Yida Zhu

According to our database, Yida Zhu authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

DMSTL: A Deep Multi-Scale Transfer Learning Framework for Unsupervised Cross-Position Human Activity Recognition.

Yida Zhu, Haiyong Luo, Song Guo, Fang Zhao

IEEE Internet Things J., 2023

C-AOI: Contour-based Instance Segmentation for High-Quality Areas-of-Interest in Online Food Delivery Platform.

Yida Zhu, Liying Chen, Daping Xiong, Shuiping Chen, Fangxiao Du, Jinghua Hao, Renqing He, Zhizhao Sun

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Design and Control of a Miniature Soft Robotic Fish Actuated by Artificial Muscles.

Moise Tsimbo, Yida Zhu, Yihan Yang, Erbao Dong

Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

Enhancing Transportation Mode Detection using Multi-scale Sensor Fusion and Spatial-topological Attention.

Runze Chen, Tao Ning, Yida Zhu, Song Guo, Haiyong Luo, Fang Zhao

Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

2022

MSCPT: Toward Cross-Place Transportation Mode Recognition Based on Multi-Sensor Neural Network Model.

Yida Zhu, Haiyong Luo, Runze Chen, Fang Zhao, Song Guo

IEEE Trans. Intell. Transp. Syst., 2022

MT-e&R: NMEA Protocol-Assisted High-Accuracy Navigation Algorithm Based on GNSS Error Estimation Using Multitask Learning.

Linfeng Bao, Haiyong Luo, Xile Gao, Bokun Ning, Fang Zhao, Yida Zhu

IEEE Trans. Intell. Transp. Syst., 2022

2021

Indoor/Outdoor Switching Detection Using Multisensor DenseNet and LSTM.

Yida Zhu, Haiyong Luo, Fang Zhao, Runze Chen

IEEE Internet Things J., 2021

Modeling Accurate Human Activity Recognition for Embedded Devices Using Multi-level Distillation.

Runze Chen, Haiyong Luo, Fang Zhao, Xuechun Meng, Zhiqing Xie, Yida Zhu

CoRR, 2021

Data Mining for Transportation Mode Recognition from Radio-data.

Yida Zhu, Haiyong Luo, Song Guo, Fang Zhao

Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

2020

DenseNetX and GRU for the sussex-huawei locomotion-transportation recognition challenge.

Yida Zhu, Haiyong Luo, Runze Chen, Fang Zhao, Lin Su

Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

2019

A Fast Indoor/Outdoor Transition Detection Algorithm Based on Machine Learning.

Yida Zhu, Haiyong Luo, Qu Wang, Fang Zhao, Bokun Ning, Qixue Ke, Chen Zhang

Sensors, 2019

Applying 1D sensor DenseNet to Sussex-Huawei locomotion-transportation recognition challenge.

Yida Zhu, Fang Zhao, Runze Chen

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019