| 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 | 316 | 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 | 277 | 2022 |
| 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 | 234 | 2020 |
| 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 | 200 | 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 | 135 | 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 | 87 | 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 | 72 | 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 | 68 | 2021 |
| Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, et al. Mest: Accurate and fast memory-economic sparse training framework on the edge G Yuan, X Ma, W Niu, Z Li Advances in Neural Information Processing Systems 34 (20838-20850), 3, 2021 | 67 | 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 | 66 | 2020 |
| 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 | 57 | 2023 |
| 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 | 39 | 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 | 38 | 2022 |
| 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 | 37 | 2019 |
| 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 | 32 | 2023 |
| 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 | 30 | 2020 |
| 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 | 30 | 2020 |
| Lazydit: Lazy learning for the acceleration of diffusion transformers X Shen, Z Song, Y Zhou, B Chen, Y Li, Y Gong, K Zhang, H Tan, J Kuen, ... Proceedings of the AAAI Conference on Artificial Intelligence 39 (19), 20409 …, 2025 | 29 | 2025 |
| 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 | 29 | 2023 |
| 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 | 28 | 2023 |
Yanzhi WangNortheastern UniversityVerified email at northeastern.edu
Bin RenWilliam & Mary; Pacific Northwest National Laboratories; Ohio State UniversityVerified email at cs.wm.edu
Geng YuanUniversity of GeorgiaVerified email at uga.edu
Xue LinNortheastern UniversityVerified email at northeastern.edu
pu zhaoNortheastern UniversityVerified email at husky.neu.edu
Xiaolong MaAssistant Professor, Clemson UniversityVerified email at clemson.edu
Zhenglun KongHarvard UniversityVerified email at hms.harvard.edu
Xipeng ShenProfessor of Computer Science, North Carolina State UniversityVerified email at ncsu.edu
Gang ZhouClass of 2027 Professor, William & Mary, IEEE Fellow, EiC of ACM HEALTHVerified email at wm.edu