Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization. - Weijia Zhang 001; Xuanhui Zhang; Hanwen Deng; Min-Ling Zhang (NeurIPS, 2022)

Towards Learning Causal Representations from Multi-Instance Bags. - Weijia Zhang 001; Xuanhui Zhang; Hanwen Deng; Min-Ling Zhang (CoRR, 2022)

Rethinking the Value of Labels for Instance-Dependent Label Noise Learning. - Hanwen Deng; Weijia Zhang 001; Min-Ling Zhang (CoRR, 2023)

A multi-modal driver emotion dataset and study: Including facial expressions and synchronized physiological signals. - Guoliang Xiang; Song Yao; Hanwen Deng; Xianhui Wu; Xinghua Wang; Qian Xu; Tianjian Yu; Kui Wang; Yong Peng (Eng. Appl. Artif. Intell., 2024)

Privacy-Preserving Authentication Based on PUF for VANETs. - Lihui Li; Hanwen Deng; Zhongyi Zhai; Sheng-Lung Peng (Future Internet, 2024)

A Multi-Source Fusion Approach for Driver Fatigue Detection Using Physiological Signals and Facial Image. - Yong Peng 002; Hanwen Deng; Guoliang Xiang; Xianhui Wu; Xizhuo Yu; Yingli Li; Tianjian Yu (IEEE Trans. Intell. Transp. Syst., 2024)

Driver multi-task emotion recognition network based on multi-modal facial video analysis. - Guoliang Xiang; Song Yao; Xianhui Wu; Hanwen Deng; Guojie Wang; Yu Liu; Fan Li; Yong Peng (Pattern Recognit., 2025)

X-ray security inspection for real-world rail transit hubs: a wide-ranging dataset and detection model with incremental learning block. - Xizhuo Yu; Chaojie Fan; Jiandong Pan; Guoliang Xiang; Chunyang Chen 002; Tianjian Yu; Yong Peng 002; Hanwen Deng (Vis. Comput., 2025)