Yunhui Guo - RankMe

97 papers A* 21A 4B 4Journal 53Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Skill-augmented Agentic Framework and Benchmark for Multi-Video Understanding. CoRR Yue Zhang, Liqiang Jing, Jia Li, Yapeng Tian, Xinya Du, Yunhui Guo, Vibhav Gogate
2026	J	`jnl`	Audio-Visual Continual Test-Time Adaptation without Forgetting. CoRR Sarthak Kumar Maharana, Akshay Mehra, Bhavya Ramakrishna, Yunhui Guo, Guan-Ming Su
2026	A*	`conf`	Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? AAAI Jia Li, Wenjie Zhao, Ziru Huang, Yunhui Guo, Yapeng Tian
2026	J	`jnl`	Effective Beamfocusing Design and Power Allocation for Near-Field Secure Communications. IEEE Trans. Wirel. Commun. Yunhui Guo, Yang Zhang, Yaxin Ren, Minghao Shang, Lihua Pang, Yuanwei Liu
2026	J	`jnl`	Learnability-Driven Submodular Optimization for Active Roadside 3D Detection. CoRR Ruiyu Mao, Baoming Zhang, Nicholas Ruozzi, Yunhui Guo
2025	J	`jnl`	AVROBUSTBENCH: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time. CoRR Sarthak Kumar Maharana, Saksham Singh Kushwaha, Baoming Zhang, Adrian Rodriguez, Songtao Wei, Yapeng Tian, Yunhui Guo
2025	A	`conf`	Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation. IROS Yangxiao Lu, Jishnu Jaykumar P, Yunhui Guo, Nicholas Ruozzi, Yu Xiang
2025	J	`jnl`	Can Video Large Multimodal Models Think Like Doubters-or Double-Down: A Study on Defeasible Video Entailment. CoRR Yue Zhang, Jilei Sun, Yunhui Guo, Vibhav Gogate
2025	J	`jnl`	Design of Non-Uniform 3-D Arrays for Near-Field XL-MIMO Communications. IEEE Wirel. Commun. Lett. Yunhui Guo, Yang Zhang, Lihua Pang, Yaxin Ren, Yijian Chen, Yuanwei Liu
2025	J	`jnl`	Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? CoRR Jia Li, Wenjie Zhao, Ziru Huang, Yunhui Guo, Yapeng Tian
2025	J	`jnl`	From Pixel to Mask: A Survey of Out-of-Distribution Segmentation. CoRR Wenjie Zhao, Jia Li, Yunhui Guo
2025	A*	`conf`	H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection. CVPR Yuhang Liu, Wenjie Zhao, Yunhui Guo
2025	J	`jnl`	H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection. CoRR Yuhang Liu, Wenjie Zhao, Yunhui Guo
2025	J	`jnl`	Impact of Array Orientations on Degrees of Freedom for Continuous Aperture Arrays (CAPA). IEEE Wirel. Commun. Lett. Yunhui Guo, Yang Zhang, Zhaolin Wang, Minghao Shang, Yijian Chen, Yuanwei Liu
2025	J	`jnl`	MetaRank: Task-Aware Metric Selection for Model Transferability Estimation. CoRR Yuhang Liu, Wenjie Zhao, Yunhui Guo
2025	J	`jnl`	Modeling and Analysis of Spatial Correlation for Near-Field Communications. IEEE Trans. Commun. Yunhui Guo, Yang Zhang, Zhaolin Wang, Yuanwei Liu
2025	J	`jnl`	Multimodal Reference Visual Grounding. CoRR Yangxiao Lu, Ruosen Li, Liqiang Jing, Jikai Wang, Xinya Du, Yunhui Guo, Nicholas Ruozzi, Yu Xiang
2025	A*	`conf`	PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation. AAAI Sarthak Kumar Maharana, Baoming Zhang, Yunhui Guo
2025	J	`jnl`	SELECT: A Submodular Approach for Active LiDAR Semantic Segmentation. CoRR Ruiyu Mao, Sarthak Kumar Maharana, Xulong Tang, Yunhui Guo
2025	J	`jnl`	SafeFix: Targeted Model Repair via Controlled Image Generation. CoRR Ouyang Xu, Baoming Zhang, Ruiyu Mao, Yunhui Guo
2025	J	`jnl`	Scheduling and Precoding for Multicarrier Multiuser MIMO Systems: An Effective Heuristic Solution. IEEE Wirel. Commun. Lett. Minghao Shang, Yang Zhang, Lihua Pang, Yunhui Guo, Yaxin Ren, Jiandong Li
2025	J	`jnl`	WonderHuman: Hallucinating Unseen Parts in Dynamic 3D Human Reconstruction. CoRR Zilong Wang, Zhiyang Dou, Yuan Liu, Cheng Lin, Xiao Dong, Yunhui Guo, Chenxu Zhang, Xin Li, Wenping Wang, Xiaohu Guo
