| 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 ASPLOS'20, 907-922, 2020 | 250 | 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'20, 5117-5124, 2020 | 176 | 2020 |
| Spvit: Enabling faster vision transformers via soft token pruning Z Kong, P Dong, X Ma, X Meng, M Sun, W Niu, X Shen, G Yuan, B Ren, ... ECCV'22, 2021 | 117* | 2021 |
| DNNFusion: accelerating deep neural networks execution with advanced operator fusion W Niu, J Guan, Y Wang, G Agrawal, B Ren PLDI'2021, 883-898, 2021 | 107 | 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 AAAI'21, 2020 | 102 | 2020 |
| Mest: Accurate and fast memory-economic sparse training framework on the edge ZL G Yuan, X Ma, W Niu Advances in Neural Information Processing Systems 34 (20838-20850), 2, 2021 | 79* | 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, ... DAC'20, 2020 | 56 | 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 | 46 | 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 | 39 | 2021 |
| 26ms inference time for resnet-50: Towards real-time execution of all dnns on smartphone W Niu, X Ma, Y Wang, B Ren Proceedings of the 36th International Conference on Machine Learning, PMLR, 2019 | 31 | 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 | 27 | 2021 |
| An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices X Ma, W Niu, T Zhang, S Liu, FM Guo, S Lin, H Li, X Chen, J Tang, K Ma, ... ECCV'20: Proceedings of the European Conference on Computer Vision, 2020 | 26 | 2020 |
| A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework Z Zhan, Y Gong, Z Li, P Zhao, X Ma, W Niu, X Xu, B Ren, Y Wang, X Lin GLSVLSI '20: Proceedings of the 2020 on Great Lakes Symposium on VLSI, 2020 | 23* | 2020 |
| 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 | 19 | 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 | 18 | 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 | 17 | 2023 |
| 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 | 17 | 2021 |
| 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 | 14 | 2022 |
| Blk-rew: A unified block-based dnn pruning framework using reweighted regularization method X Ma, Z Li, Y Gong, T Zhang, W Niu, Z Zhan, P Zhao, J Tang, X Lin, B Ren, ... arXiv preprint arXiv:2001.08357, 2020 | 13 | 2020 |
| Survey: Exploiting data redundancy for optimization of deep learning JA Chen, W Niu, B Ren, Y Wang, X Shen ACM Computing Surveys 55 (10), 1-38, 2023 | 12 | 2023 |
Bin RenWilliam & Mary; Pacific Northwest National Laboratories; Ohio State University在 cs.wm.edu 的电子邮件经过验证
