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MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation


Dec 21, 2021
Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin


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FBNetV5: Neural Architecture Search for Multiple Tasks in One Run


Nov 30, 2021
Bichen Wu, Chaojian Li, Hang Zhang, Xiaoliang Dai, Peizhao Zhang, Matthew Yu, Jialiang Wang, Yingyan Lin, Peter Vajda


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2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency


Sep 21, 2021
Yonggan Fu, Yang Zhao, Qixuan Yu, Chaojian Li, Yingyan Lin

* Accepted at MICRO 2021 

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DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference


Jul 16, 2021
Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin

* 16 pages, 6 figures 

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A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning


Jun 11, 2021
Yonggan Fu, Yongan Zhang, Chaojian Li, Zhongzhi Yu, Yingyan Lin

* Accepted at DAC 2021. arXiv admin note: text overlap with arXiv:2012.13091 

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InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks


Apr 22, 2021
Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin

* Accepted at DAC 2021 

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HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark


Mar 19, 2021
Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Yingyan Lin

* Accepted at ICLR 2021 (Spotlight) 

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SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training


Jan 04, 2021
Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang

* arXiv admin note: substantial text overlap with arXiv:2005.03403 

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FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training


Dec 24, 2020
Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin

* Accepted at NeurIPS 2020 

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DNA: Differentiable Network-Accelerator Co-Search


Oct 28, 2020
Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin


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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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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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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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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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