Shuo Zhang

According to our database, Shuo Zhang authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

SimpleDiffusion: A Lightweight and Efficient Conditional Diffusion Model for Multi-Modal Salient Object Detection.

Shuo Zhang, Jiaming Huang, Wenbing Tang, Jing Liu, Li Han, Jiandun Li, Hongchun Yuan, Zizhu Fan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Seg-diffusion: Text-to-Image Diffusion Model for Open-Vocabulary Semantic Segmentation.

Shuo Zhang, Jiaming Huang, Yan Wu, Tao Hu, Wenbing Tang, Jing Liu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Multi-modal Salient Object Detection via a Unified Diffusion Model.

Shuo Zhang, Jiaming Huang, Wenbing Tang, Lili Tian, Yuang Wei, Jing Liu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection.

Shuo Zhang, Jiaming Huang, Wenbing Tang, Yan Wu, Terrence Hu, Xiaogang Xu, Jing Liu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

SOD-diffusion: Salient Object Detection via Diffusion-Based Image Generators.

Shuo Zhang, Jiaming Huang, Shizhe Chen, Yan Wu, Tao Hu, Jing Liu

Comput. Graph. Forum, October, 2024

Causal Fusion of Convolutional Neural Network and Vision Transformer for Image Anomaly Detection and Localization.

Shuo Zhang, Xiongpeng Hu, Jing Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

TranBF: Deep Transformer Networks and Bayesian Filtering for Time Series Anomalous Signal Detection in Cyber-physical Systems.

Shuo Zhang, Xiongpeng Hu, Jing Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Feature-Constrained and Attention-Conditioned Distillation Learning for Visual Anomaly Detection.

Shuo Zhang, Jing Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Anomalous Signal Detection for Cyber-Physical Systems Using Interpretable Causal Neural Network.

Shuo Zhang, Jing Liu

Proceedings of the IEEE International Conference on Acoustics, 2023