Sungjun Cho

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 30

Top Topics

Graph Representation

Memory Capacity

Top Venues

Publications

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)
Jeongmin Hong, Sungjun Cho, Geonwoo Park, Wonhyuk Yang, Young-Ho Gong, Gwangsun Kim
Bandwidth-Effective DRAM Cache for GPUs with Storage-Class Memory. CoRR (2024)
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)
Ryan Wong, Arjun Tyagi, Sungjun Cho, Pratik Sampat, Yiqiu Sun
Block-SSD: A New Block-Based Blocking SSD Architecture. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee
Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers. AAAI (2024)
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)
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)
Yongwon Shin, Juseong Park, Sungjun Cho, Hyojin Sung
PIMFlow: Compiler and Runtime Support for CNN Models on Processing-in-Memory DRAM. CGO (2023)
Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers. CoRR (2023)
Sungjun Cho, Seunghyuk Cho, Sungwoo Park, Hankook Lee, Honglak Lee, Moontae Lee
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning. CoRR (2023)
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)
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 (2023)
Sungmin Cha, Sungjun Cho, Dasol Hwang, Sunwon Hong, Moontae Lee, Taesup Moon
Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning. CVPR (2023)
Jeongmin Hong, Sungjun Cho, Gwangsun Kim
Overcoming Memory Capacity Wall of GPUs With Heterogeneous Memory Stack. IEEE Comput. Archit. Lett. 21 (2) (2022)
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 (2022)
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)
Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong
Equivariant Hypergraph Neural Networks. ECCV (21) (2022)
Jinwoo Kim, Tien Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong
Pure Transformers are Powerful Graph Learners. CoRR (2022)
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 (2022)
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 (2022)
Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong
Equivariant Hypergraph Neural Networks. CoRR (2022)
Jinwoo Kim, Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong
Pure Transformers are Powerful Graph Learners. NeurIPS (2022)
Moontae Lee, Sungjun Cho, Kun Dong, David Mimno, David Bindel
On-the-Fly Rectification for Robust Large-Vocabulary Topic Inference. CoRR (2021)
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)
Moontae Lee, Sungjun Cho, Kun Dong, David Mimno, David Bindel
On-the-fly Rectification for Robust Large-Vocabulary Topic Inference. ICML (2021)
Seonyeong Heo, Sungjun Cho, Youngsok Kim, Hanjun Kim
Real-Time Object Detection System with Multi-Path Neural Networks. RTAS (2020)
Moontae Lee, Sungjun Cho, David Bindel, David Mimno
Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm. EMNLP/IJCNLP (1) (2019)