📝 Publications

🎙 2023

• IEEE TKDE Channel Attention for Sensor-based Activity Recognition: Embedding Features into All Frequencies in DCT Domain, Xu S, Zhang L*, Tang Y, Han C, Wu H, Song A
• IEEE JBHI ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition, Cheng D, Zhang L*, Bu C, Wang X, Wu H, Song A
• IEEE TMC A Collaborative Compression Scheme for Fast Activity Recognition on Mobile Devices Via Global Compression Ratio Decision, Liang J, Zhang L*, Han C, Bu C, Wu H, Song A
• IEEE TIM An Efficient Diverse-branch Convolution Scheme for Sensor-Based Human Activity Recognition, Han C, Zhang L*, Xu S, Wang X, Wu H, Song A
• IEEE TNNLS Diversifying Collaborative Filtering via Graph Spreading Network and Selective Sampling, Y Fang, H Wu, Y Zhao, Zhang L*, S Qin, X Wang
• E KBS Modeling and predicting user preferences with multiple item attributes for sequential recommendations, L Xu, J Zeng, W Peng, H Wu, K Yue, H Ding, Zhang L*, X Wang
• IEEE TNSM Towards Effective Personalized Service QoS Prediction from the Perspective of Multi-Task Learning, H Lian, J Li, H Wu, Y Zhao, Zhang L*, X Wang

🎙 2022

• ACM TECS Deep ensemble learning for human activity recognition using wearable sensors via filter activation, W Huang, Zhang L*, S Wang, H Wu, A Song
• IEEE JBHI Dual-Branch Interactive Networks on Multichannel Time Series for Human Activity Recognition, Y Tang, Zhang L*, H Wu, J He, A Song
• IEEE TIM Understanding and improving channel attention for human activity recognition by temporal-aware and modality-aware embedding, C Han, Zhang L*, Y Tang, S Xu, F Min, H Wu, A Song
• E ESWA Human activity recognition using wearable sensors by heterogeneous convolutional neural networks, C Han, Zhang L*, Y Tang, W Huang, F Min, J He
• IEEE TII Keyword-Driven Service Recommendation via Deep Reinforced Steiner Tree Search, H Chen, H Wu, J Li, X Wang, Zhang L*
• IEEE TMC Channel-Equalization-HAR: a light-weight convolutional neural network for wearable sensor based human activity recognition, W Huang, Zhang L*, H Wu, F Min, A Song
• S Supercomputing A lightweight neural network framework using linear grouped convolution for human activity recognition on mobile devices, T Liu, S Wang, Y Liu, W Quan, Zhang L*
• IEEE TIE Multiscale deep feature learning for human activity recognition using wearable sensors, Y Tang, Zhang L*, F Min, J He
• IEEE TIM Deformable convolutional networks for multimodal human activity recognition using wearable sensors, S Xu, Zhang L*, W Huang, H Wu, A Song
• IEEE Sensors Real-time human activity recognition using conditionally parametrized convolutions on mobile and wearable devices, X Cheng, Zhang L*, Y Tang, Y Liu, H Wu, J He
• IEEE TETCI Triple cross-domain attention on human activity recognition using wearable sensors, Y Tang, Zhang L*, Q Teng, F Min, A Song

🎙 2021

• IEEE TIM Deep Convolutional Networks With Tunable Speed–Accuracy Tradeoff for Human Activity Recognition Using Wearables, X Wang, Zhang L*, W Huang, S Wang, H Wu, J He, A Song
• ASC DanHAR: Dual attention network for multimodal human activity recognition using wearable sensors, W Gao, Zhang L*, Q Teng, J He, H Wu
• IEEE TIM Deep neural networks for sensor-based human activity recognition using selective kernel convolution, W Gao, Zhang L*, W Huang, F Min, J He, A Song
• IEEE TSC Mashup-oriented web api recommendation via multi-model fusion and multi-task learning, H Wu, Y Duan, K Yue, Zhang L*
• IEEE JBHI The convolutional neural networks training with channel-selectivity for human activity recognition based on sensors, W Huang, Zhang L*, Q Teng, C Song, J He
• IEEE TIM Shallow convolutional neural networks for human activity recognition using wearable sensors, W Huang, Zhang L*, W Gao, F Min, J He
• IEEE THMS Sequential weakly labeled multiactivity localization and recognition on wearable sensors using recurrent attention networks, K Wang, J He, Zhang L*
• IEEE Sensors Block-wise training residual networks on multi-channel time series for human activity recognition, Q Teng, Zhang L*, Y Tang, S Song, X Wang, J He

🎙 2020

• IEEE Sensors Layer-wise training convolutional neural networks with smaller filters for human activity recognition using wearable sensors, Y Tang, Q Teng, Zhang L*, F Min, J He
• IEEE Sensors The layer-wise training convolutional neural networks using local loss for sensor-based human activity recognition, Q Teng, K Wang, Zhang L*, J He

🎙 Before 2020

• IEEE Sensors Attention-based convolutional neural network for weakly labeled human activities’ recognition with wearable sensors, K Wang, J He, Zhang L*
• IEEE GRSL Using diffusion geometric coordinates for hyperspectral imagery representation, J He, Zhang L, Q Wang, Z Li
• IET SP Adaptive stochastic gradient descent on the Grassmannian for robust low‐rank subspace recovery, J He, Y Zhang, Y Zhou, Zhang L
• PRE Effect of the correlation between internal noise and external noise on logical stochastic resonance in bistable systems, Zhang L*, W Zheng, F Xie, A Song
• PHYSA Realizing reliable logical stochastic resonance under colored noise by adding periodic force , Zhang L*, A Song
• Chaos Adaptive logical stochastic resonance in time-delayed synthetic genetic networks, Zhang L*, W Zheng, A Song
• PHYLETA Realizing reliable logic and memory function with noise-assisted Schmitt trigger circuits, Zhang L*, W Zheng, F Min, A Song
• PRE Effect of the correlation between internal noise and external noise on logical stochastic resonance in bistable systems, Zhang L*, W Zheng, F Xie, A Song