Showing results 59 to 118 of 140
How Much Information Can One Get From a Wireless Ad Hoc Sensor Network Over a Correlated Random Field? Sung, Youngchul; Poor, H. Vincent; Yu, Heejung, IEEE TRANSACTIONS ON INFORMATION THEORY, v.55, pp.2827 - 2847, 2009-06 |
Hybrid beamformer design for millimeter wave MIMO OFDM downlink systems = 밀리미터 파 대역 다중사용자 MIMO OFDM 하향 시스템에서의 하이브리드 빔형성 설계 연구link Kwon, Yong-Jin; 권용진; et al, 한국과학기술원, 2016 |
Hybrid beamformer design for mmWave wideband multi-user MIMO-OFDM systems Kwon, Yongjin; Chung, Jihoon; Sung, Youngchul, 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017, pp.1 - 5, Institute of Electrical and Electronics Engineers Inc., 2017-07-05 |
Imitation learning from compressed observation domain = 압축된 관찰 영역으로부터의 모방 학습link Noh, Hyungcheol; Sung, Youngchul; et al, 한국과학기술원, 2018 |
Information, energy and density for ad hoc sensor networks over correlated random fields: Large deviations analysis Sung, Youngchul; H. Vincent Poor; Heejung Yu, 2008 IEEE International Symposium on Information Theory, ISIT 2008, pp.1592 - 1596, IEEE, 2008-07-06 |
Interference alignment in asymmetric multi-input multi-output interference channels Park, J; Sung, Youngchul, Joint Conference on Communications and Information, KICS 한국통신학회, 2010-04-28 |
Interference-symbol-based user cooperation scheme Kim, C; Sung, Youngchul; Lee, YH, Joint Conference on Communications and Information (JCCI), KICS 한국통신학회, 2011-05-12 |
Iterative algorithm for interference alignment in multiuser MIMO interference channels Heejung Yu; Sung, Youngchul, 2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2010, IEEE, 2010-06-20 |
Joint direct and indirect channel estimation for RIS-assisted millimeter-wave systems based on array signal processing Noh, Song; Seo, Kyeongsuk; Sung, Youngchul; Dove, David J.; Lee, Junse; Yu, Heejung, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v.22, no.11, pp.8378 - 8391, 2023-11 |
Joint optimization of transmit power and operating point of channel sensing for cognitive radio networks Yu, H; Sung, Youngchul; Lee, YH, Joint Conference on Communications and Information, KICS 한국통신학회, 2010-04-29 |
Large deviations analysis for the detection of 2D hidden Gauss-Markov random fields using sensor networks Sung, Youngchul; Poor, H. Vincent; Yu, Heejung, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, pp.3893 - 3896, IEEE, 2008-03-31 |
Learning coordinated behaviors in multi-agent reinforcement learning = 다중 에이전트 강화학습의 행동 조화 학습 방법 연구link Kim, Woojun; Sung, Youngchul; et al, 한국과학기술원, 2023 |
Least Squares Approach to Joint Beam Design for Interference Alignment in Multiuser Multi-Input Multi-Output Interference Channels Yu, H; Sung, Youngchul, IEEE TRANSACTIONS ON SIGNAL PROCESSING, v.58, pp.4960 - 4966, 2010-09 |
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework Kim, Woojun; Kim, Jeonghye; Sung, Youngchul, 40th International Conference on Machine Learning, ICML 2023, pp.16619 - 16638, ML Research Press, 2023-07 |
LESSON: Learning to integrate exploration strategies for reinforcement learning via an option framework = 옵션 프레임워크를 통한 강화 학습의 탐색 전략 통합 학습 알고리즘link Kim, Jeonghye; 김정혜; et al, 한국과학기술원, 2024 |
Linear precoder design for blind channel estimation for MIMO-OFDM Systems under a sparse structure Noh, S; Sung, Youngchul, IEEK 2011 Summer Conference, IEEK 대한전자공학회, 2011-06-23 |
Locally asymptotically optimal detector for large-scale sensor networks Sung, Youngchul; Tong, L; Swami, A, IEEE International Conference on Acoustics, Speech, and Signal Processing 2004, IEEE, 2004-05-18 |
MASER: Multi-agent reinforcement learning with subgoals generated for experience replay buffer Jeon, JeeWon; Kim, WooJun; Jung, Whiyoung; Sung, Youngchul, The 39th International Conference on Machine Learning, ICML 2022, International Conference on Machine Learning, 2022-07-23 |
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer Jeon, Jeewon; Kim, Woojun; Jung, Whiyoung; Sung, Youngchul, 39th International Conference on Machine Learning, ICML 2022, pp.10041 - 10052, ML Research Press, 2022-07 |
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning Kim, Woojun; Cho, Myungsik; Sung, Youngchul, 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, pp.6079 - 6086, Assoc Advancement Artificial Intelligence, 2019-01-31 |
