SoftPatch: Unsupervised Anomaly Detection with Noisy Data. - Xi Jiang 009; Jianlin Liu; Jinbao Wang; Qiang Nie; Kai Wu; Yong Liu 032; Chengjie Wang; Feng Zheng (NeurIPS, 2022)

A Survey of Visual Sensory Anomaly Detection. - Xi Jiang 009; Guoyang Xie; Jinbao Wang; Yong Liu 032; Chengjie Wang; Feng Zheng; Yaochu Jin (CoRR, 2022)

Tuning-Free Image Customization with Image and Text Guidance. - Pengzhi Li; Qiang Nie; Ying Chen; Xi Jiang 009; Kai Wu; Yuhuan Lin; Yong Liu 032; Jinlong Peng; Chengjie Wang; Feng Zheng (ECCV (76), 2024)

Toward Multi-class Anomaly Detection: Exploring Class-aware Unified Model against Inter-class Interference. - Xi Jiang 009; Ying Chen; Qiang Nie; Jianlin Liu; Yong Liu 032; Chengjie Wang; Feng Zheng (CoRR, 2024)

SoftPatch: Unsupervised Anomaly Detection with Noisy Data. - Xi Jiang 009; Ying Chen; Qiang Nie; Yong Liu 032; Jianlin Liu; Bin-Bin Gao; Jun Liu 071; Chengjie Wang; Feng Zheng (CoRR, 2024)

CAR: Controllable Autoregressive Modeling for Visual Generation. - Ziyu Yao 001; Jialin Li; Yifeng Zhou; Yong Liu 032; Xi Jiang 009; Chengjie Wang; Feng Zheng; Yuexian Zou; Lei Li (CoRR, 2024)

MMAD: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection. - Xi Jiang 009; Jian Li 062; Hanqiu Deng; Yong Liu 032; Bin-Bin Gao; Yifeng Zhou; Jialin Li; Chengjie Wang; Feng Zheng (CoRR, 2024)

A Bayesian Federated Learning Framework With Online Laplace Approximation. - Liangxi Liu; Xi Jiang 009; Feng Zheng; Hong Chen 004; Guo-Jun Qi; Heng Huang; Ling Shao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection. - Xi Jiang 009; Jian Li 062; Hanqiu Deng; Yong Liu 032; Bin-Bin Gao; Yifeng Zhou; Jialin Li; Chengjie Wang; Feng Zheng (ICLR, 2025)

SoftPatch+: Fully unsupervised anomaly classification and segmentation. - Chengjie Wang; Xi Jiang 009; Bin-Bin Gao; Zhenye Gan; Yong Liu 032; Feng Zheng; Lizhuang Ma (Pattern Recognit., 2025)

Domain Generalization via Discrete Codebook Learning. - Shaocong Long; Qianyu Zhou 001; Xi Jiang 009; Chenhao Ying 001; Lizhuang Ma; Yuan Luo 003 (CoRR, 2025)