Can Active Learning Experience Be Transferred? - Hong-Min Chu; Hsuan-Tien Lin (ICDM, 2016)

Scheduling in Visual Fog Computing: NP-Completeness and Practical Efficient Solutions. - Hong-Min Chu; Shao-Wen Yang; Padmanabhan Pillai; Yen-Kuang Chen (AAAI, 2018)

Deep Generative Models for Weakly-Supervised Multi-Label Classification. - Hong-Min Chu; Chih-Kuan Yeh; Yu-Chiang Frank Wang (ECCV (2), 2018)

Robust Distributed Anomaly Detection Using Optimal Weighted One-Class Random Forests. - Yu-Lin Tsou; Hong-Min Chu; Cong Li; Shao-Wen Yang (ICDM, 2018)

Deep Learning with a Rethinking Structure for Multi-label Classification. - Yao-Yuan Yang; Yi-An Lin; Hong-Min Chu; Hsuan-Tien Lin (ACML, 2019)

Dynamic principal projection for cost-sensitive online multi-label classification. - Hong-Min Chu; Kuan-Hao Huang; Hsuan-Tien Lin (Mach. Learn., 2019)

WrapNet: Neural Net Inference with Ultra-Low-Resolution Arithmetic. - Renkun Ni; Hong-Min Chu; Oscar Castañeda; Ping-yeh Chiang; Christoph Studer; Tom Goldstein (CoRR, 2020)

WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic. - Renkun Ni; Hong-Min Chu; Oscar Castañeda; Ping-yeh Chiang; Christoph Studer; Tom Goldstein (ICLR, 2021)

Active Learning at the ImageNet Scale. - Zeyad Ali Sami Emam; Hong-Min Chu; Ping-Yeh Chiang; Wojciech Czaja; Richard Leapman; Micah Goldblum; Tom Goldstein (CoRR, 2021)

Universal Guidance for Diffusion Models. - Arpit Bansal; Hong-Min Chu; Avi Schwarzschild; Soumyadip Sengupta; Micah Goldblum; Jonas Geiping; Tom Goldstein (CVPR Workshops, 2023)

Panning for Gold in Federated Learning: Targeted Text Extraction under Arbitrarily Large-Scale Aggregation. - Hong-Min Chu; Jonas Geiping; Liam H. Fowl; Micah Goldblum; Tom Goldstein (ICLR, 2023)

Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise. - Arpit Bansal; Eitan Borgnia; Hong-Min Chu; Jie Li 070; Hamid Kazemi; Furong Huang; Micah Goldblum; Jonas Geiping; Tom Goldstein (NeurIPS, 2023)

NEFTune: Noisy Embeddings Improve Instruction Finetuning. - Neel Jain; Ping-yeh Chiang; Yuxin Wen; John Kirchenbauer; Hong-Min Chu; Gowthami Somepalli; Brian R. Bartoldson; Bhavya Kailkhura; Avi Schwarzschild; Aniruddha Saha; Micah Goldblum; Jonas Geiping; et al. (ICLR, 2024)