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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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Safeguarded Learned Convex Optimization

Mar 04, 2020
Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin


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Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery

Mar 03, 2020
Zepeng Huo, Arash PakBin, Xiaohan Chen, Nathan Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi

* 10 pages, 5 figures, accepted by AISTATS 2020 

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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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Plug-and-Play Methods Provably Converge with Properly Trained Denoisers

May 14, 2019
Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin

* Published in the International Conference on Machine Learning, 2019 

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Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds

Nov 04, 2018
Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin

* 18 pages, 6 figures, 1 table. Accepted as spotlight oral in NIPS 2018 

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Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?

Oct 22, 2018
Nitin Bansal, Xiaohan Chen, Zhangyang Wang

* 11 pages, 1 figure, 2 tables. Accepted in NIPS 2018 

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