| Drq: dynamic region-based quantization for deep neural network acceleration Z Song, B Fu, F Wu, Z Jiang, L Jiang, N Jing, X Liang 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020 | 107 | 2020 |
| Cp-vit: Cascade vision transformer pruning via progressive sparsity prediction Z Song, Y Xu, Z He, L Jiang, N Jing, X Liang arXiv preprint arXiv:2203.04570, 2022 | 38 | 2022 |
| ITT-RNA: Imperfection tolerable training for RRAM-crossbar-based deep neural-network accelerator Z Song, Y Sun, L Chen, T Li, N Jing, X Liang, L Jiang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 25 | 2020 |
| VR-DANN: Real-time video recognition via decoder-assisted neural network acceleration Z Song, F Wu, X Liu, J Ke, N Jing, X Liang 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020 | 24 | 2020 |
| SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding F Liu, N Yang, H Li, Z Wang, Z Song, S Pei, L Jiang 2024 IEEE International Symposium on High-Performance Computer Architecture …, 2024 | 14 | 2024 |
| Dtqatten: Leveraging dynamic token-based quantization for efficient attention architecture T Yang, D Li, Z Song, Y Zhao, F Liu, Z Wang, Z He, L Jiang 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 700-705, 2022 | 14 | 2022 |
| PASGCN: An ReRAM-based PIM design for GCN with adaptively sparsified graphs T Yang, D Li, F Ma, Z Song, Y Zhao, J Zhang, F Liu, L Jiang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 13 | 2022 |
| Approximate random dropout for DNN training acceleration in GPGPU Z Song, R Wang, D Ru, Z Peng, H Huang, H Zhao, X Liang, L Jiang 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 108-113, 2019 | 13 | 2019 |
| Gpnpu: Enabling efficient hardware-based direct convolution with multi-precision support in gpu tensor cores Z Song, J Wang, T Li, L Jiang, J Ke, X Liang, N Jing 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 11 | 2020 |
| Ristretto: An atomized processing architecture for sparsity-condensed stream flow in cnn G Li, W Xu, Z Song, N Jing, J Cheng, X Liang 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO …, 2022 | 7 | 2022 |
| ReRAM-sharing: Fine-grained weight sharing for ReRAM-based deep neural network accelerator Z Song, D Li, Z He, X Liang, L Jiang 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 6 | 2021 |
| Prada: Point cloud recognition acceleration via dynamic approximation Z Song, N Jing, X Liang Proceedings of the ACM Turing Award Celebration Conference-China 2023, 49-50, 2023 | 5 | 2023 |
| PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation Z Song, L Heng, J Li, N Jing, X Liang 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023 | 5 | 2023 |
| PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation Z Song, H Lu, G Li, L Jiang, N Jing, X Liang ACM TURC '23: Proceedings of the ACM Turing Award Celebration Conference, 0 | 5* | |
| AdaS: A Fast and Energy-Efficient CNN Accelerator Exploiting Bit-Sparsity X Lin, G Li, Z Liu, Y Liu, F Zhang, Z Song, N Jing, X Liang 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 3 | 2023 |
| E2SR: an end-to-end video CODEC assisted system for super resolution acceleration Z Song, Z Yu, N Jing, X Liang Proceedings of the 59th ACM/IEEE Design Automation Conference, 229-234, 2022 | 3 | 2022 |
| DNN training acceleration via exploring GPGPU friendly sparsity Z Song, Y Xu, H Li, N Jing, X Liang, L Jiang arXiv preprint arXiv:2203.05705, 2022 | 3 | 2022 |
| Prarch: Pattern-based reconfigurable architecture for deep neural network acceleration Z Jiang, Z Song, X Liang, N Jing 2020 IEEE 22nd International Conference on High Performance Computing and …, 2020 | 3 | 2020 |
| Gzippo: Highly-Compact Processing-in-Memory Graph Accelerator Alleviating Sparsity and Redundancy X Li, R Ausavarungnirun, X Liu, X Liu, X Zhang, H Lu, Z Song, N Jing, ... Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022 | 2 | 2022 |
| GCNTrain: A Unified and Efficient Accelerator for Graph Convolutional Neural Network Training H Lu, Z Song, X Li, N Jing, X Liang 2022 IEEE 40th International Conference on Computer Design (ICCD), 730-737, 2022 | 2 | 2022 |
Xiaoyao LiangShanghai Jiao Tong University確認したメール アドレス: eecs.harvard.edu
