A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data. - Fuqiang Yu; Lizhen Cui; Wei Guo 017; Xudong Lu; Qingzhong Li; Hua Lu 001 (WWW, 2020)

Parameter Optimization and Vibration Isolation Control of a Mobile Parallel Robot. - Shuzhan Shentu; Xin-Jun Liu; Fugui Xie; Zhao Gong; Fuqiang Yu; Hongxi Cui (ICIRA (3), 2021)

KdINet: Knowledge-driven Interpretable Network for Medical Imaging Diagnosis. - Yiming Cao; Lizhen Cui; Lei Zhang 199; Fuqiang Yu; Zhen Li 049; Yonghui Xu; Chunyan Miao (BIBM, 2022)

Feature-Guided Logical Perception Network for Health Risk Prediction. - Fuqiang Yu; Lizhen Cui; Yiming Cao; Fanglin Zhu; Yonghui Xu; Ning Liu 014 (BIBM, 2022)

Temporal Hypergraph for Personalized Clinical Pathway Recommendation. - Fanglin Zhu; Shunyu Chen; Yonghui Xu; Wei He 020; Fuqiang Yu; Xu Zhang; Lizhen Cui (BIBM, 2022)

KdTNet: Medical Image Report Generation via Knowledge-Driven Transformer. - Yiming Cao; Lizhen Cui; Fuqiang Yu; Lei Zhang 199; Zhen Li 049; Ning Liu 014; Yonghui Xu (DASFAA (3), 2022)

Similarity-Aware Collaborative Learning for Patient Outcome Prediction. - Fuqiang Yu; Lizhen Cui; Yiming Cao; Ning Liu 014; Weiming Huang 001; Yonghui Xu (DASFAA (2), 2022)

Cherry Hypothesis: Identifying the Cherry on the Cake for Dynamic Networks. - Shwai He; Liang Ding 006; Daize Dong; Boan Liu; Fuqiang Yu; Dacheng Tao (CoRR, 2022)

MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation. - Yiming Cao; Lizhen Cui; Lei Zhang 199; Fuqiang Yu; Zhen Li 049; Yonghui Xu (AAAI, 2023)

PAD-Net: An Efficient Framework for Dynamic Networks. - Shwai He; Liang Ding 006; Daize Dong; Boan Liu; Fuqiang Yu; Dacheng Tao (ACL (1), 2023)

CMT: Cross-modal Memory Transformer for Medical Image Report Generation. - Yiming Cao; Lizhen Cui; Lei Zhang 199; Fuqiang Yu; Ziheng Cheng; Zhen Li 049; Yonghui Xu; Chunyan Miao (DASFAA (3), 2023)

Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation. - Yixin Zhang; Yong Liu 020; Hao Xiong; Yi Liu 057; Fuqiang Yu; Wei He 020; Yonghui Xu; Lizhen Cui; Chunyan Miao (ICDE, 2023)

GAITMM: Multi-Granularity Motion Sequence Learning for Gait Recognition. - Lei Wang 193; Bo Liu; Bincheng Wang; Fuqiang Yu (ICIP, 2023)

HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion. - Fuqiang Yu; Lizhen Cui; Huanhuan Chen; Yiming Cao; Ning Liu 014; Weiming Huang 001; Yonghui Xu; Hua Lu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multi-Interest Granularity Guided Semi-Joint Learning for N-Successive POI Recommendation. - Fuqiang Yu; Fenghua Tong; Dawei Zhao 001; Lijuan Xu 001; Ning Liu (DASFAA (2), 2024)

Addressing Concept Drift in IoT Anomaly Detection: Drift Detection, Interpretation, and Adaptation. - Lijuan Xu 001; Ziyu Han; Dawei Zhao 001; Xin Li 002; Fuqiang Yu; Chuan Chen (IEEE Trans. Sustain. Comput., 2024)

Multi-Level Privacy Preserving Scheme for Visual IoT Data Based on Compressive Sensing. - Dawei Zhao 001; Le Ju; Fenghua Tong; Fuqiang Yu; Xin Li 002 (CSCWD, 2025)

DCCT-Net: A Network Combined Dynamic CNN and Transformer for Image Compressive Sensing. - Lijuan Xu 001; Haixiao Mei; Fenghua Tong; Dawei Zhao 001; Fuqiang Yu (ICASSP, 2025)

G-VAE: Variational autoencoder-based adversarial attacks and defenses in industrial control systems. - Lijuan Xu; Zhi Yang; Dawei Zhao; Fuqiang Yu; Yang Zhou; Hu Zhang (Comput. Electr. Eng., 2025)

Dynamic malware detection based on supervised contrastive learning. - Shumian Yang; Yongqi Yang; Dawei Zhao 001; Lijuan Xu 001; Xin Li 002; Fuqiang Yu; Jiarui Hu 007 (Comput. Electr. Eng., 2025)