| A systematic DNN weight pruning framework using alternating direction method of multipliers T Zhang, S Ye, K Zhang, J Tang, W Wen, M Fardad, Y Wang European Conference on Computer Vision 2018 (ECCV 2018), 191-207, 2018 | 681 | 2018 |
| Admm-nn: An algorithm-hardware co-design framework of dnns using alternating direction methods of multipliers A Ren, T Zhang, S Ye, J Li, W Xu, X Qian, X Lin, Y Wang Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019 | 236 | 2019 |
| 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 33 (5), 2259-2273, 2021 | 177* | 2021 |
| 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 | 124* | 2019 |
| Adversarial attack generation empowered by min-max optimization J Wang, T Zhang, S Liu, PY Chen, J Xu, M Fardad, B Li Advances in Neural Information Processing Systems 34, 16020-16033, 2021 | 87* | 2021 |
| 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 | 87 | 2021 |
| A unified framework of dnn weight pruning and weight clustering/quantization using admm S Ye, T Zhang, K Zhang, J Li, J Xie, Y Liang, S Liu, X Lin, Y Wang arXiv preprint arXiv:1811.01907, 2018 | 75 | 2018 |
| 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 | 73 | 2019 |
| Sgcn: A graph sparsifier based on graph convolutional networks J Li, T Zhang, H Tian, S Jin, M Fardad, R Zafarani Pacific-Asia Conference on Knowledge Discovery and Data Mining, 275-287, 2020 | 72 | 2020 |
| Efficient transformer-based large scale language representations using hardware-friendly block structured pruning B Li, Z Kong, T Zhang, J Li, Z Li, H Liu, C Ding Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 58 | 2020 |
| Deep transfer learning for intelligent vehicle perception: A survey X Liu, J Li, J Ma, H Sun, Z Xu, T Zhang, H Yu Green Energy and Intelligent Transportation 2 (5), 100125, 2023 | 52 | 2023 |
| 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, ... European Conference on Computer Vision, 629-645, 2020 | 40 | 2020 |
| A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods T Zhang, X Ma, Z Zhan, S Zhou, C Ding, M Fardad, Y Wang 2021 58th ACM/IEEE Design Automation Conference (DAC), 493-498, 2021 | 37 | 2021 |
| 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 Great Lakes Symposium on VLSI, 501-506, 2019 | 35 | 2019 |
| Blcr: Towards real-time dnn execution with block-based reweighted pruning X Ma, G Yuan, Z Li, Y Gong, T Zhang, W Niu, Z Zhan, P Zhao, N Liu, ... 2022 23rd International Symposium on Quality Electronic Design (ISQED), 1-8, 2022 | 29* | 2022 |
| Graph sparsification with graph convolutional networks J Li, T Zhang, H Tian, S Jin, M Fardad, R Zafarani International journal of data science and analytics 13 (1), 33-46, 2022 | 29 | 2022 |
| Defense against adversarial cloud attack on remote sensing salient object detection H Sun, L Fu, J Li, Q Guo, Z Meng, T Zhang, Y Lin, H Yu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 25 | 2024 |
| Computation on sparse neural networks and its implications for future hardware F Sun, M Qin, T Zhang, L Liu, YK Chen, Y Xie 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 13* | 2020 |
| A unified DNN weight compression framework using reweighted optimization methods M Fan, T Zhang, X Ma, J Guo, Z Zhan, S Zhou, M Qin, C Ding, B Geng, ... Intelligent Systems with Applications, 200556, 2025 | 9* | 2025 |
| Towards aqfp-capable physical design automation H Li, M Sun, T Zhang, O Chen, N Yoshikawa, B Yu, Y Wang, Y Lin 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 954-959, 2021 | 9 | 2021 |
Yanzhi WangNortheastern UniversityVerified email at northeastern.edu
