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A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods

Apr 12, 2020
Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Minghai Qin, Fei Sun, Yen-Kuang Chen, Caiwen Ding, Makan Fardad, Yanzhi Wang


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Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense

Jun 09, 2019
Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li


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Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM

Mar 30, 2019
Shaokai Ye, Xiaoyu Feng, Tianyun Zhang, Xiaolong Ma, Sheng Lin, Zhengang Li, Kaidi Xu, Wujie Wen, Sijia Liu, Jian Tang, Makan Fardad, Xue Lin, Yongpan Liu, Yanzhi Wang


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Progressive Weight Pruning of Deep Neural Networks using ADMM

Nov 04, 2018
Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Kaidi Xu, Yunfei Yang, Fuxun Yu, Jian Tang, Makan Fardad, Sijia Liu, Xiang Chen, Xue Lin, Yanzhi Wang


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ADAM-ADMM: A Unified, Systematic Framework of Structured Weight Pruning for DNNs

Jul 29, 2018
Tianyun Zhang, Kaiqi Zhang, Shaokai Ye, Jiayu Li, Jian Tang, Wujie Wen, Xue Lin, Makan Fardad, Yanzhi Wang


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A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers

Jul 25, 2018
Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang

* ECCV 2018, pp 191-207 

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Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers

Apr 22, 2018
Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang, Makan Fardad


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A Memristor-Based Optimization Framework for AI Applications

Oct 18, 2017
Sijia Liu, Yanzhi Wang, Makan Fardad, Pramod K. Varshney


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Algorithms for leader selection in stochastically forced consensus networks

May 29, 2013
Fu Lin, Makan Fardad, Mihailo R. Jovanović

* IEEE Trans. Automat. Control (2014), vol. 59, no. 7, pp. 1789-1802 
* Submitted to IEEE Transactions on Automatic Control 

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