U Kang - RankMe

200 papers A* 48A 26B 7Misc 1Journal 83Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Diffusion Models for Risk-Aware Portfolio Optimization. WSDM Jihyeong Jeon, Jeongyoung Lee, U Kang
2026	A*	`conf`	Dual-level Reweighting for Positive-Unlabeled Graph Classification. WWW Junghun Kim, Shihyung Park, U Kang
2026	J	`jnl`	Fast and Accurate Domain Adaptation for Irregular and Regular Tensor Decomposition. IEEE Trans. Knowl. Data Eng. Junghun Kim, Ka Hyun Park, Jun-Gi Jang, U Kang
2026	—	`conf`	Fast and Accurate Online Coupled Matrix-Tensor Factorization via Frequency Regularization. KDD (1) Yong-chan Park, Seungjoo Lee, U Kang
2026	A*	`conf`	LampQ: Towards Accurate Layer-wise Mixed Precision Quantization for Vision Transformers. AAAI Minjun Kim, Jaeri Lee, Jongjin Kim, Jeongin Yun, Yongmo Kwon, U Kang
2026	J	`jnl`	Prune-then-Quantize or Quantize-then-Prune? Understanding the Impact of Compression Order in Joint Model Compression. CoRR Minjun Kim, Jaehyeon Choi, Hyunwoo Yang, Jongjin Kim, Jinho Song, U Kang
2025	—	`conf`	Accurate Graph-based Multi-Positive Unlabeled Learning via Disentangled Multi-view Feature Propagation. KDD (2) Junghun Kim, Hoyoung Yoon, Ka Hyun Park, U Kang
2025	A*	`conf`	Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning. AAAI Junghun Kim, Ka Hyun Park, Hoyoung Yoon, U Kang
2025	A*	`conf`	Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Information. IJCAI Seungcheol Park, Sojin Lee, Jongjin Kim, Jinsik Lee, Hyunjik Jo, U Kang
2025	J	`jnl`	Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Information. CoRR Seungcheol Park, Sojin Lee, Jongjin Kim, Jinsik Lee, Hyunjik Jo, U Kang
2025	—	`conf`	AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification. PAKDD (2) Minjun Kim, Jaehyeon Choi, Seungjoo Lee, Jinhong Jung, U Kang
2025	J	`jnl`	AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification. CoRR Minjun Kim, Jaehyeon Choi, Seungjoo Lee, Jinhong Jung, U Kang
2025	A	`conf`	Context-aware Sequential Bundle Recommendation via User-specific Representations. CIKM Jaeri Lee, U Kang
2025	—	`conf`	DART: Diversified and Accurate Long-Tail Recommendation. PAKDD (3) Jeongin Yun, Jaeri Lee, U Kang
2025	A	`conf`	Entity-Aware Generative Retrieval for Personalized Contexts. CIKM Jihyeong Jeon, Jiwon Lee, Cheol Ryu, U Kang
2025	J	`jnl`	LampQ: Towards Accurate Layer-wise Mixed Precision Quantization for Vision Transformers. CoRR Minjun Kim, Jaeri Lee, Jongjin Kim, Jeongin Yun, Yongmo Kwon, U Kang
2025	A	`conf`	Mitigating Distribution Shift in Stock Price Data via Return-Volatility Normalization for Accurate Prediction. CIKM Hyunwoo Lee, Jihyeong Jeon, Jaemin Hong, U Kang
2025	J	`jnl`	Mitigating Distribution Shift in Stock Price Data via Return-Volatility Normalization for Accurate Prediction. CoRR Hyunwoo Lee, Jihyeong Jeon, Jaemin Hong, U Kang
2025	A*	`conf`	PiGLeT: Probabilistic Message Passing for Semi-Supervised Link Sign Prediction. ICDM Ka Hyun Park, Junghun Kim, Jinhong Jung, U Kang
2025	—	`conf`	PuzzleTensor: A Method-Agnostic Data Transformation for Compact Tensor Factorization. KDD (2) Yong-chan Park, Kisoo Kim, U Kang
2025	A	`conf`	Sequentially Diversified and Accurate Recommendations in Chronological Order for a Series of Users. WSDM Jongjin Kim, U Kang
2025	A	`conf`	SwaGNER: Leveraging Span-aware Grid Transformers for Accurate Nested Named Entity Recognition. CIKM Seungjoo Lee, Yong-chan Park, U Kang
2025	A*	`conf`	SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning. ICLR Minjun Kim, Jongjin Kim, U Kang