2025	J	`jnl`	WonderHuman: Hallucinating Unseen Parts in Dynamic 3D Human Reconstruction. IEEE Trans. Vis. Comput. Graph. Zilong Wang, Zhiyang Dou, Yuan Liu, Cheng Lin, Xiao Dong, Yunhui Guo, Chenxu Zhang, Xin Li, Wenping Wang, Xiaohu Guo
2024	J	`jnl`	Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation. CoRR Yangxiao Lu, Jishnu Jaykumar P, Yunhui Guo, Nicholas Ruozzi, Yu Xiang
2024	A*	`conf`	Continual Audio-Visual Sound Separation. NeurIPS Weiguo Pian, Yiyang Nan, Shijian Deng, Shentong Mo, Yunhui Guo, Yapeng Tian
2024	J	`jnl`	Continual Audio-Visual Sound Separation. CoRR Weiguo Pian, Yiyang Nan, Shijian Deng, Shentong Mo, Yunhui Guo, Yapeng Tian
2024	J	`jnl`	Continual Distillation Learning. CoRR Qifan Zhang, Yunhui Guo, Yu Xiang
2024	A*	`conf`	Continual Learning in an Open and Dynamic World. AAAI Yunhui Guo
2024	B	`conf`	Energy-Efficient Near-Field Wideband Beamforming with Circular Arrays. GLOBECOM Yunhui Guo, Yang Zhang, Zhaolin Wang, Yuanwei Liu, Zhiguo Ding
2024	J	`jnl`	Enhancing Robustness of CLIP to Common Corruptions through Bimodal Test-Time Adaptation. CoRR Sarthak Kumar Maharana, Baoming Zhang, Leonid Karlinsky, Rogério Feris, Yunhui Guo
2024	A	`conf`	Evolve: Enhancing Unsupervised Continual Learning with Multiple Experts. WACV Xiaofan Yu, Tajana Rosing, Yunhui Guo
2024	J	`jnl`	GradAlign for Training-free Model Performance Inference. CoRR Yuxuan Li, Yunhui Guo
2024	A*	`conf`	Inconsistency-Based Data-Centric Active Open-Set Annotation. AAAI Ruiyu Mao, Ouyang Xu, Yunhui Guo
2024	J	`jnl`	Inconsistency-Based Data-Centric Active Open-Set Annotation. CoRR Ruiyu Mao, Ouyang Xu, Yunhui Guo
2024	J	`jnl`	KITE: A Kernel-based Improved Transferability Estimation Method. CoRR Yunhui Guo
2024	J	`jnl`	Modality-Inconsistent Continual Learning of Multimodal Large Language Models. CoRR Weiguo Pian, Shijian Deng, Shentong Mo, Yunhui Guo, Yapeng Tian
2024	B	`conf`	Non-Uniform 3D Massive MIMO Arrays Topology Optimization for Near-Field Communications. PIMRC Yunhui Guo, Yang Zhang, Lihua Pang, Yuanwei Liu, Zhiguo Ding
2024	J	`jnl`	Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-View Data. CoRR Yuxuan Li, Sarthak Kumar Maharana, Yunhui Guo
2024	—	`conf`	Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-view Data. ECCV (65) Yuxuan Li, Sarthak Kumar Maharana, Yunhui Guo
2024	J	`jnl`	PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation. CoRR Sarthak Kumar Maharana, Baoming Zhang, Yunhui Guo
2024	—	`conf`	Research on 3D Cloud Modeling based on the Combination of Meteorological Data and Multiple Noises. CIPAE He Ren, Xiaoxi He, Liang Hu, Yunhui Guo, Jinwei Chen, Min Wang
2024	A*	`conf`	STONE: A Submodular Optimization Framework for Active 3D Object Detection. NeurIPS Ruiyu Mao, Sarthak Kumar Maharana, Rishabh K. Iyer, Yunhui Guo
2024	J	`jnl`	STONE: A Submodular Optimization Framework for Active 3D Object Detection. CoRR Ruiyu Mao, Sarthak Kumar Maharana, Rishabh K. Iyer, Yunhui Guo
2024	A*	`conf`	Segment Every Out-of-Distribution Object. CVPR Wenjie Zhao, Jia Li, Xin Dong, Yu Xiang, Yunhui Guo
2024	—	`conf`	SkinCON: Towards Consensus for the Uncertainty of Skin Cancer Sub-typing Through Distribution Regularized Adaptive Predictive Sets (DRAPS). MICCAI (1) Zhihang Ren, Yunqi Li, Xinyu Li, Xinrong Xie, Erik P. Duhaime, Kathy Fang, Tapabrata Chakraborti, Yunhui Guo, Stella X. Yu, David Whitney
2024	A*	`conf`	Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. CVPR Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu
2024	A	`conf`	VEATIC: Video-based Emotion and Affect Tracking in Context Dataset. WACV Zhihang Ren, Jefferson Ortega, Yifan Wang, Zhimin Chen, Yunhui Guo, Stella X. Yu, David Whitney
2024	J	`jnl`	Wideband Beamforming for Near-Field Communications With Circular Arrays. IEEE Trans. Wirel. Commun. Yunhui Guo, Yang Zhang, Zhaolin Wang, Yuanwei Liu
