| 2026 | AAAI | LampQ: Towards Accurate Layer-wise Mixed Precision Quantization for Vision Transformers. | Minjun Kim, Jaeri Lee, Jongjin Kim, Jeongin Yun, Yongmo Kwon, U Kang |
| 2026 | ACL | SharVeT: Similarity-aware Parameter Sharing with Vector-based Tuning for Efficient LLM Compression. | Jeongin Yun, Jaeri Lee, Jongjin Kim, Minjun Kim, Jinho Song, U Kang |
| 2026 | KDD | Fast and Accurate Online Coupled Matrix-Tensor Factorization via Frequency Regularization. | Yong-chan Park, Seungjoo Lee, U Kang |
| 2026 | WWW | Dual-level Reweighting for Positive-Unlabeled Graph Classification. | Junghun Kim, Shihyung Park, U Kang |
| 2026 | WSDM | Diffusion Models for Risk-Aware Portfolio Optimization. | Jihyeong Jeon, Jeongyoung Lee, U Kang |
| 2025 | AAAI | Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning. | Junghun Kim, Ka Hyun Park, Hoyoung Yoon, U Kang |
| 2025 | ACL | Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models. | Seungcheol Park, Jeongin Bae, Beomseok Kwon, Minjun Kim, Byeongwook Kim, Se Jung Kwon, U Kang, Dongsoo Lee |
| 2025 | CIKM | Entity-Aware Generative Retrieval for Personalized Contexts. | Jihyeong Jeon, Jiwon Lee, Cheol Ryu, U Kang |
| 2025 | CIKM | Mitigating Distribution Shift in Stock Price Data via Return-Volatility Normalization for Accurate Prediction. | Hyunwoo Lee, Jihyeong Jeon, Jaemin Hong, U Kang |
| 2025 | CIKM | Context-aware Sequential Bundle Recommendation via User-specific Representations. | Jaeri Lee, U Kang |
| 2025 | CIKM | SwaGNER: Leveraging Span-aware Grid Transformers for Accurate Nested Named Entity Recognition. | Seungjoo Lee, Yong-chan Park, U Kang |
| 2025 | ICDM | PiGLeT: Probabilistic Message Passing for Semi-Supervised Link Sign Prediction. | Ka Hyun Park, Junghun Kim, Jinhong Jung, U Kang |
| 2025 | ICLR | SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning. | Minjun Kim, Jongjin Kim, U Kang |
| 2025 | IJCAI | Zero-shot Quantization: A Comprehensive Survey. | Minjun Kim, Jaehyeon Choi, Jongkeun Lee, Wonjin Cho, U Kang |
| 2025 | IJCAI | Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Information. | Seungcheol Park, Sojin Lee, Jongjin Kim, Jinsik Lee, Hyunjik Jo, U Kang |
| 2025 | KDD | Accurate Graph-based Multi-Positive Unlabeled Learning via Disentangled Multi-view Feature Propagation. | Junghun Kim, Hoyoung Yoon, Ka Hyun Park, U Kang |
| 2025 | KDD | PuzzleTensor: A Method-Agnostic Data Transformation for Compact Tensor Factorization. | Yong-chan Park, Kisoo Kim, U Kang |
| 2025 | PAKDD | AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification. | Minjun Kim, Jaehyeon Choi, Seungjoo Lee, Jinhong Jung, U Kang |
| 2025 | PAKDD | DART: Diversified and Accurate Long-Tail Recommendation. | Jeongin Yun, Jaeri Lee, U Kang |
| 2025 | WSDM | Sequentially Diversified and Accurate Recommendations in Chronological Order for a Series of Users. | Jongjin Kim, U Kang |
| 2024 | CIKM | Fast and Accurate PARAFAC2 Decomposition for Time Range Queries on Irregular Tensors. | Jun-Gi Jang, Yong-chan Park, U Kang |
| 2024 | ICLR | Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models. | Seungcheol Park, Hojun Choi, U Kang |
| 2024 | Interspeech | Domain-Aware Data Selection for Speech Classification via Meta-Reweighting. | Junghun Kim, Ka Hyun Park, Hoyoung Yoon, U Kang |
