Yong Wang

New perfect sequences from Helleseth-Gong sequences

2017

In this paper, for any given prime power q, using Helleseth-Gong sequences with ideal auto-correlation property, we propose a class of perfect sequences of length qm-1/q-1. As an application, a subclass of constructed perfect sequences …

Pinpoint Minimal Failure-Inducing Mode using Itemset Mining under Constraints

2018 · International Journal of Performability Engineering

A minimal failure-inducing mode (MFM) based on a t-way combinatorial test set and its test results can help programmers identify root causes of failures that are triggered by combination bugs. However, an MFM for systems …

Operational Semantics of Games

2019 · arXiv (Cornell University)

We introduce operational semantics into games. And based on the operational semantics, we establish a full algebra of games, including basic algebra of games, algebra of concurrent games, recursion and abstraction. The algebra can be …

Employee Acceptance of Employer Control Over Personal Devices – Research in Progress

2019 · Journal of the Association for Information Systems

Organizations face new and growing security challenges as consumer technology continues to be integrated into organizational workflows. Bring your own device (BYOD) is a phenomenon that is here to stay; however, securing employee’s personally-owned devices …

Random Walk Mutation-based DE with EDA for Nonlinear Equations Systems

2019

Finding multiple roots of nonlinear equations systems (NESs) in a single run is an important yet difficult task. It requires to keep a balance between explorative and exploitative traits. In this paper, we present a …

Extraction of Pipeline Vibration Feature Information Based on the Combination of EWT and SVD

2021

Due to the problem of endpoint effect in the decomposition of hydraulic structure vibration data by EMD (empirical mode decomposition) method and the resultant mode confusion, a method based on EWT (empirical wavelet transform) combined …

A Logic for Iterated Belief Revision

2021 · 2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)

Representing belief information is a fundamental problem in the field of belief revision. The AGM framework uses a deductively closed set of formulas, known as a theory, to represent the belief information of an agent, …

VIOLET: Visual Analytics for Explainable Quantum Neural Networks

2023 · arXiv (Cornell University)

With the rapid development of Quantum Machine Learning, quantum neural networks (QNN) have experienced great advancement in the past few years, harnessing the advantages of quantum computing to significantly speed up classical machine learning tasks. …

An Improved Quantum Algorithm of the Multislice Method

2024 · arXiv (Cornell University)

The multisilce method is an important algorithm for electron diffraction and image simulations in transmission electron microscopy. We have proposed a quantum algorithm of the multislice method based on quantum circuit model previously. In this …

Research and Application of Intelligent Governance Technology for Non-Motor Vehicle Violations

2025 · Procedia Computer Science

With the rapid development of the economy and society, the number of motor vehicles and non-motorized vehicles has increased significantly, leading to a continuous rise in traffic accidents. Particularly, illegal behaviors involving non-motorized vehicles not …

Search Engine Guided Neural Machine Translation

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

In this paper, we extend an attention-based neural machine translation (NMT) model by allowing it to access an entire training set of parallel sentence pairs even after training. The proposed approach consists of two stages. …

Meta-Learning for Low-Resource Neural Machine Translation

2018

In this paper, we propose to extend the recently introduced model-agnostic meta-learning algorithm (MAML, Finn et al., 2017) for lowresource neural machine translation (NMT). We frame low-resource translation as a metalearning problem, and we learn …