Linjiang Zhou

According to our database, Linjiang Zhou authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

Robust Frame-Level Detection for Deepfake Videos With Lightweight Bayesian Inference Weighting.

Linjiang Zhou, Chao Ma, Zepeng Wang, Yixuan Zhang, Xiaochuan Shi, Libing Wu

IEEE Internet Things J., April, 2024

Rethinking the Principle of Gradient Smooth Methods in Model Explanation.

Linjiang Zhou, Chao Ma, Zepeng Wang, Xiaochuan Shi

CoRR, 2024

E²CFD: Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model.

Zepeng Wang, Chao Ma, Linjiang Zhou, Libing Wu, Lei Yang, Xiaochuan Shi, Guojun Peng

CoRR, 2024

Axiomatization of Gradient Smoothing in Neural Networks.

Linjiang Zhou, Xiaochuan Shi, Chao Ma, Zepeng Wang

CoRR, 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, Weiping Zhu

Proceedings of the Knowledge Science, Engineering and Management, 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, Weiping Zhu

Proceedings of the International Joint Conference on Neural Networks, 2024

2022

Points2Shapelets: A Salience-Guided Shapelets Selection Approach to Time Series Classification.

Guanxi Feng, Chao Ma, Linjiang Zhou, Libing Wu, Jingsheng Zhang, Xiaochuan Shi

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Salience-CAM: Visual Explanations from Convolutional Neural Networks via Salience Score.

Linjiang Zhou, Chao Ma, Xiaochuan Shi, Dian Zhang, Wei Li, Libing Wu

Proceedings of the International Joint Conference on Neural Networks, 2021