Improved polar decoder based on deep learning W Xu, Z Wu, YL Ueng, X You, C Zhang 2017 IEEE International workshop on signal processing systems (SiPS), 1-6, 2017 | 173 | 2017 |
Transpim: A memory-based acceleration via software-hardware co-design for transformer M Zhou, W Xu, J Kang, T Rosing 2022 IEEE International Symposium on High-Performance Computer Architecture …, 2022 | 84 | 2022 |
Joint neural network equalizer and decoder W Xu, Z Zhong, Y Be'ery, X You, C Zhang 2018 15th International Symposium on Wireless Communication Systems (ISWCS), 1-5, 2018 | 69 | 2018 |
Improving massive MIMO message passing detectors with deep neural network X Tan, W Xu, K Sun, Y Xu, Y Be’ery, X You, C Zhang IEEE Transactions on Vehicular Technology 69 (2), 1267-1280, 2019 | 62 | 2019 |
Polar decoding on sparse graphs with deep learning W Xu, X You, C Zhang, Y Be’ery 2018 52nd asilomar conference on signals, systems, and computers, 599-603, 2018 | 43 | 2018 |
Deep learning-aided belief propagation decoder for polar codes W Xu, X Tan, Y Be’ery, YL Ueng, Y Huang, X You, C Zhang IEEE Journal on Emerging and Selected Topics in Circuits and Systems 10 (2 …, 2020 | 42 | 2020 |
Improving massive MIMO belief propagation detector with deep neural network X Tan, W Xu, Y Be'ery, Z Zhang, X You, C Zhang arXiv preprint arXiv:1804.01002, 2018 | 41 | 2018 |
Hdnn-pim: Efficient in memory design of hyperdimensional computing with feature extraction A Dutta, S Gupta, B Khaleghi, R Chandrasekaran, W Xu, T Rosing Proceedings of the Great Lakes Symposium on VLSI 2022, 281-286, 2022 | 33 | 2022 |
Efficient fast convolution architectures for convolutional neural network W Xu, Z Wang, X You, C Zhang 2017 IEEE 12th International Conference on ASIC (ASICON), 904-907, 2017 | 29 | 2017 |
Reconfigurable and low-complexity accelerator for convolutional and generative networks over finite fields W Xu, Z Zhang, X You, C Zhang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 27 | 2020 |
Relhd: A graph-based learning on fefet with hyperdimensional computing J Kang, M Zhou, A Bhansali, W Xu, A Thomas, T Rosing 2022 IEEE 40th International Conference on Computer Design (ICCD), 553-560, 2022 | 25 | 2022 |
Efficient expectation propagation massive MIMO detector with Neumann-series approximation X Tan, W Xu, Y Zhang, Z Zhang, X You, C Zhang IEEE Transactions on Circuits and Systems II: Express Briefs 67 (10), 1924-1928, 2019 | 25 | 2019 |
Neural networks: Efficient implementations and applications C Zhang, W Xu 2017 IEEE 12th International Conference on ASIC (ASICON), 1029-1032, 2017 | 24 | 2017 |
Hyperspec: Ultrafast mass spectra clustering in hyperdimensional space W Xu, J Kang, W Bittremieux, N Moshiri, T Rosing Journal of proteome research 22 (6), 1639-1648, 2023 | 14 | 2023 |
Using Fermat number transform to accelerate convolutional neural network W Xu, X You, C Zhang 2017 IEEE 12th International Conference on ASIC (ASICON), 1033-1036, 2017 | 14 | 2017 |
A channel-blind detection for SCMA based on image processing techniques C Yang, W Xu, Z Zhang, X You, C Zhang 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018 | 13 | 2018 |
Efficient deep convolutional neural networks accelerator without multiplication and retraining W Xu, Z Zhang, X You, C Zhang 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 13 | 2018 |
A near-storage framework for boosted data preprocessing of mass spectrum clustering W Xu, J Kang, T Rosing Proceedings of the 59th ACM/IEEE Design Automation Conference, 313-318, 2022 | 10 | 2022 |
Fsl-hd: Accelerating few-shot learning on reram using hyperdimensional computing W Xu, J Kang, T Rosing 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023 | 9 | 2023 |
Rapidx: High-performance reram processing in-memory accelerator for sequence alignment W Xu, S Gupta, N Moshiri, TŠ Rosing IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2023 | 9 | 2023 |