2025	—	`conf`	Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models. ACL (1) Seungcheol Park, Jeongin Bae, Beomseok Kwon, Minjun Kim, Byeongwook Kim, Se Jung Kwon, U Kang, Dongsoo Lee
2025	J	`jnl`	Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models. CoRR Seungcheol Park, Jeongin Bae, Beomseok Kwon, Minjun Kim, Byeongwook Kim, Se Jung Kwon, U Kang, Dongsoo Lee
2025	A*	`conf`	Zero-shot Quantization: A Comprehensive Survey. IJCAI Minjun Kim, Jaehyeon Choi, Jongkeun Lee, Wonjin Cho, U Kang
2025	J	`jnl`	Zero-shot Quantization: A Comprehensive Survey. CoRR Minjun Kim, Jaehyeon Choi, Jongkeun Lee, Wonjin Cho, U Kang
2024	J	`jnl`	A Comprehensive Survey of Compression Algorithms for Language Models. CoRR Seungcheol Park, Jaehyeon Choi, Sojin Lee, U Kang
2024	B	`conf`	Accurate Coupled Tensor Factorization with Knowledge Graph. IEEE Big Data Seungjoo Lee, Yong-chan Park, U Kang
2024	A*	`conf`	Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models. ICLR Seungcheol Park, Hojun Choi, U Kang
2024	—	`conf`	Accurate Semi-supervised Automatic Speech Recognition via Multi-hypotheses-Based Curriculum Learning. PAKDD (5) Junghun Kim, Ka Hyun Park, U Kang
2024	B	`conf`	Accurate Stock Movement Prediction via Multi-Scale and Multi-Domain Modeling. IEEE Big Data JinGee Kim, Yong-chan Park, Jaemin Hong, U Kang
2024	A*	`conf`	Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating. WWW Hyunsik Jeon, Jong-eun Lee, Jeongin Yun, U Kang
2024	J	`jnl`	DDC3N: Doppler-Driven Convolutional 3D Network for Human Action Recognition. IEEE Access Toshpulatov Mukhiddin, Wookey Lee, Suan Lee, Hoyoung Yoon, U Kang
2024	A	`conf`	Domain-Aware Data Selection for Speech Classification via Meta-Reweighting. INTERSPEECH Junghun Kim, Ka Hyun Park, Hoyoung Yoon, U Kang
2024	A*	`conf`	Fast Multidimensional Partial Fourier Transform with Automatic Hyperparameter Selection. KDD Yong-chan Park, Jongjin Kim, U Kang
2024	A*	`conf`	Fast and Accurate Domain Adaptation for Irregular Tensor Decomposition. KDD Junghun Kim, Ka Hyun Park, Jun-Gi Jang, U Kang
2024	A	`conf`	Fast and Accurate PARAFAC2 Decomposition for Time Range Queries on Irregular Tensors. CIKM Jun-Gi Jang, Yong-chan Park, U Kang
2024	A*	`conf`	FreQuant: A Reinforcement-Learning based Adaptive Portfolio Optimization with Multi-frequency Decomposition. KDD Jihyeong Jeon, Jiwon Park, Chanhee Park, U Kang
2024	J	`jnl`	PULL: PU-Learning-based Accurate Link Prediction. CoRR Junghun Kim, Ka Hyun Park, Hoyoung Yoon, U Kang
2024	J	`jnl`	Representative and Back-In-Time Sampling from Real-world Hypergraphs. ACM Trans. Knowl. Discov. Data Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin
2024	B	`conf`	Towards True Multi-interest Recommendation: Enhanced Scheme for Balanced Interest Training. IEEE Big Data Jaeri Lee, Jeongin Yun, U Kang
2023	J	`jnl`	Accurate Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating. CoRR Hyunsik Jeon, Jong-eun Lee, Jeongin Yun, U Kang
2023	J	`jnl`	Accurate Open-Set Recognition for Memory Workload. ACM Trans. Knowl. Discov. Data Jun-Gi Jang, Sooyeon Shim, Vladimir Egay, Jeeyong Lee, Jongmin Park, Suhyun Chae, U Kang
2023	—	`conf`	Aggregately Diversified Bundle Recommendation via Popularity Debiasing and Configuration-Aware Reranking. PAKDD (3) Hyunsik Jeon, Jongjin Kim, Jaeri Lee, Jong-eun Lee, U Kang
2023	—	`conf`	Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation. PAKDD (3) Jongjin Kim, Hyunsik Jeon, Jaeri Lee, U Kang
2023	J	`jnl`	Falcon: lightweight and accurate convolution based on depthwise separable convolution. Knowl. Inf. Syst. Jun-Gi Jang, Chun Quan, Hyun Dong Lee, U Kang
