Yunhui Guo
Yunhui Guo
Postdoc, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
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
1392019
A survey on methods and theories of quantized neural networks
Y Guo
arXiv preprint arXiv:1808.04752, 2018
1162018
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
61*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
372019
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
152019
Improved schemes for episodic memory-based lifelong learning
Y Guo, M Liu, T Yang, T Rosing
arXiv preprint arXiv:1909.11763, 2019
12*2019
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
92015
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
82020
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
72016
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
52017
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
52015
A survey on methods and theories of quantized neural networks (2018)
Y Guo
URL http://arxiv. org/abs, 2018
4*2018
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
42016
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
12016
Free Hyperbolic Neural Networks with Limited Radii
Y Guo, X Wang, Y Chen, SX Yu
arXiv preprint arXiv:2107.11472, 2021
2021
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
2021
Efficient Distributed Training in Heterogeneous Mobile Networks with Active Sampling
Y Guo, X Yu, K Chaudhuri, T Rosing
2020 16th International Conference on Mobility, Sensing and Networking (MSN …, 2020
2020
Efficient Sparse Processing in Smart Home Applications
R Chandrasekaran, Y Guo, A Thomas, M Menarini, MH Ostertag, Y Kim, ...
Proceedings of the 1st Workshop on Machine Learning on Edge in Sensor …, 2019
2019
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
2017
Daily Computer Vision Papers
C Xie, M Tan, B Gong, J Wang, A Yuille, QV Le, Y Guo, Y Li, L Wang, ...
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