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

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.