| 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 | 286 | 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 Proceedings of the AAAI conference on artificial intelligence 34 (04), 5117-5124, 2020 | 199 | 2020 |
| 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 | 165 | 2022 |
| Dnnfusion: accelerating deep neural networks execution with advanced operator fusion W Niu, J Guan, Y Wang, G Agrawal, B Ren Proceedings of the 42nd ACM SIGPLAN International Conference on Programming …, 2021 | 137 | 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 | 113 | 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 | 91 | 2021 |
| Rtmobile: Beyond real-time mobile acceleration of rnns for speech recognition P Dong, S Wang, W Niu, C Zhang, S Lin, Z Li, Y Gong, B Ren, X Lin, ... 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 64 | 2020 |
| 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 | 57 | 2022 |
| 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 | 51 | 2021 |
| 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 | 32 | 2023 |
| 26ms inference time for resnet-50: Towards real-time execution of all dnns on smartphone W Niu, X Ma, Y Wang, B Ren arXiv preprint arXiv:1905.00571, 2019 | 32 | 2019 |
| Npas: A compiler-aware framework of unified network pruning and architecture search for beyond real-time mobile acceleration Z Li, G Yuan, W Niu, P Zhao, Y Li, Y Cai, X Shen, Z Zhan, Z Kong, Q Jin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 29 | 2021 |
| An image enhancing pattern-based sparsity for real-time inference on mobile devices X Ma, W Niu, T Zhang, S Liu, S Lin, H Li, W Wen, X Chen, J Tang, K Ma, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 29 | 2020 |
| A privacy-preserving-oriented dnn pruning and mobile acceleration framework Y Gong, Z Zhan, Z Li, W Niu, X Ma, W Wang, B Ren, C Ding, X Lin, X Xu, ... Proceedings of the 2020 on Great Lakes Symposium on VLSI, 119-124, 2020 | 28 | 2020 |
| Compiler-aware neural architecture search for on-mobile real-time super-resolution Y Wu, Y Gong, P Zhao, Y Li, Z Zhan, W Niu, H Tang, M Qin, B Ren, ... European Conference on Computer Vision, 92-111, 2022 | 25 | 2022 |
| CoCoPIE: Enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design H Guan, S Liu, X Ma, W Niu, B Ren, X Shen, Y Wang, P Zhao Communications of the ACM 64 (6), 62-68, 2021 | 22 | 2021 |
| Grim: A general, real-time deep learning inference framework for mobile devices based on fine-grained structured weight sparsity W Niu, Z Li, X Ma, P Dong, G Zhou, X Qian, X Lin, Y Wang, B Ren IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6224 …, 2021 | 19 | 2021 |
| Clicktrain: Efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning C Zhang, G Yuan, W Niu, J Tian, S Jin, D Zhuang, Z Jiang, Y Wang, B Ren, ... Proceedings of the ACM international conference on supercomputing, 266-278, 2021 | 18 | 2021 |
| Towards high-quality and efficient video super-resolution via spatial-temporal data overfitting G Li, J Ji, M Qin, W Niu, B Ren, F Afghah, L Guo, X Ma 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2023 | 16 | 2023 |
| Pruning parameterization with bi-level optimization for efficient semantic segmentation on the edge C Yang, P Zhao, Y Li, W Niu, J Guan, H Tang, M Qin, B Ren, X Lin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 16 | 2023 |
Bin RenWilliam & Mary; Pacific Northwest National Laboratories; Ohio State UniversityBestätigte E-Mail-Adresse bei cs.wm.edu
