Cho, Sungjun

14 publications

AAAI 2025 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

ICLR 2025 Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs Sungmin Cha, Sungjun Cho, Dasol Hwang, Moontae Lee

CVPR 2024 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

AAAI 2024 Learning to Unlearn: Instance-Wise Unlearning for Pre-Trained Classifiers Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee

CVPRW 2024 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

NeurIPSW 2024 Towards Robust and Cost-Efficient Knowledge Unlearning for Large Language Models Sungmin Cha, Sungjun Cho, Dasol Hwang, Moontae Lee

AAAI 2023 Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee

WACV 2023 Improving Multi-Fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning HyunJae Lee, Gihyeon Lee, Junhwan Kim, Sungjun Cho, Dohyun Kim, Donggeun Yoo

ICMLW 2023 Mixed-Curvature Transformers for Graph Representation Learning Sungjun Cho, Seunghyuk Cho, Sungwoo Park, Hankook Lee, Honglak Lee, Moontae Lee

CVPR 2023 Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning Sungmin Cha, Sungjun Cho, Dasol Hwang, Sunwon Hong, Moontae Lee, Taesup Moon

ECCV 2022 Equivariant Hypergraph Neural Networks Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong

NeurIPS 2022 Pure Transformers Are Powerful Graph Learners Jinwoo Kim, Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong

NeurIPS 2022 Transformers Meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong

ICML 2021 On-the-Fly Rectification for Robust Large-Vocabulary Topic Inference Moontae Lee, Sungjun Cho, Kun Dong, David Mimno, David Bindel