Shihao Song

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 51

Top Topics

Biologically Inspired

Reliability Analysis

Spiking Neural Networks

Top Venues

ACM Trans. Embed. Comput. Syst.

Publications

Shihao Song, Li Pan, Shijun Liu
A Q-learning based auto-scaling approach for provisioning big data analysis services in cloud environments. Future Gener. Comput. Syst. 154 (2024)
Yizhang Xia, Shihao Song, Zhanglu Hou, Junwen Xu, Juan Zou, Yuan Liu, Shengxiang Yang
An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition. CoRR (2024)
Tianhong Gao, Daoerji Fan, Huijuan Wu, Xiangzhong Chen, Shihao Song, Yuxin Sun, Jia Tian
Research on the Vision-Based Dairy Cow Ear Tag Recognition Method. Sensors 24 (7) (2024)
Ankita Paul, Shihao Song, Twisha Titirsha, Anup Das
On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware. IEEE Des. Test 40 (2) (2023)
Jiamei Feng, Mengchi Liu, Song Hong, Shihao Song
A Novel Variational Autoencoder with Multi-position Latent Self-attention and Actor-Critic for Recommendation. ADMA (1) (2023)
Zonglai Mo, Shihao Song, Jili Wang, Congyue Zhang, Zhuangzhang Li, Yue Zhou, Yuanjie Liang, Jun Li
Study on the Variation of the Maximum Temperature During Heating Process of a Resistance Heater. M2VIP (2023)
Shihao Song, Harry Chong, Adarsha Balaji, Anup Das, James A. Shackleford, Nagarajan Kandasamy
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware. ACM Trans. Embed. Comput. Syst. 21 (3) (2022)
Shihao Song, Yujia Wang, Wei Liang, Xiangyuan Li
Moving Soon? Rearranging Furniture using Mixed Reality. VR Workshops (2022)
Ankita Paul, Shihao Song, Twisha Titirsha, Anup Das
On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware. CoRR (2022)
Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy
Design-Technology Co-Optimization for NVM-Based Neuromorphic Processing Elements. ACM Trans. Embed. Comput. Syst. 21 (6) (2022)
Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy
Design-Technology Co-Optimization for NVM-based Neuromorphic Processing Elements. CoRR (2022)
Twisha Titirsha, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware. IEEE Trans. Parallel Distributed Syst. 33 (2) (2022)
Hongfei Yu, Wei Liang, Shihao Song, Bing Ning, Yixin Zhu
Interactive Context-Aware Furniture Recommendation using Mixed Reality. VR Workshops (2021)
Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin
Special Session: Reliability Analysis for ML/AI Hardware. CoRR (2021)
Shihao Song, Twisha Titirsha, Anup Das
Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping. CoRR (2021)
Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das
On the role of system software in energy management of neuromorphic computing. CF (2021)
Shihao Song, Harry Chong, Adarsha Balaji, Anup Das, James A. Shackleford, Nagarajan Kandasamy
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware. CoRR (2021)
Ankita Paul, Shihao Song, Anup Das
Design Technology Co-Optimization for Neuromorphic Computing. CoRR (2021)
Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. ICONS (2021)
Shihao Song, M. Lakshmi Varshika, Anup Das, Nagarajan Kandasamy
A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware. ICCAD (2021)
Adarsha Balaji, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition. IEEE Embed. Syst. Lett. 13 (3) (2021)
Jeff Jun Zhang, Nicolas Bohm Agostini, Shihao Song, Cheng Tan, Ankur Limaye, Vinay Amatya, Joseph B. Manzano, Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Gu-Yeon Wei, David Brooks
Towards Automatic and Agile AI/ML Accelerator Design with End-to-End Synthesis. ASAP (2021)
Serena Curzel, Nicolas Bohm Agostini, Shihao Song, Ismet Dagli, Ankur Limaye, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Vinay Amatya, Joseph B. Manzano, Anup Das, Fabrizio Ferrandi, Antonino Tumeo
Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators. ICCAD (2021)
Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das
On the Role of System Software in Energy Management of Neuromorphic Computing. CoRR (2021)
Ankita Paul, Shihao Song, Anup Das
Design Technology Co-Optimization for Neuromorphic Computing. IGSC (2021)
Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. CoRR (2021)
Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor
Dynamic Reliability Management in Neuromorphic Computing. CoRR (2021)
Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor
Dynamic Reliability Management in Neuromorphic Computing. ACM J. Emerg. Technol. Comput. Syst. 17 (4) (2021)
Twisha Titirsha, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware. CoRR (2021)
Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy
Aging-Aware Request Scheduling for Non-Volatile Main Memory. ASP-DAC (2021)
Shihao Song, Twisha Titirsha, Anup Das
Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping. ASAP (2021)
Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin
Special Session: Reliability Analysis for AI/ML Hardware. VTS (2021)
Shihao Song, M. Lakshmi Varshika, Anup Das, Nagarajan Kandasamy
A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware. CoRR (2021)
Shihao Song, Anup Das
Design Methodologies for Reliable and Energy-efficient PCM Systems. CoRR (2020)
Shihao Song, Anup Das, Nagarajan Kandasamy
Improving Dependability of Neuromorphic Computing With Non-Volatile Memory. CoRR (2020)
Shihao Song, Anup Das, Nagarajan Kandasamy
Exploiting Inter- and Intra-Memory Asymmetries for Data Mapping in Hybrid Tiered-Memories. CoRR (2020)
Shihao Song, Anup Das, Nagarajan Kandasamy
Improving Dependability of Neuromorphic Computing With Non-Volatile Memory. EDCC (2020)
Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James A. Shackleford
Compiling Spiking Neural Networks to Neuromorphic Hardware. CoRR (2020)
Shihao Song, Anup Das
A Case for Lifetime Reliability-Aware Neuromorphic Computing. MWSCAS (2020)
Adarsha Balaji, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition. CoRR (2020)
Shihao Song, Anup Das
A Case for Lifetime Reliability-Aware Neuromorphic Computing. CoRR (2020)
Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy
Improving phase change memory performance with data content aware access. ISMM (2020)
Shihao Song, Anup Das, Nagarajan Kandasamy
Exploiting inter- and intra-memory asymmetries for data mapping in hybrid tiered-memories. ISMM (2020)
Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy
Improving Phase Change Memory Performance with Data Content Aware Access. CoRR (2020)
Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James A. Shackleford
Compiling Spiking Neural Networks to Neuromorphic Hardware. LCTES (2020)
Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy
Aging-Aware Request Scheduling for Non-Volatile Main Memory. CoRR (2020)
Shihao Song, Anup Das
Design Methodologies for Reliable and Energy-efficient PCM Systems. IGSC (Workshops) (2020)
Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy
Enabling and Exploiting Partition-Level Parallelism (PALP) in Phase Change Memories. ACM Trans. Embed. Comput. Syst. 18 (5s) (2019)
Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy
Enabling and Exploiting Partition-Level Parallelism (PALP) in Phase Change Memories. CoRR (2019)
Adarsha Balaji, Shihao Song, Anup Das, Nikil D. Dutt, Jeff Krichmar, Nagarajan Kandasamy, Francky Catthoor
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing. IEEE Comput. Archit. Lett. 18 (2) (2019)
Adarsha Balaji, Shihao Song, Anup Das, Nikil D. Dutt, Jeffrey L. Krichmar, Nagarajan Kandasamy, Francky Catthoor
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing. CoRR (2019)