Search Results for author: Leyuan Wang

Found 8 papers, 4 papers with code

Bolt: Bridging the Gap between Auto-tuners and Hardware-native Performance

no code implementations25 Oct 2021 Jiarong Xing, Leyuan Wang, Shang Zhang, Jack Chen, Ang Chen, Yibo Zhu

Today's auto-tuners (e. g., AutoTVM, Ansor) generate efficient tensor programs by navigating a large search space to identify effective implementations, but they do so with opaque hardware details.

An End-to-End Autofocus Camera for Iris on the Move

1 code implementation29 Jun 2021 Leyuan Wang, Kunbo Zhang, Yunlong Wang, Zhenan Sun

To accommodate users at different distances, it is necessary to control focus quickly and accurately.

Iris Recognition

UNIT: Unifying Tensorized Instruction Compilation

no code implementations21 Jan 2021 Jian Weng, Animesh Jain, Jie Wang, Leyuan Wang, Yida Wang, Tony Nowatzki

However, it is hard to leverage mixed precision without hardware support because of the overhead of data casting.

HAWQV3: Dyadic Neural Network Quantization

1 code implementation20 Nov 2020 Zhewei Yao, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric Tan, Leyuan Wang, Qijing Huang, Yida Wang, Michael W. Mahoney, Kurt Keutzer

Current low-precision quantization algorithms often have the hidden cost of conversion back and forth from floating point to quantized integer values.

Model Compression Quantization

Recognition Oriented Iris Image Quality Assessment in the Feature Space

1 code implementation1 Sep 2020 Leyuan Wang, Kunbo Zhang, Min Ren, Yunlong Wang, Zhenan Sun

The quality metric proposed in this paper can significantly improve the performance of the recognition algorithm while reducing the number of images discarded for recognition, which is advantageous over hand-crafted factors based iris quality assessment methods.

Image Quality Assessment

Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario

no code implementations18 Mar 2020 Yu Tian, Kunbo Zhang, Leyuan Wang, Zhenan Sun

Extensive experiments demonstrate the advantages of the PAAS technique to counter diverse face spoofing attacks (print, replay, mask) in uncontrolled indoor and outdoor conditions by learning polarized face images of 33 people.

Face Anti-Spoofing

Fast Gunrock Subgraph Matching (GSM) on GPUs

no code implementations1 Mar 2020 Leyuan Wang, John D. Owens

In this paper, we propose a GPU-efficient subgraph isomorphism algorithm using the Gunrock graph analytic framework, GSM (Gunrock Subgraph Matching), to compute graph matching on GPUs.

Distributed, Parallel, and Cluster Computing

TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

1 code implementation12 Feb 2018 Tianqi Chen, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Yan, Meghan Cowan, Haichen Shen, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

Experimental results show that TVM delivers performance across hardware back-ends that are competitive with state-of-the-art, hand-tuned libraries for low-power CPU, mobile GPU, and server-class GPUs.

Cannot find the paper you are looking for? You can Submit a new open access paper.