Discovering Domain-Invariant Subspace for Depression Recognition by Jointly Exploiting Appearance and Dynamics Feature Representations. - Jianwen Tao; Haote Xu (IEEE Access, 2019)

Low-Rank Constrained Latent Domain Adaptation Co-Regression for Robust Depression Recognition. - Jianwen Tao; Haote Xu; Jianjing Fu (IEEE Access, 2019)

Unsupervised Anomaly Segmentation for Brain Lesions Using Dual Semantic-Manifold Reconstruction. - Zhiyuan Ding; Qi Dong; Haote Xu; Chenxin Li; Xinghao Ding; Yue Huang 001 (ICONIP (3), 2022)

AFSC: Adaptive Fourier Space Compression for Anomaly Detection. - Haote Xu; Yunlong Zhang; Liyan Sun; Chenxin Li; Yue Huang 001; Xinghao Ding (CoRR, 2022)

Implicit Foreground-Guided Network for Anomaly Detection and Localization. - Xiaolu Chen; Haote Xu; Chenghao Deng; Xiaotong Tu; Xinghao Ding; Yue Huang 001 (ICASSP, 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 001 (ACM Multimedia, 2024)

P2SAM: Probabilistically Prompted SAMs Are Efficient Segmentator for Ambiguous Medical Images. - Yuzhi Huang; Chenxin Li; Zixu Lin; Hengyu Liu 007; Haote Xu; Yifan Liu 010; Yue Huang 001; Xinghao Ding; Xiaotong Tu; Yixuan Yuan (ACM Multimedia, 2024)

AFSC: Adaptive Fourier Space Compression for Anomaly Detection. - Haote Xu; Yunlong Zhang; Xiaolu Chen; Changxing Jing; Liyan Sun; Yue Huang 001; Xinghao Ding (IEEE Trans. Ind. Informatics, 2024)

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)

Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection. - Jiaxiang Wang; Haote Xu; Xiaolu Chen; Haodi Xu; Yue Huang 001; Xinghao Ding; Xiaotong Tu (CoRR, 2025)