Xiaozhe Gu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 20

Top Topics

Biologically Inspired

Priority Scheduling

Training Instances

Top Venues

ACM Trans. Embed. Comput. Syst.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Joey Tianyi Zhou, Tao Luo
Efficient Spiking Neural Networks With Radix Encoding. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Tian Huang, Jun Xu, Tao Luo, Xiaozhe Gu, Rick Siow Mong Goh, Weng-Fai Wong
Benchmarking Quantum(-Inspired) Annealing Hardware on Practical Use Cases. IEEE Trans. Computers 72 (6) (2023)
Xiaozhe Gu, Zixun Zhang, Yuncheng Jiang, Tao Luo, Ruimao Zhang, Shuguang Cui, Zhen Li
Hierarchical Weight Averaging for Deep Neural Networks. CoRR (2023)
Xiaozhe Gu, Zixun Zhang, Tao Luo
Temperature Annealing Knowledge Distillation from Averaged Teacher. ICDCS Workshops (2022)
Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks With Emerging Neural Encoding on FPGAs. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding. DATE (2022)
Tian Huang, Jun Xu, Tao Luo, Xiaozhe Gu, Rick Siow Mong Goh, Weng-Fai Wong
Benchmarking Quantum(-inspired) Annealing Hardware on Practical Use Cases. CoRR (2022)
Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding. CoRR (2022)
Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs. CoRR (2021)
Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Joey Tianyi Zhou, Tao Luo
Efficient Spiking Neural Networks with Radix Encoding. CoRR (2021)
Xiaozhe Gu, Arvind Easwaran, Kieu-My Phan, Insik Shin
Resource Efficient Isolation Mechanisms in Mixed-Criticality Scheduling. CoRR (2020)
Xiaozhe Gu, Arvind Easwaran
Efficient Schedulability Test for Dynamic-Priority Scheduling of Mixed-Criticality Real-Time Systems. CoRR (2020)
Xiaozhe Gu, Arvind Easwaran
Dynamic Budget Management with Service Guarantees for Mixed-Criticality Systems. CoRR (2020)
Xiaozhe Gu, Arvind Easwaran
Towards safe machine learning for CPS: infer uncertainty from training data. ICCPS (2019)
Xiaozhe Gu, Arvind Easwaran
Dynamic budget management and budget reclamation for mixed-criticality systems. Real Time Syst. 55 (3) (2019)
Xiaozhe Gu, Arvind Easwaran
Towards Safe Machine Learning for CPS: Infer Uncertainty from Training Data. CoRR (2019)
Xiaozhe Gu, Arvind Easwaran, Risat Pathan
Design and Analysis for Dual Priority Scheduling. ISORC (2018)
Xiaozhe Gu, Arvind Easwaran
Efficient Schedulability Test for Dynamic-Priority Scheduling of Mixed-Criticality Real-Time Systems. ACM Trans. Embed. Comput. Syst. 17 (1) (2018)
Xiaozhe Gu, Arvind Easwaran
Dynamic Budget Management with Service Guarantees for Mixed-Criticality Systems. RTSS (2016)
Xiaozhe Gu, Arvind Easwaran, Kieu-My Phan, Insik Shin
Resource Efficient Isolation Mechanisms in Mixed-Criticality Scheduling. ECRTS (2015)
Jaewoo Lee, Kieu-My Phan, Xiaozhe Gu, Jiyeon Lee, Arvind Easwaran, Insik Shin, Insup Lee
MC-Fluid: Fluid Model-Based Mixed-Criticality Scheduling on Multiprocessors. RTSS (2014)