| Spottune: transfer learning through adaptive fine-tuning Y Guo, H Shi, A Kumar, K Grauman, T Rosing, R Feris Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 715 | 2019 |
| A broader study of cross-domain few-shot learning Y Guo, NC Codella, L Karlinsky, JV Codella, JR Smith, K Saenko, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 476 | 2020 |
| A survey on methods and theories of quantized neural networks Y Guo arXiv preprint arXiv:1808.04752, 2018 | 394 | 2018 |
| Depthwise Convolution is All You Need for Learning Multiple Visual Domains Y Guo, Y Li, L Wang, T Rosing Thirty-Third AAAI Conference on Artificial Intelligence, 2019 | 253 | 2019 |
| Improved schemes for episodic memory-based lifelong learning Y Guo, M Liu, T Yang, T Rosing Advances in Neural Information Processing Systems 33, 1023-1035, 2020 | 124* | 2020 |
| Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers Y Guo, X Wang, Y Chen, SX Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 88 | 2022 |
| AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning Y Guo, Y Li, L Wang, T Rosing Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020 | 71 | 2020 |
| Unsupervised hierarchical semantic segmentation with multiview cosegmentation and clustering transformers TW Ke, JJ Hwang, Y Guo, X Wang, SX Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 70 | 2022 |
| Audio-visual class-incremental learning W Pian, S Mo, Y Guo, Y Tian Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 57 | 2023 |
| A new benchmark for evaluation of cross-domain few-shot learning Y Guo, NCF Codella, L Karlinsky, JR Smith, T Rosing, R Feris arXiv preprint arXiv:1912.07200, 2019 | 56 | 2019 |
| Co-sne: Dimensionality reduction and visualization for hyperbolic data Y Guo, H Guo, SX Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 44 | 2022 |
| Hierarchical and distributed machine learning inference beyond the edge A Thomas, Y Guo, Y Kim, B Aksanli, A Kumar, TS Rosing 2019 IEEE 16th International Conference on Networking, Sensing and Control …, 2019 | 42 | 2019 |
| Hyperrec: Efficient recommender systems with hyperdimensional computing Y Guo, M Imani, J Kang, S Salamat, J Morris, B Aksanli, Y Kim, T Rosing Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021 | 34 | 2021 |
| Adaln: a vision transformer for multidomain learning and predisaster building information extraction from images Y Guo, C Wang, SX Yu, F McKenna, KH Law Journal of Computing in Civil Engineering 36 (5), 04022024, 2022 | 33 | 2022 |
| Scale: Online self-supervised lifelong learning without prior knowledge X Yu, Y Guo, S Gao, T Rosing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 26 | 2023 |
| Segment every out-of-distribution object W Zhao, J Li, X Dong, Y Xiang, Y Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 24 | 2024 |
| Veatic: Video-based emotion and affect tracking in context dataset Z Ren, J Ortega, Y Wang, Z Chen, Y Guo, SX Yu, D Whitney Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 21 | 2024 |
| Improve image-based skin cancer diagnosis with generative self-supervised learning Z Ren, Y Guo, XY Stella, D Whitney 2021 IEEE/ACM Conference on Connected Health: Applications, Systems and …, 2021 | 20 | 2021 |
| Circuits, methods, and articles of manufacture for hyper-dimensional computing systems and related applications TS Rosing, J Morris, M Imani, Y Kim, J Messerly, Y Guo, B Khaleghi, ... US Patent App. 17/376,105, 2022 | 16 | 2022 |
| Recommendation Algorithms for Optimizing Hit Rate, User Satisfaction and Website Revenue. X Wang, Y Guo, C Xu Proceedings of the Twenty-Fourth International Joint Conference on …, 2015 | 16 | 2015 |
Tajana RosingDistinguished Professor, UCSDVerified email at ucsd.edu