Meta-learning memory representations for continual learning with scalar-output networks = 스칼라 출력 신경망을 통한 연속학습에 적합한 기억 표현법 메타학습link Park, Jong Eui; Sung, Youngchul; et al, 한국과학기술원, 2020 |
Meta-reinforcement learning with imaginary tasks = 가상 태스크를 활용한 메타 강화학습link Lee, Suyoung; 이수영; et al, 한국과학기술원, 2024 |
Multi-agent reinforcement learning with sub-goals from experience replay = 경험적 재현 버퍼로부터의 중간 목표를 이용한 다중 에이전트 강화학습link Jeon, Jeewon; Sung, Youngchul; et al, 한국과학기술원, 2022 |
Multi-band CSMA/CA-based cognitive radio networks Jowoon Chong; Sung, Youngchul; Sung, Dan Keun, 2009 ACM International Wireless Communications and Mobile Computing Conference, IWCMC 2009, pp.298 - 303, IEEE, 2009-06-21 |
Multi-task reinforcement learning with task representation method Cho, Myung-Sik; Jung, Whiyoung; Sung, Youngchul, ICLR 2022 Workshop on Generalizable Policy Learning in Physical World, ICLR, 2022-04-29 |
Neyman-Pearson detection of Gauss-Markov signals in noise: Closed-form error exponent and properties Sung, Youngchul; Poor, HV; Tong, L, IEEE International Symposium on Information Theory 2005, IEEE, 2005-09-05 |
Neyman-Pearson Detection of Gauss-Markov Signals in Noise: Closed-Form Error Exponent and Properties Sung, Youngchul; Tong, Lang; Poor, H. Vincent, Proceedings : IEEE International Symposium on Information Theory, v.2, pp.1568-1572, 2005-09 |
Nonlinear Rescaling of Acquisition Metric Values Based on Distribution Fitting Park, Jongeui; Sung, Youngchul, ICML 2022 Workshop: Adaptive Experimental Design and Active Learning in the Real World (ReALML), International Conference on Machine Learning, 2022-07-23 |
Novel entropy frameworks for sample-efficient exploration in off-policy reinforcement learning = 오프 폴리시 강화학습에서의 샘플 효율적 탐험을 위한 새로운 엔트로피 활용법link Han, Seungyul; Sung, Youngchul; et al, 한국과학기술원, 2021 |
Off-policy multi-agent policy optimization with agent-wise advantage estimation = 에이전트별 어드밴티지 추정을 통한 오프-폴리시 다중 에이전트 정책 최적화link Kim, Seongmin; Sung, Youngchul; et al, 한국과학기술원, 2023 |
Off-policy multi-agent policy optimization with multi-step counterfactual advantage estimation Kim, Seongmin; Kim, Woojun; Jeon, Jeewon; Sung, Youngchul; Han, Seungyul, The 22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023, AAMAS Workshop, 2023-05 |
On optimal operating characteristics of sensing and training for cognitive radios Yu, Heejung; Sung, Youngchul; Lee, Yong-Hoon, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, pp.2785 - 2788, IEEE, 2008-03-31 |
On the filter design for generalized frequency division multiplexing = Generalized frequency division multiplexing 필터 설계 : 정보 전송률과 첨두 전력 대 평균 전력비간의 상호관계link Han, Seungyul; 한승열; et al, 한국과학기술원, 2016 |
On the Pareto-Optimal Beam Structure and Design for Multi-User MIMO Interference Channels Park, Juho; Sung, Youngchul, IEEE TRANSACTIONS ON SIGNAL PROCESSING, v.61, no.23, pp.5932 - 5946, 2013-12 |
Optimal and suboptimal detection of Gaussian signals in noise: Asymptotic relative efficiency Sung, Youngchul; Tong, L; Poor, HV, Conference on Advanced Signal Processing Algorithms, Architectures, and Implementations, SPIE, 2005-08-02 |
Optimal node density for two-dimensional sensor arrays Sung, Youngchul; H. Vincent Poor; Heejung Yu, SAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop, pp.271 - 274, IEEE, 2008-07-21 |
Optimal pilot beam pattern design for massive MIMO systems Noh, Song; Zoltowski, Michael; Sung, Youngchul; Love, David, Asilomar Conference on Signals, Systems, and Computers, pp.2072 - 2076, IEEE Signal Processing Society, 2013-11-06 |
Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning KIM, WOOJUN; Sung, Youngchul, The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), AAMAS, 2023-06-02 |
Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition Lee, Suyoung; Cho, Myungsik; Sung, Youngchul, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023, Neural Information Processing Systems, 2023-12 |
Pilot Beam Pattern Design for Channel Estimation in Massive MIMO Systems Noh, Song; Zoltowski, Michael D.; Sung, Youngchul; Love, David J., IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, v.8, no.5, pp.787 - 801, 2014-10 |
