Hangyeol Kim

17 papers A* 2Misc 5Journal 4Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Correlation analysis of pilots and drones using DJI cloud forensic data.
Forensic Sci. Int. Digit. Investig.
Hangyeol Kim, Dabin We, Wonseok An, Myungseo Park
2026 — conf
Tri-Oracle: A 17.78μJ/Token Vision-Language Model Accelerator with Token-Attention-Weight Redundancy Prediction.
ISSCC
Seungjae Yoo, Hangyeol Kim, Muyoung Son, Yi Chen, Suheon Jeong, Joo-Young Kim
2026 J jnl
Two-Stage Expert Offloading for Domain-Aware MoE Inference.
IEEE Access
Hangyeol Kim, Honguk Woo, Younghwan Kim
2025 — conf
Comparative Study of DNN Profilers.
RACS
Jeonghwan Oh, Hangyeol Kim, Kyungeun Oh, Jiman Hong
2025 Misc conf
Efficient Kernel Source Code Management for BMC Optimization.
SAC
Kyungeun Oh, Jeonghwan Oh, Hangyeol Kim, SeongMo An, Junyoung Heo, Jiman Hong
2025 Misc conf
Scalable Orchestration Design for Mixed-Critical Task Scheduling in SDI-based Mobility Systems.
SAC
Ki Cheol Park, Jae Hoon An, Young Hwan Kim, Hangyeol Kim
2024 A* conf
AdapTiV: Sign-Similarity Based Image-Adaptive Token Merging for Vision Transformer Acceleration.
MICRO
Seungjae Yoo, Hangyeol Kim, Joo-Young Kim
2024 — conf
Design of Orchestration Platform Considering Mixed-Criticality Tasks for Mobility Device.
RACS
Ki Cheol Park, Jeahoon An, Younghwan Kim, Hangyeol Kim
2024 — conf
Intelligent BMC-Based Energy Saving Methods for Large-Scale Data Center.
RACS
Ki Cheol Park, Jae Hoon An, Young Hwan Kim, Hangyeol Kim, Yongjin Kwon
2024 — conf
Random Number Generators for Baseboard Management Controllers.
RACS
Kyungeun Oh, Jiman Hong, SeongMo An, Hangyeol Kim
2023 A* conf
Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback.
NeurIPS
Jangwon Kim, Hangyeol Kim, Jiwook Kang, Jongchan Baek, Soohee Han
2023 J jnl
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World.
CoRR
Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin A. Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius
2022 J jnl
Risk score-embedded deep learning for biological age estimation: Development and validation.
Inf. Sci.
Suhyeon Kim, Hangyeol Kim, Eun-Sol Lee, Chiehyeon Lim, Junghye Lee
2021 — conf
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World.
NeurIPS (Competition and Demos)
Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin A. Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius
2013 Misc conf
High-fidelity environmental monitoring using wireless sensor networks.
SenSys
Jeonghoon Kang, Su Chang Lee, Hangyeol Kim, Sukun Kim, David E. Culler, Pil-Mhan Jung, Taejoon Choi, Kooklae Jo, JaeYeol Shim
2012 Misc conf
Modular approach in sensor board design.
SenSys
Jeonghoon Kang, Jaechul Kim, Du-Hwan Yeo, Jongmin Hyun, Kooklae Jo, Taejoon Choi, Pil-Mhan Jung, Hangyeol Kim, Su Chang Lee, Sukun Kim
2012 Misc conf
PEAKSAVE: energy monitoring service.
SenSys
Jeonghoon Kang, Jaechul Kim, Du-Hwan Yeo, Jongmin Hyun, Pil-Mhan Jung, Taejoon Choi, Kooklae Jo, Hangyeol Kim, Su Chang Lee, Sukun Kim