Texture-AD: An Anomaly Detection Dataset and Benchmark for Real Algorithm Development. - Tianwu Lei; Bohan Wang; Silin Chen; Shurong Cao; Ningmu Zou (CoRR, 2024)

A Fast and Accurate Mapping Method for an OPGW Tower Based on Hybrid Distributed Optical Fiber Sensing. - Yuanyuan Yao 004; Ruofan Wang; Hao Ding; Shuai Tong; Yucheng Han; Shisong Zhao; Ningmu Zou; Fei Xiong; Yixin Zhang (Sensors, 2024)

When Transformer Meets Layout Hotspot: An End-to-End Transformer-based Detector with Prior Lithography. - Wenbo Xu; Silin Chen; Jiale Li; Kangjian Di; Yuxiang Fu; Ningmu Zou (ACM Great Lakes Symposium on VLSI, 2025)

Adapted-MoE: Mixture of Experts with Test-Time Adaption for Anomaly Detection. - Tianwu Lei; Silin Chen; Bohan Wang; Zhengkai Jiang 003; Ningmu Zou (ICIC (11), 2025)

Look Twice and Closer: A Coarse-to-Fine Segmentation Network for Small Objects in Remote Sensing Images. - Silin Chen; Qingzhong Wang; Kangjian Di; Haoyi Xiong; Ningmu Zou (IEEE Signal Process. Lett., 2025)

FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection. - Silin Chen; Kangjian Di; Yichu Xu; Han-Jia Ye; Wenhan Luo; Ningmu Zou (CoRR, 2025)