Joonseok Lee

125 papers A* 26A 18B 3C 1Misc 3Journal 58Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Scalable Inter-edge Correlation Modeling in CopulaGNN for Link Sign Prediction.
CoRR
Jinkyu Sung, Myunggeum Jee, Joonseok Lee
2026 J jnl
Efficient Generative Modeling beyond Memoryless Diffusion via Adjoint Schrödinger Bridge Matching.
CoRR
Jeongwoo Shin, Jinhwan Sul, Joonseok Lee, Jaewong Choi, Jaemoo Choi
2026 J jnl
Is There a Better Source Distribution than Gaussian? Exploring Source Distributions for Image Flow Matching.
Trans. Mach. Learn. Res.
Junho Lee, Kwanseok Kim, Joonseok Lee
2026 J jnl
QUATRO: Query-Adaptive Trust Region Policy Optimization for LLM Fine-tuning.
CoRR
Doyeon Lee, Eunyi Lyou, Hyunsoo Cho, Sookyung Kim, Joonseok Lee, Jaemoo Choi
2026 J jnl
Towards Motion-aware Referring Image Segmentation.
CoRR
Chaeyun Kim, Seunghoon Yi, Yejin Kim, Yohan Jo, Joonseok Lee
2026 J jnl
TripleSumm: Adaptive Triple-Modality Fusion for Video Summarization.
CoRR
Sumin Kim, Hyemin Jeong, Mingu Kang, Yejin Kim, Yoori Oh, Joonseok Lee
2025 J jnl
A Revisit to the Decoder for Camouflaged Object Detection.
CoRR
Seung Woo Ko, Joopyo Hong, Suyoung Kim, Seungjai Bang, Sungzoon Cho, Nojun Kwak, Hyung-Sin Kim, Joonseok Lee
2025 J jnl
DIAMOND: An LLM-Driven Agent for Context-Aware Baseball Highlight Summarization.
CoRR
Jeonghun Kang, Soonmok Kwon, Joonseok Lee, Byung-Hak Kim
2025 Misc conf
Diff4Steer: Steerable Diffusion Prior for Generative Music Retrieval with Semantic Guidance.
ICASSP
Xuchan Bao, Judith Yue Li, Zhong Yi Wan, Kun Su, Timo I. Denk, Joonseok Lee, Dima Kuzmin, Fei Sha
2025 — conf
GaussianVideo: Efficient Video Representation and Compression by Gaussian Splatting.
CVPR Workshops
Inseo Lee, Youngyoon Choi, Joonseok Lee
2025 J jnl
GaussianVideo: Efficient Video Representation and Compression by Gaussian Splatting.
CoRR
Inseo Lee, Youngyoon Choi, Joonseok Lee
2025 A* conf
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation.
SIGIR
Chanwoo Kim, Jinkyu Sung, Yebonn Han, Joonseok Lee
2025 J jnl
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation.
CoRR
Chanwoo Kim, Jinkyu Sung, Yebonn Han, Joonseok Lee
2025 J jnl
HangCon: Benchmark Data Set for Enhanced Detection of Hanging Objects in Construction Sites.
J. Comput. Civ. Eng.
Gilsu Jeong, Seongeun Park, Joonseok Lee, Moonseo Park, Changbum R. Ahn
2025 J jnl
Is There a Better Source Distribution than Gaussian? Exploring Source Distributions for Image Flow Matching.
CoRR
Junho Lee, Kwanseok Kim, Joonseok Lee
2025 — conf
Joint Object Detection and Sound Source Separation.
ISMIR
Sunyoo Kim, Yunjeong Choi, Doyeon Lee, Seoyoung Lee, Eunyi Lyou, Seungju Kim, Junhyug Noh, Joonseok Lee
2025 J jnl
Latent Diffusion Models with Masked AutoEncoders.
CoRR
Junho Lee, Jeongwoo Shin, Hyungwook Choi, Joonseok Lee
2025 J jnl
Latent Expression Generation for Referring Image Segmentation and Grounding.
CoRR
Seonghoon Yu, Junbeom Hong, Joonseok Lee, Jeany Son
2025 A conf
Local Large Language Models for Recommendation.
