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Joonseok Lee
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2020 – today
- 2022
- [c28]Jae-woong Lee, Seongmin Park, Joonseok Lee, Jongwuk Lee:
Bilateral Self-unbiased Learning from Biased Implicit Feedback. SIGIR 2022: 29-39 - [c27]Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee:
S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks. WSDM 2022: 150-160 - [i17]Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee:
S-Walk: Accurate and Scalable Session-based Recommendationwith Random Walks. CoRR abs/2201.01091 (2022) - [i16]Jonghwan Mun, Minchul Shin, Gunsoo Han, Sangho Lee, Seongsu Ha, Joonseok Lee, Eun-Sol Kim:
Boundary-aware Self-supervised Learning for Video Scene Segmentation. CoRR abs/2201.05277 (2022) - [i15]Dayoung Gong, Joonseok Lee, Manjin Kim, Seong Jong Ha, Minsu Cho:
Future Transformer for Long-term Action Anticipation. CoRR abs/2205.14022 (2022) - [i14]Jae-woong Lee, Seongmin Park, Joonseok Lee, Jongwuk Lee:
Bilateral Self-unbiased Learning from Biased Implicit Feedback. CoRR abs/2207.12660 (2022) - 2021
- [c26]Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi:
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation. AAAI 2021: 2412-2422 - [c25]Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi:
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE. BMVC 2021: 229 - [c24]Minjin Choi, Yoonki Jeong, Joonseok Lee, Jongwuk Lee:
Local Collaborative Autoencoders. WSDM 2021: 734-742 - [c23]Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee:
Session-aware Linear Item-Item Models for Session-based Recommendation. WWW 2021: 2186-2197 - [i13]Minjin Choi, Yoonki Jeong, Joonseok Lee, Jongwuk Lee:
Local Collaborative Autoencoders. CoRR abs/2103.16103 (2021) - [i12]Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee:
Session-aware Linear Item-Item Models for Session-based Recommendation. CoRR abs/2103.16104 (2021) - [i11]Woncheol Shin, Gyubok Lee, Jiyoung Lee, Joonseok Lee, Edward Choi:
Translation-equivariant Image Quantizer for Bi-directional Image-Text Generation. CoRR abs/2112.00384 (2021) - [i10]Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi:
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE. CoRR abs/2112.10960 (2021) - 2020
- [j6]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
:
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Anal. 59 (2020) - [c22]Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton:
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. AIES 2020: 145-151 - [c21]Hyodong Lee, Joonseok Lee, Joe Yue-Hei Ng, Paul Natsev:
Large Scale Video Representation Learning via Relational Graph Clustering. CVPR 2020: 6806-6815 - [c20]Sooah Cho, Su Jeong Song, Joonseok Lee, JiEun Song, Min Soo Kim, Minyoung Lee, Joonho Lee:
Predicting Coronary Artery Calcium Score from Retinal Fundus Photographs Using Convolutional Neural Networks. ICAISC (1) 2020: 599-612 - [i9]Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton:
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. CoRR abs/2001.00964 (2020) - [i8]Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi:
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation. CoRR abs/2010.08188 (2020) - [i7]Bowen Zhang, Hexiang Hu, Joonseok Lee, Ming Zhao, Sheide Chammas, Vihan Jain, Eugene Ie, Fei Sha:
A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus. CoRR abs/2011.09046 (2020)
2010 – 2019
- 2019
- [c19]Sookyung Kim, Sunghyun Park, Sunghyo Chung, Joonseok Lee, Yunsung Lee, Hyojin Kim, Prabhat, Jaegul Choo:
Learning to Focus and Track Extreme Climate Events. BMVC 2019: 11 - [c18]Seong Jae Hwang
, Joonseok Lee, Balakrishnan Varadarajan, Ariel Gordon, Zheng Xu, Apostol Natsev:
Large-Scale Training Framework for Video Annotation. KDD 2019: 2394-2402 - [c17]Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee:
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification. UAI 2019: 841-851 - [c16]Sookyung Kim, Hyojin Kim, Joonseok Lee, Sangwoong Yoon, Samira Ebrahimi Kahou, Karthik Kashinath, Prabhat:
Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events. WACV 2019: 1761-1769 - [i6]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:
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. CoRR abs/1910.03667 (2019) - 2018
- [j5]Sangho Suh, Sungbok Shin, Joonseok Lee, Chandan K. Reddy
, Jaegul Choo
:
Localized user-driven topic discovery via boosted ensemble of nonnegative matrix factorization. Knowl. Inf. Syst. 56(3): 503-531 (2018) - [c15]Joonseok Lee, Apostol Natsev, Walter Reade, Rahul Sukthankar, George Toderici:
The 2nd YouTube-8M Large-Scale Video Understanding Challenge. ECCV Workshops (4) 2018: 193-205 - [c14]Joonseok Lee, Sami Abu-El-Haija, Balakrishnan Varadarajan, Apostol Natsev:
Collaborative Deep Metric Learning for Video Understanding. KDD 2018: 481-490 - [i5]Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee:
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification. CoRR abs/1802.08888 (2018) - 2017
- [c13]Joonseok Lee, Sami Abu-El-Haija:
Large-Scale Content-Only Video Recommendation. ICCV Workshops 2017: 987-995 - [c12]Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy:
Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization. IJCAI 2017: 4944-4948 - 2016
- [j4]Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer, Samy Bengio:
LLORMA: Local Low-Rank Matrix Approximation. J. Mach. Learn. Res. 17: 15:1-15:24 (2016) - [c11]Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy:
L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization. ICDM 2016: 479-488 - [i4]Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee, Paul Natsev, George Toderici, Balakrishnan Varadarajan, Sudheendra Vijayanarasimhan:
YouTube-8M: A Large-Scale Video Classification Benchmark. CoRR abs/1609.08675 (2016) - 2015
- [j3]Joonseok Lee, Hanggjun Cho, Robert Ian (Bob) McKay
:
A Rapid Screening and Testing Protocol for Keyboard Layout Speed Comparison. IEEE Trans. Hum. Mach. Syst. 45(3): 371-384 (2015) - [c10]Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park:
Estimating Temporal Dynamics of Human Emotions. AAAI 2015: 168-174 - [c9]Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park:
Local Context Sparse Coding. AAAI 2015: 2260-2266 - [c8]Joonseok Lee, Ariel Fuxman, Bo Zhao, Yuanhua Lv:
Leveraging Knowledge Bases for Contextual Entity Exploration. KDD 2015: 1949-1958 - 2014
- [c7]Joonseok Lee, Samy Bengio, Seungyeon Kim, Guy Lebanon, Yoram Singer:
Local collaborative ranking. WWW 2014: 85-96 - [i3]Joonseok Lee, Robert I. McKay:
Optimizing a Personalized Multigram Cellphone Keypad. CoRR abs/1412.1180 (2014) - 2013
- [c6]Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer:
Local Low-Rank Matrix Approximation. ICML (2) 2013: 82-90 - [c5]Mingxuan Sun, Fuxin Li, Joonseok Lee, Ke Zhou, Guy Lebanon, Hongyuan Zha:
Learning multiple-question decision trees for cold-start recommendation. WSDM 2013: 445-454 - [c4]Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer:
Matrix Approximation under Local Low-Rank Assumption. ICLR (Workshop Poster) 2013 - [i2]Joonseok Lee, Kisung Lee, Jennifer G. Kim:
Personalized Academic Research Paper Recommendation System. CoRR abs/1304.5457 (2013) - 2012
- [j2]Joonseok Lee, Mingxuan Sun, Guy Lebanon:
PREA: personalized recommendation algorithms toolkit. J. Mach. Learn. Res. 13: 2699-2703 (2012) - [c3]Joonseok Lee, Mingxuan Sun, Seungyeon Kim, Guy Lebanon:
Automatic Feature Induction for Stagewise Collaborative Filtering. NIPS 2012: 323-331 - [c2]Joonseok Lee, Hanggjun Cho, Robert I. McKay
:
Rapid screening of keyboard layouts. SMC 2012: 894-899 - [i1]Joonseok Lee, Mingxuan Sun, Guy Lebanon:
A Comparative Study of Collaborative Filtering Algorithms. CoRR abs/1205.3193 (2012) - 2011
- [c1]Joonseok Lee, Bob McKay
:
Optimizing a Personalized Cellphone Keypad. ICHIT (1) 2011: 237-244
2000 – 2009
- 2007
- [j1]Sangwon Kang, Joonseok Lee:
Predictive Trellis-Coded Quantization of the Cepstral Coefficients for the Distributed Speech Recognition. IEICE Trans. Commun. 90-B(6): 1570-1572 (2007)
Coauthor Index

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last updated on 2022-08-02 23:00 CEST by the dblp team
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