Voice parameter estimation using sequential SVD and wave shaping filter bank. - Sunghoon Hong; Sangki Kang; Souguil Ann (ICSLP, 1994)

Strategic network interdiction. - Sunghoon Hong (BQGT, 2010)

Efficiency and stability in a model of wireless communication networks. - Sunghoon Hong; Youngsub Chun (Soc. Choice Welf., 2010)

Dominant strategy implementation with a convex product space of valuations. - Katherine Cuff; Sunghoon Hong; Jesse A. Schwartz; Quan Wen; John A. Weymark (Soc. Choice Welf., 2012)

Polar Modulation with CR Method for Optical Wireless Communication MIMO System. - Junghyun Kim; Seongjae Moon; Youngwoo Kim; Sunghoon Hong (ICTC, 2018)

An Appearance-and-Structure Fusion Network for Object Viewpoint Estimation. - Yueying Kao; Weiming Li; Zairan Wang; Dongqing Zou; Ran He; Qiang Wang 023; Minsu Ahn; Sunghoon Hong (IJCAI, 2018)

HCR-Net: A Hybrid of Classification and Regression Network for Object Pose Estimation. - Zairan Wang; Weiming Li; Yueying Kao; Dongqing Zou; Qiang Wang 023; Minsu Ahn; Sunghoon Hong (IJCAI, 2018)

Referring Expression Comprehension with Semantic Visual Relationship and Word Mapping. - Chao Zhang; Weiming Li; Wanli Ouyang; Qiang Wang 023; Woo-Shik Kim; Sunghoon Hong (ACM Multimedia, 2019)

Mature GAIL: Imitation Learning for Low-level and High-dimensional Input using Global Encoder and Cost Transformation. - Wonsup Shin; Hyolim Kang; Sunghoon Hong (CoRR, 2019)

Synthetic Depth Transfer for Monocular 3D Object Pose Estimation in the Wild. - Yueying Kao; Weiming Li; Qiang Wang 023; Zhouchen Lin; Wooshik Kim; Sunghoon Hong (AAAI, 2020)

Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic. - Deunsol Yoon; Sunghoon Hong; Byung-Jun Lee 001; Kee-Eung Kim (ICLR, 2021)

Lightweight Collaboration of Detecting and Tracking Algorithm in Low-Power Embedded Systems for Forward Collision Warning. - Sunghoon Hong; Daejin Park (ICUFN, 2021)

Wireless Sensor Network (WSN) Configuration Method to Increase Node Energy Efficiency through Clustering and Location Information. - Jinsoo Kim; Donghwan Lee; Jaejoon Hwang; Sunghoon Hong; Dongil Shin; Dongkyoo Shin (Symmetry, 2021)

Structure-Aware Transformer Policy for Inhomogeneous Multi-Task Reinforcement Learning. - Sunghoon Hong; Deunsol Yoon; Kee-Eung Kim (ICLR, 2022)

Continuous Differential Image-based Fast Convolution for Convolutional Neural Networks. - Sunghoon Hong; Daejin Park (ICTC, 2022)

Runtime Virtual Lane Prediction Based on Inverse Perspective Transformation and Machine Learning for Lane Departure Warning in Low-Power Embedded Systems. - Sunghoon Hong; Daejin Park (IST, 2022)

Runtime ML-DL Hybrid Inference Platform Based on Multiplexing Adaptive Space-Time Resolution for Fast Car Incident Prevention in Low-Power Embedded Systems. - Sunghoon Hong; Daejin Park (Sensors, 2022)

Differential Image-based Fast and Compatible Convolutional Layers for Multi-core Processors. - Sunghoon Hong; Daejin Park (ICAIIC, 2023)

Naphtha Cracking Center Scheduling Optimization using Multi-Agent Reinforcement Learning. - Sunghoon Hong; Deunsol Yoon; Whiyoung Jung; Jinsang Lee; Hyundam Yoo; Jiwon Ham; Suhyun Jung; Chanwoo Moon; Yeontae Jung; Kanghoon Lee; Woohyung Lim; Somin Jeon; et al. (AAMAS, 2024)

Differential Image-Based Scalable YOLOv7-Tiny Implementation for Clustered Embedded Systems. - Sunghoon Hong; Daejin Park (IEEE Trans. Intell. Transp. Syst., 2024)

ML-Based Fast and Precise Embedded Rack Detection Software for Docking and Transport of Autonomous Mobile Robots Using 2-D LiDAR. - Sunghoon Hong; Daejin Park (IEEE Embed. Syst. Lett., 2024)

Hierarchical Decomposition Framework for Steiner Tree Packing Problem. - Hanbum Ko; Minu Kim; Han-Seul Jeong; Sunghoon Hong; Deunsol Yoon; Youngjoon Park; Woohyung Lim; Honglak Lee; Moontae Lee; Kanghoon Lee; Sungbin Lim; Sungryull Sohn (ICORES, 2025)

Online Pre-Training for Offline-to-Online Reinforcement Learning. - Yongjae Shin; Jeonghye Kim; Whiyoung Jung; Sunghoon Hong; Deunsol Yoon; Youngsoo Jang; Geonhyeong Kim; Jongseong Chae; Youngchul Sung; Kanghoon Lee; Woohyung Lim (CoRR, 2025)

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 (CoRR, 2025)