CIKM
Yujin Jeon, Jooyoung Kim, Joonseok Lee
2025 — conf
Mixture of Conditional Attention for Multimodal Fusion in Sequential Recommendation.
PAKDD (3)
Sewon Lee, Kwangeun Yeo, Eungi Kim, Jinri Kim, Chanwoo Kim, Yujin Jeon, Jooyoung Kim, Joonseok Lee
2025 — conf
ReducedGCN: Learning to Adapt Graph Convolution for Top-N Recommendation.
PAKDD (3)
Eungi Kim, Chanwoo Kim, Kwangeun Yeo, Jinri Kim, Yujin Jeon, Sewon Lee, Joonseok Lee
2025 J jnl
SCALE: Upscaled Continual Learning of Large Language Models.
CoRR
Jin-Woo Lee, Junhwa Choi, Bongkyu Hwang, Jinho Choo, Bogun Kim, JeongSeon Yi, Joonseok Lee, DongYoung Jung, Jaeseon Park, Kyoungwon Park, Suk Hoon Jung
2025 J jnl
Self-Guided Masked Autoencoder.
CoRR
Jeongwoo Shin, Inseo Lee, Junho Lee, Joonseok Lee
2025 J jnl
SummDiff: Generative Modeling of Video Summarization with Diffusion.
CoRR
Kwanseok Kim, Jaehoon Hahm, Sumin Kim, Jinhwan Sul, Byunghak Kim, Joonseok Lee
2025 A* conf
Towards Scalable Human-aligned Benchmark for Text-guided Image Editing.
CVPR
Suho Ryu, Kihyun Kim, Eugene Baek, Dongsoo Shin, Joonseok Lee
2025 J jnl
Towards Scalable Human-aligned Benchmark for Text-guided Image Editing.
CoRR
Suho Ryu, Kihyun Kim, Eugene Baek, Dongsoo Shin, Joonseok Lee
2025 J jnl
Video Parallel Scaling: Aggregating Diverse Frame Subsets for VideoLLMs.
CoRR
Hyungjin Chung, Hyelin Nam, Jiyeon Kim, Hyojun Go, Byeongjun Park, Junho Kim, Joonseok Lee, Seongsu Ha, Byung-Hoon Kim
2024 A conf
A Revisit to the Decoder for Camouflaged Object Detection.
BMVC
Seung Woo Ko, Joopyo Hong, Suyoung Kim, Seungjai Bang, Sungzoon Cho, Nojun Kwak, Hyung-Sin Kim, Joonseok Lee
2024 A* conf
Content-based Graph Reconstruction for Cold-start Item Recommendation.
SIGIR
Jinri Kim, Eungi Kim, Kwangeun Yeo, Yujin Jeon, Chanwoo Kim, Sewon Lee, Joonseok Lee
2024 A* conf
Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks.
ICLR
Suhwan Choi, Myeongho Jeon, Yeonjung Hwang, Jeonglyul Oh, Sungjun Lim, Joonseok Lee, Myungjoo Kang
2024 J jnl
Diff4Steer: Steerable Diffusion Prior for Generative Music Retrieval with Semantic Guidance.
CoRR
Xuchan Bao, Judith Yue Li, Zhong Yi Wan, Kun Su, Timo I. Denk, Joonseok Lee, Dima Kuzmin, Fei Sha
2024 — conf
Finding NeMo: Negative-Mined Mosaic Augmentation for Referring Image Segmentation.
ECCV (69)
Seongsu Ha, Chaeyun Kim, Donghwa Kim, Junho Lee, Sangho Lee, Joonseok Lee
2024 J jnl
Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation.
CoRR
Seongsu Ha, Chaeyun Kim, Donghwa Kim, Junho Lee, Sangho Lee, Joonseok Lee
2024 J jnl
General Item Representation Learning for Cold-start Content Recommendations.
CoRR
Jooeun Kim, Jinri Kim, Kwangeun Yeo, Eungi Kim, Kyoung-Woon On, Jonghwan Mun, Joonseok Lee
2024 A* conf
Isometric Representation Learning for Disentangled Latent Space of Diffusion Models.
ICML
Jaehoon Hahm, Junho Lee, Sunghyun Kim, Joonseok Lee
2024 J jnl
Isometric Representation Learning for Disentangled Latent Space of Diffusion Models.
