Xi Jiang

According to our database, Xi Jiang authored at least 16 papers between 2022 and 2026.

Collaborative distances:

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

2026

AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context Comparison.

Xi Jiang, Yue Guo, Jian Li, Yong Liu, Bin-Bin Gao, Hanqiu Deng, Jun Liu, Heng Zhao, Chengjie Wang, Feng Zheng

CoRR, March, 2026

Mastering Negation: Boosting Grounding Models via Grouped Opposition-Based Learning.

Zesheng Yang, Xi Jiang, Bingzhang Hu, Weili Guan, Runmin Cong, Guo-Jun Qi, Feng Zheng

CoRR, March, 2026

Tuning-Free Adaptive Style Incorporation for Structure-Consistent Text-Driven Style Transfer.

Yanqi Ge, Jiaqi Liu, Qingnan Fan, Xi Jiang, Ye Huang, Shuai Qin, Hong Gu, Wen Li, Lixin Duan

IEEE Trans. Vis. Comput. Graph., February, 2026

ConsistentRFT: Reducing Visual Hallucinations in Flow-based Reinforcement Fine-Tuning.

Xiaofeng Tan, Jun Liu, Yuanting Fan, Bin-Bin Gao, Xi Jiang, Xiaochen Chen, Jinlong Peng, Chengjie Wang, Hongsong Wang, Feng Zheng

CoRR, February, 2026

2025

Towards Balanced Representation Learning with Semantic Anchor Regularization.

Chengjie Wang, Qiang Nie, Ying Chen, Jialin Li, Yong Liu, Xi Jiang, Yanqi Ge, Yunsheng Wu, Feng Zheng, Lizhuang Ma

Int. J. Comput. Vis., October, 2025

SoftPatch+: Fully unsupervised anomaly classification and segmentation.

Chengjie Wang, Xi Jiang, Bin-Bin Gao, Zhenye Gan, Yong Liu, Feng Zheng, Lizhuang Ma

Pattern Recognit., 2025

Domain Generalization via Discrete Codebook Learning.

Shaocong Long, Qianyu Zhou, Xi Jiang, Chenhao Ying, Lizhuang Ma, Yuan Luo

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection.

Xi Jiang, Jian Li, Hanqiu Deng, Yong Liu, Bin-Bin Gao, Yifeng Zhou, Jialin Li, Chengjie Wang, Feng Zheng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

A Bayesian Federated Learning Framework With Online Laplace Approximation.

Liangxi Liu, Xi Jiang, Feng Zheng, Hong Chen, Guo-Jun Qi, Heng Huang, Ling Shao

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

MMAD: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection.

Xi Jiang, Jian Li, Hanqiu Deng, Yong Liu, Bin-Bin Gao, Yifeng Zhou, Jialin Li, Chengjie Wang, Feng Zheng

CoRR, 2024

CAR: Controllable Autoregressive Modeling for Visual Generation.

Ziyu Yao, Jialin Li, Yifeng Zhou, Yong Liu, Xi Jiang, Chengjie Wang, Feng Zheng, Yuexian Zou, Lei Li

CoRR, 2024

SoftPatch: Unsupervised Anomaly Detection with Noisy Data.

Xi Jiang, Ying Chen, Qiang Nie, Yong Liu, Jianlin Liu, Bin-Bin Gao, Jun Liu, Chengjie Wang, Feng Zheng

CoRR, 2024

Toward Multi-class Anomaly Detection: Exploring Class-aware Unified Model against Inter-class Interference.

Xi Jiang, Ying Chen, Qiang Nie, Jianlin Liu, Yong Liu, Chengjie Wang, Feng Zheng

CoRR, 2024

Tuning-Free Image Customization with Image and Text Guidance.

Pengzhi Li, Qiang Nie, Ying Chen, Xi Jiang, Kai Wu, Yuhuan Lin, Yong Liu, Jinlong Peng, Chengjie Wang, Feng Zheng

Proceedings of the Computer Vision - ECCV 2024, 2024

2022

A Survey of Visual Sensory Anomaly Detection.

Xi Jiang, Guoyang Xie, Jinbao Wang, Yong Liu, Chengjie Wang, Feng Zheng, Yaochu Jin

CoRR, 2022

SoftPatch: Unsupervised Anomaly Detection with Noisy Data.

Xi Jiang, Jianlin Liu, Jinbao Wang, Qiang Nie, Kai Wu, Yong Liu, Chengjie Wang, Feng Zheng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022