Polymer substrate for flexible display having enhanced flexibility Yoon, Choon Sup; Sung, Youngchul; Cho, Dong-Ho; Jeon, DukYoung, 2012-05-01 |
Population-Guided Parallel Policy Search for Reinforcement Learning Jung, Whiyoung; Park, Giseung; Sung, Youngchul, The International Conference on Learning Representations (ICLR) 2020, International Conference on Learning Representations, 2020-04-26 |
Precoder design for semi-blind channel estimation for OFDM systems Song Noh; Sung, Youngchul, 2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010, pp.137 - 140, Institute for Infocomm Research, 2010-12-14 |
Prediction of optimal parameters of semiconductor process by double CVAE model = Double c-VAE model을 통한 semiconductor process target ouput input parameter 예측link Son, In Uk; Sung, Youngchul; et al, 한국과학기술원, 2023 |
Quantile constrained reinforcement learning: A reinforcement learning framework constraining outage probability Jung, Whiyoung; CHO, MYUNG-SIK; Park, Jongeui; Sung, Youngchul, Thirty-sixth Conference on Neural Information Processing Systems, NeurIPS 2022, Neural information processing systems foundation, 2022-12-01 |
Rate improvement for non-orthogonal multiple access systems based on transmission scheme and pilot design = 전송 기법 설계 및 파일럿 설계를 통한 비직교 다중 접속 기법에서의 전송량 향상 방법link So, Jungho; Sung, Youngchul; et al, 한국과학기술원, 2018 |
RawPEACH: Multiband CSMA/CA-Based Cognitive Radio Networks Chong, Jo Woon; Sung, Youngchul; Sung, Dan Keun, JOURNAL OF COMMUNICATIONS AND NETWORKS, v.11, no.2, pp.175 - 186, 2009-04 |
Reinforcement learning with constraints on distribution functions = 확률 분포 함수에 대한 제한조건이 있는 강화학습link Jung, Whiyoung; Sung, Youngchul; et al, 한국과학기술원, 2022 |
Robust beam design in multi-input multi-output interference channels based on mean square error Kim, D; Park, J; Sung, Youngchul, Joint Conference on Communications and Information (JCCI), KICS 한국통신학회, 2011-05-12 |
Robust imitation learning = 환경변화에 강인한 모방 학습link Chae, Jongseong; Sung, Youngchul; et al, 한국과학기술원, 2021 |
Robust imitation learning against variations in environment dynamics Chae, Jongseong; Han, Seungyul; Jung, Whiyoung; Cho, Myung-Sik; Choi, Sungho; Sung, Youngchul, The 39th International Conference on Machine Learning, ICML 2022, International Conference on Machine Learning, 2022-07-23 |
Route selection for detection of correlated random fields in large sensor networks Sung, Youngchul; Tong, L; Ephremides, A, Conference on Information Science and Systems 2005, IEEE, 2005-03-16 |
Sample-efficient and safe deep reinforcement learning via reset deep ensemble agents Kim, Woojun; Shin, Yongjae; Park, Jongeui; Sung, Youngchul, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023, Neural Information Processing Systems, 2023-12 |
Sample-efficient and safe deep reinforcement learning via reset deep ensemble agents = 앙상블 에이전트의 재설정을 통한 샘플 효율적이고 안전한 강화학습link Shin, Yongjae; 신용재; et al, 한국과학기술원, 2024 |
Sensor configuration and activation for field detection in large sensor arrays Sung, Youngchul; Zhang, X; Tong, L; Poor, HV, IEEE TRANSACTIONS ON SIGNAL PROCESSING, v.56, pp.447 - 463, 2008-02 |
Signal Processing Advances for 3G WCDMA: From Rake Receivers to Blind Techniques Sung, Youngchul; Lim, Yirang; Tong, Lang; van der Veen, Alle-Jan, IEEE COMMUNICATIONS MAGAZINE, v.47, no.1, pp.48 - 54, 2009-01 |
Some new results on index coding when the number of data is less than the number of receivers So, Jungho; Kwak, Sangwoon; Sung, Youngchul, 2014 IEEE International Symposium on Information Theory, pp.496 - 500, IEEE, 2014-06-30 |
Sparse channel estimation based on compressive sensing kalman filter with limited feedback = 칼만 필터 압축센싱 기반의 피드백을 통한 희소 채널 추정link Mun, GwonHan; Sung, Youngchul; et al, 한국과학기술원, 2015 |
Sum outage-rate maximization for MIMO interference channels Kim, D; Park, J; Sung, Youngchul, 2011 Globecom, IEEE, 2011-12-07 |
Superposition data transmission for cognitive radios: Performance and algorithms Yu, Heejung; Sung, Youngchul; Lee, Yong-Hoon, 2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success, pp.1 - 6, IEEE, 2008-11-17 |
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