Guo, Yunhui

28 publications

NeurIPS 2025 $\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time Sarthak Kumar Maharana, Saksham Singh Kushwaha, Baoming Zhang, Adrian Rodriguez, Songtao Wei, Yapeng Tian, Yunhui Guo

ICCV 2025 BATCLIP: Bimodal Online Test-Time Adaptation for CLIP Sarthak Maharana, Baoming Zhang, Leonid Karlinsky, Rogerio Feris, Yunhui Guo

CVPR 2025 H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection Yuhang Liu, Wenjie Zhao, Yunhui Guo

AAAI 2025 PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation Sarthak Kumar Maharana, Baoming Zhang, Yunhui Guo

NeurIPS 2024 Continual Audio-Visual Sound Separation Weiguo Pian, Yiyang Nan, Shijian Deng, Shentong Mo, Yunhui Guo, Yapeng Tian

AAAI 2024 Continual Learning in an Open and Dynamic World Yunhui Guo

WACV 2024 Evolve: Enhancing Unsupervised Continual Learning with Multiple Experts Xiaofan Yu, Tajana Rosing, Yunhui Guo

AAAI 2024 Inconsistency-Based Data-Centric Active Open-Set Annotation Ruiyu Mao, Ouyang Xu, Yunhui Guo

ECCV 2024 Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-View Data Yuxuan Li, Sarthak Kumar Maharana, Yunhui Guo

NeurIPS 2024 STONE: A Submodular Optimization Framework for Active 3D Object Detection Ruiyu Mao, Sarthak Kumar Maharana, Rishabh K Iyer, Yunhui Guo

CVPR 2024 Segment Every Out-of-Distribution Object Wenjie Zhao, Jia Li, Xin Dong, Yu Xiang, Yunhui Guo

CVPR 2024 Unsupervised Feature Learning with Emergent Data-Driven Prototypicality Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu

WACV 2024 VEATIC: Video-Based Emotion and Affect Tracking in Context Dataset Zhihang Ren, Jefferson Ortega, Yifan Wang, Zhimin Chen, Yunhui Guo, Stella X. Yu, David Whitney

UAI 2023 AUC Maximization in Imbalanced Lifelong Learning Xiangyu Zhu, Jie Hao, Yunhui Guo, Mingrui Liu

ICCV 2023 Audio-Visual Class-Incremental Learning Weiguo Pian, Shentong Mo, Yunhui Guo, Yapeng Tian

CVPRW 2023 SCALE: Online Self-Supervised Lifelong Learning Without Prior Knowledge Xiaofan Yu, Yunhui Guo, Sicun Gao, Tajana Rosing

CVPR 2022 CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data Yunhui Guo, Haoran Guo, Stella X. Yu

CVPR 2022 Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu

CVPR 2022 Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu

ECCV 2020 A Broader Study of Cross-Domain Few-Shot Learning Yunhui Guo, Noel C. Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogerio Feris

AAAI 2020 AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing

ICLR 2020 Attacking Lifelong Learning Models with Gradient Reversion Yunhui Guo, Mingrui Liu, Yandong Li, Liqiang Wang, Tianbao Yang, Tajana Rosing

NeurIPS 2020 Improved Schemes for Episodic Memory-Based Lifelong Learning Yunhui Guo, Mingrui Liu, Tianbao Yang, Tajana Rosing

AAAI 2019 Depthwise Convolution Is All You Need for Learning Multiple Visual Domains Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing

IJCAI 2017 Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization Yunhui Guo, Congfu Xu, Hanzhang Song, Xin Wang

ECML-PKDD 2016 Collaborative Expert Recommendation for Community-Based Question Answering Congfu Xu, Xin Wang, Yunhui Guo

IJCAI 2016 Constrained Preference Embedding for Item Recommendation Xin Wang, Congfu Xu, Yunhui Guo, Hui Qian

IJCAI 2015 Recommendation Algorithms for Optimizing Hit Rate, User Satisfaction and Website Revenue Xin Wang, Yunhui Guo, Congfu Xu