Xiaozhe Gu

According to our database, Xiaozhe Gu authored at least 16 papers between 2014 and 2024.

Collaborative distances:

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

2024

Hierarchical Weight Averaging for Deep Neural Networks.

Xiaozhe Gu, Zixun Zhang, Yuncheng Jiang, Tao Luo, Ruimao Zhang, Shuguang Cui, Zhen Li

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Efficient Spiking Neural Networks With Radix Encoding.

Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Joey Tianyi Zhou, Tao Luo

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Progressively Relaxed Knowledge Distillation.

Xiaozhe Gu, Ran Jin, Mingliang Li

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Benchmarking Quantum(-Inspired) Annealing Hardware on Practical Use Cases.

Tian Huang, Jun Xu, Tao Luo, Xiaozhe Gu, Rick Siow Mong Goh, Weng-Fai Wong

IEEE Trans. Computers, June, 2023

Hierarchical Weight Averaging for Deep Neural Networks.

Xiaozhe Gu, Zixun Zhang, Yuncheng Jiang, Tao Luo, Ruimao Zhang, Shuguang Cui, Zhen Li

CoRR, 2023

2022

E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks With Emerging Neural Encoding on FPGAs.

Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo

IEEE Trans. Parallel Distributed Syst., 2022

Temperature Annealing Knowledge Distillation from Averaged Teacher.

Xiaozhe Gu, Zixun Zhang, Tao Luo

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding.

Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2019

Dynamic budget management and budget reclamation for mixed-criticality systems.

Xiaozhe Gu, Arvind Easwaran

Real Time Syst., 2019

Towards safe machine learning for CPS: infer uncertainty from training data.

Xiaozhe Gu, Arvind Easwaran

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

Xiaozhe Gu

PhD thesis, 2018

Efficient Schedulability Test for Dynamic-Priority Scheduling of Mixed-Criticality Real-Time Systems.

Xiaozhe Gu, Arvind Easwaran

ACM Trans. Embed. Comput. Syst., 2018

Design and Analysis for Dual Priority Scheduling.

Xiaozhe Gu, Arvind Easwaran, Risat Pathan

Proceedings of the 21st IEEE International Symposium on Real-Time Distributed Computing, 2018

2016

Dynamic Budget Management with Service Guarantees for Mixed-Criticality Systems.

Xiaozhe Gu, Arvind Easwaran

Proceedings of the 2016 IEEE Real-Time Systems Symposium, 2016

2015

Resource Efficient Isolation Mechanisms in Mixed-Criticality Scheduling.

Xiaozhe Gu, Arvind Easwaran, Kieu-My Phan, Insik Shin

Proceedings of the 27th Euromicro Conference on Real-Time Systems, 2015

2014

MC-Fluid: Fluid Model-Based Mixed-Criticality Scheduling on Multiprocessors.

Jaewoo Lee, Kieu-My Phan, Xiaozhe Gu, Jiyeon Lee, Arvind Easwaran, Insik Shin, Insup Lee

Proceedings of the IEEE 35th IEEE Real-Time Systems Symposium, 2014