CoRR
Jaehoon Hahm, Junho Lee, Sunghyun Kim, Joonseok Lee
2024 A conf
Modality-Aware Representation Learning for Zero-shot Sketch-based Image Retrieval.
WACV
Eunyi Lyou, Doyeon Lee, Jooeun Kim, Joonseok Lee
2024 J jnl
Modality-Aware Representation Learning for Zero-shot Sketch-based Image Retrieval.
CoRR
Eunyi Lyou, Doyeon Lee, Jooeun Kim, Joonseok Lee
2024 A conf
PoseDiff: Pose-conditioned Multimodal Diffusion Model for Unbounded Scene Synthesis from Sparse Inputs.
WACV
Seoyoung Lee, Joonseok Lee
2024 A conf
RMFER: Semi-supervised Contrastive Learning for Facial Expression Recognition with Reaction Mashup Video.
WACV
Yunseong Cho, Chanwoo Kim, Hoseong Cho, Yunhoe Ku, Eunseo Kim, Muhammadjon Boboev, Joonseok Lee, Seungryul Baek
2024 A conf
Scalable Frame Sampling for Video Classification: A Semi-Optimal Policy Approach with Reduced Search Space.
BMVC
Junho Lee, Jeongwoo Shin, Seung Woo Ko, Seongsu Ha, Joonseok Lee
2024 J jnl
Scalable Frame Sampling for Video Classification: A Semi-Optimal Policy Approach with Reduced Search Space.
CoRR
Junho Lee, Jeongwoo Shin, Seung Woo Ko, Seongsu Ha, Joonseok Lee
2024 A* conf
Self-Guided Masked Autoencoder.
NeurIPS
Jeongwoo Shin, Inseo Lee, Junho Lee, Joonseok Lee
2024 A conf
Towards a Complete Benchmark on Video Moment Localization.
AISTATS
Jinyeong Chae, Donghwa Kim, Kwanseok Kim, Doyeon Lee, Sangho Lee, Seongsu Ha, Jonghwan Mun, Wooyoung Kang, Byungseok Roh, Joonseok Lee
2024 A* conf
V2Meow: Meowing to the Visual Beat via Video-to-Music Generation.
AAAI
Kun Su, Judith Yue Li, Qingqing Huang, Dima Kuzmin, Joonseok Lee, Chris Donahue, Fei Sha, Aren Jansen, Yu Wang, Mauro Verzetti, Timo I. Denk
2023 A* conf
A Unified Framework for Robustness on Diverse Sampling Errors.
ICCV
Myeongho Jeon, Myungjoo Kang, Joonseok Lee
2023 A* conf
Activity Grammars for Temporal Action Segmentation.
NeurIPS
Dayoung Gong, Joonseok Lee, Deunsol Jung, Suha Kwak, Minsu Cho
2023 J jnl
Activity Grammars for Temporal Action Segmentation.
CoRR
Dayoung Gong, Joonseok Lee, Deunsol Jung, Suha Kwak, Minsu Cho
2023 J jnl
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision.
CoRR
Seongho Joe, Byoungjip Kim, Hoyoung Kang, Kyoungwon Park, Bogun Kim, Jaeseon Park, Joonseok Lee, Youngjune Gwon
2023 Misc conf
Exploration Into Translation-Equivariant Image Quantization.
ICASSP
Woncheol Shin, Gyubok Lee, Jiyoung Lee, Eunyi Lyou, Joonseok Lee, Edward Choi
2023 J jnl
MAQA: A Multimodal QA Benchmark for Negation.
CoRR
Judith Yue Li, Aren Jansen, Qingqing Huang, Joonseok Lee, Ravi Ganti, Dima Kuzmin
2023 A* conf
Mr. HiSum: A Large-scale Dataset for Video Highlight Detection and Summarization.
NeurIPS
Jinhwan Sul, Jihoon Han, Joonseok Lee
2023 J jnl
Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rays.
CoRR
Daeun Kyung, Kyungmin Jo, Jaegul Choo, Joonseok Lee, Edward Choi
2023 Misc conf
Perspective Projection-Based 3d CT Reconstruction from Biplanar X-Rays.
