Online Active Calibration for a Multi-LRF System. - Guoyang Xie; Tao Xu; Carsten Isert; Michael Aeberhard; Shaohua Li; Ming Liu 001 (ITSC, 2015)

Life Long Across All Four Seasons Scene Understanding. - Zhennan Wang; Xiang Gao; Guoyang Xie; Jishun Guo (ICEIC, 2019)

Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search. - Guoyang Xie; Jinbao Wang; Guo Yu 001; Feng Zheng; Yaochu Jin (CoRR, 2021)

FedMed-ATL: Misaligned Unpaired Cross-Modality Neuroimage Synthesis via Affine Transform Loss. - Jinbao Wang; Guoyang Xie; Yawen Huang; Yefeng Zheng 001; Yaochu Jin; Feng Zheng (ACM Multimedia, 2022)

FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis. - Guoyang Xie; Jinbao Wang; Yawen Huang; Yefeng Zheng 001; Feng Zheng; Jingkuan Song; Yaochu Jin (CoRR, 2022)

FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss. - Guoyang Xie; Jinbao Wang; Yawen Huang; Yefeng Zheng 001; Feng Zheng; Yaochu Jin (CoRR, 2022)

A Survey of Cross-Modality Brain Image Synthesis. - Guoyang Xie; Jinbao Wang; Yawen Huang; Yefeng Zheng 001; Feng Zheng; Yaochu Jin (CoRR, 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)

What Makes a Good Data Augmentation for Few-Shot Unsupervised Image Anomaly Detection? - Lingrui Zhang; Shuheng Zhang; Guoyang Xie; Jiaqi Liu 004; Hua Yan; Jinbao Wang; Feng Zheng; Yaochu Jin (CVPR Workshops, 2023)

Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore. - Guoyang Xie; Jinbao Wang; Jiaqi Liu 004; Yaochu Jin; Feng Zheng (ICLR, 2023)

EasyNet: An Easy Network for 3D Industrial Anomaly Detection. - Ruitao Chen; Guoyang Xie; Jiaqi Liu 004; Jinbao Wang; Ziqi Luo; Jinfan Wang; Feng Zheng (ACM Multimedia, 2023)

Real3D-AD: A Dataset of Point Cloud Anomaly Detection. - Jiaqi Liu 004; Guoyang Xie; Ruitao Chen; Xinpeng Li 004; Jinbao Wang; Yong Liu 032; Chengjie Wang; Feng Zheng (NeurIPS, 2023)

Deep Industrial Image Anomaly Detection: A Survey. - Jiaqi Liu 004; Guoyang Xie; Jingbao Wang; Shangnian Li; Chengjie Wang; Feng Zheng; Yaochu Jin (CoRR, 2023)

Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore. - Guoyang Xie; Jingbao Wang; Jiaqi Liu 004; Feng Zheng; Yaochu Jin (CoRR, 2023)

K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment. - Jinbao Wang; Guoyang Xie; Yawen Huang; Jiayi Lyu; Feng Zheng; Yefeng Zheng 001; Yaochu Jin (CoRR, 2023)

FedMed-GAN: Federated domain translation on unsupervised cross-modality brain image synthesis. - Jinbao Wang; Guoyang Xie; Yawen Huang; Jiayi Lyu; Feng Zheng; Yefeng Zheng 001; Yaochu Jin (Neurocomputing, 2023)

Rethinking Unsupervised Outlier Detection via Multiple Thresholding. - Zhonghang Liu; Panzhong Lu; Guoyang Xie; Zhichao Lu; Wen-Yan Lin (ECCV (18), 2024)

Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning. - Hongze Zhu; Guoyang Xie; Chengbin Hou; Tao Dai 001; Can Gao; Jinbao Wang; Linlin Shen (ACM Multimedia, 2024)

ShadowMaskFormer: Mask Augmented Patch Embeddings for Shadow Removal. - Zhuohao Li; Guoyang Xie; Guannan Jiang; Zhichao Lu (CoRR, 2024)

AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion. - Jie Hu; Yawen Huang; Yilin Lu; Guoyang Xie; Guannan Jiang; Yefeng Zheng 001; Zhichao Lu (CoRR, 2024)

Towards Zero-shot Point Cloud Anomaly Detection: A Multi-View Projection Framework. - Yuqi Cheng; Yunkang Cao; Guoyang Xie; Zhichao Lu; Weiming Shen 001 (CoRR, 2024)

Deep Industrial Image Anomaly Detection: A Survey. - Jiaqi Liu 004; Guoyang Xie; Jin-Bao Wang; Shangnian Li; Chengjie Wang; Feng Zheng; Yaochu Jin (Mach. Intell. Res., 2024)

Cross-modality Neuroimage Synthesis: A Survey. - Guoyang Xie; Yawen Huang; Jin-Bao Wang; Jiayi Lyu; Feng Zheng; Yefeng Zheng 001; Yaochu Jin (ACM Comput. Surv., 2024)

IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing. - Guoyang Xie; Jinbao Wang; Jiaqi Liu 004; Jiayi Lyu; Yong Liu 032; Chengjie Wang; Feng Zheng; Yaochu Jin (IEEE Trans. Cybern., 2024)

Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection. - Hanzhe Liang; Guoyang Xie; Chengbin Hou; Bingshu Wang; Can Gao; Jinbao Wang (AAAI, 2025)

Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective. - Kaifang Long; Guoyang Xie; Lianbo Ma; Jiaqi Liu; Zhichao Lu (AAAI, 2025)

Enhancing Multimodal Learning via Hierarchical Fusion Architecture Search With Inconsistency Mitigation. - Kaifang Long; Guoyang Xie; Lianbo Ma; Qing Li 006; Min Huang 001; Jianhui Lv; Zhichao Lu (IEEE Trans. Image Process., 2025)

A Survey on Industrial Anomalies Synthesis. - Xichen Xu; Yanshu Wang; Yawen Huang; Jiaqi Liu; Xiaoning Lei; Guoyang Xie; Guannan Jiang; Zhichao Lu (CoRR, 2025)

Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning. - Lianbo Ma; Jianlun Ma; Yuee Zhou; Guoyang Xie; Qiang He; Zhichao Lu (CoRR, 2025)

Trade-offs in Image Generation: How Do Different Dimensions Interact? - Sicheng Zhang; Binzhu Xie; Zhonghao Yan; Yuli Zhang; Donghao Zhou; Xiaofei Chen; Shi Qiu; Jiaqi Liu; Guoyang Xie; Zhichao Lu (CoRR, 2025)

SARD: Segmentation-Aware Anomaly Synthesis via Region-Constrained Diffusion with Discriminative Mask Guidance. - Yanshu Wang; Xichen Xu; Xiaoning Lei; Guoyang Xie (CoRR, 2025)