Xiaozhe Gu

28 papers A 3B 2C 1Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
EFKAN: A KAN-integrated neural operator for efficient magnetotelluric forward modeling.
Comput. Geosci.
Feng Wang, Hong Qiu, Yingying Huang, Xiaozhe Gu, Renfang Wang, Bo Yang
2026 J jnl
Privacy-preserving cloud-based dermatological image processing for medical applications: a review.
J. Cloud Comput.
Siyan Chen, Xueer Zhang, E. Liu, Yanjiao Xiong, Lin Wang, Xiaozhe Gu, Zhehui Wang, Jing Guo, Tao Luo
2025 J jnl
EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling.
CoRR
Feng Wang, Hong Qiu, Yingying Huang, Xiaozhe Gu, Renfang Wang, Bo Yang
2025 J jnl
Self-distillation with model averaging.
Inf. Sci.
Xiaozhe Gu, Zixun Zhang, Ran Jin, Rick Siow Mong Goh, Tao Luo
2024 J jnl
Efficient Spiking Neural Networks With Radix Encoding.
IEEE Trans. Neural Networks Learn. Syst.
Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Joey Tianyi Zhou, Tao Luo
2024 J jnl
Hierarchical Weight Averaging for Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Xiaozhe Gu, Zixun Zhang, Yuncheng Jiang, Tao Luo, Ruimao Zhang, Shuguang Cui, Zhen Li
2024 B conf
Progressively Relaxed Knowledge Distillation.
IJCNN
Xiaozhe Gu, Ran Jin, Mingliang Li
2023 J jnl
Benchmarking Quantum(-Inspired) Annealing Hardware on Practical Use Cases.
IEEE Trans. Computers
Tian Huang, Jun Xu, Tao Luo, Xiaozhe Gu, Rick Siow Mong Goh, Weng-Fai Wong
2023 J jnl
Hierarchical Weight Averaging for Deep Neural Networks.
CoRR
Xiaozhe Gu, Zixun Zhang, Yuncheng Jiang, Tao Luo, Ruimao Zhang, Shuguang Cui, Zhen Li
2022 A conf
A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding.
DATE
Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
2022 J jnl
A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding.
CoRR
Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
2022 J jnl
Benchmarking Quantum(-inspired) Annealing Hardware on Practical Use Cases.
CoRR
Tian Huang, Jun Xu, Tao Luo, Xiaozhe Gu, Rick Siow Mong Goh, Weng-Fai Wong
2022 J jnl
E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks With Emerging Neural Encoding on FPGAs.
IEEE Trans. Parallel Distributed Syst.
Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
2022 — conf
Temperature Annealing Knowledge Distillation from Averaged Teacher.
ICDCS Workshops
Xiaozhe Gu, Zixun Zhang, Tao Luo
2021 J jnl
E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs.
CoRR
Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
2021 J jnl
Efficient Spiking Neural Networks with Radix Encoding.
CoRR
Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Joey Tianyi Zhou, Tao Luo
2020 J jnl
Dynamic Budget Management with Service Guarantees for Mixed-Criticality Systems.
CoRR
Xiaozhe Gu, Arvind Easwaran
2020 J jnl
Efficient Schedulability Test for Dynamic-Priority Scheduling of Mixed-Criticality Real-Time Systems.
CoRR
Xiaozhe Gu, Arvind Easwaran
2020 J jnl
Resource Efficient Isolation Mechanisms in Mixed-Criticality Scheduling.
CoRR
Xiaozhe Gu, Arvind Easwaran, Kieu-My Phan, Insik Shin
2019 J jnl
Dynamic budget management and budget reclamation for mixed-criticality systems.
Real Time Syst.
Xiaozhe Gu, Arvind Easwaran
2019 J jnl
Towards Safe Machine Learning for CPS: Infer Uncertainty from Training Data.
CoRR
Xiaozhe Gu, Arvind Easwaran
2019 — conf
Towards safe machine learning for CPS: infer uncertainty from training data.
ICCPS
Xiaozhe Gu, Arvind Easwaran
2018 C conf
Design and Analysis for Dual Priority Scheduling.
ISORC
Xiaozhe Gu, Arvind Easwaran, Risat Pathan
2018 J jnl
Efficient Schedulability Test for Dynamic-Priority Scheduling of Mixed-Criticality Real-Time Systems.
ACM Trans. Embed. Comput. Syst.
Xiaozhe Gu, Arvind Easwaran
2018 — —
Schedulability analysis and low-criticality execution support for mixed-criticality real-time systems on uniprocessors
Xiaozhe Gu
2016 A conf
Dynamic Budget Management with Service Guarantees for Mixed-Criticality Systems.
RTSS
Xiaozhe Gu, Arvind Easwaran
2015 B conf
Resource Efficient Isolation Mechanisms in Mixed-Criticality Scheduling.
ECRTS
Xiaozhe Gu, Arvind Easwaran, Kieu-My Phan, Insik Shin
2014 A conf
MC-Fluid: Fluid Model-Based Mixed-Criticality Scheduling on Multiprocessors.
RTSS
Jaewoo Lee, Kieu-My Phan, Xiaozhe Gu, Jiyeon Lee, Arvind Easwaran, Insik Shin, Insup Lee