Search Results for author: X. Sharon Hu

Found 13 papers, 1 papers with code

Efficient approximation of Earth Mover's Distance Based on Nearest Neighbor Search

no code implementations14 Jan 2024 Guangyu Meng, Ruyu Zhou, Liu Liu, Peixian Liang, Fang Liu, Danny Chen, Michael Niemier, X. Sharon Hu

Earth Mover's Distance (EMD) is an important similarity measure between two distributions, used in computer vision and many other application domains.

Image Classification

Data-Driven Deep Supervision for Skin Lesion Classification

no code implementations4 Sep 2022 Suraj Mishra, Yizhe Zhang, Li Zhang, Tianyu Zhang, X. Sharon Hu, Danny Z. Chen

Specifically, we analyze the convolutional network's behavior (field-of-view) to find the location of deep supervision for improved feature extraction.

Classification Lesion Classification +2

Associative Memory Based Experience Replay for Deep Reinforcement Learning

no code implementations16 Jul 2022 Mengyuan Li, Arman Kazemi, Ann Franchesca Laguna, X. Sharon Hu

AMPER replaces the widely-used time-costly tree-traversal-based priority sampling in PER while preserving the learning performance.

reinforcement-learning Reinforcement Learning (RL)

Experimentally realized memristive memory augmented neural network

no code implementations15 Apr 2022 Ruibin Mao, Bo Wen, Yahui Zhao, Arman Kazemi, Ann Franchesca Laguna, Michael Neimier, X. Sharon Hu, Xia Sheng, Catherine E. Graves, John Paul Strachan, Can Li

Memory augmented neural network has been proposed to achieve the goal, but the memory module has to be stored in an off-chip memory due to its size.

One-Shot Learning

Image Complexity Guided Network Compression for Biomedical Image Segmentation

no code implementations6 Jul 2021 Suraj Mishra, Danny Z. Chen, X. Sharon Hu

Finally, the mapping is used to determine the convolutional layer-wise multiplicative factor for generating a compressed network.

Image Segmentation Segmentation +1

Objective-Dependent Uncertainty Driven Retinal Vessel Segmentation

no code implementations17 Apr 2021 Suraj Mishra, Danny Z. Chen, X. Sharon Hu

In this paper, we study retinal vessel segmentation by incorporating tiny vessel segmentation into our framework for the overall accurate vessel segmentation.

Retinal Vessel Segmentation Segmentation

Nonvolatile Spintronic Memory Cells for Neural Networks

no code implementations29 May 2019 Andrew W. Stephan, Qiuwen Lou, Michael Niemier, X. Sharon Hu, Steven J. Koester

A new spintronic nonvolatile memory cell analogous to 1T DRAM with non-destructive read is proposed.

Application-level Studies of Cellular Neural Network-based Hardware Accelerators

no code implementations28 Feb 2019 Qiuwen Lou, Indranil Palit, Tang Li, Andras Horvath, Michael Niemier, X. Sharon Hu

While it is well-known that CeNNs can be well-suited for spatio-temporal information processing, few (if any) studies have quantified the energy/delay/accuracy of a CeNN-friendly algorithm and compared the CeNN-based approach to the best von Neumann algorithm at the application level.

CC-Net: Image Complexity Guided Network Compression for Biomedical Image Segmentation

1 code implementation6 Jan 2019 Suraj Mishra, Peixian Liang, Adam Czajka, Danny Z. Chen, X. Sharon Hu

Convolutional neural networks (CNNs) for biomedical image analysis are often of very large size, resulting in high memory requirement and high latency of operations.

Image Segmentation Segmentation +1

A mixed signal architecture for convolutional neural networks

no code implementations30 Oct 2018 Qiuwen Lou, Chenyun Pan, John McGuiness, Andras Horvath, Azad Naeemi, Michael Niemier, X. Sharon Hu

Deep neural network (DNN) accelerators with improved energy and delay are desirable for meeting the requirements of hardware targeted for IoT and edge computing systems.


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