2023	A*	`conf`	Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors - Algorithm and Application. KDD Jun-Gi Jang, Jeongyoung Lee, Yong-chan Park, U Kang
2023	J	`jnl`	Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors - Algorithm and Application. CoRR Jun-Gi Jang, Jeongyoung Lee, Yong-chan Park, U Kang
2023	A*	`conf`	Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance. ICCV Huiwen Xu, U Kang
2023	J	`jnl`	Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance. CoRR Huiwen Xu, U Kang
2023	J	`jnl`	Knowledge-preserving Pruning for Pre-trained Language Models without Retraining. CoRR Seungcheol Park, Hojun Choi, U Kang
2023	J	`jnl`	Static and Streaming Tucker Decomposition for Dense Tensors. ACM Trans. Knowl. Discov. Data Jun-Gi Jang, U Kang
2022	A	`conf`	Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge. CIKM Hyunsik Jeon, Jongjin Kim, Hoyoung Yoon, Jaeri Lee, U Kang
2022	J	`jnl`	Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge. CoRR Hyunsik Jeon, Jongjin Kim, Hoyoung Yoon, Jaeri Lee, U Kang
2022	J	`jnl`	Accurate Bundle Matching and Generation via Multitask Learning with Partially Shared Parameters. CoRR Hyunsik Jeon, Jun-Gi Jang, Taehun Kim, U Kang
2022	A*	`conf`	Accurate Node Feature Estimation with Structured Variational Graph Autoencoder. KDD Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, U Kang
2022	J	`jnl`	Accurate Node Feature Estimation with Structured Variational Graph Autoencoder. CoRR Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, U Kang
2022	J	`jnl`	Accurate Open-set Recognition for Memory Workload. CoRR Jun-Gi Jang, Sooyeon Shim, Vladimir Egay, Jeeyong Lee, Jongmin Park, Suhyun Chae, U Kang
2022	B	`conf`	Accurate PARAFAC2 Decomposition for Temporal Irregular Tensors with Missing Values. IEEE Big Data Jun-Gi Jang, Jeongyoung Lee, Jiwon Park, U Kang
2022	B	`conf`	Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets. IEEE Big Data Yejun Soun, Jaemin Yoo, Minyong Cho, Jihyeong Jeon, U Kang
2022	A*	`conf`	DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors. ICDE Jun-Gi Jang, U Kang
2022	J	`jnl`	DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors. CoRR Jun-Gi Jang, U Kang
2022	J	`jnl`	Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation. CoRR Jongjin Kim, Hyunsik Jeon, Jaeri Lee, U Kang
2022	J	`jnl`	Finding Key Structures in MMORPG Graph with Hierarchical Graph Summarization. ACM Trans. Knowl. Discov. Data Jun-Gi Jang, Chaeheum Park, Changwon Jang, Geonsoo Kim, U Kang
2022	J	`jnl`	Graph-based PU learning for binary and multiclass classification without class prior. Knowl. Inf. Syst. Jaemin Yoo, Junghun Kim, Hoyoung Yoon, Geonsoo Kim, Changwon Jang, U Kang
2022	A*	`conf`	MiDaS: Representative Sampling from Real-world Hypergraphs. WWW Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin
2022	J	`jnl`	MiDaS: Representative Sampling from Real-world Hypergraphs. CoRR Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin
2022	A*	`conf`	Model-Agnostic Augmentation for Accurate Graph Classification. WWW Jaemin Yoo, Sooyeon Shim, U Kang
2022	J	`jnl`	Model-Agnostic Augmentation for Accurate Graph Classification. CoRR Jaemin Yoo, Sooyeon Shim, U Kang
2022	J	`jnl`	Time-aware tensor decomposition for sparse tensors. Mach. Learn. Dawon Ahn, Jun-Gi Jang, U Kang
2021	A*	`conf`	Accurate Graph-Based PU Learning without Class Prior. ICDM Jaemin Yoo, Junghun Kim, Hoyoung Yoon, Geonsoo Kim, Changwon Jang, U Kang
