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240 results on '"Zheng, Yuhan"'

1. Evaluating Fairness in Black-box Algorithmic Markets: A Case Study of Ride Sharing in Chicago

Author

Liu, Yuhan, Zheng, Yuhan, Zhang, Siyuan, and Liu, Lydia T.

Subjects
Computer Science - Human-Computer Interaction
Abstract

This study examines fairness within the rideshare industry, focusing on both drivers' wages and riders' trip fares. Through quantitative analysis, we found that drivers' hourly wages are significantly influenced by factors such as race/ethnicity, health insurance status, tenure to the platform, and working hours. Despite platforms' policies not intentionally embedding biases, disparities persist based on these characteristics. For ride fares, we propose a method to audit the pricing policy of a proprietary algorithm by replicating it; we conduct a hypothesis test to determine if the predicted rideshare fare is greater than the taxi fare, taking into account the approximation error in the replicated model. Challenges in accessing data and transparency hinder our ability to isolate discrimination from other factors, underscoring the need for collaboration with rideshare platforms and drivers to enhance fairness in algorithmic wage determination and pricing., Comment: Accepted to the Humans, Algorithmic Decision-Making and Society: Modeling Interactions and Impact, co-located with the International Conference on Machine Learning, Vienna, Austria

Published
2024

2. Quantum Equation-of-Motion Method with Single, Double, and Triple Excitations

Author

Zheng, Yuhan, Liu, Jie, Li, Zhenyu, and Yang, Jinlong

Subjects
Quantum Physics
Abstract

The quantum equation-of-motion (qEOM) method with singles and doubles has been suggested to study electronically excited states while it fails to predict the excitation energies dominated by double excitations. In this work, we present an efficient implementation of the qEOM method with single, double and triple excitations. In order to reduce the computational complexity, we utilize the point group symmetry and perturbation theory to screen triple excitation operators, and the scaling is reduced from $N_o^6N_v^6$ to $N_o^5N_v^5$. Furthermore, we introduce a perturbation correction to the excitation energy to account for the effect of ignored triple excitation operators. We apply this method to study challenging cases, for which the qEOM-SD method exhibits large errors, such as the 2 $^1\Delta$ excited state of $\rm{CH}^+$ and the 2 $^1\Sigma$ state of $\rm{H}_8$ molecule. Our new method yields the energy errors less than 0.18 eV.

Published
2024

3. Spatial-Spectral Attention Sparse Unmixing Network Based on Algorithm Unrolling

Author

Lv, Zhijie, Zheng, Yuhan, Yu, Shengjie, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Wang, Wei, editor, Liu, Xin, editor, Na, Zhenyu, editor, and Zhang, Baoju, editor

Published
2024
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4. Multiview ConvLSTM Based on Autoencoder for Hyperspectral Sparse Unmixing

Author

Yu, Shengjie, Zheng, Yuhan, Lv, Zhijie, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Wang, Wei, editor, Liu, Xin, editor, Na, Zhenyu, editor, and Zhang, Baoju, editor

Published
2024
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5. Brainstem Functional Parcellation Based on Spatial Connectivity Features Using Functional Magnetic Resonance Imaging

Author

Wang, Meiyi, Liang, Zuyang, Zhang, Cong, Zheng, Yuhan, Chang, Chunqi, Cai, Jiayue, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Fang, Lu, editor, Pei, Jian, editor, Zhai, Guangtao, editor, and Wang, Ruiping, editor

Published
2024
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6. An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images

