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ORCIDByung-Jun Lee 0001
Person information
- unicode name: 이병준
- affiliation: Korea University, Department of Artificial Intelligence, Seoul, Republic of Korea
- affiliation (former): KAIST, Department of Computer Science, Daejeon, South Korea
Other persons with the same name
- Byung-Jun Lee — disambiguation page
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2020 – today
- 2026
[j6]Seong-Hyun Hong, Myunsoo Kim, Byung-Jun Lee:
Learning to Process Relational Information for Cloud Computing Task Scheduling. Mach. Learn. 115(5): 119 (2026)- [j5]Jinwoo Jeon, Seongwoong Shim, Sejin Kim, Sundong Kim
, Byung-Jun Lee:
Neural MCTS with LLM Guidance for Effective Program Synthesis on Abstraction and Reasoning Corpus. Mach. Learn. 115(8): 181 (2026) - [c30]Dahyun Chung, Donghyun Shin, Yujin Sung, Seunggi Moon, Jinwoo Jeon, Byung-Jun Lee:
uCLIP: Parameter-Efficient Multilingual Extension of Vision-Language Models with Unpaired Data. AAAI 2026: 3399-3406 - [c29]Sunguk Shin, Fangzhao Wu, Byung-Jun Lee, Meeyoung Cha, Sungwon Park:
SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance Trigger. ACL (1) 2026: 10194-10207 - [c28]Sunguk Shin, Hayeong Lee, JunHo Seo, Jinho Lee, Myunsoo Kim, Minsuk Chang, Byung-Jun Lee:
GraphMind: LLMs as Dynamic Knowledge Builders for Sequential Decision-Making. ACL (Findings) 2026: 32985-33007 - [c27]Myunsoo Kim, Seongwoong Shim, Byung-Jun Lee:
FALCON: False-Negative Aware Learning of Contrastive Negatives in Vision-Language Alignment. CVPR 2026: 701-711 - [c26]Sunguk Jang, Jinwoo Jeon, Byung-Jun Lee:
SCAD: Super-Class-Aware Debiasing for Long-Tailed Semi-Supervised Learning. ICLR 2026 - [c25]Seongwoong Shim, Myunsoo Kim, Jae Hyeon Cho, Byung-Jun Lee:
Beyond RAG vs. Long-Context: Learning Distraction-Aware Retrieval for Efficient Knowledge Grounding. ICLR 2026 - [i26]Hayeong Lee, JunHyeok Oh, Byung-Jun Lee:
TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning. CoRR abs/2602.01665 (2026) - [i25]Donghyeon Ki, Hee-Jun Ahn, Kyungyoon Kim, Byung-Jun Lee:
Direct Soft-Policy Sampling via Langevin Dynamics. CoRR abs/2602.07873 (2026) - [i24]Sunguk Shin, Meeyoung Cha, Byung-Jun Lee, Sungwon Park:
ERA: Evidence-based Reliability Alignment for Honest Retrieval-Augmented Generation. CoRR abs/2604.20854 (2026) - [i23]Kyungyoon Kim, Donghyeon Ki, Hee-Jun Ahn, Byung-Jun Lee:
Score-Based One-step MeanFlow Policy Optimization. CoRR abs/2605.23365 (2026) - [i22]Woosung Kim, Youngjun Suh, Jinho Lee, Jongmin Lee, Byung-Jun Lee:
AETDICE: Unified Framework and Offline Optimization for Nonlinear Multi-Objective RL. CoRR abs/2606.31178 (2026) - 2025
- [j4]Seong-Hyun Hong, Jinho Lee, Byung-Jun Lee:
A Diffusion-Based Framework for Decoupling Capacitor Placement Optimization. IEEE Access 13: 176874-176884 (2025) - [c24]Minkyeong Jeon, Hyemin Jeong, Yerang Kim, Jiyoung Kim, Jae Hyeon Cho, Byung-Jun Lee:
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean. ACL (1) 2025: 21404-21432 - [c23]Myunsoo Kim, Donghyeon Ki, Seong-Woong Shim, Byung-Jun Lee:
Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training. CVPR 2025: 2513-2522 - [c22]Jae Hyeon Cho, JunHyeok Oh, Myunsoo Kim, Byung-Jun Lee:
Rethinking DPO: The Role of Rejected Responses in Preference Misalignment. EMNLP (Findings) 2025: 8159-8176 - [c21]Jinwoo Jeon, JunHyeok Oh, Hayeong Lee, Byung-Jun Lee:
Iterative Prompt Refinement for Safer Text-to-Image Generation. EMNLP 2025: 18080-18096 - [c20]Myunsoo Kim, Hayeong Lee, Seong-Woong Shim, JunHo Seo, Byung-Jun Lee:
NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations. ICML 2025 - [c19]Donghyeon Ki, JunHyeok Oh, Seong-Woong Shim, Byung-Jun Lee:
Prior-Guided Diffusion Planning for Offline Reinforcement Learning. NeurIPS 2025 - [c18]Woosung Kim, Jinho Lee, Jongmin Lee, Byung-Jun Lee:
FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning. NeurIPS 2025 - [i21]Myunsoo Kim, Hayeong Lee, Seong-Woong Shim, JunHo Seo, Byung-Jun Lee:
NBDI: A Simple and Efficient Termination Condition for Skill Extraction from Task-Agnostic Demonstrations. CoRR abs/2501.12668 (2025) - [i20]Donghyeon Ki, JunHyeok Oh, Seong-Woong Shim, Byung-Jun Lee:
Prior-Guided Diffusion Planning for Offline Reinforcement Learning. CoRR abs/2505.10881 (2025) - [i19]Myunsoo Kim, Seong-Woong Shim, Byung-Jun Lee:
FALCON: False-Negative Aware Learning of Contrastive Negatives in Vision-Language Pretraining. CoRR abs/2505.11192 (2025) - [i18]Woosung Kim, Jinho Lee, Jongmin Lee, Byung-Jun Lee:
FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning. CoRR abs/2506.08062 (2025) - [i17]Woosung Kim, JunHo Seo, Jongmin Lee, Byung-Jun Lee:
Semi-gradient DICE for Offline Constrained Reinforcement Learning. CoRR abs/2506.08644 (2025) - [i16]Jay Hyeon Cho, JunHyeok Oh, Myunsoo Kim, Byung-Jun Lee:
Rethinking DPO: The Role of Rejected Responses in Preference Misalignment. CoRR abs/2506.12725 (2025) - [i15]Minkyeong Jeon, Hyemin Jeong, Yerang Kim, Jiyoung Kim, Jae Hyeon Cho, Byung-Jun Lee:
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean. CoRR abs/2506.13513 (2025) - [i14]JunHyeok Oh, Byung-Jun Lee:
Offline Reinforcement Learning with Penalized Action Noise Injection. CoRR abs/2507.02356 (2025) - [i13]Jinwoo Jeon, JunHyeok Oh, Hayeong Lee, Byung-Jun Lee:
Iterative Prompt Refinement for Safer Text-to-Image Generation. CoRR abs/2509.13760 (2025) - [i12]Donghyeon Ki, Hee-Jun Ahn, Kyungyoon Kim, Byung-Jun Lee:
Actor-Critic without Actor. CoRR abs/2509.21022 (2025) - [i11]Seong-Woong Shim, Myunsoo Kim, Jae Hyeon Cho, Byung-Jun Lee:
Beyond RAG vs. Long-Context: Learning Distraction-Aware Retrieval for Efficient Knowledge Grounding. CoRR abs/2509.21865 (2025) - [i10]Dahyun Chung, Donghyun Shin, Yujin Sung, Seunggi Moon, Jinwoo Jeon, Byung-Jun Lee:
uCLIP: Parameter-Efficient Multilingual Extension of Vision-Language Models with Unpaired Data. CoRR abs/2511.13036 (2025) - 2024
- [j3]Dong-Hee Shin, Young-Han Son, Jun-Mo Kim, Hee-Jun Ahn, Jun-Ho Seo, Chang-Hoon Ji, Ji-Wung Han, Byung-Jun Lee, Dong-Ok Won, Tae-Eui Kam:
MARS: Multiagent Reinforcement Learning for Spatial - Spectral and Temporal Feature Selection in EEG-Based BCI. IEEE Trans. Syst. Man Cybern. Syst. 54(5): 3084-3096 (2024) - [c17]Woosung Kim, Donghyeon Ki, Byung-Jun Lee:
Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization. AAAI 2024: 13185-13192 - [c16]Hosung Lee, Sejin Kim, Seungpil Lee, Sanha Hwang, Jihwan Lee, Byung-Jun Lee, Sundong Kim:
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning. CoLLAs 2024: 710-731 - [c15]Hee-Jun Ahn, Seong-Woong Shim, Byung-Jun Lee:
Offline Imitation Learning by Controlling the Effective Planning Horizon. ICPRAI (2) 2024: 120-150 - [c14]Woosung Kim, Hayeong Lee, Jongmin Lee, Byung-Jun Lee:
ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making. NeurIPS 2024 - [c13]Seokin Seo, Byung-Jun Lee, Jongmin Lee, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim:
Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction. NeurIPS 2024 - [i9]Hee-Jun Ahn, Seong-Woong Shim, Byung-Jun Lee:
Offline Imitation Learning by Controlling the Effective Planning Horizon. CoRR abs/2401.09728 (2024) - [i8]Hosung Lee, Sejin Kim, Seungpil Lee, Sanha Hwang, Jihwan Lee, Byung-Jun Lee, Sundong Kim:
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning. CoRR abs/2407.20806 (2024) - [i7]Yunho Kim, Jaehyun Park, Heejun Kim, Sejin Kim, Byung-Jun Lee, Sundong Kim:
Diffusion-Based Offline RL for Improved Decision-Making in Augmented ARC Task. CoRR abs/2410.11324 (2024) - [i6]Jaehyun Park, Yunho Kim, Sejin Kim, Byung-Jun Lee, Sundong Kim:
DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation. CoRR abs/2410.11338 (2024) - [i5]Jae Hyeon Cho, Minkyung Park, Byung-Jun Lee:
VPO: Leveraging the Number of Votes in Preference Optimization. CoRR abs/2410.22891 (2024) - [i4]Seong-Hyun Hong, Hyun-Sung Kim, Zian Jang, Byung-Jun Lee:
IC/DC: Surpassing Heuristic Solvers in Combinatorial Optimization with Diffusion Models. CoRR abs/2411.00003 (2024) - [i3]Myunsoo Kim, Donghyeon Ki, Seong-Woong Shim, Byung-Jun Lee:
Adaptive Non-Uniform Timestep Sampling for Diffusion Model Training. CoRR abs/2411.09998 (2024) - 2023
- [c12]Donghyun Lee, Minkyung Park, Byung-Jun Lee:
Quantifying Information of Tokens for Simple and Flexible Simultaneous Machine Translation. CoNLL 2023: 200-210 - [c11]Minkyung Park, Byung-Jun Lee:
Improving Neural Machine Translation with Offline Evaluations. IJCNLP (1) 2023: 385-397 - 2022
- [c10]Haanvid Lee, Jongmin Lee, Yunseon Choi, Wonseok Jeon, Byung-Jun Lee, Yung-Kyun Noh, Kee-Eung Kim:
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions. NeurIPS 2022 - [i2]Haanvid Lee, Jongmin Lee, Yunseon Choi, Wonseok Jeon, Byung-Jun Lee, Yung-Kyun Noh, Kee-Eung Kim:
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions. CoRR abs/2210.13373 (2022) - 2021
- [c9]Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim:
Representation Balancing Offline Model-based Reinforcement Learning. ICLR 2021 - [c8]Deunsol Yoon, Sunghoon Hong, Byung-Jun Lee, Kee-Eung Kim:
Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic. ICLR 2021 - [c7]Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim:
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation. ICML 2021: 6120-6130 - [i1]Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim:
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation. CoRR abs/2106.10783 (2021) - 2020
- [c6]Byung-Jun Lee, Seunghoon Hong, Kee-Eung Kim:
Residual Neural Processes. AAAI 2020: 4545-4552 - [c5]Byung-Jun Lee, Jongmin Lee, Peter Vrancx, Dongho Kim, Kee-Eung Kim:
Batch Reinforcement Learning with Hyperparameter Gradients. ICML 2020: 5725-5735 - [c4]Jongmin Lee, Byung-Jun Lee, Kee-Eung Kim:
Reinforcement Learning for Control with Multiple Frequencies. NeurIPS 2020
2010 – 2019
- 2018
- [j2]Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Kee-Eung Kim:
Cross-Language Neural Dialog State Tracker for Large Ontologies Using Hierarchical Attention. IEEE ACM Trans. Audio Speech Lang. Process. 26(11): 2072-2082 (2018) - 2017
- [c3]Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim:
Hierarchically-partitioned Gaussian Process Approximation. AISTATS 2017: 822-831 - 2016
- [j1]Byung-Jun Lee, Kee-Eung Kim:
Dialog History Construction with Long-Short Term Memory for Robust Generative Dialog State Tracking. Dialogue Discourse 7(3): 47-64 (2016) - [c2]Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Youngjae Chang, Kee-Eung Kim:
Neural dialog state tracker for large ontologies by attention mechanism. SLT 2016: 531-537 - 2014
- [c1]Byung-Jun Lee, Woosang Lim, Daejoong Kim, Kee-Eung Kim:
Optimizing Generative Dialog State Tracker via Cascading Gradient Descent. SIGDIAL Conference 2014: 273-281
Coauthor Index
aka: Seong-Woong Shim
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