ICASSP
Daeun Kyung, Kyungmin Jo, Jaegul Choo, Joonseok Lee, Edward Choi
2023 J jnl
Shuffle & Divide: Contrastive Learning for Long Text.
CoRR
Joonseok Lee, Seongho Joe, Kyoungwon Park, Bogun Kim, Hoyoung Kang, Jaeseon Park, Youngjune Gwon
2023 A conf
Towards Physically Reliable Molecular Representation Learning.
UAI
Seunghoon Yi, Youngwoo Cho, Jinhwan Sul, Seung Woo Ko, Soo Kyung Kim, Jaegul Choo, Hongkee Yoon, Joonseok Lee
2023 A* conf
Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the Wild.
ICCV
Sungchan Park, Eunyi You, Inhoe Lee, Joonseok Lee
2023 J jnl
Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the Wild.
CoRR
Sungchan Park, Eunyi You, Inhoe Lee, Joonseok Lee
2023 J jnl
V2Meow: Meowing to the Visual Beat via Music Generation.
CoRR
Kun Su, Judith Yue Li, Qingqing Huang, Dima Kuzmin, Joonseok Lee, Chris Donahue, Fei Sha, Aren Jansen, Yu Wang, Mauro Verzetti, Timo I. Denk
2023 A* conf
VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception.
NeurIPS
Jiyoung Lee, Seungho Kim, Seunghyun Won, Joonseok Lee, Marzyeh Ghassemi, James Thorne, Jaeseok Choi, O.-Kil Kwon, Edward Choi
2023 J jnl
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception.
CoRR
Jiyoung Lee, Seungho Kim, Seunghyun Won, Joonseok Lee, Marzyeh Ghassemi, James Thorne, Jaeseok Choi, O.-Kil Kwon, Edward Choi
2022 A* conf
A Conservative Approach for Unbiased Learning on Unknown Biases.
CVPR
Myeongho Jeon, Daekyung Kim, Woochul Lee, Myungjoo Kang, Joonseok Lee
2022 — conf
BaSSL: Boundary-aware Self-Supervised Learning for Video Scene Segmentation.
ACCV (4)
Jonghwan Mun, Minchul Shin, Gunsoo Han, Sangho Lee, Seongsu Ha, Joonseok Lee, Eun-Sol Kim
2022 A* conf
Bilateral Self-unbiased Learning from Biased Implicit Feedback.
SIGIR
Jae-woong Lee, Seongmin Park, Joonseok Lee, Jongwuk Lee
2022 J jnl
Bilateral Self-unbiased Learning from Biased Implicit Feedback.
CoRR
Jae-woong Lee, Seongmin Park, Joonseok Lee, Jongwuk Lee
2022 J jnl
Boundary-aware Self-supervised Learning for Video Scene Segmentation.
CoRR
Jonghwan Mun, Minchul Shin, Gunsoo Han, Sangho Lee, Seongsu Ha, Joonseok Lee, Eun-Sol Kim
2022 B conf
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision.
ICPR
Seongho Joe, Byoungjip Kim, Hoyoung Kang, Kyoungwon Park, Bogun Kim, Jaeseon Park, Joonseok Lee, Youngjune Gwon
2022 A* conf
Future Transformer for Long-term Action Anticipation.
CVPR
Dayoung Gong, Joonseok Lee, Manjin Kim, Seong Jong Ha, Minsu Cho
2022 J jnl
Future Transformer for Long-term Action Anticipation.
CoRR
Dayoung Gong, Joonseok Lee, Manjin Kim, Seong Jong Ha, Minsu Cho
2022 A conf
Learning to Wear: Details-Preserved Virtual Try-on via Disentangling Clothes and Wearer.
BMVC
Sangho Lee, Seoyoung Lee, Joonseok Lee
2022 — conf
MuLan: A Joint Embedding of Music Audio and Natural Language.
ISMIR
Qingqing Huang, Aren Jansen, Joonseok Lee, Ravi Ganti, Judith Yue Li, Daniel P. W. Ellis
2022 J jnl
MuLan: A Joint Embedding of Music Audio and Natural Language.
CoRR
Qingqing Huang, Aren Jansen, Joonseok Lee, Ravi Ganti, Judith Yue Li, Daniel P. W. Ellis
2022 A conf
S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks.
