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    Chapter and Conference Paper

    Cryptanalysis of the SNOVA Signature Scheme

    SNOVA is a variant of a UOV-type signature scheme over a noncommutative ring. In this article, we demonstrate that certain parameters provided by authors in SNOVA fail to meet the NIST security level, and the ...

    Peigen Li, **tai Ding in Post-Quantum Cryptography (2024)

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    Chapter and Conference Paper

    A Novel Data-Driven Fault Diagnosis Method Based on Deep Learning

    Mechanical fault diagnosis is an essential means to reduce maintenance cost and ensure safety in production. Aiming to improve diagnosis accuracy, this paper proposes a novel data-driven diagnosis method based...

    Yuyan Zhang, Liang Gao, **nyu Li, Peigen Li in Data Mining and Big Data (2017)

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    Chapter and Conference Paper

    A Level Set Based Method for the Optimization of 3D Structures with the Extrusion Constraint

    An extrudable structure is formed via the extrusion process in which materials are squeezed through a die with pre-specified shape. Then, we obtain the long and straight metal parts with the fixed cross sectio...

    Hao Li, Liang Gao, Peigen Li, Tao Wu in Advances in Global Optimization (2015)

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    Chapter and Conference Paper

    Multi-Objective Optimization for Dynamic Single-Machine Scheduling

    In this paper, a multi-objective evolutionary algorithm based on gene expression programming (MOGEP) is proposed to construct scheduling rules (SRs) for dynamic single-machine scheduling problem (DSMSP) with j...

    Li Nie, Liang Gao, Peigen Li, **aojuan Wang in Advances in Swarm Intelligence (2011)

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    Chapter and Conference Paper

    Variable Neighborhood Genetic Algorithm for the Flexible Job Shop Scheduling Problems

    Flexible job shop scheduling problem (FJSP) is an important extension of the classical job shop scheduling problem, where the same operation could be processed on more than one machine. A Variable Neighborhood...

    Guohui Zhang, Liang Gao, **nyu Li, Peigen Li in Intelligent Robotics and Applications (2008)

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    Chapter and Conference Paper

    A New Hybrid GA/SA Algorithm for the Job Shop Scheduling Problem

    Among the modern heuristic methods, simulated annealing (SA) and genetic algorithms (GA) represent powerful combinatorial optimization methods with complementary strengths and weaknesses. Borrowing from the re...

    Chaoyong Zhang, Peigen Li, Yunqing Rao… in Evolutionary Computation in Combinatorial … (2005)