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2020 – today
- 2024
[c33]Ruiyu Mao, Ouyang Xu, Yunhui Guo:
Inconsistency-Based Data-Centric Active Open-Set Annotation. AAAI 2024: 4180-4188- [c32]Yunhui Guo:
Continual Learning in an Open and Dynamic World. AAAI 2024: 22666 - [c31]Wenjie Zhao, Jia Li, Xin Dong, Yu Xiang, Yunhui Guo:
Segment Every Out-of-Distribution Object. CVPR 2024: 3910-3920 - [c30]Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu:
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. CVPR 2024: 23199-23208 - [c29]Zhihang Ren, Yunqi Li, Xinyu Li, Xinrong Xie, Erik P. Duhaime, Kathy Fang, Tapabrata Chakraborti, Yunhui Guo, Stella X. Yu, David Whitney:
SkinCON: Towards Consensus for the Uncertainty of Skin Cancer Sub-typing Through Distribution Regularized Adaptive Predictive Sets (DRAPS). MICCAI (1) 2024: 405-415 - [c28]Xiaofan Yu, Tajana Rosing, Yunhui Guo:
Evolve: Enhancing Unsupervised Continual Learning with Multiple Experts. WACV 2024: 2355-2366 - [c27]Zhihang Ren, Jefferson Ortega, Yifan Wang, Zhimin Chen, Yunhui Guo, Stella X. Yu, David Whitney:
VEATIC: Video-based Emotion and Affect Tracking in Context Dataset. WACV 2024: 4455-4465 - [i24]Ruiyu Mao, Ouyang Xu, Yunhui Guo:
Inconsistency-Based Data-Centric Active Open-Set Annotation. CoRR abs/2401.04923 (2024) - [i23]Sarthak Kumar Maharana, Baoming Zhang, Yunhui Guo:
PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation. CoRR abs/2403.10650 (2024) - [i22]Yuxuan Li, Sarthak Kumar Maharana, Yunhui Guo:
Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-View Data. CoRR abs/2403.10663 (2024) - [i21]Yunhui Guo, Yang Zhang, Zhaolin Wang, Yuanwei Liu:
Wideband Beamforming for Near-Field Communications with Circular Arrays. CoRR abs/2404.02811 (2024) - [i20]Yunhui Guo:
KITE: A Kernel-based Improved Transferability Estimation Method. CoRR abs/2405.01603 (2024) - [i19]Yangxiao Lu, Jishnu Jaykumar P, Yunhui Guo, Nicholas Ruozzi, Yu Xiang:
Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation. CoRR abs/2405.17859 (2024) - [i18]Qifan Zhang, Yunhui Guo, Yu Xiang:
Continual Distillation Learning. CoRR abs/2407.13911 (2024) - [i17]Ruiyu Mao, Sarthak Kumar Maharana, Rishabh K. Iyer, Yunhui Guo:
STONE: A Submodular Optimization Framework for Active 3D Object Detection. CoRR abs/2410.03918 (2024) - 2023
- [j5]Dong-Jin Kim
, Zhongqi Miao, Yunhui Guo, Stella X. Yu:
Modeling Semantic Correlation and Hierarchy for Real-World Wildlife Recognition. IEEE Signal Process. Lett. 30: 259-263 (2023) - [j4]Yunhui Guo, Yang Zhang, Lihua Pang, Xinyi Huang, Yuchen Wu, Yijian Chen:
Optimizing Antenna Topology for Massive MIMO Planar Arrays With Line-of-Sight Deterministic Channels. IEEE Trans. Veh. Technol. 72(9): 11871-11883 (2023) - [c26]Xiaofan Yu, Yunhui Guo, Sicun Gao, Tajana Rosing:
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge. CVPR Workshops 2023: 2484-2495 - [c25]Weiguo Pian, Shentong Mo, Yunhui Guo, Yapeng Tian:
Audio-Visual Class-Incremental Learning. ICCV 2023: 7765-7777 - [c24]Yunhui Guo, Yang Zhang, Lihua Pang, Xinyi Huang, Peng Ren, Yijian Chen:
Antenna Topology Optimization for Massive MIMO Near-Field Wireless Communications with Line-of-Sight Deterministic Channels. PIMRC 2023: 1-5 - [c23]Yangxiao Lu, Ninad A. 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. Robotics: Science and Systems 2023 - [c22]Xiangyu Zhu, Jie Hao, Yunhui Guo, Mingrui Liu:
AUC Maximization in Imbalanced Lifelong Learning. UAI 2023: 2574-2585 - [i16]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) - [i15]Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu:
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. CoRR abs/2307.01421 (2023) - [i14]Weiguo Pian, Shentong Mo, Yunhui Guo, Yapeng Tian:
Audio-Visual Class-Incremental Learning. CoRR abs/2308.11073 (2023) - [i13]Zhihang Ren, Jefferson Ortega, Yifan Wang, Zhimin Chen, Yunhui Guo, Stella X. Yu, David Whitney:
VEATIC: Video-based Emotion and Affect Tracking in Context Dataset. CoRR abs/2309.06745 (2023) - [i12]Haoliang Wang, Chen Zhao, Yunhui Guo, Kai Jiang, Feng Chen:
Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective. CoRR abs/2309.10209 (2023) - [i11]Wenjie Zhao, Jia Li, Xin Dong, Yu Xiang, Yunhui Guo:
Segment Every Out-of-Distribution Object. CoRR abs/2311.16516 (2023) - 2022
- [j3]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) - [j2]Yunhui Guo, Chaofeng Wang, Stella X. Yu, Frank McKenna, Kincho H. Law:
AdaLN: A Vision Transformer for Multidomain Learning and Predisaster Building Information Extraction from Images. J. Comput. Civ. Eng. 36(5) (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 2024-11-13 23:47 CET by the dblp team
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