Qian Zhang
12 papers in the PaperMetrix corpus
Papers by this author
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A Hybrid Particle Swarm Optimization‐Cuckoo Search Algorithm and Its Engineering Applications
2019 · Mathematical Problems in Engineering
This paper deals with the hybrid particle swarm optimization‐Cuckoo Search (PSO‐CS) algorithm which is capable of solving complicated nonlinear optimization problems. It combines the iterative scheme of the particle swarm optimization (PSO) algorithm and the …
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Towards more transparent, reproducible, and reusable data cleaning with OpenRefine
2019
We study provenance features of OpenRefine, a popular data cleaning tool. In OpenRefine, provenance is available through operation histories and recipes. The former provide users with an undo/redo capability; the latter represent histories in JSON, …
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Semi-supervised Learning with Generative Adversarial Networks for Arabic Dialect Identification
2019
Dialect Identification (DID) refers to the process of identifying different dialects within the same language class. Compared with more general language identification (LID), DID is a more challenging task because of the substantial similarity between …
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An Exploratory Study of Applying MOOC Concept to College English Teaching for Non-English Majors
2020 · Proceedings of the 2020 5th International Conference on Humanities Science and Society Development (ICHSSD 2020)
With the development of economic globalization, the modern society sets more strict requirements of the comprehensive ability of English and the multicultural communication ability for the college students. However, in China, the prevailing teaching model …
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SAFE: A General Secure and Fair Auction Framework for Wireless Markets With Privacy Preservation
2020 · IEEE Transactions on Dependable and Secure Computing
With the prosperity of wireless and mobile communications, the allocation of wireless resources, e.g., spectrum channels, femtocell access permissions, and resource blocks of D2D connections, has become a matter of great concern, which leads to …
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A Novel Algorithm for Breast Mass Classification in Digital Mammography Based on Feature Fusion
2020 · Journal of Healthcare Engineering
Prompt diagnosis of benign and malignant breast masses is essential for early breast cancer screening. Convolutional neural networks (CNNs) can be used to assist in the classification of benign and malignant breast masses. A persistent …
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Incorporating multi-level positive feedback to session-based nearest-neighbor
2021
User feedback such as clicks, likes and follows is widely considered positive signal, as users infer their preference through these signals. However, a click feedback that is intended for a purchase indicates that the user's …
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Aspect-driven User Preference and News Representation Learning for News Recommendation
2021 · arXiv (Cornell University)
News recommender systems are essential for helping users to efficiently and effectively find out those interesting news from a large amount of news. Most of existing news recommender systems usually learn topic-level representations of users …
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Spatial-context-aware deep neural network for multi-class image classification
2021 · arXiv (Cornell University)
Multi-label image classification is a fundamental but challenging task in computer vision. Over the past few decades, solutions exploring relationships between semantic labels have made great progress. However, the underlying spatial-contextual information of labels is …
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The Adaptation of Concept Drift: A Fit Prediction Algorithm Based on Local Optimum
2023 · IEEE Transactions on Computational Social Systems
With the rapid development of Internet industry, the learning methods based on data stream have attracted more and more attention owing to their great application value in many industries such as banking, insurance, and telecom …
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Clustering and Mining Accented Speech for Inclusive and Fair Speech Recognition
2024 · arXiv (Cornell University)
Modern automatic speech recognition (ASR) systems are typically trained on more than tens of thousands hours of speech data, which is one of the main factors for their great success. However, the distribution of such …
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Artificial intelligence in recommender systems
2020 · Complex & Intelligent Systems
Abstract Recommender systems provide personalized service support to users by learning their previous behaviors and predicting their current preferences for particular products. Artificial intelligence (AI), particularly computational intelligence and machine learning methods and algorithms, has …