| 2024 | KDD | FreQuant: A Reinforcement-Learning based Adaptive Portfolio Optimization with Multi-frequency Decomposition. | Jihyeong Jeon, Jiwon Park, Chanhee Park, U Kang |
| 2024 | KDD | Fast and Accurate Domain Adaptation for Irregular Tensor Decomposition. | Junghun Kim, Ka Hyun Park, Jun-Gi Jang, U Kang |
| 2024 | KDD | Fast Multidimensional Partial Fourier Transform with Automatic Hyperparameter Selection. | Yong-chan Park, Jongjin Kim, U Kang |
| 2024 | PAKDD | Accurate Semi-supervised Automatic Speech Recognition via Multi-hypotheses-Based Curriculum Learning. | Junghun Kim, Ka Hyun Park, U Kang |
| 2024 | WWW | Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating. | Hyunsik Jeon, Jong-eun Lee, Jeongin Yun, U Kang |
| 2023 | ICCV | Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance. | Huiwen Xu, U Kang |
| 2023 | KDD | Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors - Algorithm and Application. | Jun-Gi Jang, Jeongyoung Lee, Yong-chan Park, U Kang |
| 2023 | PAKDD | Aggregately Diversified Bundle Recommendation via Popularity Debiasing and Configuration-Aware Reranking. | Hyunsik Jeon, Jongjin Kim, Jaeri Lee, Jong-eun Lee, U Kang |
| 2023 | PAKDD | Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation. | Jongjin Kim, Hyunsik Jeon, Jaeri Lee, U Kang |
| 2022 | CIKM | Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge. | Hyunsik Jeon, Jongjin Kim, Hoyoung Yoon, Jaeri Lee, U Kang |
| 2022 | ICDE | DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors. | Jun-Gi Jang, U Kang |
| 2022 | KDD | Accurate Node Feature Estimation with Structured Variational Graph Autoencoder. | Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, U Kang |
| 2022 | WWW | MiDaS: Representative Sampling from Real-world Hypergraphs. | Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin |
| 2022 | WWW | Model-Agnostic Augmentation for Accurate Graph Classification. | Jaemin Yoo, Sooyeon Shim, U Kang |
| 2021 | CIKM | Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values. | Dawon Ahn, Seyun Kim, U Kang |
| 2021 | DSAA | Time-Aware Tensor Decomposition for Sparse Tensors. | Dawon Ahn, Jun-Gi Jang, U Kang |
| 2021 | ICDM | Accurate Graph-Based PU Learning without Class Prior. | Jaemin Yoo, Junghun Kim, Hoyoung Yoon, Geonsoo Kim, Changwon Jang, U Kang |
| 2021 | KDD | Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries. | Jun-Gi Jang, U Kang |
| 2021 | KDD | Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion. | Jaehun Jung, Jinhong Jung, U Kang |
| 2021 | KDD | Fast and Accurate Partial Fourier Transform for Time Series Data. | Yong-chan Park, Jun-Gi Jang, U Kang |
| 2021 | KDD | Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts. | Jaemin Yoo, Yejun Soun, Yong-chan Park, U Kang |
| 2021 | SDM | Attention-Based Autoregression for Accurate and Efficient Multivariate Time Series Forecasting. | Jaemin Yoo, U Kang |
| 2020 | CIKM | Gtensor: Fast and Accurate Tensor Analysis System using GPUs. | Dawon Ahn, Sangjun Son, U Kang |
| 2020 | EDBT | BalanSiNG: Fast and Scalable Generation of Realistic Signed Networks. | Jinhong Jung, Ha-Myung Park, U Kang |
| 2020 | ICDE | D-Tucker: Fast and Memory-Efficient Tucker Decomposition for Dense Tensors. | Jun-Gi Jang, U Kang |
