Yunhui Guo
Yunhui Guo
Postdoc, UC Berkeley
Verified email at - Homepage
Cited by
Cited by
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
A survey on methods and theories of quantized neural networks
Y Guo
arXiv preprint arXiv:1808.04752, 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
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
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
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
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
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
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
Collaborative expert recommendation for community-based question answering
C Xu, X Wang, Y Guo
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
A survey on methods and theories of quantized neural networks (2018)
Y Guo
URL http://arxiv. org/abs, 2018
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
Hyperrec: Efficient recommender systems with hyperdimensional computing
Y Guo, M Imani, J Kang, S Salamat, J Morris, B Aksanli, Y Kim, T Rosing
2021 26th Asia and South Pacific Design Automation Conference (ASP-DAC), 384-389, 2021
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
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
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
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
Lbmf: Log-bilinear matrix factorization for recommender systems
Y Guo, X Wang, C Xu
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 502-513, 2016
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
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
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