Hong-Min Chu
Hong-Min Chu
Department of Computer Science, University of Maryland
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Cited by
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Cold diffusion: Inverting arbitrary image transforms without noise
A Bansal, E Borgnia, HM Chu, J Li, H Kazemi, F Huang, M Goldblum, ...
Advances in Neural Information Processing Systems 36, 2024
Universal guidance for diffusion models
A Bansal, HM Chu, A Schwarzschild, S Sengupta, M Goldblum, J Geiping, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Unsupervised machine learning ensemble for anomaly detection
HM Chu, YL Tsou, SW Yang
US Patent App. 15/283,308, 2018
Deep generative models for weakly-supervised multi-label classification
HM Chu, CK Yeh, YCF Wang
Proceedings of the European Conference on Computer Vision (ECCV), 400-415, 2018
Can active learning experience be transferred?
HM Chu, HT Lin
2016 IEEE 16th international conference on data mining (ICDM), 841-846, 2016
Deep learning with a rethinking structure for multi-label classification
YY Yang, YA Lin, HM Chu, HT Lin
Asian Conference on Machine Learning, 125-140, 2019
Entropy-based weighting in random forest models
YL Tsou, SW Yang, HM Chu
US Patent 11,315,045, 2022
Active learning at the imagenet scale
ZAS Emam, HM Chu, PY Chiang, W Czaja, R Leapman, M Goldblum, ...
arXiv preprint arXiv:2111.12880, 2021
Wrapnet: Neural net inference with ultra-low-resolution arithmetic
R Ni, H Chu, O Castaņeda, P Chiang, C Studer, T Goldstein
arXiv preprint arXiv:2007.13242, 2020
Neftune: Noisy embeddings improve instruction finetuning
N Jain, P Chiang, Y Wen, J Kirchenbauer, HM Chu, G Somepalli, ...
arXiv preprint arXiv:2310.05914, 2023
Robust distributed anomaly detection using optimal weighted one-class random forests
YL Tsou, HM Chu, C Li, SW Yang
2018 IEEE International Conference on Data Mining (ICDM), 1272-1277, 2018
Scheduling in visual fog computing: NP-completeness and practical efficient solutions
HM Chu, SW Yang, P Pillai, YK Chen
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Distributed assignment of video analytics tasks in cloud computing environments to reduce bandwidth utilization
HM Chu, SW Yang, YK Chen
US Patent 10,567,248, 2020
A patient‐oriented, general‐practitioner‐level, deep‐learning‐based cutaneous pigmented lesion risk classifier on a smartphone
YPH Chin, ZY Hou, MY Lee, HM Chu, HH Wang, YT Lin, A Gittin, ...
British Journal of Dermatology 182 (6), 1498-1500, 2020
Dynamic principal projection for cost-sensitive online multi-label classification
HM Chu, KH Huang, HT Lin
Machine Learning 108, 1193-1230, 2019
Avi Schwarzschild, Aniruddha Saha, et al. Neftune: Noisy embeddings improve instruction finetuning
N Jain, P Chiang, Y Wen, J Kirchenbauer, HM Chu, G Somepalli, ...
arXiv preprint arXiv:2310.05914 2 (3), 2023
Panning for gold in federated learning: Targeted text extraction under arbitrarily large-scale aggregation
HM Chu, J Geiping, LH Fowl, M Goldblum, T Goldstein
The Eleventh International Conference on Learning Representations, 2022
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