Sungjun Cho
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
13
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | 3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation. | Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee |
| 2025 | ICLR | Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs. | Sungmin Cha, Sungjun Cho, Dasol Hwang, Moontae Lee |
| 2024 | AAAI | Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers. | Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee |
| 2024 | ASPLOS | AERO: Adaptive Erase Operation for Improving Lifetime and Performance of Modern NAND Flash-Based SSDs. | Sungjun Cho, Beomjun Kim, Hyunuk Cho, Gyeongseob Seo, Onur Mutlu, Myungsuk Kim, Jisung Park |
| 2024 | CVPR | Show, Think, and Tell: Thought-Augmented Fine-Tuning of Large Language Models for Video Captioning. | Byoungjip Kim, Dasol Hwang, Sungjun Cho, Youngsoo Jang, Honglak Lee, Moontae Lee |
| 2024 | CVPR | Learning Equi-Angular Representations for Online Continual Learning. | Minhyuk Seo, Hyunseo Koh, Wonje Jeung, Minjae Lee, San Kim, Hankook Lee, Sungjun Cho, Sungik Choi, Hyunwoo Kim, Jonghyun Choi |
| 2024 | HPCA | Bandwidth-Effective DRAM Cache for GPU s with Storage-Class Memory. | Jeongmin Hong, Sungjun Cho, Geonwoo Park, Wonhyuk Yang, Young-Ho Gong, Gwangsun Kim |
| 2024 | ICCAD | NORNS: Three Guides for Efficient Automatic Post-Fabrication Optimization of Modern NAND Flash Memory. | Earl Kim, Hyunuk Cho, Sungjun Cho, Myungsuk Kim, Jisung Park, Jaeyong Jeong, Eunkyoung Kim, Sunghoi Hur |
| 2024 | ICPP | CR2: Community-aware Compressed Regular Representation for Graph Processing on a GPU. | Shinnung Jeong, Sungjun Cho, Yongwoo Lee, Hyunjun Park, Seonyeong Heo, Gwangsun Kim, Youngsok Kim, Hanjun Kim |
| 2023 | AAAI | Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters. | Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee |
| 2023 | CGO | PIMFlow: Compiler and Runtime Support for CNN Models on Processing-in-Memory DRAM. | Yongwon Shin, Juseong Park, Sungjun Cho, Hyojin Sung |
| 2023 | CVPR | Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning. | Sungmin Cha, Sungjun Cho, Dasol Hwang, Sunwon Hong, Moontae Lee, Taesup Moon |
| 2023 | WACV | Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning. | HyunJae Lee, Gihyeon Lee, Junhwan Kim, Sungjun Cho, Dohyun Kim, Donggeun Yoo |
| 2022 | ECCV | Equivariant Hypergraph Neural Networks. | Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong |
| 2021 | CGO | Thread-Aware Area-Efficient High-Level Synthesis Compiler for Embedded Devices. | Changsu Kim, Shinnung Jeong, Sungjun Cho, Yongwoo Lee, William Song, Youngsok Kim, Hanjun Kim |
| 2021 | ICML | On-the-fly Rectification for Robust Large-Vocabulary Topic Inference. | Moontae Lee, Sungjun Cho, Kun Dong, David Mimno, David Bindel |
| 2020 | RTAS | Real-Time Object Detection System with Multi-Path Neural Networks. | Seonyeong Heo, Sungjun Cho, Youngsok Kim, Hanjun Kim |
| 2019 | EMNLP | Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm. | Moontae Lee, Sungjun Cho, David Bindel, David Mimno |