| CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices C Ding, S Liao, Y Wang, Z Li, N Liu, Y Zhuo, C Wang, X Qian, Y Bai, ... Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017 | 155 | 2017 |
| StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs. T Zhang, S Ye, X Feng, X Ma, K Zhang, Z Li, J Tang, S Liu, X Lin, Y Liu, ... IEEE Transactions on Neural Networks and Learning Systems, 2021 | 47* | 2021 |
| AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. N Liu, X Ma, Z Xu, Y Wang, J Tang, J Ye AAAI, 4876-4883, 2020 | 35* | 2020 |
| PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices. X Ma, FM Guo, W Niu, X Lin, J Tang, K Ma, B Ren, Y Wang AAAI, 5117-5124, 2020 | 33 | 2020 |
| PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning W Niu, X Ma, S Lin, S Wang, X Qian, X Lin, Y Wang, B Ren Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020 | 27 | 2020 |
| Towards ultra-high performance and energy efficiency of deep learning systems: an algorithm-hardware co-optimization framework Y Wang, C Ding, Z Li, G Yuan, S Liao, X Ma, B Yuan, X Qian, J Tang, ... Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018 | 21 | 2018 |
| Progressive dnn compression: A key to achieve ultra-high weight pruning and quantization rates using admm S Ye, X Feng, T Zhang, X Ma, S Lin, Z Li, K Xu, W Wen, S Liu, J Tang, ... arXiv preprint arXiv:1903.09769, 2019 | 20 | 2019 |
| Harnessing indirect training data for end-to-end automatic speech translation: Tricks of the trade J Pino, L Puzon, J Gu, X Ma, AD McCarthy, D Gopinath arXiv preprint arXiv:1909.06515, 2019 | 17 | 2019 |
| Structured weight matrices-based hardware accelerators in deep neural networks: Fpgas and asics C Ding, A Ren, G Yuan, X Ma, J Li, N Liu, B Yuan, Y Wang Proceedings of the 2018 on Great Lakes Symposium on VLSI, 353-358, 2018 | 11 | 2018 |
| An area and energy efficient design of domain-wall memory-based deep convolutional neural networks using stochastic computing X Ma, Y Zhang, G Yuan, A Ren, Z Li, J Han, J Hu, Y Wang 2018 19th International Symposium on Quality Electronic Design (ISQED), 314-321, 2018 | 11 | 2018 |
| Tiny but accurate: A pruned, quantized and optimized memristor crossbar framework for ultra efficient dnn implementation X Ma, G Yuan, S Lin, C Ding, F Yu, T Liu, W Wen, X Chen, Y Wang 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 301-306, 2020 | 10 | 2020 |
| 26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone W Niu, X Ma, Y Wang, B Ren Joint Workshop on On-Device Machine Learning & Compact Deep Neural Network …, 2019 | 10 | 2019 |
| ADMM-based weight pruning for real-time deep learning acceleration on mobile devices H Li, N Liu, X Ma, S Lin, S Ye, T Zhang, X Lin, W Xu, Y Wang Proceedings of the 2019 on Great Lakes Symposium on VLSI, 501-506, 2019 | 8 | 2019 |
| Memristor crossbar-based ultra-efficient next-generation baseband processors G Yuan, C Ding, R Cai, X Ma, Z Zhao, A Ren, B Yuan, Y Wang 2017 IEEE 60th International Midwest Symposium on Circuits and Systems …, 2017 | 8 | 2017 |
| An improved Fourier-based sub-pixel image registration algorithm for raw image sequence of LASIS X Ma, J Yang, W Qiao, B Xue International Symposium on Photoelectronic Detection and Imaging 2007: Image …, 2008 | 8 | 2008 |
| Auto-compensation of velocity-height ratio for Chang’E-2 satellite CCD stereo camera B Xue, BC Zhao, JF Yang, W Gao, WD Qiao, XL Ma, B Zhang, JH Liu, ... Science China Technological Sciences 54 (9), 2243-2246, 2011 | 7 | 2011 |
| Non-Structured DNN Weight Pruning--Is It Beneficial in Any Platform? X Ma, S Lin, S Ye, Z He, L Zhang, G Yuan, SH Tan, Z Li, D Fan, X Qian, ... IEEE transactions on neural networks and learning systems, 2021 | 6* | 2021 |
| Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM S Lin, X Ma, S Ye, G Yuan, K Ma, Y Wang Joint Workshop on On-Device Machine Learning & Compact Deep Neural Network …, 2019 | 6 | 2019 |
| CSB-RNN: a faster-than-realtime RNN acceleration framework with compressed structured blocks R Shi, P Dong, T Geng, Y Ding, X Ma, HKH So, M Herbordt, A Li, Y Wang Proceedings of the 34th ACM International Conference on Supercomputing, 1-12, 2020 | 5 | 2020 |
| An ultra-efficient memristor-based dnn framework with structured weight pruning and quantization using admm G Yuan, X Ma, C Ding, S Lin, T Zhang, ZS Jalali, Y Zhao, L Jiang, ... 2019 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2019 | 5 | 2019 |
Yanzhi WangNortheastern UniversityVerified email at northeastern.edu
