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Rank Position Forecasting in Car Racing


Oct 23, 2020
Bo Peng, Jiayu Li, Selahattin Akkas, Fugang Wang, Takuya Araki, Ohno Yoshiyuki, Judy Qiu


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ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers


Dec 31, 2018
Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang


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A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM


Nov 05, 2018
Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Jiaming Xie, Yun Liang, Sijia Liu, Xue Lin, 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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On the Universal Approximation Property and Equivalence of Stochastic Computing-based Neural Networks and Binary Neural Networks


Jun 09, 2018
Yanzhi Wang, Zheng Zhan, Jiayu Li, Jian Tang, Bo Yuan, Liang Zhao, Wujie Wen, Siyue Wang, Xue Lin

* 9 pages, 3 figures 

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Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs


Mar 28, 2018
Caiwen Ding, Ao Ren, Geng Yuan, Xiaolong Ma, Jiayu Li, Ning Liu, Bo Yuan, Yanzhi Wang

* 6 pages, 7 figures, GLSVLSI2018 

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