2021	A*	`conf`	Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts. KDD Jaemin Yoo, Yejun Soun, Yong-chan Park, U Kang
2021	A	`conf`	Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values. CIKM Dawon Ahn, Seyun Kim, U Kang
2021	J	`jnl`	Accurate relational reasoning in edge-labeled graphs by multi-labeled random walk with restart. World Wide Web Jinhong Jung, Woojeong Jin, Ha-Myung Park, U Kang
2021	A	`conf`	Attention-Based Autoregression for Accurate and Efficient Multivariate Time Series Forecasting. SDM Jaemin Yoo, U Kang
2021	A*	`conf`	Fast and Accurate Partial Fourier Transform for Time Series Data. KDD Yong-chan Park, Jun-Gi Jang, U Kang
2021	A*	`conf`	Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries. KDD Jun-Gi Jang, U Kang
2021	—	`ed.`	IEEE International Conference on Big Data and Smart Computing, BigComp 2021, Jeju Island, South Korea, January 17-20, 2021 BigComp Herwig Unger, Jinho Kim, U Kang, Chakchai So-In, Junping Du, Walid Saad, Young-Guk Ha, Christian Wagner, Julien Bourgeois, Chanboon Sathitwiriyawong, Hyuk-Yoon Kwon, Carson K. Leung
2021	A*	`conf`	Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion. KDD Jaehun Jung, Jinhong Jung, U Kang
2021	J	`jnl`	PGT: news recommendation coalescing personal and global temporal preferences. Knowl. Inf. Syst. Bonhun Koo, Hyunsik Jeon, U Kang
2021	B	`conf`	Time-Aware Tensor Decomposition for Sparse Tensors. DSAA Dawon Ahn, Jun-Gi Jang, U Kang
2021	J	`jnl`	Transfer alignment network for blind unsupervised domain adaptation. Knowl. Inf. Syst. Huiwen Xu, U Kang
2020	J	`jnl`	AUBER: Automated BERT Regularization. CoRR Hyun Dong Lee, Seongmin Lee, U Kang
2020	—	`conf`	Accurate News Recommendation Coalescing Personal and Global Temporal Preferences. PAKDD (1) Bonhun Koo, Hyunsik Jeon, U Kang
2020	B	`conf`	BalanSiNG: Fast and Scalable Generation of Realistic Signed Networks. EDBT Jinhong Jung, Ha-Myung Park, U Kang
2020	A*	`conf`	D-Tucker: Fast and Memory-Efficient Tucker Decomposition for Dense Tensors. ICDE Jun-Gi Jang, U Kang
2020	J	`jnl`	Ensemble Multi-Source Domain Adaptation with Pseudolabels. CoRR Seongmin Lee, Hyunsik Jeon, U Kang
2020	J	`jnl`	Fast Partial Fourier Transform. CoRR Yong-chan Park, Jun-Gi Jang, U Kang
2020	J	`jnl`	Finding Key Structures in MMORPG Graph with Hierarchical Graph Summarization. CoRR Jun-Gi Jang, Chaeheum Park, Changwon Jang, Geonsoo Kim, U Kang
2020	A	`conf`	Gtensor: Fast and Accurate Tensor Analysis System using GPUs. CIKM Dawon Ahn, Sangjun Son, U Kang
2020	J	`jnl`	Pea-KD: Parameter-efficient and Accurate Knowledge Distillation. CoRR Ikhyun Cho, U Kang
2020	J	`jnl`	Random walk-based ranking in signed social networks: model and algorithms. Knowl. Inf. Syst. Jinhong Jung, Woojeong Jin, U Kang
2020	A	`conf`	Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference. WSDM Jaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
2020	J	`jnl`	Signed Graph Diffusion Network. CoRR Jinhong Jung, Jaemin Yoo, U Kang
2020	J	`jnl`	T-GAP: Learning to Walk across Time for Temporal Knowledge Graph Completion. CoRR Jaehun Jung, Jinhong Jung, U Kang
2020	J	`jnl`	Time-Aware Tensor Decomposition for Missing Entry Prediction. CoRR Dawon Ahn, Jun-Gi Jang, U Kang
2019	A*	`conf`	Belief Propagation Network for Hard Inductive Semi-Supervised Learning. IJCAI Jaemin Yoo, Hyunsik Jeon, U Kang
2019	A	`conf`	Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance. IROS Seungcheol Park, Shuyu Wang, Hunjung Lim, U Kang
2019	—	`conf`	Data Context Adaptation for Accurate Recommendation with Additional Information. IEEE BigData Hyunsik Jeon, Bonhun Koo, U Kang
