Search Results for author: Zhihan Lu

Found 3 papers, 3 papers with code

Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets

2 code implementations1 Mar 2021 Haoran You, Zhihan Lu, Zijian Zhou, Yonggan Fu, Yingyan Lin

Experiments on various GCN models and datasets consistently validate our GEB finding and the effectiveness of our GEBT, e. g., our GEBT achieves up to 80. 2% ~ 85. 6% and 84. 6% ~ 87. 5% savings of GCN training and inference costs while offering a comparable or even better accuracy as compared to state-of-the-art methods.

Representation Learning

Max-Affine Spline Insights Into Deep Network Pruning

1 code implementation7 Jan 2021 Haoran You, Randall Balestriero, Zhihan Lu, Yutong Kou, Huihong Shi, Shunyao Zhang, Shang Wu, Yingyan Lin, Richard Baraniuk

In this paper, we study the importance of pruning in Deep Networks (DNs) and the yin & yang relationship between (1) pruning highly overparametrized DNs that have been trained from random initialization and (2) training small DNs that have been "cleverly" initialized.

Network Pruning

SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam

1 code implementation ICCV 2021 Yonggan Fu, Yang Zhang, Yue Wang, Zhihan Lu, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin

PhlatCam, with its form factor potentially reduced by orders of magnitude, has emerged as a promising solution to the first aforementioned challenge, while the second one remains a bottleneck.

Benchmarking Model Compression +1

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