Tianyun Zhang
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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
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
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
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
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
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
Sgcn: A graph sparsifier based on graph convolutional networks
J Li, T Zhang, H Tian, S Jin, M Fardad, R Zafarani
Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 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
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
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
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 on Great Lakes Symposium on VLSI, 501-506, 2019
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
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, 1-14, 2022
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
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
Generation of low distortion adversarial attacks via convex programming
T Zhang, S Liu, Y Wang, M Fardad
2019 IEEE International Conference on Data Mining (ICDM), 1486-1491, 2019
Adversparse: An adversarial attack framework for deep spatial-temporal graph neural networks
J Li, T Zhang, S Jin, M Fardad, R Zafarani
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
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
Reinforced adversarial attacks on deep neural networks using admm
P Zhao, K Xu, T Zhang, M Fardad, Y Wang, X Lin
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018
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, 100125, 2023
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