2019	J	`jnl`	Data Context Adaptation for Accurate Recommendation with Additional Information. CoRR Hyunsik Jeon, Bonhun Koo, U Kang
2019	J	`jnl`	FALCON: Fast and Lightweight Convolution for Compressing and Accelerating CNN. CoRR Chun Quan, Jun-Gi Jang, Hyun Dong Lee, U Kang
2019	J	`jnl`	FURL: Fixed-memory and uncertainty reducing local triangle counting for multigraph streams. Data Min. Knowl. Discov. Minsoo Jung, Yongsub Lim, Sunmin Lee, U Kang
2019	J	`jnl`	Fast and scalable method for distributed Boolean tensor factorization. VLDB J. Namyong Park, Sejoon Oh, U Kang
2019	J	`jnl`	High-Performance Tucker Factorization on Heterogeneous Platforms. IEEE Trans. Parallel Distributed Syst. Sejoon Oh, Namyong Park, Jun-Gi Jang, Lee Sael, U Kang
2019	J	`jnl`	How to Pick the Best Source Data? Measuring Transferability for Heterogeneous Domains. CoRR Seungcheol Park, Huiwen Xu, Taehun Kim, Inhwan Hwang, Kyung-Jun Kim, U Kang
2019	A*	`conf`	Knowledge Extraction with No Observable Data. NeurIPS Jaemin Yoo, Minyong Cho, Taebum Kim, U Kang
2019	J	`jnl`	PS-MCL: parallel shotgun coarsened Markov clustering of protein interaction networks. BMC Bioinform. Yongsub Lim, In-Jae Yu, Dongmin Seo, U Kang, Lee Sael
2018	J	`jnl`	Efficient Learning of Bounded-Treewidth Bayesian Networks from Complete and Incomplete Data Sets. CoRR Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang
2018	J	`jnl`	Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets. Int. J. Approx. Reason. Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang
2018	J	`jnl`	Enumerating Trillion Subgraphs On Distributed Systems. ACM Trans. Knowl. Discov. Data Ha-Myung Park, Francesco Silvestri, Rasmus Pagh, Chin-Wan Chung, Sung-Hyon Myaeng, U Kang
2018	A*	`conf`	Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees. WWW Minji Yoon, Woojeong Jin, U Kang
2018	A	`conf`	Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs. WSDM Saehan Jo, Jaemin Yoo, U Kang
2018	J	`jnl`	Memory-Efficient and Accurate Sampling for Counting Local Triangles in Graph Streams: From Simple to Multigraphs. ACM Trans. Knowl. Discov. Data Yongsub Lim, Minsoo Jung, U Kang
2018	A*	`conf`	PegasusN: A Scalable and Versatile Graph Mining System. AAAI Ha-Myung Park, Chiwan Park, U Kang
2018	A*	`conf`	SIDE: Representation Learning in Signed Directed Networks. WWW Junghwan Kim, Haekyu Park, Ji-Eun Lee, U Kang
2018	A*	`conf`	Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries. ICDE Sejoon Oh, Namyong Park, Lee Sael, U Kang
2018	A*	`conf`	TPA: Fast, Scalable, and Accurate Method for Approximate Random Walk with Restart on Billion Scale Graphs. ICDE Minji Yoon, Jinhong Jung, U Kang
2018	J	`jnl`	TR-SVD: Fast and Memory Efficient Method for Time Ranged Singular Value Decomposition. CoRR Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang
2018	A	`conf`	Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range. CIKM Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang
2017	J	`jnl`	A Comparative Study of Matrix Factorization and Random Walk with Restart in Recommender Systems. CoRR Haekyu Park, Jinhong Jung, U Kang
2017	—	`conf`	A New Question Answering Approach with Conceptual Graphs. CORIA Kyung-Min Kim, Jinhong Jung, Jihee Ryu, Ha-Myung Park, Joseph P. Joohee, Seokwoo Jeong, U Kang, Sung-Hyon Myaeng
2017	—	`conf`	A comparative study of matrix factorization and random walk with restart in recommender systems. IEEE BigData Haekyu Park, Jinhong Jung, U Kang
2017	—	`conf`	BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart. SIGMOD Conference Jinhong Jung, Namyong Park, Lee Sael, U Kang