Author

Zheng, Yuhan, Wu, Fuping, and Papież, Bartłomiej W.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Diabetic retinopathy (DR) is a complication of diabetes, and one of the major causes of vision impairment in the global population. As the early-stage manifestation of DR is usually very mild and hard to detect, an accurate diagnosis via eye-screening is clinically important to prevent vision loss at later stages. In this work, we propose an ensemble method to automatically grade DR using ultra-wide optical coherence tomography angiography (UW-OCTA) images available from Diabetic Retinopathy Analysis Challenge (DRAC) 2022. First, we adopt the state-of-the-art classification networks, i.e., ResNet, DenseNet, EfficientNet, and VGG, and train them to grade UW-OCTA images with different splits of the available dataset. Ultimately, we obtain 25 models, of which, the top 16 models are selected and ensembled to generate the final predictions. During the training process, we also investigate the multi-task learning strategy, and add an auxiliary classification task, the Image Quality Assessment, to improve the model performance. Our final ensemble model achieved a quadratic weighted kappa (QWK) of 0.9346 and an Area Under Curve (AUC) of 0.9766 on the internal testing dataset, and the QWK of 0.839 and the AUC of 0.8978 on the DRAC challenge testing dataset., Comment: 13 pages, 6 figures, 5 tables. To appear in Diabetic Retinopathy Analysis Challenge (DRAC), Bin Sheng et al., MICCAI 2022 Challenge, Lecture Notes in Computer Science, Springer

Published
2022

13. Collaborative Sparse Unmixing Network Based on Deep Algorithm Unrolling

Author

Zheng, Yuhan, Chen, Mengyue, Shi, Donghao, Ren, Guanglong, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Wang, Wei, editor, Liu, Xin, editor, Na, Zhenyu, editor, and Zhang, Baoju, editor

Published
2023
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20. Research on the Model and Method of Site Selection for Power Grid Material Distribution Center

Author

Zheng Yuhan and Wang Shanshan

Subjects
Social Sciences
Abstract

This paper conducts an analysis of the site selection methods for power grid material distribution centers. It proposes the fundamental principles for site selection and organizes and compares representative models and commonly used methods in site selection issues. Taking the establishment and solving process of the site selection model for power grid material distribution centers as an example, the specific methods and procedures of Sparrow Search Algorithm applied to site selection problems are explained, and analyzes the shortcomings of this method. Finally, building upon the comparison and summary of simulated annealing algorithm and Sparrow Search Algorithm in the preceding sections, this paper combines their strengths to propose an approach for optimizing the solution method that is, using the former to update the iterative optimal solution of the latter, in order to reduce the risk of falling into local optimization, enhance the accuracy of problem-solving, and improve distribution efficiency. This contributes as a reference for similar site planning and decision-making processes.

Published
2024
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25. Indoor Mobile Robot Socially Concomitant Navigation System

Author

Zhang, Rui, Jiang, Wanyue, Zhang, Zhonghao, Zheng, Yuhan, Ge, Shuzhi Sam, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cavallo, Filippo, editor, Cabibihan, John-John, editor, Fiorini, Laura, editor, Sorrentino, Alessandra, editor, He, Hongsheng, editor, Liu, Xiaorui, editor, Matsumoto, Yoshio, editor, and Ge, Shuzhi Sam, editor

Published
2022
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26. Robot Differential Behavioral Expression in Different Scenarios

Author

Zhang, Zhonghao, Jiang, Wanyue, Zhang, Rui, Zheng, Yuhan, Ge, Shuzhi Sam, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cavallo, Filippo, editor, Cabibihan, John-John, editor, Fiorini, Laura, editor, Sorrentino, Alessandra, editor, He, Hongsheng, editor, Liu, Xiaorui, editor, Matsumoto, Yoshio, editor, and Ge, Shuzhi Sam, editor

Published
2022
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32. Designing high-efficiency extended depth-of-focus metalens via topology-shape optimization

Author

Zheng Yuhan, Xu Mingfeng, Pu Mingbo, Zhang Fei, Sang Di, Guo Yinghui, Li Xiong, Ma Xiaoliang, and Luo Xiangang

Subjects
extended depth-of-focus, metalens, topology optimization, Physics, QC1-999
Abstract

