Hong-Min Chu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
6
Active years
2016–2024
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICLR | Universal Guidance for Diffusion Models. | Arpit Bansal, Hong-Min Chu, Avi Schwarzschild, Soumyadip Sengupta, Micah Goldblum, Jonas Geiping, Tom Goldstein |
| 2024 | ICLR | 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, Tom Goldstein |
| 2023 | CVPR | Universal Guidance for Diffusion Models. | Arpit Bansal, Hong-Min Chu, Avi Schwarzschild, Soumyadip Sengupta, Micah Goldblum, Jonas Geiping, Tom Goldstein |
| 2023 | ICLR | 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 |
| 2021 | ICLR | WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic. | Renkun Ni, Hong-Min Chu, Oscar Castaeda, Ping-yeh Chiang, Christoph Studer, Tom Goldstein |
| 2019 | ACML | Deep Learning with a Rethinking Structure for Multi-label Classification. | Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu, Hsuan-Tien Lin |
| 2018 | AAAI | Scheduling in Visual Fog Computing: NP-Completeness and Practical Efficient Solutions. | Hong-Min Chu, Shao-Wen Yang, Padmanabhan Pillai, Yen-Kuang Chen |
| 2018 | ECCV | Deep Generative Models for Weakly-Supervised Multi-Label Classification. | Hong-Min Chu, Chih-Kuan Yeh, Yu-Chiang Frank Wang |
| 2018 | ICDM | Robust Distributed Anomaly Detection Using Optimal Weighted One-Class Random Forests. | Yu-Lin Tsou, Hong-Min Chu, Cong Li, Shao-Wen Yang |
| 2016 | ICDM | Can Active Learning Experience Be Transferred? | Hong-Min Chu, Hsuan-Tien Lin |