Zheng Hu

Orcid: 0000-0002-3526-0297

Affiliations:
  • Huawei Technologies Co., Ltd, Shenzhen, Guangdong Province, China
  • Lyon University, France (PhD)


According to our database1, Zheng Hu authored at least 10 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Multi-Class Imbalance Classification Based on Data Distribution and Adaptive Weights.
IEEE Trans. Knowl. Data Eng., October, 2024

Proactive Drive Failure Prediction for Cloud Storage System Through Semi-Supervised Learning.
IEEE Trans. Dependable Secur. Comput., 2024

SSDC: A Scalable Sparse Differential Checkpoint for Large-scale Deep Recommendation Models.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2023
A robust online extrinsic calibration method for GNSS-RTK and IMU system and vehicle setups.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, ISSRE 2023, 2023

Runtime operational design domain monitoring of static road geometry for automated vehicles.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, ISSRE 2023, 2023

DistSim: A performance model of large-scale hybrid distributed DNN training.
Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

2021
A Proactive Failure Tolerant Mechanism for SSDs Storage Systems based on Unsupervised Learning.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

Methods for deep learning model failure detection and model adaption: A survey.
Proceedings of the IEEE International Symposium on Software Reliability Engineering, 2021

Adaptive Retraining for Neural Network Robustness in Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
CRATOS: Cognition of Reliable Algorithm for Time-series Optimal Solution.
Proceedings of the ESSE 2020: 2020 European Symposium on Software Engineering, 2020


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