Shaofeng Zhao
Orcid: 0009-0005-2712-4753
According to our database1,
Shaofeng Zhao
authored at least 17 papers
between 2016 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Inf. Fusion, 2026
2025
UTI-LLM: A Personalized Articulatory-Speech Therapy Assistance System Based on Multimodal Large Language Model.
CoRR, September, 2025
LWCM: A Lookahead-Window Constrained Model for Disk Failure Prediction in Large Data Centers.
J. Comput. Sci. Technol., May, 2025
Erasing backdoor of deep neural networks using neural perturbation-based attention distillation.
Int. J. Model. Simul. Sci. Comput., 2025
2024
IEEE Trans. Consumer Electron., November, 2024
Proceedings of the Natural Language Processing and Chinese Computing, 2024
The Open-Access Mandarin Subacute Stroke Dysarthria Multimodal (MSDM) Database for Intelligent Assessment.
Proceedings of the 14th IEEE International Symposium on Chinese Spoken Language Processing, 2024
Optical Flow Guided Tongue Trajectory Generation for Diffusion-based Acoustic to Articulatory Inversion.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024
Cortico-muscular Information Transfer Based on fNIRS and sEMG During Gait Walking in the Elderly and Young Adults.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
2023
LayCO: Achieving Least Lossy Accuracy for Most Efficient RRAM-Based Deep Neural Network Accelerator via Layer-Centric Co-Optimization.
J. Comput. Sci. Technol., April, 2023
Modified multiscale transfer entropy analysis of intra- and inter-couplings of cardio-respiratory systems during meditation.
Biomed. Signal Process. Control., 2023
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
2022
A New Method for Predicting Severity Level of Dysarthric Speech Based on Joint Feature-Sample Selection using Audio-Visual Data.
Proceedings of the International Conference on Asian Language Processing, 2022
2021
Bridging the Gap Between Memory and Communication Efficiency on Distributed Deep Learning Systems.
IEEE Access, 2021
2020
GradSA: Gradient Sparsification and Accumulation for Communication-Efficient Distributed Deep Learning.
Proceedings of the Green, Pervasive, and Cloud Computing - 15th International Conference, 2020
2018
Layer-Centric Memory Reuse and Data Migration for Extreme-Scale Deep Learning on Many-Core Architectures.
ACM Trans. Archit. Code Optim., 2018
2016
Int. Arab J. Inf. Technol., 2016