Jinhong Jung, Woojeong Jin, Ha-Myung Park, U Kang
Accurate relational reasoning in edge-labeled graphs by multi-labeled random walk with restart. World Wide Web 24 (4) (2021)
Bonhun Koo, Hyunsik Jeon, U Kang
PGT: news recommendation coalescing personal and global temporal preferences. Knowl. Inf. Syst. 63 (12) (2021)
Dawon Ahn, Jun-Gi Jang, U Kang
Time-Aware Tensor Decomposition for Sparse Tensors. DSAA (2021)
Jaemin Yoo, U Kang
Attention-Based Autoregression for Accurate and Efficient Multivariate Time Series Forecasting. SDM (2021)
Jaemin Yoo, Yejun Soun, Yong-chan Park, U Kang
Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts. KDD (2021)
Yong-chan Park, Jun-Gi Jang, U Kang
Fast and Accurate Partial Fourier Transform for Time Series Data. KDD (2021)
Ikhyun Cho, U Kang
Pea-KD: Parameter-efficient and Accurate Knowledge Distillation. CoRR (2020)
Yong-chan Park, Jun-Gi Jang, U Kang
Fast Partial Fourier Transform. CoRR (2020)
Jinhong Jung, Ha-Myung Park, U Kang
BalanSiNG: Fast and Scalable Generation of Realistic Signed Networks. EDBT (2020)
Jaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference. WSDM (2020)
Seongmin Lee, Hyunsik Jeon, U Kang
Ensemble Multi-Source Domain Adaptation with Pseudolabels. CoRR (2020)
Jaehun Jung, Jinhong Jung, U Kang
T-GAP: Learning to Walk across Time for Temporal Knowledge Graph Completion. CoRR (2020)
Dawon Ahn, Sangjun Son, U Kang
Gtensor: Fast and Accurate Tensor Analysis System using GPUs. CIKM (2020)
Jinhong Jung, Woojeong Jin, U Kang
Random walk-based ranking in signed social networks: model and algorithms. Knowl. Inf. Syst. 62 (2) (2020)
Jun-Gi Jang, Chaeheum Park, Changwon Jang, Geonsoo Kim, U Kang
Finding Key Structures in MMORPG Graph with Hierarchical Graph Summarization. CoRR (2020)
Dawon Ahn, Jun-Gi Jang, U Kang
Time-Aware Tensor Decomposition for Missing Entry Prediction. CoRR (2020)
Hyun Dong Lee, Seongmin Lee, U Kang
AUBER: Automated BERT Regularization. CoRR (2020)
Jinhong Jung, Jaemin Yoo, U Kang
Signed Graph Diffusion Network. CoRR (2020)
Jun-Gi Jang, U Kang
D-Tucker: Fast and Memory-Efficient Tucker Decomposition for Dense Tensors. ICDE (2020)
Bonhun Koo, Hyunsik Jeon, U Kang
Accurate News Recommendation Coalescing Personal and Global Temporal Preferences. PAKDD (1) (2020)
Jaemin Yoo, Minyong Cho, Taebum Kim, U Kang
Knowledge Extraction with No Observable Data. NeurIPS (2019)
Hyunsik Jeon, Bonhun Koo, U Kang
Data Context Adaptation for Accurate Recommendation with Additional Information. CoRR (2019)
Seungcheol Park, Shuyu Wang, Hunjung Lim, U Kang
Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance. IROS (2019)
Hyunsik Jeon, Bonhun Koo, U Kang
Data Context Adaptation for Accurate Recommendation with Additional Information. IEEE BigData (2019)
Seungcheol Park, Huiwen Xu, Taehun Kim, Inhwan Hwang, Kyung-Jun Kim, U Kang
How to Pick the Best Source Data? Measuring Transferability for Heterogeneous Domains. CoRR (2019)
Chun Quan, Jun-Gi Jang, Hyun Dong Lee, U Kang
FALCON: Fast and Lightweight Convolution for Compressing and Accelerating CNN. CoRR (2019)
Minsoo Jung, Yongsub Lim, Sunmin Lee, U Kang
FURL: Fixed-memory and uncertainty reducing local triangle counting for multigraph streams. Data Min. Knowl. Discov. 33 (5) (2019)
Yongsub Lim, In-Jae Yu, Dongmin Seo, U Kang, Lee Sael
PS-MCL: parallel shotgun coarsened Markov clustering of protein interaction networks. BMC Bioinform. (13) (2019)
Namyong Park, Sejoon Oh, U Kang
Fast and scalable method for distributed Boolean tensor factorization. VLDB J. 28 (4) (2019)
Jaemin Yoo, Hyunsik Jeon, U Kang
