Lee, Jae Hyeon

7 publications

ICLRW 2025 Guided Generation of B-Cell Receptors with Conditional Walk-Jump Sampling Taylor Joren, Sarah A Robinson, Homa MohammadiPeyhani, Sai Pooja Mahajan, Edith Lee, Stephen Lillington, Qixin Bei, Saeed Saremi, Jae Hyeon Lee, Richard Bonneau, Isidro Hotzel, Vladimir Gligorijevic, Simon Kelow, Nathan C. Frey
ECCVW 2024 AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content Marcos V. Conde, Zhijun Lei, Wen Li, Christos G. Bampis, Ioannis Katsavounidis, Radu Timofte, Qing Luo, Jie Song, Linyan Jiang, Haibo Lei, Yaqing Li, Ziqi Luo, Rongkang Dong, Cuixin Yang, Zongqi He, Jun Xiao, Zhe Xiao, Yushen Zuo, Zihang Lyu, Kin-Man Lam, Yuxuan Jiang, Jakub Nawala, Chen Feng, Fan Zhang, Xiaoqing Zhu, Joel Sole, David Bull, Jae-Hyeon Lee, Dong-Hyeop Son, Ui-Jin Choi, Mingjun Zheng, Zhongbao Yang, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang
TMLR 2024 Blind Biological Sequence Denoising with Self-Supervised Set Learning Nathan Hoyen Ng, Ji Won Park, Jae Hyeon Lee, Ryan Lewis Kelly, Stephen Ra, Kyunghyun Cho
CVPRW 2024 Real-Time 4k Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey Marcos V. Conde, Zhijun Lei, Wen Li, Ioannis Katsavounidis, Radu Timofte, Min Yan, Xin Liu, Qian Wang, Xiaoqian Ye, Zhan Du, Tiansen Zhang, Zhiyuan Li, Hao Wei, Chenyang Ge, Jiangtao Lv, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Menghan Zhou, Yiqiang Yan, Kihwan Yoon, Ganzorig Gankhuyag, Jae-Hyeon Lee, Ui-Jin Choi, Hyeon-Cheol Moon, Tae Hyun Jeong, Yoonmo Yang, Jae-Gon Kim, Jinwoo Jeong, Sunjei Kim, Xintao Qiu, Yuanbo Zhou, Kongxian Wu, Xinwei Dai, Hui Tang, Wei Deng, Qingquan Gao, Tong Tong, Long Peng, Jiaming Guo, Xin Di, Bohao Liao, Zhibo Du, Peize Xia, Renjing Pei, Yang Wang, Yang Cao, Zhengjun Zha, Bingnan Han, Hongyuan Yu, Zhuoyuan Wu, Cheng Wan, Yuqing Liu, Haodong Yu, Jizhe Li, Zhijuan Huang, Yuan Huang, Yajun Zou, Xianyu Guan, Qi Jia, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Dongyang Zhang, Tianle Liu, Huaian Chen, Yi Jin
NeurIPSW 2023 MoleCLUEs: Molecular Conformers Maximally In-Distribution for Predictive Models Michael Maser, Natasa Tagasovska, Jae Hyeon Lee, Andrew Martin Watkins
ICLRW 2023 SupSiam: Non-Contrastive Auxiliary Loss for Learning from Molecular Conformers Michael Maser, Ji Won Park, Joshua Yao-Yu Lin, Jae Hyeon Lee, Nathan C. Frey, Andrew Martin Watkins
ICLRW 2022 Multi-Segment Preserving Sampling for Deep Manifold Sampler Dan Berenberg, Jae Hyeon Lee, Simon Kelow, Ji Won Park, Andrew Watkins, Richard Bonneau, Vladimir Gligorijevic, Stephen Ra, Kyunghyun Cho