Yunhui Guo

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 56

Top Topics

Item Recommendation

Collaborative Filtering

Lifelong Learning

Recommender Systems

Top Venues

Publications

Ruiyu Mao, Ouyang Xu, Yunhui Guo
Inconsistency-Based Data-Centric Active Open-Set Annotation. CoRR (2024)
Yuxuan Li, Sarthak Kumar Maharana, Yunhui Guo
Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-View Data. CoRR (2024)
Yunhui Guo, Yang Zhang, Zhaolin Wang, Yuanwei Liu
Wideband Beamforming for Near-Field Communications with Circular Arrays. CoRR (2024)
Xiaofan Yu, Tajana Rosing, Yunhui Guo
Evolve: Enhancing Unsupervised Continual Learning with Multiple Experts. WACV (2024)
Yunhui Guo
KITE: A Kernel-based Improved Transferability Estimation Method. CoRR (2024)
Yangxiao Lu, Jishnu Jaykumar P, Yunhui Guo, Nicholas Ruozzi, Yu Xiang
Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation. CoRR (2024)
Ruiyu Mao, Ouyang Xu, Yunhui Guo
Inconsistency-Based Data-Centric Active Open-Set Annotation. AAAI (2024)
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)
Yunhui Guo
Continual Learning in an Open and Dynamic World. AAAI (2024)
Qifan Zhang, Yunhui Guo, Yu Xiang
Continual Distillation Learning. CoRR (2024)
Sarthak Kumar Maharana, Baoming Zhang, Yunhui Guo
PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation. CoRR (2024)
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) (2023)
Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. CoRR (2023)
Weiguo Pian, Shentong Mo, Yunhui Guo, Yapeng Tian
Audio-Visual Class-Incremental Learning. ICCV (2023)
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 (2023)
Xiangyu Zhu, Jie Hao, Yunhui Guo, Mingrui Liu
AUC Maximization in Imbalanced Lifelong Learning. UAI (2023)
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)
Xiaofan Yu, Yunhui Guo, Sicun Gao, Tajana Rosing
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge. CVPR Workshops (2023)
Wenjie Zhao, Jia Li, Xin Dong, Yu Xiang, Yunhui Guo
Segment Every Out-of-Distribution Object. CoRR (2023)
Haoliang Wang, Chen Zhao, Yunhui Guo, Kai Jiang, Feng Chen
Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective. CoRR (2023)
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)
Weiguo Pian, Shentong Mo, Yunhui Guo, Yapeng Tian
Audio-Visual Class-Incremental Learning. CoRR (2023)
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 (2023)
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 (2023)
Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers. CVPR (2022)
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) (2022)
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)
Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. CoRR (2022)
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)
Yunhui Guo, Haoran Guo, Stella X. Yu
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data. CVPR (2022)
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) (2022)
Xiaofan Yu, Yunhui Guo, Sicun Gao, Tajana Rosing
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge. CoRR (2022)
Yunhui Guo, Haoran Guo, Stella X. Yu
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data. CoRR (2021)
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)
Zhihang Ren, Yunhui Guo, Stella X. Yu, David Whitney
Improve Image-based Skin Cancer Diagnosis with Generative Self-Supervised Learning. CHASE (2021)
Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu
Free Hyperbolic Neural Networks with Limited Radii. CoRR (2021)
Minxuan Zhou, Yunhui Guo, Weihong Xu, Bin Li, Kevin W. Eliceiri, Tajana Rosing
MAT: Processing In-Memory Acceleration for Long-Sequence Attention. DAC (2021)
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)
Yunhui Guo, Xiaofan Yu, Kamalika Chaudhuri, Tajana Rosing
Efficient Distributed Training in Heterogeneous Mobile Networks with Active Sampling. MSN (2020)
Yunhui Guo, Mingrui Liu, Tianbao Yang, Tajana Rosing
Improved Schemes for Episodic Memory-based Lifelong Learning. NeurIPS (2020)
Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing
AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning. AAAI (2020)
Yunhui Guo, Yandong Li, Rogério Schmidt Feris, Liqiang Wang, Tajana Rosing
Depthwise Convolution is All You Need for Learning Multiple Visual Domains. CoRR (2019)
Anthony Thomas, Yunhui Guo, Yeseong Kim, Baris Aksanli, Arun Kumar, Tajana Simunic Rosing
Hierarchical and Distributed Machine Learning Inference Beyond the Edge. ICNSC (2019)
Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning. CoRR (2019)
Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing
Depthwise Convolution Is All You Need for Learning Multiple Visual Domains. AAAI (2019)
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)
Yunhui Guo, Mingrui Liu, Tianbao Yang, Tajana Rosing
Learning with Long-term Remembering: Following the Lead of Mixed Stochastic Gradient. CoRR (2019)
Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris
SpotTune: Transfer Learning Through Adaptive Fine-Tuning. CVPR (2019)
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 (2019)
Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris
SpotTune: Transfer Learning through Adaptive Fine-tuning. CoRR (2018)
Yunhui Guo
A Survey on Methods and Theories of Quantized Neural Networks. CoRR (2018)
Yunhui Guo, Congfu Xu, Hanzhang Song, Xin Wang
Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization. IJCAI (2017)
Hanzhang Song, Yunhui Guo, Congfu Xu
Incorporating Collaborative Ranking Algorithm with Weighted Recursive Autoencoder for Item Recommendation. AAAI Workshops (2017)
Yunhui Guo, Xin Wang, Congfu Xu
LBMF: Log-Bilinear Matrix Factorization for Recommender Systems. PAKDD (1) (2016)
Congfu Xu, Xin Wang, Yunhui Guo
Collaborative Expert Recommendation for Community-Based Question Answering. ECML/PKDD (1) (2016)
Xin Wang, Congfu Xu, Yunhui Guo, Hui Qian
Constrained Preference Embedding for Item Recommendation. IJCAI (2016)
Xin Wang, Yunhui Guo, Congfu Xu
Recommendation Algorithms for Optimizing Hit Rate, User Satisfaction and Website Revenue. IJCAI (2015)
Yunhui Guo, Xin Wang, Congfu Xu
CroRank: Cross Domain Personalized Transfer Ranking for Collaborative Filtering. ICDM Workshops (2015)