2017	J	`jnl`	Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees. CoRR Minji Yoon, Woojeong Jin, U Kang
2017	A*	`conf`	Fast and Scalable Distributed Boolean Tensor Factorization. ICDE Namyong Park, Sejoon Oh, U Kang
2017	J	`jnl`	Fast, Accurate, and Scalable Method for Sparse Coupled Matrix-Tensor Factorization. CoRR Dongjin Choi, Jun-Gi Jang, U Kang
2017	J	`jnl`	Fully Scalable Methods for Distributed Tensor Factorization. IEEE Trans. Knowl. Data Eng. Kijung Shin, Lee Sael, U Kang
2017	J	`jnl`	MTP: discovering high quality partitions in real world graphs. World Wide Web Yongsub Lim, Won-Jo Lee, Ho-Jin Choi, U Kang
2017	J	`jnl`	PMV: Pre-partitioned Generalized Matrix-Vector Multiplication for Scalable Graph Mining. CoRR Chiwan Park, Ha-Myung Park, Minji Yoon, U Kang
2017	J	`jnl`	Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries. CoRR Sejoon Oh, Namyong Park, Lee Sael, U Kang
2017	A*	`conf`	Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks. ICDM Jaemin Yoo, Saehan Jo, U Kang
2017	J	`jnl`	Supervised and Extended Restart in Random Walks for Ranking and Link Prediction in Networks. CoRR Woojeong Jin, Jinhong Jung, U Kang
2017	J	`jnl`	TPA: Two Phase Approximation for Random Walk with Restart. CoRR Minji Yoon, Jinhong Jung, U Kang
2017	J	`jnl`	Time-weighted counting for recently frequent pattern mining in data streams. Knowl. Inf. Syst. Yongsub Lim, U Kang
2017	—	`ed.`	Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM, Jeju, South Korea, May 23, 2017, Revised Selected Papers PAKDD (Workshops) U Kang, Ee-Peng Lim, Jeffrey Xu Yu, Yang-Sae Moon
2017	J	`jnl`	UniWalk: Explainable and Accurate Recommendation for Rating and Network Data. CoRR Haekyu Park, Hyunsik Jeon, Junghwan Kim, Beunguk Ahn, U Kang
2016	A	`conf`	BIGtensor: Mining Billion-Scale Tensor Made Easy. CIKM Namyong Park, Byungsoo Jeon, Jungwoo Lee, U Kang
2016	J	`jnl`	FURL: Fixed-memory and Uncertainty Reducing Local Triangle Counting for Graph Streams. CoRR Minsoo Jung, Sunmin Lee, Yongsub Lim, U Kang
2016	—	`conf`	M-Flash: Fast Billion-Scale Graph Computation Using a Bimodal Block Processing Model. ECML/PKDD (2) Hugo Gualdron, Robson L. F. Cordeiro, José Fernando Rodrigues Jr., Duen Horng (Polo) Chau, Minsuk Kahng, U Kang
2016	J	`jnl`	Mining billion-scale tensors: algorithms and discoveries. VLDB J. Inah Jeon, Evangelos E. Papalexakis, Christos Faloutsos, Lee Sael, U Kang
2016	A	`conf`	PIN-TRUST: Fast Trust Propagation Exploiting Positive, Implicit, and Negative Information. CIKM Min-Hee Jang, Christos Faloutsos, Sang-Wook Kim, U Kang, Jiwoon Ha
2016	A*	`conf`	PTE: Enumerating Trillion Triangles On Distributed Systems. KDD Ha-Myung Park, Sung-Hyon Myaeng, U Kang
2016	A*	`conf`	Partition Aware Connected Component Computation in Distributed Systems. ICDM Ha-Myung Park, Namyong Park, Sung-Hyon Myaeng, U Kang
2016	A*	`conf`	Personalized Ranking in Signed Networks Using Signed Random Walk with Restart. ICDM Jinhong Jung, Woojeong Jin, Lee Sael, U Kang
2016	J	`jnl`	Random Walk with Restart on Large Graphs Using Block Elimination. ACM Trans. Database Syst. Jinhong Jung, Kijung Shin, Lee Sael, U Kang
2016	A*	`conf`	SCouT: Scalable coupled matrix-tensor factorization - algorithm and discoveries. ICDE Byungsoo Jeon, Inah Jeon, Lee Sael, U Kang
2015	—	`conf`	An extension of the automatic cross-association method with a 3-dimensional matrix. BigComp Won-Jo Lee, Chae-Gyun Lim, U Kang, Ho-Jin Choi
2015	—	`conf`	BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs. SIGMOD Conference Kijung Shin, Jinhong Jung, Lee Sael, U Kang
