| 2025 | EMNLP | ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection. | Jeonghye Kim, Sojeong Rhee, Minbeom Kim, Dohyung Kim, Sangmook Lee, Youngchul Sung, Kyomin Jung |
| 2025 | ICLR | Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning. | Giseung Park, Youngchul Sung |
| 2025 | ICML | ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning. | Myungsik Cho, Jongeui Park, Jeonghye Kim, Youngchul Sung |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2024 | ICLR | Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making. | Jeonghye Kim, Suyoung Lee, Woojun Kim, Youngchul Sung |
| 2024 | ICML | Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling. | Myungsik Cho, Jongeui Park, Suyoung Lee, Youngchul Sung |
| 2024 | ICML | The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm. | Giseung Park, Woohyeon Byeon, Seongmin Kim, Elad Havakuk, Amir Leshem, Youngchul Sung |
| 2023 | ICML | LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework. | Woojun Kim, Jeonghye Kim, Youngchul Sung |
| 2023 | ICML | An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning. | Woojun Kim, Youngchul Sung |
| 2022 | AAAI | Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning. | Giseung Park, Sungho Choi, Youngchul Sung |
| 2022 | ICML | Robust Imitation Learning against Variations in Environment Dynamics. | Jongseong Chae, Seungyul Han, Whiyoung Jung, Myungsik Cho, Sungho Choi, Youngchul Sung |
| 2022 | ICML | MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer. | Jeewon Jeon, Woojun Kim, Whiyoung Jung, Youngchul Sung |
| 2021 | ICLR | Communication in Multi-Agent Reinforcement Learning: Intention Sharing. | Woojun Kim, Jongeui Park, Youngchul Sung |
| 2021 | ICML | Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration. | Seungyul Han, Youngchul Sung |
| 2020 | ICLR | Population-Guided Parallel Policy Search for Reinforcement Learning. | Whiyoung Jung, Giseung Park, Youngchul Sung |
| 2019 | AAAI | Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning. | Woojun Kim, Myungsik Cho, Youngchul Sung |
| 2019 | ICML | Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning. | Seungyul Han, Youngchul Sung |
| 2018 | Tencon | Common Pilot Signal Design for Non-Orthogonal Multiple Access in 5G. | Jungho So, Youngchul Sung |
| 2015 | ITW | How many users are needed for non-trivial performance of random beamforming in highly-directional mm-wave MIMO downlink? | Gilwon Lee, Youngchul Sung, Junyeong Seo |
| 2014 | ICASSP | Training signal design for channel estimation in massive MIMO systems. | Song Noh, Michael D. Zoltowski, Youngchul Sung, David J. Love |
| 2014 | ISIT | An extended least difference greedy clique-cover algorithm for index coding. | Sangwoon Kwak, Jungho So, Youngchul Sung |
| 2014 | ISIT | Some new results on index coding when the number of data is less than the number of receivers. | Jungho So, Sangwoon Kwak, Youngchul Sung |
| 2013 | ACSSC | Optimal pilot beam pattern design for massive MIMO systems. | Song Noh, Michael D. Zoltowski, Youngchul Sung, David J. Love |
| 2013 | ICASSP | An efficient parameterization for Pareto-optimal beamformers for k-user MIMO interference channels. | Juho Park, Youngchul Sung |
| 2012 | GLOBECOM | A new approach to beamformer design for massive MIMO systems based on k-Regularity. | Gilwon Lee, Juho Park, Youngchul Sung, Junyeong Seo |
| 2012 | ICASSP | The Bahadur efficiency for energy detection of stationary Gaussian processes. | Yuni Lee, Youngchul Sung |
| 2011 | GLOBECOM | Sum Outage-Rate Maximization for MIMO Interference Channels. | Juho Park, Donggun Kim, Youngchul Sung |
| 2011 | ICASSP | Adaptive beam tracking for interference alignment in time-varying MIMO interference channels: Conjugate gradient approach. | Junse Lee, Heejung Yu, Youngchul Sung, Yong Hoon Lee |
| 2010 | ICASSP | Adaptive beam tracking for interference alignment for multiuser time-varying MIMO interference channels. | Heejung Yu, Youngchul Sung, Haksoo Kim, Yong Hoon Lee |
| 2009 | ICASSP | Upper bound for the loss factor of energy detection of random signals in multipath fading cognitive radios. | Yirang Lim, Youngchul Sung |
| 2009 | IWCMC | Multi-band CSMA/CA-based cognitive radio networks. | Jo Woon Chong, Youngchul Sung, Dan Keun Sung |
| 2009 | VTC | Amplify-Forward Relays with Superimposed Pilot Signals for Frequency-Selective Fading Channels. | Haksoo Kim, Sungho Choi, Heejung Yu, Youngchul Sung, Yong Hoon Lee |
| 2008 | GLOBECOM | Analysis of CSMA/CA Systems under Carrier Sensing Error: Throughput, Delay and Sensitivity. | Jo Woon Chong, Youngchul Sung, Dan Keun Sung |
| 2008 | ICASSP | Large deviations analysis for the detection of 2D hidden Gauss-Markov random fields using sensor networks. | Youngchul Sung, H. Vincent Poor, Heejung Yu |
| 2008 | ICASSP | On optimal operating characteristics of sensing and training for cognitive radios. | Heejung Yu, Youngchul Sung, Yong Hoon Lee |
| 2008 | ISIT | Information, energy and density for Ad Hoc sensor networks over correlated random fields: Large deviations analysis. | Youngchul Sung, Heejung Yu, H. Vincent Poor |
| 2005 | ICASSP | A large deviations approach to sensor scheduling for detection of correlated random fields. | Youngchul Sung, Lang Tong, H. Vincent Poor |
| 2005 | ISIT | Neyman-Pearson detection of Gauss-Markov signals in noise: closed-form error exponent and properties. | Youngchul Sung, Lang Tong, H. Vincent Poor |
| 2004 | ICASSP | Asymptotic locally optimal detector for large-scale sensor networks under the Poisson regime. | Youngchul Sung, Lang Tong, Ananthram Swami |
| 2002 | ICASSP | A projection-based semi-blind channel estimation for long-code WCDMA. | Youngchul Sung, Lang Tong |