Anomalous Signal Detection for Cyber-Physical Systems Using Interpretable Causal Neural Network. - Shuo Zhang 013; Jing Liu 012 (ICASSP, 2023)

Feature-Constrained and Attention-Conditioned Distillation Learning for Visual Anomaly Detection. - Shuo Zhang 013; Jing Liu 012 (ICASSP, 2024)

TranBF: Deep Transformer Networks and Bayesian Filtering for Time Series Anomalous Signal Detection in Cyber-physical Systems. - Shuo Zhang 013; Xiongpeng Hu; Jing Liu 012 (ICME, 2024)

Causal Fusion of Convolutional Neural Network and Vision Transformer for Image Anomaly Detection and Localization. - Shuo Zhang 013; Xiongpeng Hu; Jing Liu 012 (ICME, 2024)

SOD-diffusion: Salient Object Detection via Diffusion-Based Image Generators. - Shuo Zhang 013; Jiaming Huang; Shizhe Chen; Yan Wu; Tao Hu; Jing Liu 012 (Comput. Graph. Forum, 2024)

DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection. - Shuo Zhang 013; Jiaming Huang; Wenbing Tang 001; Yan Wu; Terrence Hu; Xiaogang Xu 002; Jing Liu 012 (AAAI, 2025)

Multi-modal Salient Object Detection via a Unified Diffusion Model. - Shuo Zhang 013; Jiaming Huang; Wenbing Tang 001; Lili Tian; Yuang Wei; Jing Liu 012 (ICASSP, 2025)

Seg-diffusion: Text-to-Image Diffusion Model for Open-Vocabulary Semantic Segmentation. - Shuo Zhang 013; Jiaming Huang; Yan Wu; Tao Hu; Wenbing Tang 001; Jing Liu 012 (ICASSP, 2025)