2015	—	`conf`	Discovering large subsets with high quality partitions in real world graphs. BigComp Yongsub Lim, Won-Jo Lee, Ho-Jin Choi, U Kang
2015	J	`jnl`	Fast graph mining with HBase. Inf. Sci. Ho Lee, Bin Shao, U Kang
2015	A*	`conf`	HaTen2: Billion-scale tensor decompositions. ICDE Inah Jeon, Evangelos E. Papalexakis, U Kang, Christos Faloutsos
2015	J	`jnl`	M-Flash: Fast Billion-scale Graph Computation Using Block Partition Model. CoRR Hugo Gualdron, Robson L. F. Cordeiro, José Fernando Rodrigues Jr., Duen Horng Chau, Minsuk Kahng, U Kang
2015	A*	`conf`	MASCOT: Memory-efficient and Accurate Sampling for Counting Local Triangles in Graph Streams. KDD Yongsub Lim, U Kang
2015	J	`jnl`	Reverse nearest neighbor search with a non-spatial aspect. Inf. Syst. Jeong-Hoon Park, Chin-Wan Chung, U Kang
2015	J	`jnl`	Scalable Tensor Mining. Big Data Res. Lee Sael, Inah Jeon, U Kang
2015	J	`jnl`	Summarizing and understanding large graphs. Stat. Anal. Data Min. Danai Koutra, U Kang, Jilles Vreeken, Christos Faloutsos
2015	—	`conf`	TeGViz: Distributed Tera-Scale Graph Generation and Visualization. ICDM Workshops Byungsoo Jeon, Inah Jeon, U Kang
2014	A	`conf`	Big graph mining for the web and social media: algorithms, anomaly detection, and applications. WSDM U Kang, Leman Akoglu, Duen Horng Chau
2014	A	`conf`	Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression. CIKM Dongyeop Kang, Woosang Lim, Kijung Shin, Lee Sael, U Kang
2014	A*	`conf`	Distributed Methods for High-Dimensional and Large-Scale Tensor Factorization. ICDM Kijung Shin, U Kang
2014	J	`jnl`	Distributed Methods for High-dimensional and Large-scale Tensor Factorization. CoRR Kijung Shin, U Kang
2014	—	`conf`	Eventera: Real-Time Event Recommendation System from Massive Heterogeneous Online Media. ICDM Workshops Dongyeop Kang, DongGyun Han, Nahea Park, Sangtae Kim, U Kang, Soobin Lee
2014	A	`conf`	Fast, Accurate, and Space-efficient Tracking of Time-weighted Frequent Items from Data Streams. CIKM Yongsub Lim, Jihoon Choi, U Kang
2014	J	`jnl`	HEigen: Spectral Analysis for Billion-Scale Graphs. IEEE Trans. Knowl. Data Eng. U Kang, Brendan Meeder, Evangelos E. Papalexakis, Christos Faloutsos
2014	—	`conf`	Link prediction based on generalized cluster information. WWW (Companion Volume) Jungeun Kim, Minsoo Choy, Daehoon Kim, U Kang
2014	—	`conf`	MMap: Fast billion-scale graph computation on a PC via memory mapping. IEEE BigData Zhiyuan Lin, Minsuk Kahng, Kaeser Md. Sabrin, Duen Horng (Polo) Chau, Ho Lee, U Kang
2014	A	`conf`	MapReduce Triangle Enumeration With Guarantees. CIKM Ha-Myung Park, Francesco Silvestri, U Kang, Rasmus Pagh
2014	—	`ch.`	Mining Tera-Scale Graphs with "Pegasus": Algorithms and Discoveries. Large-Scale Data Analytics U Kang, Christos Faloutsos
2014	—	`conf`	Net-Ray: Visualizing and Mining Billion-Scale Graphs. PAKDD (1) U Kang, Jay Yoon Lee, Danai Koutra, Christos Faloutsos
2014	J	`jnl`	SlashBurn: Graph Compression and Mining beyond Caveman Communities. IEEE Trans. Knowl. Data Eng. Yongsub Lim, U Kang, Christos Faloutsos
2014	A	`conf`	VOG: Summarizing and Understanding Large Graphs. SDM Danai Koutra, U Kang, Jilles Vreeken, Christos Faloutsos
2014	J	`jnl`	VoG: Summarizing and Understanding Large Graphs. CoRR Danai Koutra, U Kang, Jilles Vreeken, Christos Faloutsos
2013	—	`ch.`	Big Data Clustering. Data Clustering: Algorithms and Applications Hanghang Tong, U Kang
2013	—	`conf`	Demonstrating Interactive Multi-resolution Large Graph Exploration. ICDM Workshops Zhiyuan Lin, Nan Cao, Hanghang Tong, Fei Wang, U Kang, Duen Horng (Polo) Chau