WSDM
Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee
2022 J jnl
S-Walk: Accurate and Scalable Session-based Recommendationwith Random Walks.
CoRR
Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee
2022 B conf
Shuffle & Divide: Contrastive Learning for Long Text.
ICPR
Joonseok Lee, Seongho Joe, Kyoungwon Park, Bogun Kim, Hoyoung Kang, Jaeseon Park, Youngjune Gwon
2022 — conf
Towards Detailed Characteristic-Preserving Virtual Try-On.
CVPR Workshops
Sangho Lee, Seoyoung Lee, Joonseok Lee
2022 A conf
Towards Efficient Neural Scene Graphs by Learning Consistency Fields.
BMVC
Yeji Song, Chaerin Kong, Seoyoung Lee, Nojun Kwak, Joonseok Lee
2022 J jnl
Towards Efficient Neural Scene Graphs by Learning Consistency Fields.
CoRR
Yeji Song, Chaerin Kong, Seoyoung Lee, Nojun Kwak, Joonseok Lee
2022 A conf
Unconditional Image-Text Pair Generation with Multimodal Cross Quantizer.
BMVC
Hyungyung Lee, Sungjin Park, Joonseok Lee, Edward Choi
2021 A conf
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE.
BMVC
Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi
2021 J jnl
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE.
CoRR
Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi
2021 A conf
Local Collaborative Autoencoders.
WSDM
Minjin Choi, Yoonki Jeong, Joonseok Lee, Jongwuk Lee
2021 J jnl
Local Collaborative Autoencoders.
CoRR
Minjin Choi, Yoonki Jeong, Joonseok Lee, Jongwuk Lee
2021 A* conf
Session-aware Linear Item-Item Models for Session-based Recommendation.
WWW
Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee
2021 J jnl
Session-aware Linear Item-Item Models for Session-based Recommendation.
CoRR
Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee
2021 J jnl
Translation-equivariant Image Quantizer for Bi-directional Image-Text Generation.
CoRR
Woncheol Shin, Gyubok Lee, Jiyoung Lee, Joonseok Lee, Edward Choi
2021 A* conf
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation.
AAAI
Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi
2020 J jnl
A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus.
CoRR
Bowen Zhang, Hexiang Hu, Joonseok Lee, Ming Zhao, Sheide Chammas, Vihan Jain, Eugene Ie, Fei Sha
2020 A* conf
Large Scale Video Representation Learning via Relational Graph Clustering.
CVPR
Hyodong Lee, Joonseok Lee, Joe Yue-Hei Ng, Paul Natsev
2020 — conf
Predicting Coronary Artery Calcium Score from Retinal Fundus Photographs Using Convolutional Neural Networks.
ICAISC (1)
Sooah Cho, Su Jeong Song, Joonseok Lee, Jieun Song, Min Soo Kim, Minyoung Lee, Joonho Lee
2020 J jnl
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs.
Medical Image Anal.
José Ignacio Orlando, Huazhu Fu, João Barbosa Breda, Karel van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, Joonho Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Hrvoje Bogunovic
2020 C conf
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing.
AIES
Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton
2020 J jnl
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing.
CoRR
Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton
2020 J jnl
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation.
CoRR
Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi
2019 A conf
Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events.
WACV
Sookyung Kim, Hyojin Kim, Joonseok Lee, Sangwoong Yoon, Samira Ebrahimi Kahou, Karthik Kashinath, Prabhat
2019 A* conf
Large-Scale Training Framework for Video Annotation.
KDD
Seong Jae Hwang, Joonseok Lee, Balakrishnan Varadarajan, Ariel Gordon, Zheng Xu, Apostol Natsev
2019 A conf
Learning to Focus and Track Extreme Climate Events.
BMVC
Sookyung Kim, Sunghyun Park, Sunghyo Chung, Joonseok Lee, Yunsung Lee, Hyojin Kim, Prabhat, Jaegul Choo
2019 A conf
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification.
UAI
Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee
2019 J jnl
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs.
