Haote Xu

According to our database, Haote Xu authored at least 11 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Exploiting point-language models with dual-prompts for 3D anomaly detection.

Jiaxiang Wang, Haote Xu, Xiaolu Chen, Haodi Xu, Yue Huang, Xinghao Ding, Xiaotong Tu

Expert Syst. Appl., 2026

2025

CVC: Further aligning LLMs via cross-view correction for time series forecasting.

Feifei Li, Haote Xu, Haodi Xu, Yinhao Liu, Xinghao Ding

Knowl. Based Syst., 2025

Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate.

Yifan Fang, Yifei Fang, Ruizhe Chen, Haote Xu, Xinghao Ding, Yue Huang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

AFSC: Adaptive Fourier Space Compression for Anomaly Detection.

Haote Xu, Yunlong Zhang, Xiaolu Chen, Changxing Jing, Liyan Sun, Yue Huang, Xinghao Ding

IEEE Trans. Ind. Informatics, November, 2024

<i>P²SAM: </i> Probabilistically Prompted SAMs Are Efficient Segmentator for Ambiguous Medical Images.

Yuzhi Huang, Chenxin Li, Zixu Lin, Hengyu Liu, Haote Xu, Yifan Liu, Yue Huang, Xinghao Ding, Xiaotong Tu, Yixuan Yuan

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

SimCLIP: Refining Image-Text Alignment with Simple Prompts for Zero-/Few-shot Anomaly Detection.

Chenghao Deng, Haote Xu, Xiaolu Chen, Haodi Xu, Xiaotong Tu, Xinghao Ding, Yue Huang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Implicit Foreground-Guided Network for Anomaly Detection and Localization.

Xiaolu Chen, Haote Xu, Chenghao Deng, Xiaotong Tu, Xinghao Ding, Yue Huang

Proceedings of the IEEE International Conference on Acoustics, 2024

2022

AFSC: Adaptive Fourier Space Compression for Anomaly Detection.

Haote Xu, Yunlong Zhang, Liyan Sun, Chenxin Li, Yue Huang, Xinghao Ding

CoRR, 2022

Unsupervised Anomaly Segmentation for Brain Lesions Using Dual Semantic-Manifold Reconstruction.

Zhiyuan Ding, Qi Dong, Haote Xu, Chenxin Li, Xinghao Ding, Yue Huang

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2019

Low-Rank Constrained Latent Domain Adaptation Co-Regression for Robust Depression Recognition.

Jianwen Tao, Haote Xu, Jianjing Fu

IEEE Access, 2019

Discovering Domain-Invariant Subspace for Depression Recognition by Jointly Exploiting Appearance and Dynamics Feature Representations.

Jianwen Tao, Haote Xu

IEEE Access, 2019