PolyMerge: Compressing 3D Gaussian Splats with Polytope Coverings for Provably Safe Resource-Constrained Navigation
[paper]
Published in IEEE Robotics and Automation Letters (RA-L), 2026
Authors: Jihoon Hong, C. Chiu, Sara Fridovich-Keil, Glen Chou
Publications
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* denotes equal contribution.
Journal Articles
Conference Papers
KLIP: Localized Distribution Shift Detection via KL-Divergence with Diffusion Priors in Inverse Problems
[paper]
Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
Authors: A. Kheirandish*, Jihoon Hong*, Sara Fridovich-Keil
LAMB: A Training-Free Method to Enhance the Long-Context Understanding of SSMs via Attention-Guided Token Filtering
[paper]
Published in Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Authors: Zhifan Ye, Zheng Wang, Kejing Xia, Jihoon Hong, Leshu Li, Lexington Whalen, Cheng Wan, Yonggan Fu, Yingyan (Celine) Lin, Souvik Kundu
LongMamba: Enhancing Mamba’s Long-Context Capabilities via Training-Free Receptive Field Enlargement
[paper]
Published in International Conference on Learning Representations (ICLR), 2025
Authors: Zhifan Ye, Kejing Xia, Yonggan Fu, Xin Dong, Jihoon Hong, Xiangchi Yuan, Shizhe Diao, Jan Kautz, Pavlo Molchanov, Yingyan (Celine) Lin
3D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning
[paper]
Published in Conference on Neural Information Processing Systems (NeurIPS), 2024
Authors: Zhifan Ye, Chenxi Wan, Chaojian Li, Jihoon Hong, Sixu Li, Leshu Li, Yongan Zhang, Yingyan (Celine) Lin
VGA: Hardware Accelerator for Scalable Long Sequence Model Inference
[paper]
Published in IEEE/ACM International Symposium on Microarchitecture (MICRO), 2024
Authors: Seung Yul Lee, Hyunseung Lee, Jihoon Hong, SangLyul Cho, Jae W. Lee
A Memory-Efficient Edge Inference Accelerator with XOR-based Model Compression
[paper]
Published in Design Automation Conference (DAC), 2023
Authors: H. Lee, J. Hong, S. Kim, S. Y. Lee and J. W. Lee
Under Review
Steering Robustness into World Action Models via Mechanistic Interpretability and Optimal Control
[paper]
Submitted to Conference on Robot Learning (CoRL), 2026
Authors: Jihoon Hong, J. Skifstad, Q. Dai, A. Chan, Glen Chou
Activation Steering of Video Generation Models via Reduced-Order Linear Optimal Control
[paper]
Submitted to Conference on Neural Information Processing Systems (NeurIPS), 2026
Authors: Jihoon Hong, A. Chan, Q. Dai, J. Skifstad, Glen Chou
LACToS: Local Anomaly Detection via Conditional Typicality of Superpixels
[paper]
Submitted to Conference on Neural Information Processing Systems (NeurIPS), 2026
Authors: Jihoon Hong*, A. Kheirandish*, Sara Fridovich-Keil