CoRR
José Ignacio Orlando, Huazhu Fu, João Barbosa Breda, Karel van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, Joonho Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Apoorva Sikka, Jaemin Son, Anton van den Hengel, Shujun Wang, Junyan Wu, Zifeng Wu, Guanghui Xu, Yong-Li Xu, Pengshuai Yin, Fei Li, Xiulan Zhang, Yanwu Xu, Hrvoje Bogunovic
2018 A* conf
Collaborative Deep Metric Learning for Video Understanding.
KDD
Joonseok Lee, Sami Abu-El-Haija, Balakrishnan Varadarajan, Apostol Natsev
2018 J jnl
Localized user-driven topic discovery via boosted ensemble of nonnegative matrix factorization.
Knowl. Inf. Syst.
Sangho Suh, Sungbok Shin, Joonseok Lee, Chandan K. Reddy, Jaegul Choo
2018 J jnl
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification.
CoRR
Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee
2018 — conf
The 2nd YouTube-8M Large-Scale Video Understanding Challenge.
ECCV Workshops (4)
Joonseok Lee, Apostol Natsev, Walter Reade, Rahul Sukthankar, George Toderici
2017 — conf
Large-Scale Content-Only Video Recommendation.
ICCV Workshops
Joonseok Lee, Sami Abu-El-Haija
2017 A* conf
Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization.
IJCAI
Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy
2016 A* conf
L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization.
ICDM
Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy
2016 J jnl
LLORMA: Local Low-Rank Matrix Approximation.
J. Mach. Learn. Res.
Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer, Samy Bengio
2016 J jnl
YouTube-8M: A Large-Scale Video Classification Benchmark.
CoRR
Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee, Paul Natsev, George Toderici, Balakrishnan Varadarajan, Sudheendra Vijayanarasimhan
2015 J jnl
A Rapid Screening and Testing Protocol for Keyboard Layout Speed Comparison.
IEEE Trans. Hum. Mach. Syst.
Joonseok Lee, Hanggjun Cho, Robert Ian (Bob) McKay
2015 A* conf
Estimating Temporal Dynamics of Human Emotions.
AAAI
Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park
2015 A* conf
Leveraging Knowledge Bases for Contextual Entity Exploration.
KDD
Joonseok Lee, Ariel Fuxman, Bo Zhao, Yuanhua Lv
2015 A* conf
Local Context Sparse Coding.
AAAI
Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park
2015 — —
Local approaches for collaborative filtering.
Joonseok Lee
2014 A* conf
Local collaborative ranking.
WWW
Joonseok Lee, Samy Bengio, Seungyeon Kim, Guy Lebanon, Yoram Singer
2014 J jnl
Optimizing a Personalized Multigram Cellphone Keypad.
CoRR
Joonseok Lee, Robert I. McKay
2013 A conf
Learning multiple-question decision trees for cold-start recommendation.
WSDM
Mingxuan Sun, Fuxin Li, Joonseok Lee, Ke Zhou, Guy Lebanon, Hongyuan Zha
2013 — conf
Local Low-Rank Matrix Approximation.
ICML (2)
Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer
2013 — conf
Matrix Approximation under Local Low-Rank Assumption
ICLR (Workshop Poster)
Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer
2013 J jnl
Personalized Academic Research Paper Recommendation System
CoRR
Joonseok Lee, Kisung Lee, Jennifer G. Kim
2012 J jnl
A Comparative Study of Collaborative Filtering Algorithms
CoRR
Joonseok Lee, Mingxuan Sun, Guy Lebanon
2012 — conf
Automatic Feature Induction for Stagewise Collaborative Filtering.
NIPS
Joonseok Lee, Mingxuan Sun, Seungyeon Kim, Guy Lebanon
2012 J jnl
PREA: personalized recommendation algorithms toolkit.
J. Mach. Learn. Res.
Joonseok Lee, Mingxuan Sun, Guy Lebanon
2012 B conf
Rapid screening of keyboard layouts.
SMC
Joonseok Lee, Hanggjun Cho, Robert I. McKay
2011 — conf
Optimizing a Personalized Cellphone Keypad.
ICHIT (1)
Joonseok Lee, Bob McKay
2007 J jnl
Predictive Trellis-Coded Quantization of the Cepstral Coefficients for the Distributed Speech Recognition.
IEICE Trans. Commun.
Sangwon Kang, Joonseok Lee