Ensemble of Multiple Anomalous Sound Detectors. - Yufeng Deng; Anbai Jiang; Yuchen Duan; Jitao Ma; Xuchu Chen; Jia Liu 001; Pingyi Fan; Cheng Lu 007; Wei-Qiang Zhang 001 (DCASE, 2022)

BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly Detection. - Jitao Ma; Weiying Xie; Yunsong Li 001; Leyuan Fang (CoRR, 2023)

JointSQ: Joint Sparsification-Quantization for Distributed Learning. - Weiying Xie; Haowei Li; Jitao Ma; Yunsong Li 001; Jie Lei 001; Donglai Liu; Leyuan Fang (CVPR, 2024)

FedSLS: Exploring Federated Aggregation in Saliency Latent Space. - Hengyi Wang; Weiying Xie; Jitao Ma; Daixun Li; Yunsong Li 001 (ACM Multimedia, 2024)

Adaptive Pruning of Channel Spatial Dependability in Convolutional Neural Networks. - Weiying Xie; Mei Yuan; Jitao Ma; Yunsong Li 001 (ACM Multimedia, 2024)

FedFQ: Federated Learning with Fine-Grained Quantization. - Haowei Li; Weiying Xie; Hangyu Ye; Jitao Ma; Shuran Ma; Yunsong Li 001 (CoRR, 2024)

Towards Efficient Model-Heterogeneity Federated Learning for Large Models. - Ruofan Jia; Weiying Xie; Jie Lei 001; Haonan Qin; Jitao Ma; Leyuan Fang (CoRR, 2024)

RS-DGC: Exploring Neighborhood Statistics for Dynamic Gradient Compression on Remote Sensing Image Interpretation. - Weiying Xie; Zixuan Wang; Jitao Ma; Daixun Li; Yunsong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

A graphic structure based branch-and-bound algorithm for complex quadratic optimization and applications to magnitude least-square problem. - Cheng Lu 007; Jitao Ma; Zhibin Deng; Wenxun Xing (J. Glob. Optim., 2024)

Aligning and Prompting Anything for Zero-Shot Generalized Anomaly Detection. - Jitao Ma; Weiying Xie; Hangyu Ye; Daixun Li; Leyuan Fang (AAAI, 2025)

Exploring hyperspectral anomaly detection with human vision: A small target aware detector. - Jitao Ma; Weiying Xie; Yunsong Li 001 (Neural Networks, 2025)

Distributed Deep Learning With Gradient Compression for Big Remote Sensing Image Interpretation. - Weiying Xie; Jitao Ma; Tianen Lu; Yunsong Li 001; Jie Lei 001; Leyuan Fang; Qian Du 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)