Gyuhak Kim - RankMe

21 papers A* 4A 1Misc 1Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Weak Cues to Real Identities: Evaluating Inference-Driven De-Anonymization in LLM Agents. CoRR Myeongseob Ko, Jihyun Jeong, Sumiran Singh Thakur, Gyuhak Kim, Ruoxi Jia
2025	A	`conf`	Learning After Model Deployment. ECAI Derda Kaymak, Gyuhak Kim, Tomoya Kaichi, Tatsuya Konishi, Bing Liu
2025	J	`jnl`	Learning After Model Deployment. CoRR Derda Kaymak, Gyuhak Kim, Tomoya Kaichi, Tatsuya Konishi, Bing Liu
2025	J	`jnl`	Open-world continual learning: Unifying novelty detection and continual learning. Artif. Intell. Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
2025	J	`jnl`	SFT-GO: Supervised Fine-Tuning with Group Optimization for Large Language Models. CoRR Gyuhak Kim, Sumiran Thakur, Su Min Park, Wei Wei, Yujia Bao
2024	J	`jnl`	Harnessing Business and Media Insights with Large Language Models. CoRR Yujia Bao, Ankit Parag Shah, Neeru Narang, Jonathan Rivers, Rajeev Maksey, Lan Guan, Louise N. Barrere, Shelley Evenson, Rahul Basole, Connie Miao, Ankit Mehta, Fabien Boulay, Su Min Park, Natalie E. Pearson, Eldhose Joy, Tiger He, Sumiran Thakur, Koustav Ghosal, Josh On, Phoebe Morrison, Tim Major, Eva Siqi Wang, Gina Escobar, Jiaheng Wei, Tharindu Cyril Weerasooriya, Queena Song, Daria Lashkevich, Clare Chen, Gyuhak Kim, Dengpan Yin, Don Hejna, Mo Nomeli, Wei Wei
2024	Misc	`conf`	Multi-Modal Continual Pre-Training For Audio Encoders. ICASSP Gyuhak Kim, Ho-Hsiang Wu, Luca Bondi, Bing Liu
2023	J	`jnl`	Continual Learning of Language Models. CoRR Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu
2023	A*	`conf`	Continual Pre-training of Language Models. ICLR Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu
2023	A*	`conf`	Learnability and Algorithm for Continual Learning. ICML Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu
2023	J	`jnl`	Learnability and Algorithm for Continual Learning. CoRR Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu
2023	J	`jnl`	Open-World Continual Learning: Unifying Novelty Detection and Continual Learning. CoRR Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
2023	A*	`conf`	Parameter-Level Soft-Masking for Continual Learning. ICML Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu
2023	J	`jnl`	Parameter-Level Soft-Masking for Continual Learning. CoRR Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu
2022	—	`conf`	A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoLLAs Gyuhak Kim, Bing Liu, Zixuan Ke
2022	J	`jnl`	A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoRR Gyuhak Kim, Zixuan Ke, Bing Liu
2022	A*	`conf`	A Theoretical Study on Solving Continual Learning. NeurIPS Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
2022	J	`jnl`	A Theoretical Study on Solving Continual Learning. CoRR Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
2022	—	`conf`	Continual Learning Based on OOD Detection and Task Masking. CVPR Workshops Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu
2022	J	`jnl`	Continual Learning Based on OOD Detection and Task Masking. CoRR Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu
2022	—	`conf`	Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning. PAKDD (1) Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu