| Serving DNNs like Clockwork: Performance Predictability from the Bottom Up A Gujarati, R Karimi, S Alzayat, W Hao, A Kaufmann, Y Vigfusson, J Mace 14th {USENIX} Symposium on Operating Systems Design and Implementation …, 2020 | 191 | 2020 |
| A highly active and durable iron/cobalt alloy catalyst encapsulated in N-doped graphitic carbon nanotubes for oxygen reduction reaction by a nanofibrous dicyandiamide template L An, N Jiang, B Li, S Hua, Y Fu, J Liu, W Hao, D Xia, Z Sun Journal of Materials Chemistry A 6 (14), 5962-5970, 2018 | 83 | 2018 |
| Multi defect detection and analysis of electron microscopy images with deep learning M Shen, G Li, D Wu, Y Liu, JRC Greaves, W Hao, NJ Krakauer, L Krudy, ... Computational Materials Science 199, 110576, 2021 | 38 | 2021 |
| Performance and limitations of deep learning semantic segmentation of multiple defects in transmission electron micrographs R Jacobs, M Shen, Y Liu, W Hao, X Li, R He, JRC Greaves, D Wang, Z Xie, ... Cell Reports Physical Science 3 (5), 2022 | 24* | 2022 |
| A Tale of Two Models: Constructing Evasive Attacks on Edge Models W Hao, A Awatramani, J Hu, C Mao, PC Chen, E Cidon, A Cidon, J Yang Proceedings of Machine Learning and Systems 4, https://proceedings.mlsys.org …, 2022 | 4 | 2022 |
| Learning Amyloid Pathology Progression from Longitudinal PIB-PET Images in Preclinical Alzheimer's Disease W Hao, NM Vogt, Z Meng, SJ Hwang, RL Koscik, SC Johnson, BB Bendlin, ... 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 572-576, 2020 | 4 | 2020 |
| Monitoring and Adapting ML Models on Mobile Devices W Hao, Z Wang, L Hong, L Li, N Karayanni, C Mao, J Yang, A Cidon arXiv preprint arXiv:2305.07772, 2023 | 1 | 2023 |
| MGit: A Model Versioning and Management System W Hao, D Mendoza, R da Silva, D Narayanan, A Phanishaye arXiv preprint arXiv:2307.07507, 2023 | | 2023 |
| Sparse Convolutions for Faster Object Recognition W Hao, S Venkataraman AI Systems Workshop at Symposium on Operating Systems Principles (SOSP) 2019, 2019 | | 2019 |
