Hyunseung Kim

According to our database, Hyunseung Kim authored at least 21 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Digital Guardians: The Past and The Future of Cyber-Physical Resilience.

Saurabh Bagchi, Hyunseung Kim, Tarek F. Abdelzaher, Homa Alemzadeh, Somali Chaterji, Glen Chou, Yuying Duan, Fanxin Kong, Michael Lemmon, Yin Li, Mengyu Liu, Wenhao Luo, Meiyi Ma, Sibin Mohan, Ayan Mukhopadhyay, Melkior Ornik, Dimitra Panagou, Kristin Yvonne Rozier, Ivan Ruchkin, Huajie Shao, Sze Zheng Yong, Majid Zamani, Xugui Zhou

CoRR, April, 2026

ApproxBit: Efficient Video Analytics through Latency-Aware Offloading with Learned Binary Codes.

Hyunseung Kim, Sheetal Prasanna, Yin Li, Somali Chaterji, Saurabh Bagchi

Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems, 2026

2025

PHUMA: Physically-Grounded Humanoid Locomotion Dataset.

Kyungmin Lee, Sibeen Kim, Minho Park, Hyunseung Kim, Dongyoon Hwang, Hojoon Lee, Jaegul Choo

CoRR, October, 2025

Towards a Generalizable AI for Materials Discovery: Validation through Immersion Coolant Screening.

Hyunseung Kim, Dae-Woong Jeong, Changyoung Park, Won-Ji Lee, Ha-Eun Lee, Ji-Hye Lee, Rodrigo Hormazabal, Sung Moon Ko, Sumin Lee, Soorin Yim, Chanhui Lee, Sehui Han, Sang-Ho Cha, Woohyung Lim

CoRR, October, 2025

CAMILA: Context-Aware Masking for Image Editing with Language Alignment.

Hyunseung Kim, Chiho Choi, Srikanth Malla, Sai Prahladh Padmanabhan, Saurabh Bagchi, Joon Hee Choi

CoRR, September, 2025

SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning.

Hojoon Lee, Dongyoon Hwang, Donghu Kim, Hyunseung Kim, Jun Jet Tai, Kaushik Subramanian, Peter R. Wurman, Jaegul Choo, Peter Stone, Takuma Seno

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Scalable Multi-Task Transfer Learning for Molecular Property Prediction.

Chanhui Lee, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Soorin Yim, Sehui Han, Sungwoong Kim, Sungbin Lim

CoRR, 2024

Task Addition in Multi-Task Learning by Geometrical Alignment.

Soorin Yim, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Chanhui Lee, Sehui Han

CoRR, 2024

Multitask Extension of Geometrically Aligned Transfer Encoder.

Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Hyunseung Kim, Chanhui Lee, Soorin Yim, Sehui Han

CoRR, 2024

Do's and Don'ts: Learning Desirable Skills with Instruction Videos.

Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Donghu Kim, Jaegul Choo

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

13.8 A 1a-nm 1.05V 10.5Gb/s/pin 16Gb LPDDR5 Turbo DRAM with WCK Correction Strategy, a Voltage-Offset-Calibrated Receiver and Parasitic Capacitance Reduction.

Yangho Seo, Jihee Choi, Sunki Cho, Hyunwook Han, Wonjong Kim, Gyeongha Ryu, Jungil Ahn, Younga Cho, Sungphil Choi, Seohee Lee, Wooju Lee, Chaehyuk Lee, Kiup Kim, Seongseop Lee, Sangbeom Park, Minjun Choi, Sungwoo Lee, Mino Kim, Taekyun Shin, Hyeongsoo Jeong, Hyunseung Kim, Houk Song, Yunsuk Hong, Seokju Yoon, Giwook Park, Hokeun You, Changkyu Choi, Hae-Kang Jung, Joohwan Cho, Jonghwan Kim

Proceedings of the IEEE International Solid-State Circuits Conference, 2024

Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks.

Hojoon Lee, Hyeonseo Cho, Hyunseung Kim, Donghu Kim, Dugki Min, Jaegul Choo, Clare Lyle

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control.

Dongyoon Hwang, Byungkun Lee, Hojoon Lee, Hyunseung Kim, Jaegul Choo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Enhancing Generalization and Plasticity for Sample Efficient Reinforcement Learning.

Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun

CoRR, 2023

Materials Discovery with Extreme Properties via AI-Driven Combinatorial Chemistry.

Hyunseung Kim, Haeyeon Choi, Dongju Kang, Won Bo Lee, Jonggeol Na

CoRR, 2023

PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning.

Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Discover Skills through Guidance.

Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Sejik Park, Kyushik Min, Jaegul Choo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games.

Hojoon Lee, Dongyoon Hwang, Hyunseung Kim, Byungkun Lee, Jaegul Choo

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention.

Hyunseung Kim, Jonggeol Na, Won Bo Lee

J. Chem. Inf. Model., 2021

Generative chemical transformer: attention makes neural machine learn molecular geometric structures via text.

Hyunseung Kim, Jonggeol Na, Won Bo Lee

CoRR, 2021

2019

Source localization for hazardous material release in an outdoor chemical plant via a combination of LSTM-RNN and CFD simulation.

Hyunseung Kim, Myeongnam Park, Chang Won Kim, Dongil Shin

Comput. Chem. Eng., 2019