Salience-CAM: Visual Explanations from Convolutional Neural Networks via Salience Score. - Linjiang Zhou; Chao Ma 008; Xiaochuan Shi; Dian Zhang; Wei Li 121; Libing Wu (IJCNN, 2021)

Points2Shapelets: A Salience-Guided Shapelets Selection Approach to Time Series Classification. - Guanxi Feng; Chao Ma 008; Linjiang Zhou; Libing Wu; Jingsheng Zhang; Xiaochuan Shi (IJCNN, 2022)

AdaDiffAD: Adaptively Segmenting Diffusion Models for Time Series Anomaly Detection in Dynamic JointCloud Environment. - Chao Ma; Lin Yi; Linjiang Zhou; Zepeng Wang; Xiaochuan Shi; Weiping Zhu (ICPADS, 2024)

ProDiffAD: Progressively Distilled Diffusion Models for Multivariate Time Series Anomaly Detection in JointCloud Environment. - Fuqiang Tian; Xiaochuan Shi; Linjiang Zhou; Lanlan Chen; Chao Ma 008; Weiping Zhu 004 (IJCNN, 2024)

Dynamic Splitting of Diffusion Models for Multivariate Time Series Anomaly Detection in a JointCloud Environment. - Lanlan Chen; Xiaochuan Shi; Linjiang Zhou; Yilei Wang; Chao Ma 008; Weiping Zhu 004 (KSEM (3), 2024)

Axiomatization of Gradient Smoothing in Neural Networks. - Linjiang Zhou; Xiaochuan Shi; Chao Ma 008; Zepeng Wang (CoRR, 2024)

E2CFD: Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model. - Zepeng Wang; Chao Ma 008; Linjiang Zhou; Libing Wu; Lei Yang 024; Xiaochuan Shi; Guojun Peng (CoRR, 2024)

Rethinking the Principle of Gradient Smooth Methods in Model Explanation. - Linjiang Zhou; Chao Ma 008; Zepeng Wang; Xiaochuan Shi (CoRR, 2024)

Robust Frame-Level Detection for Deepfake Videos With Lightweight Bayesian Inference Weighting. - Linjiang Zhou; Chao Ma 008; Zepeng Wang; Yixuan Zhang; Xiaochuan Shi; Libing Wu (IEEE Internet Things J., 2024)

MDSAM:Memory-Driven Sparse Attention Matrix for LVLMs Hallucination Mitigation. - Shuaiye Lu; Linjiang Zhou; Xiaochuan Shi (CoRR, 2025)