Directions
2023
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Deep Model Compression Also Helps Models Capture Ambiguity
Hancheol Park, Jong C. Park
61st Annual Meeting of the Association for Computational Linguistics, ACL 2023
2023[]
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Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility
Lee, Hoil, Ayed, Fadhel, Jung, Paul, Lee, J, Hongseok Yang, Caron, Francois
JOURNAL OF MACHINE LEARNING RESEARCH
2023[]
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Designing a Memory Disaggregation System for Cloud
Wonsup Yoon, Jisu Ok, Sue Moon, Kwon Youngjin
ACM SIGCOMM 2023 Conference
2023[]
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Designing for AI-Powered Social Computing Systems
Lim, Gionnieve, Hyunwoo Kim, Yoonseo Choi, Li, Toby Jia-Jun, Kulkarni, Chinmay, Subramonyam, Hariharan, Seering, Joseph, Bernstein, Michael S, Zhang, Amy X, Glassman, Elena L, Perrault, Simon, Juho Kim
26th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2023
2023[]
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DiLOS: Do Not Trade Compatibility for Performance in Memory Disaggregation
Wonsup Yoon, Jisu Ok, Oh, Jinyoung, Sue Moon, Kwon Youngjin
EuroSys 2023
2023[]
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Diagnosing Kernel Concurrency Failures with AITIA
Jeong, Dar R, Jung, Minkyu, Lee, Yoochan, Lee, Byoungyoung, Insik Shin, Kwon Youngjin
EuroSys 2023
2023[]
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DiffCSP: Finding Browser Bugs in Content Security Policy Enforcement through Differential Testing
Seongil Wi, Sooel Son, Nguyen, Trung Tin, Kim, Jiwhan, Stock, Ben
30th Network & Distributed System Security Symposium (NDSS 2023)
2023[]
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Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data
이주민, 임우빈, 이세빈, 윤성의
Workshop on Image Processing and Image Understanding 2023
2023[]
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Digital health in smart cities: Rethinking the remote health monitoring architecture on combining edge, fog, and cloud
Rodrigues, Vinicius Facco, Righi, Rodrigo da Rosa, da Costa, Cristiano Andre, Zeiser, Felipe Andre, Eskofier, Bjoern, Maier, Andreas, Daeyoung KIM
HEALTH AND TECHNOLOGY
2023 -
Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker
Sukmin Cho, Soyeong Jeong, Seo, Jeongyeon, Jong C. Park
61st Annual Meeting of the Association for Computational Linguistics, ACL 2023
2023[]
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DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision
SUNGWON HAN, Seungeon Lee, Wu, Fangzhao, Kim, Sundong, Wu, Chuhan, Wang, Xiting, Xie, Xing, Meeyoung Cha
WWW '23: The ACM Web Conference 2023
2023[]
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Dynamic and Effect-driven Output Service Selection for IoT Environments Using Deep Reinforcement Learning
KYEONGDEOK BAEK, In-Young Ko
IEEE INTERNET OF THINGS JOURNAL
2023 -
Edge-Cloud Collaboration Architecture for Efficient Web-Based Cognitive Services
Wang, Zhaoyan, In-Young Ko
2023 IEEE International Conference on Big Data and Smart Computing, BigComp 2023
2023[]
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Effective Emoticon Suggestion Technique Based on Active Emotional Input Using Facial Expressions and Heart Rate Signals
Kim, Jesung, Kang, Mincheol, Seo, Bohun, Hong, Jeongkyu, Soontae Kim
SENSORS
2023 -
Efficient Reference-based Video Super-Resolution (ERVSR): Single Reference Image Is All You Need
Kim, Youngrae, Lim, Jinsu, Cho, Hoonhee, Lee, Minji, Dongman Lee, Yoon, KJ, Ho-Jin Choi
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
2023[]
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EliRank: A Code Editing History Based Ranking Model for Early Detection of Students in Need
Jungkook Park, Alice Oh
Tenth ACM Conference on Learning @ Scale (L@S 2023)
2023[]
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EnclaveVPN: Toward Optimized Utilization of Enclave Page Cache and Practical Performance of Data Plane for Security-Enhanced Cloud VPN
Park, Jaemin, Kang, Brent Byunghoon
RAID 2023: The 26th International Symposium on Research in Attacks, Intrusions and Defenses
2023[]
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Ensuring Data Freshness in Wireless Monitoring Networks: Age-of-Information Sensitive Coverage and Energy Efficiency Perspectives
Kim, Jinwoong, Kim, Minsu, Kim Min-Soo, Lee, Jemin
IEEE INTERNET OF THINGS JOURNAL
2023 -
EnvPipe: Performance-preserving DNN Training Framework for Saving Energy
Choi, Sangjin, Koo, Inhoe, Ahn, Jeongsub, Jeon, Myeongjae, Kwon Youngjin
2023 USENIX Annual Technical Conference
2023[]
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Evaluating Surprise Adequacy for Deep Learning System Testing
Jinhan Kim, Feldt, Robert, Shin Yoo
ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY
2023
