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10/09/2022
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
Medical anomaly detection is a crucial yet challenging task aiming at re...
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06/08/2022
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays
Chest X-ray (CXR) is the most typical radiological exam for diagnosis of...
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11/11/2020
Fast semidefinite programming with feedforward neural networks
Semidefinite programming is an important optimization task, often used i...
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02/27/2020
MNN: A Universal and Efficient Inference Engine
Deploying deep learning models on mobile devices draws more and more att...
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07/24/2019
A neural network oracle for quantum nonlocality problems in networks
Characterizing quantum nonlocality in networks is a challenging problem....
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07/13/2018
Improving 3D NAND Flash Memory Lifetime by Tolerating Early Retention Loss and Process Variation
Compared to planar (i.e., two-dimensional) NAND flash memory, 3D NAND fl...
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05/08/2018
Characterizing, Exploiting, and Mitigating Vulnerabilities in MLC NAND Flash Memory Programming
This paper summarizes our work on experimentally analyzing, exploiting, ...
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05/08/2018
Read Disturb Errors in MLC NAND Flash Memory
This paper summarizes our work on experimentally characterizing, mitigat...
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05/08/2018
Experimental Characterization, Optimization, and Recovery of Data Retention Errors in MLC NAND Flash Memory
This paper summarizes our work on experimentally characterizing, mitigat...
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11/28/2017
Errors in Flash-Memory-Based Solid-State Drives: Analysis, Mitigation, and Recovery
NAND flash memory is ubiquitous in everyday life today because its capac...
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06/27/2017
Error Characterization, Mitigation, and Recovery in Flash Memory Based Solid-State Drives
NAND flash memory is ubiquitous in everyday life today because its capac...
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05/28/2016