2013	J	`jnl`	Fast and scalable approximate spectral graph matching for correspondence problems. Inf. Sci. U Kang, Martial Hebert, Soonyong Park
2013	—	`conf`	Fast anomaly detection despite the duplicates. WWW (Companion Volume) Jay Yoon Lee, U Kang, Danai Koutra, Christos Faloutsos
2013	J	`jnl`	Large Scale Tensor Decompositions: Algorithmic Developments and Applications. IEEE Data Eng. Bull. Evangelos E. Papalexakis, U Kang, Christos Faloutsos, Nicholas D. Sidiropoulos, Abhay Harpale
2013	—	`conf`	Leveraging memory mapping for fast and scalable graph computation on a PC. IEEE BigData Zhiyuan Lin, Duen Horng (Polo) Chau, U Kang
2012	J	`jnl`	Big graph mining: algorithms and discoveries. SIGKDD Explor. U Kang, Christos Faloutsos
2012	A	`conf`	Fast Random Walk Graph Kernel. SDM U Kang, Hanghang Tong, Jimeng Sun
2012	A*	`conf`	GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries. KDD U Kang, Evangelos E. Papalexakis, Abhay Harpale, Christos Faloutsos
2012	—	`conf`	Managing and mining large graphs: patterns and algorithms. SIGMOD Conference Christos Faloutsos, U Kang
2012	—	`—`	Mining Tera-Scale Graphs: Theory, Engineering and Discoveries. U Kang
2012	—	`conf`	OPAvion: mining and visualization in large graphs. SIGMOD Conference Leman Akoglu, Duen Horng Chau, U Kang, Danai Koutra, Christos Faloutsos
2012	Misc	`conf`	Pegasus: Mining billion-scale graphs in the cloud. ICASSP U Kang, Duen Horng Chau, Christos Faloutsos
2012	J	`jnl`	gbase: an efficient analysis platform for large graphs. VLDB J. U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos
2011	A*	`conf`	Beyond 'Caveman Communities': Hubs and Spokes for Graph Compression and Mining. ICDM U Kang, Christos Faloutsos
2011	A	`conf`	Centralities in Large Networks: Algorithms and Observations. SDM U Kang, Spiros Papadimitriou, Jimeng Sun, Hanghang Tong
2011	A*	`conf`	Clustering very large multi-dimensional datasets with MapReduce. KDD Robson Leonardo Ferreira Cordeiro, Caetano Traina Jr., Agma Juci Machado Traina, Julio López, U Kang, Christos Faloutsos
2011	A*	`conf`	GBASE: a scalable and general graph management system. KDD U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos
2011	J	`jnl`	HADI: Mining Radii of Large Graphs. ACM Trans. Knowl. Discov. Data U Kang, Charalampos E. Tsourakakis, Ana Paula Appel, Christos Faloutsos, Jure Leskovec
2011	A*	`conf`	Mining large graphs: Algorithms, inference, and discoveries. ICDE U Kang, Duen Horng Chau, Christos Faloutsos
2011	J	`jnl`	PEGASUS: mining peta-scale graphs. Knowl. Inf. Syst. U Kang, Charalampos E. Tsourakakis, Christos Faloutsos
2011	—	`conf`	Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation. PAKDD (2) U Kang, Brendan Meeder, Christos Faloutsos
2011	—	`conf`	Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms. ECML/PKDD (2) Danai Koutra, Tai-You Ke, U Kang, Duen Horng Chau, Hsing-Kuo Kenneth Pao, Christos Faloutsos
2010	A*	`conf`	Patterns on the Connected Components of Terabyte-Scale Graphs. ICDM U Kang, Mary McGlohon, Leman Akoglu, Christos Faloutsos
2010	A	`conf`	Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations. SDM U Kang, Charalampos E. Tsourakakis, Ana Paula Appel, Christos Faloutsos, Jure Leskovec
2009	A*	`conf`	DOULION: counting triangles in massive graphs with a coin. KDD Charalampos E. Tsourakakis, U Kang, Gary L. Miller, Christos Faloutsos
2009	A*	`conf`	PEGASUS: A Peta-Scale Graph Mining System. ICDM U Kang, Charalampos E. Tsourakakis, Christos Faloutsos