| 2020 | PAKDD | Accurate News Recommendation Coalescing Personal and Global Temporal Preferences. | Bonhun Koo, Hyunsik Jeon, U Kang |
| 2020 | WSDM | Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference. | Jaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon |
| 2019 | IJCAI | Belief Propagation Network for Hard Inductive Semi-Supervised Learning. | Jaemin Yoo, Hyunsik Jeon, U Kang |
| 2019 | IROS | Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance. | Seungcheol Park, Shuyu Wang, Hunjung Lim, U Kang |
| 2018 | AAAI | PegasusN: A Scalable and Versatile Graph Mining System. | Ha-Myung Park, Chiwan Park, U Kang |
| 2018 | CIKM | Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range. | Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang |
| 2018 | ICDE | Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries. | Sejoon Oh, Namyong Park, Lee Sael, U Kang |
| 2018 | ICDE | TPA: Fast, Scalable, and Accurate Method for Approximate Random Walk with Restart on Billion Scale Graphs. | Minji Yoon, Jinhong Jung, U Kang |
| 2018 | WWW | SIDE: Representation Learning in Signed Directed Networks. | Junghwan Kim, Haekyu Park, Ji-Eun Lee, U Kang |
| 2018 | WWW | Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees. | Minji Yoon, Woojeong Jin, U Kang |
| 2018 | WSDM | Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs. | Saehan Jo, Jaemin Yoo, U Kang |
| 2017 | ICDE | Fast and Scalable Distributed Boolean Tensor Factorization. | Namyong Park, Sejoon Oh, U Kang |
| 2017 | ICDM | Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks. | Jaemin Yoo, Saehan Jo, U Kang |
| 2017 | SIGMOD | BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart. | Jinhong Jung, Namyong Park, Lee Sael, U Kang |
| 2016 | CIKM | PIN-TRUST: Fast Trust Propagation Exploiting Positive, Implicit, and Negative Information. | Min-Hee Jang, Christos Faloutsos, Sang-Wook Kim, U Kang, Jiwoon Ha |
| 2016 | CIKM | BIGtensor: Mining Billion-Scale Tensor Made Easy. | Namyong Park, Byungsoo Jeon, Jungwoo Lee, U Kang |
| 2016 | ICDE | SCouT: Scalable coupled matrix-tensor factorization - algorithm and discoveries. | Byungsoo Jeon, Inah Jeon, Lee Sael, U Kang |
| 2016 | ICDM | Personalized Ranking in Signed Networks Using Signed Random Walk with Restart. | Jinhong Jung, Woojeong Jin, Lee Sael, U Kang |
| 2016 | ICDM | Partition Aware Connected Component Computation in Distributed Systems. | Ha-Myung Park, Namyong Park, Sung-Hyon Myaeng, U Kang |
| 2016 | KDD | PTE: Enumerating Trillion Triangles On Distributed Systems. | Ha-Myung Park, Sung-Hyon Myaeng, U Kang |
| 2015 | ICDE | HaTen2: Billion-scale tensor decompositions. | Inah Jeon, Evangelos E. Papalexakis, U Kang, Christos Faloutsos |
| 2015 | ICDM | TeGViz: Distributed Tera-Scale Graph Generation and Visualization. | Byungsoo Jeon, Inah Jeon, U Kang |
| 2015 | KDD | MASCOT: Memory-efficient and Accurate Sampling for Counting Local Triangles in Graph Streams. | Yongsub Lim, U Kang |
| 2015 | SIGMOD | BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs. | Kijung Shin, Jinhong Jung, Lee Sael, U Kang |
| 2014 | CIKM | Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression. | Dongyeop Kang, Woosang Lim, Kijung Shin, Lee Sael, U Kang |
| 2014 | CIKM | Fast, Accurate, and Space-efficient Tracking of Time-weighted Frequent Items from Data Streams. | Yongsub Lim, Jihoon Choi, U Kang |
