| 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 | 314 | 2019 |
| A survey on methods and theories of quantized neural networks Y Guo arXiv preprint arXiv:1808.04752, 2018 | 224 | 2018 |
| A Broader Study of Cross-Domain Few-Shot Learning Y Guo, NC Codella, L Karlinsky, JV Codella, JR Smith, K Saenko, ... 16th European Conference on Computer Vision, 2020 | 213* | 2020 |
| Depthwise Convolution is All You Need for Learning Multiple Visual Domains Y Guo, Y Li, R Feris, L Wang, T Rosing Thirty-Third AAAI Conference on Artificial Intelligence, 2019 | 86 | 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 | 45* | 2020 |
| 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 | 33 | 2019 |
| 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 | 23 | 2020 |
| 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 | 11 | 2021 |
| CroRank: Cross Domain Personalized Transfer Ranking for Collaborative Filtering Y Guo, X Wang, C Xu Data Mining Workshop (ICDMW), 2015 IEEE International Conference on Data …, 2015 | 10 | 2015 |
| 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 | 10 | 2015 |
| 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 | 8* | 2022 |
| 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 | 7 | 2022 |
| Collaborative expert recommendation for community-based question answering C Xu, X Wang, Y Guo Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016 | 7 | 2016 |
| Understanding Users’ Budgets for Recommendation with Hierarchical Poisson Factorization Y Guo, C Xu, H Song, X Wang Proceedings of the Twenty-Sixth International Joint Conference on Artificial …, 2017 | 6 | 2017 |
| Constrained Preference Embedding for Item Recommendation X Wang, C Xu, Y Guo, H Qian Proceedings of the Twenty-Fifth International Joint Conference on Artificial …, 2016 | 5 | 2016 |
| A survey on methods and theories of quantized neural networks (2018) Y Guo URL http://arxiv. org/abs, 2018 | 4* | 2018 |
| 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 | 2 | 2022 |
| 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 | 2 | 2022 |
| Mat: Processing in-memory acceleration for long-sequence attention M Zhou, Y Guo, W Xu, B Li, KW Eliceiri, T Rosing 2021 58th ACM/IEEE Design Automation Conference (DAC), 25-30, 2021 | 2 | 2021 |
| Incorporating Collaborative Ranking Algorithm with Weighted Recursive Autoencoder for Item Recommendation H Song, Y Guo, C Xu Workshops at the Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 1 | 2017 |
Tajana Simunic RosingUCSDVerified email at eng.ucsd.edu
