Efficient Parcel Damage Detection via Faster R-CNN: A Deep Learning Approach for Logistical Parcels' Automated Inspection. - Zhi Chen; Cuifeng Du; Quanlong Guan; Yuyu Zhou; Vichen Hoo; Xiujie Huang; Zhefu Li; Shuanghuan Lv; Xiaofeng Wu; Xiaotian Zhuang (MobiQuitous (2), 2023)

Exploiting the Potential Anomaly Detection in Automobile Safety Data with Multi-type Neural Network. - Quanlong Guan; Tian Zhang; Xiujie Huang; Yuansheng Zhong; Cuifeng Du; Changjiang Liu; Zhefu Li; Guanghui Zhang; Xiaofeng Wu; Zhifei Duan (MobiQuitous (1), 2023)

Enhanced Learning and Forgetting Behavior for Contextual Knowledge Tracing. - Mingzhi Chen; Kaiquan Bian; Yizhou He; Zhefu Li; Hua Zheng (Inf., 2023)

YTCNet: A Real-time Algorithm for Parcel Damage Detection with Rich Features and Attention. - Zhi Chen; Cuifeng Du; Yuyu Zhou; Haoxuan Guan; Xiujie Huang; Zhefu Li; Changjiang Liu; Xiaotian Zhuang; Xingyu Zhu 011; Quanlong Guan (CSCWD, 2024)

Deformation And Penetration Hybrid Detection-Net For Parcels Inspection In Industrial Supply Chain. - Zhi Chen; Cuifeng Du; Xiujie Huang; Zelong Lin; Yuyu Zhou; Quanlong Guan; Zhefu Li; Shuanghuan Lv; Xiaofeng Wu; Xiaotian Zhuang (ICASSP, 2024)

Transformer Model with Multi-Type Classification Decisions for Intrusion Attack Detection of Track Traffic and Vehicle. - Quanlong Guan; Tian Zhang; Yu Qin; Yuyu Zhou; Yangguang Zhu; Yuansheng Zhong; Xiujie Huang; Zhifei Duan; Zhefu Li; Changjiang Liu; Xiaofeng Wu (ICASSP, 2024)