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2020 – today
- 2023
[i11]Yangxiao Lu, Ninad Khargonkar
, Zesheng Xu, Charles Averill, Kamalesh Palanisamy, Kaiyu Hang, Yunhui Guo, Nicholas Ruozzi, Yu Xiang:
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction. CoRR abs/2302.03793 (2023)- 2022
- [j2]Lihua Pang, Minglei Wang, Yang Zhang, Yunhui Guo, Yijian Chen, Anyi Wang:
Capacity Analysis and Optimal Spacing Design for Compact Array Massive MIMO Systems With Finite Aperture. IEEE Commun. Lett. 26(10): 2282-2286 (2022) - [j1]Yang Zhang, Jie Tang, Lihua Pang, Yunhui Guo, Yijian Chen, Jiandong Li:
Energy Efficiency Optimization for Compact Massive MIMO Wireless Systems. IEEE Trans. Veh. Technol. 71(3): 3303-3308 (2022) - [c21]Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu:
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers. CVPR 2022: 1-10 - [c20]Yunhui Guo, Haoran Guo, Stella X. Yu:
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data. CVPR 2022: 11-20 - [c19]Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu:
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. CVPR 2022: 2561-2571 - [i10]Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu:
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. CoRR abs/2204.11432 (2022) - [i9]Xiaofan Yu, Yunhui Guo, Sicun Gao, Tajana Rosing:
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge. CoRR abs/2208.11266 (2022) - 2021
- [c18]Yunhui Guo, Mohsen Imani, Jaeyoung Kang, Sahand Salamat, Justin Morris, Baris Aksanli, Yeseong Kim, Tajana Rosing:
HyperRec: Efficient Recommender Systems with Hyperdimensional Computing. ASP-DAC 2021: 384-389 - [c17]Zhihang Ren, Yunhui Guo, Stella X. Yu, David Whitney:
Improve Image-based Skin Cancer Diagnosis with Generative Self-Supervised Learning. CHASE 2021: 23-34 - [c16]Minxuan Zhou, Yunhui Guo, Weihong Xu, Bin Li, Kevin W. Eliceiri, Tajana Rosing:
MAT: Processing In-Memory Acceleration for Long-Sequence Attention. DAC 2021: 25-30 - [i8]Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu:
Free Hyperbolic Neural Networks with Limited Radii. CoRR abs/2107.11472 (2021) - [i7]Yunhui Guo, Haoran Guo, Stella X. Yu:
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data. CoRR abs/2111.15037 (2021) - 2020
- [b1]Yunhui Guo:
Efficient Learning across Multiple Domains with Deep Neural Networks. University of California, San Diego, USA, 2020 - [c15]Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing:
AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning. AAAI 2020: 4060-4066 - [c14]Yunhui Guo, Noel Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogério Feris:
A Broader Study of Cross-Domain Few-Shot Learning. ECCV (27) 2020: 124-141 - [c13]Yunhui Guo, Xiaofan Yu, Kamalika Chaudhuri, Tajana Rosing:
Efficient Distributed Training in Heterogeneous Mobile Networks with Active Sampling. MSN 2020: 174-181 - [c12]Yunhui Guo, Mingrui Liu, Tianbao Yang, Tajana Rosing:
Improved Schemes for Episodic Memory-based Lifelong Learning. NeurIPS 2020
2010 – 2019
- 2019
- [c11]Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing:
Depthwise Convolution Is All You Need for Learning Multiple Visual Domains. AAAI 2019: 8368-8375 - [c10]Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris:
SpotTune: Transfer Learning Through Adaptive Fine-Tuning. CVPR 2019: 4805-4814 - [c9]Anthony Thomas, Yunhui Guo, Yeseong Kim, Baris Aksanli, Arun Kumar, Tajana Simunic Rosing:
Hierarchical and Distributed Machine Learning Inference Beyond the Edge. ICNSC 2019: 18-23 - [c8]Rishikanth Chandrasekaran, Yunhui Guo, Anthony Thomas, Massimiliano Menarini, Michael H. Ostertag, Yeseong Kim, Tajana Rosing:
Efficient Sparse Processing in Smart Home Applications. SenSys-ML 2019: 19-24 - [i6]Yunhui Guo, Yandong Li, Rogério Schmidt Feris, Liqiang Wang, Tajana Rosing:
Depthwise Convolution is All You Need for Learning Multiple Visual Domains. CoRR abs/1902.00927 (2019) - [i5]Yunhui Guo, Mingrui Liu, Tianbao Yang, Tajana Rosing:
Learning with Long-term Remembering: Following the Lead of Mixed Stochastic Gradient. CoRR abs/1909.11763 (2019) - [i4]Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing:
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning. CoRR abs/1911.09659 (2019) - [i3]Yunhui Guo, Noel C. F. Codella, Leonid Karlinsky, John R. Smith, Tajana Rosing, Rogério Schmidt Feris:
A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning. CoRR abs/1912.07200 (2019) - 2018
- [i2]Yunhui Guo:
A Survey on Methods and Theories of Quantized Neural Networks. CoRR abs/1808.04752 (2018) - [i1]Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris:
SpotTune: Transfer Learning through Adaptive Fine-tuning. CoRR abs/1811.08737 (2018) - 2017
- [c7]Hanzhang Song, Yunhui Guo, Congfu Xu:
Incorporating Collaborative Ranking Algorithm with Weighted Recursive Autoencoder for Item Recommendation. AAAI Workshops 2017 - [c6]Yunhui Guo, Congfu Xu, Hanzhang Song, Xin Wang:
Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization. IJCAI 2017: 1781-1787 - 2016
- [c5]Xin Wang, Congfu Xu, Yunhui Guo, Hui Qian:
Constrained Preference Embedding for Item Recommendation. IJCAI 2016: 2139-2145 - [c4]Yunhui Guo, Xin Wang, Congfu Xu:
LBMF: Log-Bilinear Matrix Factorization for Recommender Systems. PAKDD (1) 2016: 502-513 - [c3]Congfu Xu, Xin Wang, Yunhui Guo:
Collaborative Expert Recommendation for Community-Based Question Answering. ECML/PKDD (1) 2016: 378-393 - 2015
- [c2]Yunhui Guo, Xin Wang, Congfu Xu:
CroRank: Cross Domain Personalized Transfer Ranking for Collaborative Filtering. ICDM Workshops 2015: 1204-1212 - [c1]Xin Wang, Yunhui Guo, Congfu Xu:
Recommendation Algorithms for Optimizing Hit Rate, User Satisfaction and Website Revenue. IJCAI 2015: 1820-1826
Coauthor Index
aka: Tajana Simunic Rosing
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last updated on 2023-03-25 00:59 CET by the dblp team
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