| 2024 | EACL | Unsupervised Multilingual Dense Retrieval via Generative Pseudo Labeling. | Chao-Wei Huang, Chen-An Li, Tsu-Yuan Hsu, Chen-Yu Hsu, Yun-Nung Chen |
| 2023 | SIGdial | CONVERSER: Few-shot Conversational Dense Retrieval with Synthetic Data Generation. | Chao-Wei Huang, Chen-Yu Hsu, Tsu-Yuan Hsu, Chen-An Li, Yun-Nung Chen |
| 2020 | ICLR | Self-Supervised Learning of Appliance Usage. | Chen-Yu Hsu, Abbas Zeitoun, Guang-He Lee, Dina Katabi, Tommi S. Jaakkola |
| 2019 | CHI | Enabling Identification and Behavioral Sensing in Homes using Radio Reflections. | Chen-Yu Hsu, Rumen Hristov, Guang-He Lee, Mingmin Zhao, Dina Katabi |
| 2019 | ICLR | Learning-Based Frequency Estimation Algorithms. | Chen-Yu Hsu, Piotr Indyk, Dina Katabi, Ali Vakilian |
| 2017 | CHI | Extracting Gait Velocity and Stride Length from Surrounding Radio Signals. | Chen-Yu Hsu, Yuchen Liu, Zachary Kabelac, Rumen Hristov, Dina Katabi, Christine Liu |
| 2014 | ICASSP | Analysis of the effect of calibration error on light field super-resolution rendering. | Kuang-Tsu Shih, Chen-Yu Hsu, Cheng-Chieh Yang, Homer H. Chen |
| 2013 | IWCMC | An adaptive multichannel protocol for large-scale machine-to-machine (M2M) networks. | Chen-Yu Hsu, Chi-Hsien Yen, Chun-Ting Chou |