| Efficientformer: Vision transformers at mobilenet speed Y Li, G Yuan, Y Wen, J Hu, G Evangelidis, S Tulyakov, Y Wang, J Ren Advances in Neural Information Processing Systems 35, 12934-12949, 2022 | 382 | 2022 |
| 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 | 347 | 2017 |
| Spvit: Enabling faster vision transformers via latency-aware soft token pruning Z Kong, P Dong, X Ma, X Meng, W Niu, M Sun, X Shen, G Yuan, B Ren, ... European conference on computer vision, 620-640, 2022 | 197 | 2022 |
| 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 33 (9), 4930-4944, 2021 | 122 | 2021 |
| Yolobile: Real-time object detection on mobile devices via compression-compilation co-design Y Cai, H Li, G Yuan, W Niu, Y Li, X Tang, B Ren, Y Wang Proceedings of the AAAI conference on artificial intelligence 35 (2), 955-963, 2021 | 117 | 2021 |
| Mest: Accurate and fast memory-economic sparse training framework on the edge G Yuan, X Ma, W Niu, Z Li, Z Kong, N Liu, Y Gong, Z Zhan, C He, Q Jin, ... Advances in Neural Information Processing Systems 34, 20838-20850, 2021 | 97 | 2021 |
| Forms: Fine-grained polarized reram-based in-situ computation for mixed-signal dnn accelerator G Yuan, P Behnam, Z Li, A Shafiee, S Lin, X Ma, H Liu, X Qian, ... 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021 | 78 | 2021 |
| Teachers do more than teach: Compressing image-to-image models Q Jin, J Ren, OJ Woodford, J Wang, G Yuan, Y Wang, S Tulyakov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 70 | 2021 |
| Sanity checks for lottery tickets: Does your winning ticket really win the jackpot? X Ma, G Yuan, X Shen, T Chen, X Chen, X Chen, N Liu, M Qin, S Liu, ... Advances in Neural Information Processing Systems 34, 12749-12760, 2021 | 66 | 2021 |
| Sparcl: Sparse continual learning on the edge Z Wang, Z Zhan, Y Gong, G Yuan, W Niu, T Jian, B Ren, S Ioannidis, ... Advances in Neural Information Processing Systems 35, 20366-20380, 2022 | 63 | 2022 |
| Auto-vit-acc: An fpga-aware automatic acceleration framework for vision transformer with mixed-scheme quantization Z Li, M Sun, A Lu, H Ma, G Yuan, Y Xie, H Tang, Y Li, M Leeser, Z Wang, ... 2022 32nd International Conference on Field-Programmable Logic and …, 2022 | 63 | 2022 |
| 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 | 60 | 2020 |
| Achieving on-mobile real-time super-resolution with neural architecture and pruning search Z Zhan, Y Gong, P Zhao, G Yuan, W Niu, Y Wu, T Zhang, M Jayaweera, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 57 | 2021 |
| 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 | 56 | 2019 |
| Towards artificial general intelligence (agi) in the internet of things (iot): Opportunities and challenges F Dou, J Ye, G Yuan, Q Lu, W Niu, H Sun, L Guan, G Lu, G Mai, N Liu, ... arXiv preprint arXiv:2309.07438, 2023 | 46 | 2023 |
| Resnet can be pruned 60×: Introducing network purification and unused path removal (p-rm) after weight pruning X Ma, G Yuan, S Lin, Z Li, H Sun, Y Wang 2019 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), 1-2, 2019 | 46 | 2019 |
| 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 AAAI Conference on Artificial Intelligence 32 (1), 2018 | 45 | 2018 |
| Pruning-as-search: Efficient neural architecture search via channel pruning and structural reparameterization Y Li, P Zhao, G Yuan, X Lin, Y Wang, X Chen arXiv preprint arXiv:2206.01198, 2022 | 43 | 2022 |
| Improving dnn fault tolerance using weight pruning and differential crossbar mapping for reram-based edge ai G Yuan, Z Liao, X Ma, Y Cai, Z Kong, X Shen, J Fu, Z Li, C Zhang, H Peng, ... 2021 22nd International Symposium on Quality Electronic Design (ISQED), 135-141, 2021 | 37 | 2021 |
| Lottery ticket preserves weight correlation: Is it desirable or not? N Liu, G Yuan, Z Che, X Shen, X Ma, Q Jin, J Ren, J Tang, S Liu, Y Wang International Conference on Machine Learning, 7011-7020, 2021 | 36 | 2021 |
Yanzhi WangNortheastern UniversityDirección de correo verificada de northeastern.edu