A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing. - Adarsha Balaji; Shihao Song; Anup Das 001; Nikil D. Dutt; Jeff Krichmar; Nagarajan Kandasamy; Francky Catthoor (IEEE Comput. Archit. Lett., 2019)

Enabling and Exploiting Partition-Level Parallelism (PALP) in Phase Change Memories. - Shihao Song; Anup Das 001; Onur Mutlu; Nagarajan Kandasamy (ACM Trans. Embed. Comput. Syst., 2019)

Improving Dependability of Neuromorphic Computing With Non-Volatile Memory. - Shihao Song; Anup Das 001; Nagarajan Kandasamy (EDCC, 2020)

Design Methodologies for Reliable and Energy-efficient PCM Systems. - Shihao Song; Anup Das 001 (IGSC (Workshops), 2020)

Exploiting inter- and intra-memory asymmetries for data mapping in hybrid tiered-memories. - Shihao Song; Anup Das 001; Nagarajan Kandasamy (ISMM, 2020)

Improving phase change memory performance with data content aware access. - Shihao Song; Anup Das 001; Onur Mutlu; Nagarajan Kandasamy (ISMM, 2020)

Compiling Spiking Neural Networks to Neuromorphic Hardware. - Shihao Song; Adarsha Balaji; Anup Das 001; Nagarajan Kandasamy; James A. Shackleford (LCTES, 2020)

A Case for Lifetime Reliability-Aware Neuromorphic Computing. - Shihao Song; Anup Das 001 (MWSCAS, 2020)

Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping. - Shihao Song; Twisha Titirsha; Anup Das 001 (ASAP, 2021)

Towards Automatic and Agile AI/ML Accelerator Design with End-to-End Synthesis. - Jeff Jun Zhang; Nicolas Bohm Agostini; Shihao Song; Cheng Tan 002; Ankur Limaye; Vinay Amatya; Joseph B. Manzano; Marco Minutoli; Vito Giovanni Castellana; Antonino Tumeo; Gu-Yeon Wei; David Brooks 001 (ASAP, 2021)

Aging-Aware Request Scheduling for Non-Volatile Main Memory. - Shihao Song; Anup Das 001; Onur Mutlu; Nagarajan Kandasamy (ASP-DAC, 2021)

On the role of system software in energy management of neuromorphic computing. - Twisha Titirsha; Shihao Song; Adarsha Balaji; Anup Das 001 (CF, 2021)

Design Technology Co-Optimization for Neuromorphic Computing. - Ankita Paul; Shihao Song; Anup Das 001 (IGSC (Workshops), 2021)

Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators. - Serena Curzel; Nicolas Bohm Agostini; Shihao Song; Ismet Dagli; Ankur Limaye; Cheng Tan 002; Marco Minutoli; Vito Giovanni Castellana; Vinay Amatya; Joseph B. Manzano; Anup Das 001; Fabrizio Ferrandi; et al. (ICCAD, 2021)

A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware. - Shihao Song; M. Lakshmi Varshika; Anup Das 001; Nagarajan Kandasamy (ICCAD, 2021)

NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. - Adarsha Balaji; Shihao Song; Twisha Titirsha; Anup Das 001; Jeffrey L. Krichmar; Nikil D. Dutt; James A. Shackleford; Nagarajan Kandasamy; Francky Catthoor (ICONS, 2021)

Interactive Context-Aware Furniture Recommendation using Mixed Reality. - Hongfei Yu; Wei Liang 008; Shihao Song; Bing Ning; Yixin Zhu 001 (VR Workshops, 2021)

Special Session: Reliability Analysis for AI/ML Hardware. - Shamik Kundu; Kanad Basu; Mehdi Sadi; Twisha Titirsha; Shihao Song; Anup Das 001; Ujjwal Guin (VTS, 2021)

Special Session: Reliability Analysis for ML/AI Hardware. - Shamik Kundu; Kanad Basu; Mehdi Sadi; Twisha Titirsha; Shihao Song; Anup Das 001; Ujjwal Guin (CoRR, 2021)

Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition. - Adarsha Balaji; Shihao Song; Anup Das 001; Jeffrey L. Krichmar; Nikil D. Dutt; James A. Shackleford; Nagarajan Kandasamy; Francky Catthoor (IEEE Embed. Syst. Lett., 2021)

Dynamic Reliability Management in Neuromorphic Computing. - Shihao Song; Jui Hanamshet; Adarsha Balaji; Anup Das 001; Jeffrey L. Krichmar; Nikil D. Dutt; Nagarajan Kandasamy; Francky Catthoor (ACM J. Emerg. Technol. Comput. Syst., 2021)

Moving Soon? Rearranging Furniture using Mixed Reality. - Shihao Song; Yujia Wang; Wei Liang 008; Xiangyuan Li (VR Workshops, 2022)

DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware. - Shihao Song; Harry Chong; Adarsha Balaji; Anup Das 001; James A. Shackleford; Nagarajan Kandasamy (ACM Trans. Embed. Comput. Syst., 2022)

Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware. - Twisha Titirsha; Shihao Song; Anup Das 001; Jeffrey L. Krichmar; Nikil D. Dutt; Nagarajan Kandasamy; Francky Catthoor (IEEE Trans. Parallel Distributed Syst., 2022)

Design-Technology Co-Optimization for NVM-Based Neuromorphic Processing Elements. - Shihao Song; Adarsha Balaji; Anup Das 001; Nagarajan Kandasamy (ACM Trans. Embed. Comput. Syst., 2022)

A Novel Variational Autoencoder with Multi-position Latent Self-attention and Actor-Critic for Recommendation. - Jiamei Feng; Mengchi Liu; Song Hong; Shihao Song (ADMA (1), 2023)

Study on the Variation of the Maximum Temperature During Heating Process of a Resistance Heater. - Zonglai Mo; Shihao Song; Jili Wang; Congyue Zhang; Zhuangzhang Li; Yue Zhou; Yuanjie Liang; Jun Li (M2VIP, 2023)

On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware. - Ankita Paul; Shihao Song; Twisha Titirsha; Anup Das 001 (IEEE Des. Test, 2023)

An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition. - Yizhang Xia; Shihao Song; Zhanglu Hou; Junwen Xu; Juan Zou; Yuan Liu 026; Shengxiang Yang (CoRR, 2024)

A Q-learning based auto-scaling approach for provisioning big data analysis services in cloud environments. - Shihao Song; Li Pan 001; Shijun Liu (Future Gener. Comput. Syst., 2024)

Research on the Vision-Based Dairy Cow Ear Tag Recognition Method. - Tianhong Gao; Daoerji Fan; Huijuan Wu; Xiangzhong Chen; Shihao Song; Yuxin Sun; Jia Tian (Sensors, 2024)