| 2014 | CIKM | MapReduce Triangle Enumeration With Guarantees. | Ha-Myung Park, Francesco Silvestri, U Kang, Rasmus Pagh |
| 2014 | ICDM | Eventera: Real-Time Event Recommendation System from Massive Heterogeneous Online Media. | Dongyeop Kang, DongGyun Han, Nahea Park, Sangtae Kim, U Kang, Soobin Lee |
| 2014 | ICDM | Distributed Methods for High-Dimensional and Large-Scale Tensor Factorization. | Kijung Shin, U Kang |
| 2014 | PAKDD | Net-Ray: Visualizing and Mining Billion-Scale Graphs. | U Kang, Jay Yoon Lee, Danai Koutra, Christos Faloutsos |
| 2014 | WWW | Link prediction based on generalized cluster information. | Jungeun Kim, Minsoo Choy, Daehoon Kim, U Kang |
| 2014 | WSDM | Big graph mining for the web and social media: algorithms, anomaly detection, and applications. | U Kang, Leman Akoglu, Duen Horng Chau |
| 2014 | SDM | VOG: Summarizing and Understanding Large Graphs. | Danai Koutra, U Kang, Jilles Vreeken, Christos Faloutsos |
| 2013 | ICDM | Demonstrating Interactive Multi-resolution Large Graph Exploration. | Zhiyuan Lin, Nan Cao, Hanghang Tong, Fei Wang, U Kang, Duen Horng (Polo) Chau |
| 2013 | WWW | Fast anomaly detection despite the duplicates. | Jay Yoon Lee, U Kang, Danai Koutra, Christos Faloutsos |
| 2012 | ICASSP | Pegasus: Mining billion-scale graphs in the cloud. | U Kang, Duen Horng Chau, Christos Faloutsos |
| 2012 | KDD | GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries. | U Kang, Evangelos E. Papalexakis, Abhay Harpale, Christos Faloutsos |
| 2012 | SIGMOD | OPAvion: mining and visualization in large graphs. | Leman Akoglu, Duen Horng Chau, U Kang, Danai Koutra, Christos Faloutsos |
| 2012 | SIGMOD | Managing and mining large graphs: patterns and algorithms. | Christos Faloutsos, U Kang |
| 2012 | SDM | Fast Random Walk Graph Kernel. | U Kang, Hanghang Tong, Jimeng Sun |
| 2011 | ICDE | Mining large graphs: Algorithms, inference, and discoveries. | U Kang, Duen Horng Chau, Christos Faloutsos |
| 2011 | ICDM | Beyond 'Caveman Communities': Hubs and Spokes for Graph Compression and Mining. | U Kang, Christos Faloutsos |
| 2011 | KDD | Clustering very large multi-dimensional datasets with MapReduce. | Robson Leonardo Ferreira Cordeiro, Caetano Traina Jr., Agma Juci Machado Traina, Julio Lpez, U Kang, Christos Faloutsos |
| 2011 | KDD | GBASE: a scalable and general graph management system. | U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos |
| 2011 | PAKDD | Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation. | U Kang, Brendan Meeder, Christos Faloutsos |
| 2011 | SDM | Centralities in Large Networks: Algorithms and Observations. | U Kang, Spiros Papadimitriou, Jimeng Sun, Hanghang Tong |
| 2010 | ICDM | Patterns on the Connected Components of Terabyte-Scale Graphs. | U Kang, Mary McGlohon, Leman Akoglu, Christos Faloutsos |
| 2010 | SDM | Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations. | U Kang, Charalampos E. Tsourakakis, Ana Paula Appel, Christos Faloutsos, Jure Leskovec |
| 2009 | ICDM | PEGASUS: A Peta-Scale Graph Mining System. | U Kang, Charalampos E. Tsourakakis, Christos Faloutsos |
| 2009 | KDD | DOULION: counting triangles in massive graphs with a coin. | Charalampos E. Tsourakakis, U Kang, Gary L. Miller, Christos Faloutsos |