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  1. No Access

    Article

    A binary bat algorithm with improved crossover operators and Cauchy mutation for unit commitment problem

    Power system operators are faced with the problem of unit commitment belonging to mixed integer programming, which becomes very complicated, as units become large-scale and highly constrained. Because unit com...

    Aokang Pang, Huijun Liang, Chenhao Lin, Lei Yao in The Journal of Supercomputing (2024)

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    Article

    Kidney Function and Cardiovascular Disease: Evidence from Observational Studies and Mendelian Randomization Analyses

    Observational studies have identified that declined kidney function was associated with a higher risk of cardiovascular disease (CVD). However, the causation of such associations requires further exploration. ...

    Wenjun Yang, Xuemei Wu, Manying Zhao, Jianying Hu, Chenhao Lin, Zhendong Mei in Phenomics (2024)

  3. No Access

    Chapter and Conference Paper

    DeepSensitive: A Fuzzing Test for Deep Neural Networks with Sensitive Neurons

    Deep learning (DL) systems have exhibited remarkable capabilities in various domains, such as image classification, natural language processing, and recommender systems, thereby establishing themselves as sign...

    Zixuan Yang, Chenhao Lin, Pengwei Hu, Chao Shen in Applied Intelligence (2024)

  4. No Access

    Chapter and Conference Paper

    Deepfake Detection Performance Evaluation and Enhancement Through Parameter Optimization

    Deepfake technology has become a subject of concern due to its potential for spreading misinformation and facilitating deceptive activities. To address these issues, various deepfake detection approaches have ...

    Bowen Pei, **gyi Deng, Chenhao Lin, Pengwei Hu, Chao Shen in Applied Intelligence (2024)

  5. No Access

    Chapter and Conference Paper

    A Surrogate-Based Optimization Method for Solving Economic Emission Dispatch Problems with Green Certificate Trading and Wind Power

    To reduce the impact of greenhouse effect, the deployment and utilization of renewable energy sources such as wind power has become an inevitable trend. Therefore, the decision of economic emission dispatch (E...

    Chen Lu, Huijun Liang, Heng **e, Chenhao Lin in Bio-Inspired Computing: Theories and Appli… (2024)

  6. No Access

    Chapter and Conference Paper

    Black-Box Fairness Testing with Shadow Models

    Discrimination in decision-making systems is of growing concern as machine learning techniques (especially deep learning) are increasingly applied in systems with societal impact. Multiple recent works have pr...

    Weipeng Jiang, Chao Shen, Chenhao Lin in Information and Communications Security (2023)

  7. Article

    Open Access

    The causal associations of circulating amino acids with blood pressure: a Mendelian randomization study

    Circulating levels of amino acids were associated with blood pressure (BP) in observational studies. However, the causation of such associations has been hypothesized but is difficult to prove in human studies...

    Chenhao Lin, Zhonghan Sun, Zhendong Mei, Hailuan Zeng, Manying Zhao in BMC Medicine (2022)

  8. Article

    Open Access

    Associations of visceral adipose tissue with bone mineral density and fracture: observational and Mendelian randomization studies

    The associations between visceral adipose tissue (VAT) and bone mineral density (BMD) or fracture have been controversial and the causality of the associations remains to be assessed. This study aimed to explo...

    Jianying Hu, Manying Zhao, Chenhao Lin, Zhonghan Sun in Nutrition & Metabolism (2022)

  9. No Access

    Article

    Genetically predicted body composition in relation to cardiometabolic traits: a Mendelian randomization study

    Fat mass and fat-free mass are found to be associated with different health outcomes in observational studies, but the underlying causality remains unclear. We aimed to investigate the causal relationships bet...

    Hailuan Zeng, Chenhao Lin, Sijia Wang, Yan Zheng in European Journal of Epidemiology (2021)

  10. No Access

    Chapter and Conference Paper

    Rethinking Adversarial Examples Exploiting Frequency-Based Analysis

    Deep neural networks (DNNs) have been recently found vulnerable to adversarial examples. Several previous works attempt to relate the low-frequency or high-frequency parts of adversarial inputs with the robust...

    Sicong Han, Chenhao Lin, Chao Shen, Qian Wang in Information and Communications Security (2021)

  11. No Access

    Chapter and Conference Paper

    RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition

    The attention-based encoder-decoder framework has recently achieved impressive results for scene text recognition, and many variants have emerged with improvements in recognition quality. However, it performs ...

    **aoyu Yue, Zhanghui Kuang, Chenhao Lin, Hongbin Sun in Computer Vision – ECCV 2020 (2020)