Shihao Song

According to our database1, Shihao Song authored at least 29 papers between 2019 and 2024.

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Bibliography

2024
An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition.
CoRR, 2024

2023
On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware.
IEEE Des. Test, April, 2023

Study on the Variation of the Maximum Temperature During Heating Process of a Resistance Heater.
Proceedings of the 29th International Conference on Mechatronics and Machine Vision in Practice, 2023

A Novel Variational Autoencoder with Multi-position Latent Self-attention and Actor-Critic for Recommendation.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Design-Technology Co-Optimization for NVM-Based Neuromorphic Processing Elements.
ACM Trans. Embed. Comput. Syst., November, 2022

Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware.
IEEE Trans. Parallel Distributed Syst., 2022

DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware.
ACM Trans. Embed. Comput. Syst., 2022

Moving Soon? Rearranging Furniture using Mixed Reality.
Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2022

2021
Dynamic Reliability Management in Neuromorphic Computing.
ACM J. Emerg. Technol. Comput. Syst., 2021

Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition.
IEEE Embed. Syst. Lett., 2021

Special Session: Reliability Analysis for ML/AI Hardware.
CoRR, 2021

Special Session: Reliability Analysis for AI/ML Hardware.
Proceedings of the 39th IEEE VLSI Test Symposium, 2021

Interactive Context-Aware Furniture Recommendation using Mixed Reality.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2021

NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks.
Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Design Technology Co-Optimization for Neuromorphic Computing.
Proceedings of the 12th International Green and Sustainable Computing Workshops, 2021

On the role of system software in energy management of neuromorphic computing.
Proceedings of the CF '21: Computing Frontiers Conference, 2021

Aging-Aware Request Scheduling for Non-Volatile Main Memory.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

Towards Automatic and Agile AI/ML Accelerator Design with End-to-End Synthesis.
Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021

Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping.
Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021

2020
A Case for Lifetime Reliability-Aware Neuromorphic Computing.
Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

Compiling Spiking Neural Networks to Neuromorphic Hardware.
Proceedings of the 21st ACM SIGPLAN/SIGBED International Conference on Languages, 2020

Improving phase change memory performance with data content aware access.
Proceedings of the ISMM '20: 2020 ACM SIGPLAN International Symposium on Memory Management, 2020

Exploiting inter- and intra-memory asymmetries for data mapping in hybrid tiered-memories.
Proceedings of the ISMM '20: 2020 ACM SIGPLAN International Symposium on Memory Management, 2020

Design Methodologies for Reliable and Energy-efficient PCM Systems.
Proceedings of the 11th International Green and Sustainable Computing Workshops, 2020

Improving Dependability of Neuromorphic Computing With Non-Volatile Memory.
Proceedings of the 16th European Dependable Computing Conference, 2020

2019
Enabling and Exploiting Partition-Level Parallelism (PALP) in Phase Change Memories.
ACM Trans. Embed. Comput. Syst., 2019

A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing.
IEEE Comput. Archit. Lett., 2019


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