Sungjun Cho - RankMe

43 papers A* 10A 5B 1Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Systematic Evaluation of Sample-Level Tokenization Strategies for MEG Foundation Models. CoRR Sungjun Cho, Chetan Gohil, Rukuang Huang, Oiwi Parker Jones, Mark W. Woolrich
2026	J	`jnl`	Diabetic Retinopathy Grading with CLIP-based Ranking-Aware Adaptation:A Comparative Study on Fundus Image. CoRR Sungjun Cho
2025	A*	`conf`	3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation. AAAI Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee
2025	J	`jnl`	LLM-Integrated Bayesian State Space Models for Multimodal Time-Series Forecasting. CoRR Sungjun Cho, Changho Shin, Suenggwan Jo, Xinya Yan, Shourjo Aditya Chaudhuri, Frederic Sala
2025	J	`jnl`	MEG-GPT: A transformer-based foundation model for magnetoencephalography data. CoRR Rukuang Huang, Sungjun Cho, Chetan Gohil, Oiwi Parker Jones, Mark W. Woolrich
2025	J	`jnl`	Reference-Specific Unlearning Metrics Can Hide the Truth: A Reality Check. CoRR Sungjun Cho, Dasol Hwang, Frederic Sala, Sangheum Hwang, Kyunghyun Cho, Sungmin Cha
2025	J	`jnl`	TARDIS: Mitigating Temporal Misalignment via Representation Steering. CoRR Changho Shin, Xinya Yan, Suenggwan Jo, Sungjun Cho, Shourjo Aditya Chaudhuri, Frederic Sala
2025	A*	`conf`	Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs. ICLR Sungmin Cha, Sungjun Cho, Dasol Hwang, Moontae Lee
2024	—	`conf`	AERO: Adaptive Erase Operation for Improving Lifetime and Performance of Modern NAND Flash-Based SSDs. ASPLOS (3) Sungjun Cho, Beomjun Kim, Hyunuk Cho, Gyeongseob Seo, Onur Mutlu, Myungsuk Kim, Jisung Park
2024	J	`jnl`	AERO: Adaptive Erase Operation for Improving Lifetime and Performance of Modern NAND Flash-Based SSDs. CoRR Sungjun Cho, Beomjun Kim, Hyunuk Cho, Gyeongseob Seo, Onur Mutlu, Myungsuk Kim, Jisung Park
2024	A*	`conf`	Bandwidth-Effective DRAM Cache for GPU s with Storage-Class Memory. HPCA Jeongmin Hong, Sungjun Cho, Geonwoo Park, Wonhyuk Yang, Young-Ho Gong, Gwangsun Kim
2024	J	`jnl`	Bandwidth-Effective DRAM Cache for GPUs with Storage-Class Memory. CoRR Jeongmin Hong, Sungjun Cho, Geonwoo Park, Wonhyuk Yang, Young-Ho Gong, Gwangsun Kim
2024	J	`jnl`	Block-SSD: A New Block-Based Blocking SSD Architecture. CoRR Ryan Wong, Arjun Tyagi, Sungjun Cho, Pratik Sampat, Yiqiu Sun
2024	B	`conf`	CR2: Community-aware Compressed Regular Representation for Graph Processing on a GPU. ICPP Shinnung Jeong, Sungjun Cho, Yongwoo Lee, Hyunjun Park, Seonyeong Heo, Gwangsun Kim, Youngsok Kim, Hanjun Kim
2024	A*	`conf`	Learning Equi-Angular Representations for Online Continual Learning. CVPR Minhyuk Seo, Hyunseo Koh, Wonje Jeung, Minjae Lee, San Kim, Hankook Lee, Sungjun Cho, Sungik Choi, Hyunwoo Kim, Jonghyun Choi
2024	J	`jnl`	Learning Equi-angular Representations for Online Continual Learning. CoRR Minhyuk Seo, Hyunseo Koh, Wonje Jeung, Minjae Lee, San Kim, Hankook Lee, Sungjun Cho, Sungik Choi, Hyunwoo Kim, Jonghyun Choi
2024	A*	`conf`	Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers. AAAI Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee
2024	A	`conf`	NORNS: Three Guides for Efficient Automatic Post-Fabrication Optimization of Modern NAND Flash Memory. ICCAD Earl Kim, Hyunuk Cho, Sungjun Cho, Myungsuk Kim, Jisung Park, Jaeyong Jeong, Eunkyoung Kim, Sunghoi Hur
2024	J	`jnl`	Partial-Multivariate Model for Forecasting. CoRR Jaehoon Lee, Hankook Lee, Sungik Choi, Sungjun Cho, Moontae Lee
