Dongzhou Cheng

Orcid: 0000-0003-1575-6292

According to our database1, Dongzhou Cheng authored at least 14 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2025
Learning Sensor Sample-Reweighting for Dynamic Early-Exit Activity Recognition Via Meta Learning.
IEEE J. Biomed. Health Informatics, June, 2025

Deconfounding Causal Inference through Two-branch Framework with Early-forking for Sensor-based Cross-domain Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., June, 2025

WaveHAR: Learning Wavelet Representation for Wearable Human Activity Recognition.
IEEE Trans. Instrum. Meas., 2025

Long kernel distillation in human activity recognition.
Knowl. Based Syst., 2025

Ensemble early exit network on human activity recognition using wearable sensors.
Comput. Networks, 2025

2024
Towards Better Accuracy-Efficiency Trade-Offs: Dynamic Activity Inference via Collaborative Learning From Various Width-Resolution Configurations.
IEEE Trans. Artif. Intell., December, 2024

MaskCAE: Masked Convolutional AutoEncoder via Sensor Data Reconstruction for Self-Supervised Human Activity Recognition.
IEEE J. Biomed. Health Informatics, May, 2024

An automatic network structure search via channel pruning for accelerating human activity inference on mobile devices.
Expert Syst. Appl., March, 2024

A General Multistage Deep Learning Framework for Sensor-Based Human Activity Recognition Under Bounded Computational Budget.
IEEE Trans. Instrum. Meas., 2024

Learn From Others and Be Yourself in Federated Human Activity Recognition via Attention-Based Pairwise Collaborations.
IEEE Trans. Instrum. Meas., 2024

Dynamic instance-aware layer-bit-select network on human activity recognition using wearable sensors.
Eng. Appl. Artif. Intell., 2024

A sparse diverse-branch large kernel convolutional neural network for human activity recognition using wearables.
Appl. Soft Comput., 2024

2023
ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition.
IEEE J. Biomed. Health Informatics, August, 2023

Learning hierarchical time series data augmentation invariances via contrastive supervision for human activity recognition.
Knowl. Based Syst., 2023


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