Weihong Xu
Web site: Web site: https://esl.epfl.ch
Fields of expertise
- Domain-specific accelerator design
- Emerging computing systems and architectures
- Near-data computing
- Hyperdimensional computing
Publications
Selected publications
| Weihong Xu, Jaeyoung Kang, and Tajana Rosing IEEE/ACM Design Automation Conference (DAC), 2022 |
A Near-Storage Framework for Boosted Data Preprocessing of Mass Spectrum Clustering |
| Minxuan Zhou, Weihong Xu, Jaeyoung Kang, and Tajana Rosing IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2022 |
TransPIM: A Memory-based Acceleration via Software-Hardware Co-Design for Transformers |
| Weihong Xu, Jaeyoung Kang, and Tajana Rosing Design, Automation and Test in Europe Conference (DATE), 2023 |
FSL-HD: Accelerating Few-Shot Learning on ReRAM using Hyperdimensional Computing |
| Weihong Xu, Viji Swaminathan, Sumukh Pinge, Sean Fuhrman, and Tajana Rosing IEEE International Conference on Computer Design (ICCD), 2023 |
HyperMetric: Robust Hyperdimensional Computing on Error-prone Memories using Metric Learning |
| Weihong Xu, Jaeyoung Kang, Wout Bittremieux, Niema Moshiri, and Tajana Rosing Journal of Proteome Research, 2023 |
HyperSpec: Fast Mass Spectra Clustering in Hyperdimensional Space |
| Weihong Xu, Jaeyoung Kang, and Tajana Rosing Design, Automation and Test in Europe Conference (DATE), 2024 |
AttBind: Memory-Efficient Acceleration for Long-Range Attention Using Vector-Derived Symbolic Binding |
| Weihong Xu, Po-kai Hsu, Niema Moshiri, Shimeng Yu, and Tajana Rosing Bioinformatics, 2024 |
HyperGen: Compact and Efficient Genome Sketching using Hyperdimensional Vectors |
| Weihong Xu, Zaichen Zhang, Xiaohu You, and Chuan Zhang IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020 |
Reconfigurable and Low-complexity Accelerator for Convolutional and Generative Networks over Finite Fields |