Belief Propagation Network for Hard Inductive Semi-Supervised Learning. IJCAI (2019)
Sejoon Oh, Namyong Park, Jun-Gi Jang, Lee Sael, U Kang
High-Performance Tucker Factorization on Heterogeneous Platforms. IEEE Trans. Parallel Distributed Syst. 30 (10) (2019)
Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang
Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets. Int. J. Approx. Reason. 95 (2018)
Sejoon Oh, Namyong Park, Lee Sael, U Kang
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries. ICDE (2018)
Ha-Myung Park, Francesco Silvestri, Rasmus Pagh, Chin-Wan Chung, Sung-Hyon Myaeng, U Kang
Enumerating Trillion Subgraphs On Distributed Systems. ACM Trans. Knowl. Discov. Data 12 (6) (2018)
Minji Yoon, Jinhong Jung, U Kang
TPA: Fast, Scalable, and Accurate Method for Approximate Random Walk with Restart on Billion Scale Graphs. ICDE (2018)
Ha-Myung Park, Chiwan Park, U Kang
PegasusN: A Scalable and Versatile Graph Mining System. AAAI (2018)
Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang
Efficient Learning of Bounded-Treewidth Bayesian Networks from Complete and Incomplete Data Sets. CoRR (2018)
Saehan Jo, Jaemin Yoo, U Kang
Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs. WSDM (2018)
Minji Yoon, Woojeong Jin, U Kang
Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees. WWW (2018)
Junghwan Kim, Haekyu Park, Ji-Eun Lee, U Kang
SIDE: Representation Learning in Signed Directed Networks. WWW (2018)
Yongsub Lim, Minsoo Jung, U Kang
Memory-Efficient and Accurate Sampling for Counting Local Triangles in Graph Streams: From Simple to Multigraphs. ACM Trans. Knowl. Discov. Data 12 (1) (2018)
Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang
TR-SVD: Fast and Memory Efficient Method for Time Ranged Singular Value Decomposition. CoRR (2018)
Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang
Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range. CIKM (2018)
Dongjin Choi, Jun-Gi Jang, U Kang
Fast, Accurate, and Scalable Method for Sparse Coupled Matrix-Tensor Factorization. CoRR (2017)
Jaemin Yoo, Saehan Jo, U Kang
Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks. ICDM (2017)
Haekyu Park, Jinhong Jung, U Kang
A Comparative Study of Matrix Factorization and Random Walk with Restart in Recommender Systems. CoRR (2017)
Yongsub Lim, U Kang
Time-weighted counting for recently frequent pattern mining in data streams. Knowl. Inf. Syst. 53 (2) (2017)
Minji Yoon, Jinhong Jung, U Kang
TPA: Two Phase Approximation for Random Walk with Restart. CoRR (2017)
Woojeong Jin, Jinhong Jung, U Kang
Supervised and Extended Restart in Random Walks for Ranking and Link Prediction in Networks. CoRR (2017)
Kijung Shin, Lee Sael, U Kang
Fully Scalable Methods for Distributed Tensor Factorization. IEEE Trans. Knowl. Data Eng. 29 (1) (2017)
Minji Yoon, Woojeong Jin, U Kang
Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees. CoRR (2017)
Yongsub Lim, Won-Jo Lee, Ho-Jin Choi, U Kang
MTP: discovering high quality partitions in real world graphs. World Wide Web 20 (3) (2017)
Haekyu Park, Hyunsik Jeon, Junghwan Kim, Beunguk Ahn, U Kang
UniWalk: Explainable and Accurate Recommendation for Rating and Network Data. CoRR (2017)
Namyong Park, Sejoon Oh, U Kang
Fast and Scalable Distributed Boolean Tensor Factorization. ICDE (2017)
Sejoon Oh, Namyong Park, Lee Sael, U Kang
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries. CoRR (2017)
Kyung-min Kim, Jinhong Jung, Jihee Ryu, Ha-Myung Park, Joseph P. Joohee, Seokwoo Jeong, U Kang, Sung-Hyon Myaeng
A New Question Answering Approach with Conceptual Graphs. CORIA (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

U Kang