2024	J	`jnl`	Practical and Reproducible Symbolic Music Generation by Large Language Models with Structural Embeddings. CoRR Seungyeon Rhyu, Kichang Yang, Sungjun Cho, Jaehyeon Kim, Kyogu Lee, Moontae Lee
2024	—	`conf`	Show, Think, and Tell: Thought-Augmented Fine-Tuning of Large Language Models for Video Captioning. CVPR Workshops Byoungjip Kim, Dasol Hwang, Sungjun Cho, Youngsoo Jang, Honglak Lee, Moontae Lee
2024	J	`jnl`	Towards Robust and Cost-Efficient Knowledge Unlearning for Large Language Models. CoRR Sungmin Cha, Sungjun Cho, Dasol Hwang, Moontae Lee
2023	J	`jnl`	3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation. CoRR Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee
2023	J	`jnl`	Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning. CoRR Sungjun Cho, Seunghyuk Cho, Sungwoo Park, Hankook Lee, Honglak Lee, Moontae Lee
2023	A*	`conf`	Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters. AAAI Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee
2023	A	`conf`	Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning. WACV HyunJae Lee, Gihyeon Lee, Junhwan Kim, Sungjun Cho, Dohyun Kim, Donggeun Yoo
2023	J	`jnl`	Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers. CoRR Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee
2023	A	`conf`	PIMFlow: Compiler and Runtime Support for CNN Models on Processing-in-Memory DRAM. CGO Yongwon Shin, Juseong Park, Sungjun Cho, Hyojin Sung
2023	A*	`conf`	Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning. CVPR Sungmin Cha, Sungjun Cho, Dasol Hwang, Sunwon Hong, Moontae Lee, Taesup Moon
2022	—	`conf`	Equivariant Hypergraph Neural Networks. ECCV (21) Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong
2022	J	`jnl`	Equivariant Hypergraph Neural Networks. CoRR Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong
2022	J	`jnl`	Grouping-matrix based Graph Pooling with Adaptive Number of Clusters. CoRR Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee
2022	J	`jnl`	Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning. CoRR HyunJae Lee, Gihyeon Lee, Junhwan Kim, Sungjun Cho, Dohyun Kim, Donggeun Yoo
2022	J	`jnl`	Overcoming Memory Capacity Wall of GPUs With Heterogeneous Memory Stack. IEEE Comput. Archit. Lett. Jeongmin Hong, Sungjun Cho, Gwangsun Kim
2022	A*	`conf`	Pure Transformers are Powerful Graph Learners. NeurIPS Jinwoo Kim, Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong
2022	J	`jnl`	Pure Transformers are Powerful Graph Learners. CoRR Jinwoo Kim, Tien Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong
2022	A*	`conf`	Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost. NeurIPS Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong
2022	J	`jnl`	Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost. CoRR Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong
2021	J	`jnl`	On-the-Fly Rectification for Robust Large-Vocabulary Topic Inference. CoRR Moontae Lee, Sungjun Cho, Kun Dong, David Mimno, David Bindel
2021	A*	`conf`	On-the-fly Rectification for Robust Large-Vocabulary Topic Inference. ICML Moontae Lee, Sungjun Cho, Kun Dong, David Mimno, David Bindel
2021	A	`conf`	Thread-Aware Area-Efficient High-Level Synthesis Compiler for Embedded Devices. CGO Changsu Kim, Shinnung Jeong, Sungjun Cho, Yongwoo Lee, William Song, Youngsok Kim, Hanjun Kim
2020	A	`conf`	Real-Time Object Detection System with Multi-Path Neural Networks. RTAS Seonyeong Heo, Sungjun Cho, Youngsok Kim, Hanjun Kim
2019	—	`conf`	Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm. EMNLP/IJCNLP (1) Moontae Lee, Sungjun Cho, David Bindel, David Mimno