WormGUIDES: an interactive single cell developmental atlas and tool for collaborative multidimensional data exploration. - Anthony Santella; Raúl Catena; Ismar Kovacevic; Pavak K. Shah; Zidong Yu; Javier Marquina-Solis; Abhishek Kumar; Yicong Wu; James C. Schaff; Daniel Colón-Ramos; Hari Shroff; William Mohler; et al. (BMC Bioinform., 2015)

SKND-TSACNN: A novel time-scale adaptive CNN framework for fault diagnosis of rotating machinery. - Zidong Yu; Changhe Zhang; Jie Liu; Chao Deng (Knowl. Based Syst., 2023)

An end-to-end lower limb activity recognition framework based on sEMG data augmentation and enhanced CapsNet. - Changhe Zhang; Yangan Li; Zidong Yu; Xiaolin Huang; Jiang Xu; Chao Deng (Expert Syst. Appl., 2023)

Exploration of Adaptive sEMG Denoising and Deep Learning Paradigms and Their Application in Lower Limb Motion Recognition. - Xiaoyun Wang; Changhe Zhang; Zidong Yu; Chao Deng (M2VIP, 2024)

End-to-End Hand Gesture Recognition Based on Dynamic Graph Topology Generating Mechanism and Weighted Graph Isomorphism Network. - Zidong Yu; Changhe Zhang; Xiaoyun Wang; Chao Deng (M2VIP, 2024)

Parallel Graph Neural Networks: Class-Imbalanced Gait Phase Recognition via Adaptive Fusion of Multimodal sEMG and Kinematic Data. - Changhe Zhang; Xiaoyun Wang; Zidong Yu; Chao Deng (M2VIP, 2024)

MEFP-Net: A Dual-Encoding Multi-Scale Edge Feature Perception Network for Skin Lesion Segmentation. - Shengnan Hao; Zidong Yu; Bao Zhang; Chenxu Dai; Zhu Fan; Zhanlin Ji; Ivan Ganchev (IEEE Access, 2024)

Decoding of lower limb continuous movement intention from multi-channel sEMG and design of adaptive exoskeleton controller. - Xiaoyun Wang; Changhe Zhang; Zidong Yu; Chao Deng (Biomed. Signal Process. Control., 2024)

Exploration of deep learning-driven multimodal information fusion frameworks and their application in lower limb motion recognition. - Changhe Zhang; Zidong Yu; Xiaoyun Wang; Ze-Jian Chen; Chao Deng; Sheng Quan Xie (Biomed. Signal Process. Control., 2024)

Dynamic graph topology generating mechanism: Framework for feature-level multimodal information fusion applied to lower-limb activity recognition. - Zidong Yu; Changhe Zhang; Xiaoyun Wang; Deng Chao; Yuan Liu; Zeyu Yu (Eng. Appl. Artif. Intell., 2024)

Interpretable Dual-branch EMGNet: A transfer learning-based network for inter-subject lower limb motion intention recognition. - Changhe Zhang; Xiaoyun Wang; Zidong Yu; Bingjin Wang; Chao Deng (Eng. Appl. Artif. Intell., 2024)

Temporal-constrained parallel graph neural networks for recognizing motion patterns and gait phases in class-imbalanced scenarios. - Changhe Zhang; Zidong Yu; Xiaoyun Wang; Ze-Jian Chen; Chao Deng (Eng. Appl. Artif. Intell., 2025)

Deciphering Urban Soundscapes: A study of sensory experiences at Hong Kong Victoria harbour waterfronts using social media. - Haotian Wang; Zidong Yu; Xintao Liu (Comput. Environ. Urban Syst., 2025)

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning. - Yuxin Fan; Yuxiang Wang; Lipeng Liu; Xirui Tang; Na Sun; Zidong Yu (CoRR, 2025)

Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion. - Jiacheng Hu; Tai An; Zidong Yu; Junliang Du; Yuanshuai Luo (CoRR, 2025)

Improving Harmful Text Detection with Joint Retrieval and External Knowledge. - Zidong Yu; Shuo Wang; Nan Jiang; Weiqiang Huang; Xu Han; Junliang Du (CoRR, 2025)

Lower limb Locomotion Mode Recognition based on sEMG: A pilot study in healthy individuals and stroke patients. - Changhe Zhang; Zidong Yu; Xiaoyun Wang; Ze-Jian Chen; Chao Deng (Biomed. Signal Process. Control., 2026)