Xiaozhe Gu

Orcid: 0000-0001-7948-7672

According to our database1, Xiaozhe Gu authored at least 14 papers between 2014 and 2024.

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

Timeline

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PhD thesis 
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Bibliography

2024
Efficient Spiking Neural Networks With Radix Encoding.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

2023
Benchmarking Quantum(-Inspired) Annealing Hardware on Practical Use Cases.
IEEE Trans. Computers, June, 2023

Hierarchical Weight Averaging for Deep Neural Networks.
CoRR, 2023

2022
E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks With Emerging Neural Encoding on FPGAs.
IEEE Trans. Parallel Distributed Syst., 2022

Temperature Annealing Knowledge Distillation from Averaged Teacher.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2019
Dynamic budget management and budget reclamation for mixed-criticality systems.
Real Time Syst., 2019

Towards safe machine learning for CPS: infer uncertainty from training data.
Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, 2019

2018
Schedulability analysis and low-criticality execution support for mixed-criticality real-time systems on uniprocessors
PhD thesis, 2018

Efficient Schedulability Test for Dynamic-Priority Scheduling of Mixed-Criticality Real-Time Systems.
ACM Trans. Embed. Comput. Syst., 2018

Design and Analysis for Dual Priority Scheduling.
Proceedings of the 21st IEEE International Symposium on Real-Time Distributed Computing, 2018

2016
Dynamic Budget Management with Service Guarantees for Mixed-Criticality Systems.
Proceedings of the 2016 IEEE Real-Time Systems Symposium, 2016

2015
Resource Efficient Isolation Mechanisms in Mixed-Criticality Scheduling.
Proceedings of the 27th Euromicro Conference on Real-Time Systems, 2015

2014
MC-Fluid: Fluid Model-Based Mixed-Criticality Scheduling on Multiprocessors.
Proceedings of the IEEE 35th IEEE Real-Time Systems Symposium, 2014


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