Jeonghoon Kim - RankMe

42 papers A* 6Misc 1Journal 28Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarks Are Not That Out of Distribution: Word Overlap Predicts Performance. CoRR Woojin Chung, Jeonghoon Kim
2026	J	`jnl`	Conjunctive query embedding-based few-shot item recommendation. Neural Networks Jeonghoon Kim, Dongwon Jung, Hogun Park
2026	J	`jnl`	OmniACBench: A Benchmark for Evaluating Context-Grounded Acoustic Control in Omni-Modal Models. CoRR Seunghee Kim, Bumkyu Park, Kyudan Jung, Joosung Lee, Soyoon Kim, Jeonghoon Kim, Taeuk Kim, Hwiyeol Jo
2026	J	`jnl`	ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning. CoRR Juyong Jiang, Jiasi Shen, Sung Hun Kim, Kang Min Yoo, Jeonghoon Kim, Sungju Kim
2026	J	`jnl`	SNAP: Speaker Nulling for Artifact Projection in Speech Deepfake Detection. CoRR Kyudan Jung, Jihwan Kim, Minwoo Lee, Soyoon Kim, Jeonghoon Kim, Jaegul Choo, Cheonbok Park
2026	J	`jnl`	Sommelier: Scalable Open Multi-turn Audio Pre-processing for Full-duplex Speech Language Models. CoRR Kyudan Jung, Jihwan Kim, Soyoon Kim, Jeonghoon Kim, Jaegul Choo, Cheonbok Park
2025	J	`jnl`	An empirical study on impact of label noise on synthetic tabular data generation. Mach. Learn. Jeonghoon Kim, Chao Huang, Xin Liu
2025	J	`jnl`	Class Incremental Learning via Feature Space Calibration. Comput. Vis. Media Jeonghoon Kim, Jinming Cao, Jihie Kim, Roger Zimmermann, Seongsik Park
2025	J	`jnl`	Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language Models. CoRR Cheonbok Park, Jeonghoon Kim, Joosung Lee, Sanghwan Bae, Jaegul Choo, Kang Min Yoo
2025	J	`jnl`	Enhancing Hallucination Detection via Future Context. CoRR Joosung Lee, Cheonbok Park, Hwiyeol Jo, Jeonghoon Kim, Joonsuk Park, Kang Min Yoo
2025	J	`jnl`	Exploiting Vocabulary Frequency Imbalance in Language Model Pre-training. CoRR Woojin Chung, Jeonghoon Kim
2025	—	`conf`	LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices. NAACL (Long Papers) Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee
2025	J	`jnl`	Peri-LN: Revisiting Layer Normalization in the Transformer Architecture. CoRR Jeonghoon Kim, Byeongchan Lee, Cheonbok Park, Yeontaek Oh, Beomjun Kim, Taehwan Yoo, Seongjin Shin, Dongyoon Han, Jinwoo Shin, Kang Min Yoo
2025	A*	`conf`	Peri-LN: Revisiting Normalization Layer in the Transformer Architecture. ICML Jeonghoon Kim, Byeongchan Lee, Cheonbok Park, Yeontaek Oh, Beomjun Kim, Taehwan Yoo, Seongjin Shin, Dongyoon Han, Jinwoo Shin, Kang Min Yoo
2025	J	`jnl`	ReGUIDE: Data Efficient GUI Grounding via Spatial Reasoning and Search. CoRR Hyunseok Lee, Jeonghoon Kim, Beomjun Kim, Jihoon Tack, Chansong Jo, Jaehong Lee, Cheonbok Park, Sookyo In, Jinwoo Shin, Kang Min Yoo
2025	J	`jnl`	SAGE-Amine: Generative Amine Design with Multi-Property Optimization for Efficient CO2 Capture. CoRR Hocheol Lim, Hyein Cho, Jeonghoon Kim
2025	J	`jnl`	SAMDWICH: Moment-aware Video-text Alignment for Referring Video Object Segmentation. CoRR Seunghun Lee, Jiwan Seo, Jeonghoon Kim, Siwon Kim, Haeun Yun, Hyogyeong Jeon, Wonhyeok Choi, Jaehoon Jeong, Zane Durante, Sang Hyun Park, Sunghoon Im
2024	—	`conf`	Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning. ACL (Findings) Jeonghoon Kim, Heesoo Jung, Hyeju Jang, Hogun Park
2024	J	`jnl`	Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning. CoRR Jeonghoon Kim, Heesoo Jung, Hyeju Jang, Hogun Park
2024	J	`jnl`	LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices. CoRR Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee
2024	A*	`conf`	LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models. ICLR Gunho Park, Baeseong Park, Minsub Kim, Sungjae Lee, Jeonghoon Kim, Beomseok Kwon, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee
2024	A*	`conf`	Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models. ICLR Jung Hwan Heo, Jeonghoon Kim, Beomseok Kwon, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee
2024	—	`conf`	Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains. ECCV (20) Jaeyeul Kim, Jungwan Woo, Jeonghoon Kim, Sunghoon Im
2023	J	`jnl`	Domain Generalization in LiDAR Semantic Segmentation Leveraged by Density Discriminative Feature Embedding. CoRR Jaeyeul Kim, Jungwan Woo, Jeonghoon Kim, Sunghoon Im
2023	A*	`conf`	FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization. ICML Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee
2023	J	`jnl`	FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization. CoRR Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee
2023	—	`—`	Machine Learning Applications and Developments for Swine Industry Jeonghoon Kim
2023	A*	`conf`	Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization. NeurIPS Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee
2023	J	`jnl`	Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization. CoRR Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee
2023	J	`jnl`	Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models. CoRR Jung Hwan Heo, Jeonghoon Kim, Beomseok Kwon, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee
2023	A*	`conf`	Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic. ICLR Yulhwa Kim, Jaeyong Jang, Jehun Lee, Jihoon Park, Jeonghoon Kim, Byeongwook Kim, Baeseong Park, Se Jung Kwon, Dongsoo Lee, Jae-Joon Kim
2022	—	`conf`	AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. EMNLP (Findings) Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee
2022	J	`jnl`	AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. CoRR Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee
2022	—	`conf`	Demusa: Demo for Multimodal Sentiment Analysis. ICME Workshops Soyeon Hong, Jeonghoon Kim, Donghoon Lee, Hyunsouk Cho
2022	J	`jnl`	ProFeat: Unsupervised image clustering via progressive feature refinement. Pattern Recognit. Lett. Jeonghoon Kim, Sunghoon Im, Sunghyun Cho
2021	J	`jnl`	Binarized Encoder-Decoder Network and Binarized Deconvolution Engine for Semantic Segmentation. IEEE Access Hyunwoo Kim, Jeonghoon Kim, Jungwook Choi, Jungkeol Lee, Yong Ho Song
2021	J	`jnl`	CogME: A Novel Evaluation Metric for Video Understanding Intelligence. CoRR Minjung Shin, Jeonghoon Kim, Seongho Choi, Yu-Jung Heo, Donghyun Kim, Minsu Lee, Byoung-Tak Zhang, Jeh-Kwang Ryu
2021	J	`jnl`	OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space. CoRR Sungkwon An, Jeonghoon Kim, Myungjoo Kang, Shahbaz Razaei, Xin Liu
2021	J	`jnl`	Towards a Federated Learning Framework for Heterogeneous Devices of Internet of Things. CoRR Huanle Zhang, Jeonghoon Kim
2018	Misc	`conf`	A Hospital-tethered Mobile Personal Health Records: Comparison of Patient Engagement Function Usage Pattern According to Version-up. AMIA Yura Lee, Yu Rang Park, Jae Ho Lee, Ji-Young Kim, Jeonghoon Kim, Woo-Sung Kim
2018	—	`conf`	Reliability characterization of advanced CMOS image sensor (CIS) with 3D stack and in-pixel DTI. IRPS Younggeun Ji, Jeonghoon Kim, Jungin Kim, Miji Lee, Jaeheon Noh, Taeyoung Jeong, Juhyeon Shin, Junho Kim, Young Heo, Ung Cho, Hyun-Chul Sagong, Junekyun Park, Yeonsik Choo, Gilhwan Do, Hoyoung Kang, Eunkyeong Choi, Dongyoon Sun, Changki Kang, Sangchul Shin, Sangwoo Pae
2004	J	`jnl`	Image enhancement in the JPEG domain for people with vision impairment. IEEE Trans. Biomed. Eng. Jinshan Tang, Jeonghoon Kim, Eli Peli