Feng Xu
7 papers in the PaperMetrix corpus
Papers by this author
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ConRec: A Software Framework for Context-Aware Recommendation Based on Dynamic and Personalized Context
2015
Contextual information is proven helpful to recommender system. And context-aware recommender system(CARS) has been applied in various applications. To improve the accuracy of context-aware recommendation and make recommender application development easier, we develop a lightweight …
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Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides
2021 · Frontiers in Oncology
Objectives To develop and validate a deep learning (DL)-based primary tumor biopsy signature for predicting axillary lymph node (ALN) metastasis preoperatively in early breast cancer (EBC) patients with clinically negative ALN. Methods A total of …
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Backdoor Attack through Frequency Domain
2021 · arXiv (Cornell University)
Backdoor attacks have been shown to be a serious threat against deep learning systems such as biometric authentication and autonomous driving. An effective backdoor attack could enforce the model misbehave under certain predefined conditions, i.e., …
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Examining Employee Social Media Deviance: A Psychological Contract Breach Perspective
2022 · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences
With the prevalence of social media, employees’ deviant behaviors on social media can go viral and result in unpredictable negative outcomes beyond the workplace. This paper investigates the relationship between abusive supervision and employee social …
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Quantum evolution speed and its limit in the driven double‐well system
2023 · International Journal of Quantum Chemistry
Abstract We investigate quantum evolution speed in the driven double‐well system using the entangled trajectory molecular dynamics method. We emphasize not only the evolution speed of the quantum state but also its limit according to …
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AIGC Enabling Non-Genetic Design Methods and Practices
2024 · Applied Mathematics and Nonlinear Sciences
Abstract Artificial Intelligence Generated Content (AIGC) technology aligns seamlessly with the design requirements of non-genetic heritage, offering a viable pathway for its modernization. This paper delineates the specific design needs of non-genetic heritage and utilizes …
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Privacy enhancing and generalizable deep learning with synthetic data for mediastinal neoplasm diagnosis
2024 · npj Digital Medicine
The success of deep learning (DL) relies heavily on training data from which DL models encapsulate information. Consequently, the development and deployment of DL models expose data to potential privacy breaches, which are particularly critical …