Task-Adaptive Neural Network Search with Meta-Contrastive Learning. - Wonyong Jeong; Hayeon Lee; Geon Park; Eunyoung Hyung; Jinheon Baek; Sung Ju Hwang (NeurIPS, 2021)

BiTAT: Neural Network Binarization with Task-Dependent Aggregated Transformation. - Geon Park; Jaehong Yoon; Haiyang Zhang 001; Xing Zhang 005; Sung Ju Hwang; Yonina C. Eldar (ECCV Workshops (7), 2022)

Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization. - Jaehong Yoon; Geon Park; Wonyong Jeong; Sung Ju Hwang (ICML, 2022)

HiP Attention: Sparse Sub-Quadratic Attention with Hierarchical Attention Pruning. - Heejun Lee; Geon Park; Youngwan Lee; Jina Kim; Wonyoung Jeong; Myeongjae Jeon; Sung Ju Hwang (CoRR, 2024)

VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding. - Kangsan Kim; Geon Park; Youngwan Lee; Woongyeong Yeo; Sung Ju Hwang (CVPR, 2025)

A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention. - Heejun Lee; Geon Park; Youngwan Lee; Jaduk Suh; Jina Kim; Wonyong Jeong; Bumsik Kim; Hyemin Lee; Myeongjae Jeon; Sung Ju Hwang (ICLR, 2025)

InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU. - Heejun Lee; Geon Park; Jaduk Suh; Sung Ju Hwang (CoRR, 2025)

RaDL: Relation-aware Disentangled Learning for Multi-Instance Text-to-Image Generation. - Geon Park; Seon Bin Kim; Gunho Jung; Seong-Whan Lee (CoRR, 2025)