2024	J	`jnl`	Wideband Beamforming for Near-Field Communications with Circular Arrays. CoRR Yunhui Guo, Yang Zhang, Zhaolin Wang, Yuanwei Liu
2023	A	`conf`	AUC Maximization in Imbalanced Lifelong Learning. UAI Xiangyu Zhu, Jie Hao, Yunhui Guo, Mingrui Liu
2023	B	`conf`	Antenna Topology Optimization for Massive MIMO Near-Field Wireless Communications with Line-of-Sight Deterministic Channels. PIMRC Yunhui Guo, Yang Zhang, Lihua Pang, Xinyi Huang, Peng Ren, Yijian Chen
2023	A*	`conf`	Audio-Visual Class-Incremental Learning. ICCV Weiguo Pian, Shentong Mo, Yunhui Guo, Yapeng Tian
2023	J	`jnl`	Audio-Visual Class-Incremental Learning. CoRR Weiguo Pian, Shentong Mo, Yunhui Guo, Yapeng Tian
2023	J	`jnl`	Modeling Semantic Correlation and Hierarchy for Real-World Wildlife Recognition. IEEE Signal Process. Lett. Dong-Jin Kim, Zhongqi Miao, Yunhui Guo, Stella X. Yu
2023	J	`jnl`	Optimizing Antenna Topology for Massive MIMO Planar Arrays With Line-of-Sight Deterministic Channels. IEEE Trans. Veh. Technol. Yunhui Guo, Yang Zhang, Lihua Pang, Xinyi Huang, Yuchen Wu, Yijian Chen
2023	—	`conf`	SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge. CVPR Workshops Xiaofan Yu, Yunhui Guo, Sicun Gao, Tajana Rosing
2023	J	`jnl`	Segment Every Out-of-Distribution Object. CoRR Wenjie Zhao, Jia Li, Xin Dong, Yu Xiang, Yunhui Guo
2023	—	`conf`	Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction. Robotics: Science and Systems Yangxiao Lu, Ninad A. Khargonkar, Zesheng Xu, Charles Averill, Kamalesh Palanisamy, Kaiyu Hang, Yunhui Guo, Nicholas Ruozzi, Yu Xiang
2023	J	`jnl`	Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction. CoRR Yangxiao Lu, Ninad Khargonkar, Zesheng Xu, Charles Averill, Kamalesh Palanisamy, Kaiyu Hang, Yunhui Guo, Nicholas Ruozzi, Yu Xiang
2023	J	`jnl`	Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective. CoRR Haoliang Wang, Chen Zhao, Yunhui Guo, Kai Jiang, Feng Chen
2023	J	`jnl`	Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. CoRR Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu
2023	J	`jnl`	VEATIC: Video-based Emotion and Affect Tracking in Context Dataset. CoRR Zhihang Ren, Jefferson Ortega, Yifan Wang, Zhimin Chen, Yunhui Guo, Stella X. Yu, David Whitney
2022	J	`jnl`	AdaLN: A Vision Transformer for Multidomain Learning and Predisaster Building Information Extraction from Images. J. Comput. Civ. Eng. Yunhui Guo, Chaofeng Wang, Stella X. Yu, Frank McKenna, Kincho H. Law
2022	A*	`conf`	CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data. CVPR Yunhui Guo, Haoran Guo, Stella X. Yu
2022	J	`jnl`	Capacity Analysis and Optimal Spacing Design for Compact Array Massive MIMO Systems With Finite Aperture. IEEE Commun. Lett. Lihua Pang, Minglei Wang, Yang Zhang, Yunhui Guo, Yijian Chen, Anyi Wang
2022	A*	`conf`	Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers. CVPR Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu
2022	J	`jnl`	Energy Efficiency Optimization for Compact Massive MIMO Wireless Systems. IEEE Trans. Veh. Technol. Yang Zhang, Jie Tang, Lihua Pang, Yunhui Guo, Yijian Chen, Jiandong Li
2022	J	`jnl`	SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge. CoRR Xiaofan Yu, Yunhui Guo, Sicun Gao, Tajana Rosing
2022	A*	`conf`	Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. CVPR Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu
2022	J	`jnl`	Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. CoRR Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu
2021	J	`jnl`	CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data. CoRR Yunhui Guo, Haoran Guo, Stella X. Yu
2021	J	`jnl`	Free Hyperbolic Neural Networks with Limited Radii. CoRR Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu
2021	—	`conf`	HyperRec: Efficient Recommender Systems with Hyperdimensional Computing. ASP-DAC Yunhui Guo, Mohsen Imani, Jaeyoung Kang, Sahand Salamat, Justin Morris, Baris Aksanli, Yeseong Kim, Tajana Rosing
2021	B	`conf`	Improve Image-based Skin Cancer Diagnosis with Generative Self-Supervised Learning. CHASE Zhihang Ren, Yunhui Guo, Stella X. Yu, David Whitney
2021	A*	`conf`	MAT: Processing In-Memory Acceleration for Long-Sequence Attention. DAC Minxuan Zhou, Yunhui Guo, Weihong Xu, Bin Li, Kevin W. Eliceiri, Tajana Rosing
2020	—	`conf`	A Broader Study of Cross-Domain Few-Shot Learning. ECCV (27) Yunhui Guo, Noel Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogério Feris
2020	A*	`conf`	AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning. AAAI Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing
2020	—	`conf`	Efficient Distributed Training in Heterogeneous Mobile Networks with Active Sampling. MSN Yunhui Guo, Xiaofan Yu, Kamalika Chaudhuri, Tajana Rosing
2020	—	`—`	Efficient Learning across Multiple Domains with Deep Neural Networks. Yunhui Guo
2020	A*	`conf`	Improved Schemes for Episodic Memory-based Lifelong Learning. NeurIPS Yunhui Guo, Mingrui Liu, Tianbao Yang, Tajana Rosing
2019	J	`jnl`	A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning. CoRR Yunhui Guo, Noel C. F. Codella, Leonid Karlinsky, John R. Smith, Tajana Rosing, Rogério Schmidt Feris
2019	J	`jnl`	AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning. CoRR Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing
2019	A*	`conf`	Depthwise Convolution Is All You Need for Learning Multiple Visual Domains. AAAI Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing
2019	J	`jnl`	Depthwise Convolution is All You Need for Learning Multiple Visual Domains. CoRR Yunhui Guo, Yandong Li, Rogério Schmidt Feris, Liqiang Wang, Tajana Rosing
2019	—	`conf`	Efficient Sparse Processing in Smart Home Applications. SenSys-ML Rishikanth Chandrasekaran, Yunhui Guo, Anthony Thomas, Massimiliano Menarini, Michael H. Ostertag, Yeseong Kim, Tajana Rosing
2019	—	`conf`	Hierarchical and Distributed Machine Learning Inference Beyond the Edge. ICNSC Anthony Thomas, Yunhui Guo, Yeseong Kim, Baris Aksanli, Arun Kumar, Tajana Simunic Rosing
2019	J	`jnl`	Learning with Long-term Remembering: Following the Lead of Mixed Stochastic Gradient. CoRR Yunhui Guo, Mingrui Liu, Tianbao Yang, Tajana Rosing
2019	A*	`conf`	SpotTune: Transfer Learning Through Adaptive Fine-Tuning. CVPR Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris
2018	J	`jnl`	A Survey on Methods and Theories of Quantized Neural Networks. CoRR Yunhui Guo
2018	J	`jnl`	SpotTune: Transfer Learning through Adaptive Fine-tuning. CoRR Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris
2017	—	`conf`	Incorporating Collaborative Ranking Algorithm with Weighted Recursive Autoencoder for Item Recommendation. AAAI Workshops Hanzhang Song, Yunhui Guo, Congfu Xu
2017	A*	`conf`	Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization. IJCAI Yunhui Guo, Congfu Xu, Hanzhang Song, Xin Wang
2016	—	`conf`	Collaborative Expert Recommendation for Community-Based Question Answering. ECML/PKDD (1) Congfu Xu, Xin Wang, Yunhui Guo
2016	A*	`conf`	Constrained Preference Embedding for Item Recommendation. IJCAI Xin Wang, Congfu Xu, Yunhui Guo, Hui Qian
2016	—	`conf`	LBMF: Log-Bilinear Matrix Factorization for Recommender Systems. PAKDD (1) Yunhui Guo, Xin Wang, Congfu Xu
2015	—	`conf`	CroRank: Cross Domain Personalized Transfer Ranking for Collaborative Filtering. ICDM Workshops Yunhui Guo, Xin Wang, Congfu Xu
2015	A*	`conf`	Recommendation Algorithms for Optimizing Hit Rate, User Satisfaction and Website Revenue. IJCAI Xin Wang, Yunhui Guo, Congfu Xu