Lim, Woohyung

18 publications

ICML 2025 Agent-Centric Actor-Critic for Asynchronous Multi-Agent Reinforcement Learning Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Kanghoon Lee, Woohyung Lim
AAAI 2025 Diffusion-Based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection Suhee Yoon, Sanghyu Yoon, Ye Seul Sim, Sungik Choi, Kyungeun Lee, Hye-Seung Cho, Hankook Lee, Woohyung Lim
AAAI 2025 ImagePiece: Content-Aware Re-Tokenization for Efficient Image Recognition Seungdong Yoa, Seungjun Lee, Hye-Seung Cho, Bumsoo Kim, Woohyung Lim
ICML 2025 Online Pre-Training for Offline-to-Online Reinforcement Learning Yongjae Shin, Jeonghye Kim, Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Youngsoo Jang, Geon-Hyeong Kim, Jongseong Chae, Youngchul Sung, Kanghoon Lee, Woohyung Lim
ICML 2025 Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data Jeonghye Kim, Yongjae Shin, Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Youngchul Sung, Kanghoon Lee, Woohyung Lim
AAAI 2025 Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data Moonjung Eo, Kyungeun Lee, Hye-Seung Cho, Dongmin Kim, Ye Seul Sim, Woohyung Lim
NeurIPSW 2024 AGATa: Attention-Guided Augmentation for Tabular Data in Contrastive Learning Moonjung Eo, Kyungeun Lee, Min-Kook Suh, Hye-Seung Cho, Ye Seul Sim, Woohyung Lim
NeurIPSW 2024 Adaptive Information Routing for Multi Modal Time Series Forecasting Jun Seo, Hyeokjun Choe, Seohui Bae, Soyeon Park, Jinseok Yang, Dongwan Kang, Woohyung Lim
ICML 2024 Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains Kyungeun Lee, Ye Seul Sim, Hyeseung Cho, Moonjung Eo, Suhee Yoon, Sanghyu Yoon, Woohyung Lim
ICMLW 2024 CADO: Cost-Aware Diffusion Solvers for Combinatorial Optimization Through RL Fine-Tuning Deunsol Yoon, Hyungseok Song, Kanghoon Lee, Woohyung Lim
ICLR 2024 Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Woohyung Lim, Sehui Han
NeurIPSW 2024 Learnable Numerical Input Normalization for Tabular Representation Learning Based on B-Splines Min-Kook Suh, Moonjung Eo, Ye Seul Sim, Woohyung Lim
NeurIPSW 2024 On Incorporating Prior Knowledge Extracted from Pre-Trained Language Models into Causal Discovery Chanhui Lee, Juhyeon Kim, YongJun Jeong, Yoonseok Yeom, Juhyun Lyu, Jung-Hee Kim, Sangmin Lee, Sangjun Han, Hyeokjun Choe, Soyeon Park, Woohyung Lim, Kyunghoon Bae, Sungbin Lim, Sanghack Lee
NeurIPSW 2023 Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains Kyungeun Lee, Ye Seul Sim, Hyeseung Cho, Suhee Yoon, Sanghyu Yoon, Woohyung Lim
NeurIPSW 2023 CLCS : Contrastive Learning Between Compositions and Structures for Practical Li-Ion Battery Electrodes Design Jaewan Lee, Changyoung Park, Hongjun Yang, Sehui Han, Woohyung Lim
NeurIPSW 2023 Diffusion-Based Semantic-Discrepant Outlier Generation for Out-of-Distribution Detection Suhee Yoon, Sanghyu Yoon, Hankook Lee, Sangjun Han, Ye Seul Sim, Kyungeun Lee, Hyeseung Cho, Woohyung Lim
ICMLW 2023 Hierarchical Decomposition Framework for Feasibility-Hard Combinatorial Optimization Hanbum Ko, Minu Kim, Han-Seul Jeong, Sunghoon Hong, Deunsol Yoon, Youngjoon Park, Woohyung Lim, Honglak Lee, Moontae Lee, Kanghoon Lee, Sungbin Lim, Sungryull Sohn
NeurIPSW 2022 ReSPack: A Large-Scale Rectilinear Steiner Tree Packing Data Generator and Benchmark Kanghoon Lee, Youngjoon Park, Han-Seul Jeong, Sunghoon Hong, Deunsol Yoon, Sungryull Sohn, Minu Kim, Hanbum Ko, Moontae Lee, Honglak Lee, Kyunghoon Kim, Euihyuk Kim, Seonggeon Cho, Jaesang Min, Woohyung Lim