Longitudinal optical field modulation is of critical importance in a wide range of applications, including optical imaging, spectroscopy, and optical manipulation. However, it remains a considerable challenge to realize a uniformly distributed light field with extended depth-of-focus. Here, a high-efficiency extended depth-of-focus metalens is proposed by adjoint-based topology-shape optimization approach, wherein the theoretical electric field intensity corresponding to a variable focal-length phase is utilized as the figure of merit. Using a dozen of metalens with random structure parameters as initial structures, the average focal depth of topology-shape optimized metalens is greatly improved up to 18.80 μm (about 29.7λ), which is 1.54 times higher than the diffraction-limited focal depth. Moreover, all the topology-shape optimized metalens exhibit high diffraction efficiency exceeding 0.7 over the whole focal depth range, which is approximately three times greater than that of the forward design. Our results offer a new insight into the design of extended depth-of-focus metalens and may find potential applications in imaging, holography, and optical fabrication.

Published
2022
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35. Homologous polydopamine ameliorates haemolysis of melittin for enhancing its anticancer efficacy.

Author

Zheng, Yuhan, Wei, Qingyun, Han, Xuan, Tao, Xiangmin, Cao, Tao, Chen, Tianbao, Cao, Peng, and Zhan, Qichen

Abstract

Despite exhibiting potent anticancer activity, the strong hemolytic properties of melittin (MEL) significantly restrict its delivery efficiency and clinical applications. To address this issue, we have devised a strategy wherein homologous dopamine (DA), an essential component of bee venom, is harnessed as a vehicle for the synthesis of MEL–polydopamine (PDA) nanoparticles (MP NPs). The ingenious approach lies in the fact that MEL is a basic polypeptide, and the polymerization of DA is also conducted under alkaline conditions, indicating the distinctive advantages of PDA in MEL encapsulation. Furthermore, MP NPs are modified with folic acid to fabricate tumor-targeted nanomedicine (MPF NPs). MPF NPs can ameliorate the hemolysis of MEL in drug delivery and undergo degradation triggered by high levels of reactive oxygen species (ROS) within solid tumors, thereby facilitating MEL release and subsequent restoration of anticancer activity. After cellular uptake, MPF NPs induce cell apoptosis through the PI3K/Akt-mediated p53 signaling pathway. The tumor growth inhibitory rate of MPF NPs in FA receptor-positive 4T1 and CT26 xenograft mice reached 78.04% and 81.66%, which was significantly higher compared to that in FA receptor-negative HepG2 xenograft mice (45.79%). Homologous vehicles provide a new perspective for nanomedicine design. [ABSTRACT FROM AUTHOR]

Published
2024
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36. Does internet development affect urban economic resilience? New evidence from China.

Author

Shi, Fangyuan, Zheng, Yuhan, and Liu, Xuan

Subjects
URBAN community development, INTERNET
Abstract

Global macroeconomic development is faced with great uncertainty, especially the repeated impact of COVID-19, which exacerbate the challenges. This study explores the impact of Internet development on the resilience of cities. In the first place, a theoretical model is used to analyse how Internet development affects productivity and further influences urban economic resilience. Based on this, a long-differences model is established for empirical analysis. The study found that improving Internet development is an important step enhancing urban economic resilience. The results provide new perspectives and evidence for the study of urban economic resilience. [ABSTRACT FROM AUTHOR]

Published
2024
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45. Opportunities for blue carbon strategies in China

Author

Wu, Jiaping, Zhang, Haibo, Pan, Yiwen, Krause-Jensen, Dorte, He, Zhiguo, Fan, Wei, Xiao, Xi, Chung, Ikkyo, Marbà, Nuria, Serrano, Oscar, Rivkin, Richard B., Zheng, Yuhan, Gu, Jiali, Zhang, Xiujuan, Zhang, Zhaohui, Zhao, Peng, Qiu, Wanfei, Chen, Guangcheng, and Duarte, Carlos M.

Published
2020
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