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ShiftAddNet: A Hardware-Inspired Deep Network

Oct 24, 2020
Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin

* Accepted by NeurIPS 2020 

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AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks

Jul 06, 2020
Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

* Accepted at ICML2020 

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AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles

Jun 08, 2020
Sicong Liu, Junzhao Du, Kaiming Nan, ZimuZhou, Atlas Wang, Yingyan Lin

* IEEE transactions on mobile computing, 2020 

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SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation

May 08, 2020
Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin

* Accepted by 47th International Symposium on Computer Architecture (ISCA'2020) 

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TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain

May 03, 2020
Weitao Li, Pengfei Xu, Yang Zhao, Haitong Li, Yuan Xie, Yingyan Lin

* Accepted by 47th International Symposium on Computer Architecture (ISCA'2020) 

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A New MRAM-based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision

Mar 02, 2020
Hongjie Wang, Yang Zhao, Chaojian Li, Yue Wang, Yingyan Lin

* Accepted by the IEEE International Symposium on Circuits and Systems 2020 (ISCAS'2020) 

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DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures

Feb 26, 2020
Yang Zhao, Chaojian Li, Yue Wang, Pengfei Xu, Yongan Zhang, Yingyan Lin

* Accepted by 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP'2020) 

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AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs

Jan 06, 2020
Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao, Yongan Zhang, Yue Wang, Chaojian Li, Zetong Guan, Deming Chen, Yingyan Lin

* Accepted by 28th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA'2020) 

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Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference

Jan 03, 2020
Jianghao Shen, Yonggan Fu, Yue Wang, Pengfei Xu, Zhangyang Wang, Yingyan Lin


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E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings

Dec 06, 2019
Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang


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E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy

Nov 06, 2019
Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang


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E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving

Oct 29, 2019
Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang


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Drawing early-bird tickets: Towards more efficient training of deep networks

Sep 26, 2019
Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Yingyan Lin, Zhangyang Wang, Richard G. Baraniuk


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Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference

Jul 17, 2019
Yue Wang, Jianghao Shen, Ting-Kuei Hu, Pengfei Xu, Tan Nguyen, Richard Baraniuk, Zhangyang Wang, Yingyan Lin


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Deep $k$-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions

Jun 24, 2018
Junru Wu, Yue Wang, Zhenyu Wu, Zhangyang Wang, Ashok Veeraraghavan, Yingyan Lin

* Accepted by ICML 2018 

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