Search Results - "(Andrew) Jiang, Anxiao"

Systematic Error-Correcting Codes for Rank Modulation by Hongchao Zhou, Schwartz, Moshe, Jiang, Anxiao Andrew, Bruck, Jehoshua

“…The rank-modulation scheme has been recently proposed for efficiently storing data in nonvolatile memories. In this paper, we explore [n, k, d] systematic…”
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Interactions between Viral Regulatory Proteins Ensure an MOI-Independent Probability of Lysogeny during Infection by Bacteriophage P1 by Zhang, Kailun, Pankratz, Kiara, Duong, Hau, Theodore, Matthew, Guan, Jingwen, Jiang, Anxiao Andrew, Lin, Yiruo, Zeng, Lanying

“…Phage P1 is a temperate phage which makes the lytic or lysogenic decision upon infecting bacteria. During the lytic cycle, progeny phages are produced and the…”
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Asymmetric Error Correction and Flash-Memory Rewriting Using Polar Codes by En Gad, Eyal, Yue Li, Kliewer, Jorg, Langberg, Michael, Jiang, Anxiao Andrew, Bruck, Jehoshua

“…We propose efficient coding schemes for two communication settings: 1) asymmetric channels and 2) channels with an informed encoder. These settings are…”
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Rank-Modulation Rewrite Coding for Flash Memories by En Gad, Eyal, Yaakobi, Eitan, Jiang, Anxiao Andrew, Bruck, Jehoshua

“…The current flash memory technology focuses on the cost minimization of its static storage capacity. However, the resulting approach supports a relatively…”
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Coding for Secure Write-Efficient Memories by Qing Li, Jiang, Anxiao Andrew

“…Non-volatile memories suffer from two challenges due to their physical and system-level constraints. One challenge is limited memory lifetime, also called the…”
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Representation-Oblivious Error Correction by Natural Redundancy by Upadhyaya, Pulakesh, Jiang, Anxiao Andrew

“…Storage systems have a strong need for substantially improving their error correction capabilities, especially for long-term storage where the accumulating…”
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Guest Editorial Communication Methodologies for the Next-Generation Storage Systems by Dolecek, Lara, Blaum, Mario, Bruck, Jehoshua, Jiang, Anxiao Andrew, Ramchandran, Kannan, Vasic, Bane

“…This issue consists of 22 high-caliber papers with contributions from both academia and industry. The papers are organized into the following six sections: (i)…”
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Improve Robustness of Deep Neural Networks by Coding by Huang, Kunping, Raviv, Netanel, Jain, Siddharth, Upadhyaya, Pulakesh, Bruck, Jehoshua, Siegel, Paul H., Andrew Jiang, Anxiao

“…Deep neural networks (DNNs) typically have many weights. When errors appear in their weights, which are usually stored in non-volatile memories, their…”
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MAP: Medial axis based geometric routing in sensor networks by Bruck, Jehoshua, Gao, Jie, Jiang, Anxiao (Andrew)

“…In this paper, we show that a compact and expressive abstraction of network connectivity by the medial axis enables efficient and localized routing. We propose…”
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Separability and topology control of quasi unit disk graphs by Chen, Jianer, (Andrew) Jiang, Anxiao, Kanj, Iyad A., Xia, Ge, Zhang, Fenghui

“…A deep understanding of the structural properties of wireless networks is critical for evaluating the performance of network protocols and improving their…”
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Data archiving in 1x-nm NAND flash memories: Enabling long-term storage using rank modulation and scrubbing by Yue Li, Gad, Eyal En, Jiang, Anxiao Andrew, Bruck, Jehoshua

“…The challenge of using inexpensive and high-density NAND flash for archival storage was posed recently for reducing data center costs. However, such flash…”
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Symbolic Regression for Data Storage with Side Information by Zuo, Xiangwu, Jiang, Anxiao Andrew, Raviv, Netanel, Siegel, Paul H.

“…There are various ways to use machine learning to improve data storage techniques. In this paper, we introduce symbolic regression, a machine-learning method…”
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Machine Learning and Algorithmic Techniques for Error Correction by Jiang, Anxiao Andrew

“…Many types of data, such as natural languages, have rich internal redundancy, which can be used to substantially improve the error correction performance. This…”
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Multicluster interleaving on paths and cycles by Jiang, A., Bruck, J.

“…Interleaving codewords is an important method not only for combatting burst errors, but also for distributed data retrieval. This paper introduces the concept…”
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Functional Error Correction for Reliable Neural Networks by Huang, Kunping, Siegel, Paul H., Jiang, Anxiao Andrew

“…When deep neural networks (DNNs) are implemented in hardware, their weights need to be stored in memory devices. As noise accumulates in the stored weights,…”
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CodNN - Robust Neural Networks From Coded Classification by Raviv, Netanel, Jain, Siddharth, Upadhyaya, Pulakesh, Bruck, Jehoshua, Jiang, Anxiao Andrew

“…Deep Neural Networks (DNNs) are a revolutionary force in the ongoing information revolution, and yet their intrinsic properties remain a mystery. In…”
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On LDPC decoding with natural redundancy by Upadhyaya, Pulakesh, Jiang, Anxiao Andrew

“…Big-data storage has substantial challenges due to accumulative noise in storage media. To ensure its long-term reliability, new techniques for error…”
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Reinforcement prompting for financial synthetic data generation by Zuo, Xiangwu, Jiang, Anxiao (Andrew), Zhou, Kaixiong

“…The emergence of Large Language Models (LLMs) has unlocked unprecedented potential for comprehending and generating human-like text, fueling advances in the…”
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A study of polar codes for MLC NAND flash memories by Yue Li, Alhussien, Hakim, Haratsch, Erich F., Jiang, Anxiao Andrew

“…The increasing density of NAND flash memories makes data more prone to errors due to severe process variations and disturbance. The urgency to improve NAND…”
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Correcting Charge-Constrained Errors in the Rank-Modulation Scheme by Anxiao Jiang, Schwartz, Moshe, Bruck, Jehoshua

“…We investigate error-correcting codes for a the rank-modulation scheme with an application to flash memory devices. In this scheme, a set of n cells stores…”
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