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Journal Articles
- 2022
[j1]Jeongmin Hong
, Sungjun Cho, Gwangsun Kim:
Overcoming Memory Capacity Wall of GPUs With Heterogeneous Memory Stack. IEEE Comput. Archit. Lett. 21(2): 61-64 (2022)
Conference and Workshop Papers
- 2024
- [c17]Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee:
Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers. AAAI 2024: 11186-11194 - [c16]Sungjun Cho, Beomjun Kim, Hyunuk Cho, Gyeongseob Seo, Onur Mutlu, Myungsuk Kim, Jisung Park:
AERO: Adaptive Erase Operation for Improving Lifetime and Performance of Modern NAND Flash-Based SSDs. ASPLOS (3) 2024: 101-118 - [c15]Byoungjip Kim, Dasol Hwang, Sungjun Cho, Youngsoo Jang, Honglak Lee, Moontae Lee:
Show, Think, and Tell: Thought-Augmented Fine-Tuning of Large Language Models for Video Captioning. CVPR Workshops 2024: 1808-1817 - [c14]Minhyuk Seo, Hyunseo Koh, Wonje Jeung, Minjae Lee, San Kim, Hankook Lee, Sungjun Cho, Sungik Choi, Hyunwoo Kim, Jonghyun Choi:
Learning Equi-Angular Representations for Online Continual Learning. CVPR 2024: 23933-23942 - [c13]Jeongmin Hong, Sungjun Cho, Geonwoo Park, Wonhyuk Yang, Young-Ho Gong, Gwangsun Kim:
Bandwidth-Effective DRAM Cache for GPU s with Storage-Class Memory. HPCA 2024: 139-155 - [c12]Shinnung Jeong, Sungjun Cho, Yongwoo Lee, Hyunjun Park, Seonyeong Heo, Gwangsun Kim, Youngsok Kim, Hanjun Kim:
CR2: Community-aware Compressed Regular Representation for Graph Processing on a GPU. ICPP 2024: 544-554 - 2023
- [c11]Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee:
Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters. AAAI 2023: 8334-8342 - [c10]Yongwon Shin, Juseong Park, Sungjun Cho, Hyojin Sung:
PIMFlow: Compiler and Runtime Support for CNN Models on Processing-in-Memory DRAM. CGO 2023: 249-262 - [c9]Sungmin Cha, Sungjun Cho, Dasol Hwang, Sunwon Hong, Moontae Lee, Taesup Moon:
Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning. CVPR 2023: 20127-20136 - [c8]HyunJae Lee, Gihyeon Lee, Junhwan Kim, Sungjun Cho, Dohyun Kim, Donggeun Yoo:
Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning. WACV 2023: 2308-2317 - 2022
- [c7]Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong:
Equivariant Hypergraph Neural Networks. ECCV (21) 2022: 86-103 - [c6]Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong:
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost. NeurIPS 2022 - [c5]Jinwoo Kim, Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong:
Pure Transformers are Powerful Graph Learners. NeurIPS 2022 - 2021
- [c4]Changsu Kim, Shinnung Jeong, Sungjun Cho, Yongwoo Lee, William Song, Youngsok Kim, Hanjun Kim:
Thread-Aware Area-Efficient High-Level Synthesis Compiler for Embedded Devices. CGO 2021: 327-339 - [c3]Moontae Lee, Sungjun Cho, Kun Dong, David Mimno, David Bindel:
On-the-fly Rectification for Robust Large-Vocabulary Topic Inference. ICML 2021: 6087-6097 - 2020
- [c2]Seonyeong Heo, Sungjun Cho, Youngsok Kim, Hanjun Kim:
Real-Time Object Detection System with Multi-Path Neural Networks. RTAS 2020: 174-187 - 2019
- [c1]Moontae Lee, Sungjun Cho, David Bindel, David Mimno:
Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm. EMNLP/IJCNLP (1) 2019: 4990-5000
Informal and Other Publications
- 2024
- [i16]Jeongmin Hong, Sungjun Cho, Geonwoo Park, Wonhyuk Yang, Young-Ho Gong, Gwangsun Kim:
Bandwidth-Effective DRAM Cache for GPUs with Storage-Class Memory. CoRR abs/2403.09358 (2024) - [i15]Minhyuk Seo, Hyunseo Koh, Wonje Jeung, Minjae Lee, San Kim, Hankook Lee, Sungjun Cho, Sungik Choi, Hyunwoo Kim, Jonghyun Choi:
Learning Equi-angular Representations for Online Continual Learning. CoRR abs/2404.01628 (2024) - [i14]Ryan Wong, Arjun Tyagi, Sungjun Cho, Pratik Sampat, Yiqiu Sun:
Block-SSD: A New Block-Based Blocking SSD Architecture. CoRR abs/2404.07228 (2024) - [i13]Sungjun Cho, Beomjun Kim, Hyunuk Cho, Gyeongseob Seo, Onur Mutlu, Myungsuk Kim, Jisung Park:
AERO: Adaptive Erase Operation for Improving Lifetime and Performance of Modern NAND Flash-Based SSDs. CoRR abs/2404.10355 (2024) - [i12]Seungyeon Rhyu, Kichang Yang, Sungjun Cho, Jaehyeon Kim, Kyogu Lee, Moontae Lee:
Practical and Reproducible Symbolic Music Generation by Large Language Models with Structural Embeddings. CoRR abs/2407.19900 (2024) - [i11]Sungmin Cha, Sungjun Cho, Dasol Hwang, Moontae Lee:
Towards Robust and Cost-Efficient Knowledge Unlearning for Large Language Models. CoRR abs/2408.06621 (2024) - [i10]Jaehoon Lee, Hankook Lee, Sungik Choi, Sungjun Cho, Moontae Lee:
Partial-Multivariate Model for Forecasting. CoRR abs/2408.09703 (2024) - 2023
- [i9]Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee:
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers. CoRR abs/2301.11578 (2023) - [i8]Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee:
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation. CoRR abs/2309.04062 (2023) - [i7]Sungjun Cho, Seunghyuk Cho, Sungwoo Park, Hankook Lee, Honglak Lee, Moontae Lee:
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning. CoRR abs/2309.04082 (2023) - 2022
- [i6]Jinwoo Kim, Tien Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong:
Pure Transformers are Powerful Graph Learners. CoRR abs/2207.02505 (2022) - [i5]Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong:
Equivariant Hypergraph Neural Networks. CoRR abs/2208.10428 (2022) - [i4]Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee:
Grouping-matrix based Graph Pooling with Adaptive Number of Clusters. CoRR abs/2209.02939 (2022) - [i3]HyunJae Lee, Gihyeon Lee, Junhwan Kim, Sungjun Cho, Dohyun Kim, Donggeun Yoo:
Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning. CoRR abs/2209.12499 (2022) - [i2]Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong:
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost. CoRR abs/2210.15541 (2022) - 2021
- [i1]Moontae Lee, Sungjun Cho, Kun Dong, David Mimno, David Bindel:
On-the-Fly Rectification for Robust Large-Vocabulary Topic Inference. CoRR abs/2111.06580 (2021)
Coauthor Index
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