| 2026 | AAAI | Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? | Jia Li, Wenjie Zhao, Ziru Huang, Yunhui Guo, Yapeng Tian |
| 2025 | AAAI | PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation. | Sarthak Kumar Maharana, Baoming Zhang, Yunhui Guo |
| 2025 | CVPR | H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection. | Yuhang Liu, Wenjie Zhao, Yunhui Guo |
| 2025 | ICCV | BATCLIP: Bimodal Online Test-Time Adaptation for CLIP. | Sarthak Kumar Maharana, Baoming Zhang, Leonid Karlinsky, Rogrio Feris, Yunhui Guo |
| 2025 | IROS | Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation. | Yangxiao Lu, Jishnu Jaykumar P, Yunhui Guo, Nicholas Ruozzi, Yu Xiang |
| 2024 | AAAI | Continual Learning in an Open and Dynamic World. | Yunhui Guo |
| 2024 | AAAI | Inconsistency-Based Data-Centric Active Open-Set Annotation. | Ruiyu Mao, Ouyang Xu, Yunhui Guo |
| 2024 | CVPR | Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. | Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu |
| 2024 | CVPR | Segment Every Out-of-Distribution Object. | Wenjie Zhao, Jia Li, Xin Dong, Yu Xiang, Yunhui Guo |
| 2024 | ECCV | Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-view Data. | Yuxuan Li, Sarthak Kumar Maharana, Yunhui Guo |
| 2024 | GLOBECOM | Energy-Efficient Near-Field Wideband Beamforming with Circular Arrays. | Yunhui Guo, Yang Zhang, Zhaolin Wang, Yuanwei Liu, Zhiguo Ding |
| 2024 | MICCAI | SkinCON: Towards Consensus for the Uncertainty of Skin Cancer Sub-typing Through Distribution Regularized Adaptive Predictive Sets (DRAPS). | Zhihang Ren, Yunqi Li, Xinyu Li, Xinrong Xie, Erik P. Duhaime, Kathy Fang, Tapabrata Chakraborti, Yunhui Guo, Stella X. Yu, David Whitney |
| 2024 | PIMRC | Non-Uniform 3D Massive MIMO Arrays Topology Optimization for Near-Field Communications. | Yunhui Guo, Yang Zhang, Lihua Pang, Yuanwei Liu, Zhiguo Ding |
| 2024 | WACV | 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 |
| 2024 | WACV | Evolve: Enhancing Unsupervised Continual Learning with Multiple Experts. | Xiaofan Yu, Tajana Rosing, Yunhui Guo |
| 2023 | CVPR | SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge. | Xiaofan Yu, Yunhui Guo, Sicun Gao, Tajana Rosing |
| 2023 | ICCV | Audio-Visual Class-Incremental Learning. | Weiguo Pian, Shentong Mo, Yunhui Guo, Yapeng Tian |
| 2023 | PIMRC | Antenna Topology Optimization for Massive MIMO Near-Field Wireless Communications with Line-of-Sight Deterministic Channels. | Yunhui Guo, Yang Zhang, Lihua Pang, Xinyi Huang, Peng Ren, Yijian Chen |
| 2023 | UAI | AUC Maximization in Imbalanced Lifelong Learning. | Xiangyu Zhu, Jie Hao, Yunhui Guo, Mingrui Liu |
| 2022 | CVPR | CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data. | Yunhui Guo, Haoran Guo, Stella X. Yu |
| 2022 | CVPR | Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers. | Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu |
| 2022 | CVPR | Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. | Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu |
| 2021 | ASPDAC | HyperRec: Efficient Recommender Systems with Hyperdimensional Computing. | Yunhui Guo, Mohsen Imani, Jaeyoung Kang, Sahand Salamat, Justin Morris, Baris Aksanli, Yeseong Kim, Tajana Rosing |
| 2021 | CHASE | Improve Image-based Skin Cancer Diagnosis with Generative Self-Supervised Learning. | Zhihang Ren, Yunhui Guo, Stella X. Yu, David Whitney |
| 2021 | DAC | MAT: Processing In-Memory Acceleration for Long-Sequence Attention. | Minxuan Zhou, Yunhui Guo, Weihong Xu, Bin Li, Kevin W. Eliceiri, Tajana Rosing |
| 2020 | AAAI | AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning. | Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing |
| 2020 | ECCV | A Broader Study of Cross-Domain Few-Shot Learning. | Yunhui Guo, Noel Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogrio Feris |
| 2019 | AAAI | Depthwise Convolution Is All You Need for Learning Multiple Visual Domains. | Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing |
| 2019 | CVPR | SpotTune: Transfer Learning Through Adaptive Fine-Tuning. | Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogrio Schmidt Feris |
| 2019 | SENSYS | Efficient Sparse Processing in Smart Home Applications. | Rishikanth Chandrasekaran, Yunhui Guo, Anthony Thomas, Massimiliano Menarini, Michael H. Ostertag, Yeseong Kim, Tajana Rosing |
| 2017 | AAAI | Incorporating Collaborative Ranking Algorithm with Weighted Recursive Autoencoder for Item Recommendation. | Hanzhang Song, Yunhui Guo, Congfu Xu |
| 2017 | IJCAI | Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization. | Yunhui Guo, Congfu Xu, Hanzhang Song, Xin Wang |
| 2016 | IJCAI | Constrained Preference Embedding for Item Recommendation. | Xin Wang, Congfu Xu, Yunhui Guo, Hui Qian |
| 2016 | PAKDD | LBMF: Log-Bilinear Matrix Factorization for Recommender Systems. | Yunhui Guo, Xin Wang, Congfu Xu |
| 2015 | ICDM | CroRank: Cross Domain Personalized Transfer Ranking for Collaborative Filtering. | Yunhui Guo, Xin Wang, Congfu Xu |
| 2015 | IJCAI | Recommendation Algorithms for Optimizing Hit Rate, User Satisfaction and Website Revenue. | Xin Wang, Yunhui Guo, Congfu Xu |