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1,872 results on '"Zhang, Xiaorong"'

2. Efficient Implicit SDF and Color Reconstruction via Shared Feature Field

Author

Fang, Shuangkang, Qi, Dacheng, Xu, Weixin, Wang, Yufeng, Zhang, Zehao, Zhang, Xiaorong, Zhang, Huayu, Shao, Zeqi, Ding, Wenrui, Goos, Gerhard, Series 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, Cho, Minsu, editor, Laptev, Ivan, editor, Tran, Du, editor, Yao, Angela, editor, and Zha, Hongbin, editor

Published
2025
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7. Interaction-aware Traffic Prediction and Scenario-based Model Predictive Control for Autonomous Vehicles on Highways

Author

Zhang, Xiaorong, Zeinali, Sahar, and Schildbach, Georg

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

This paper addresses the problem of traffic prediction and control of autonomous vehicles on highways. A modified Interacting Multiple Model Kalman filter algorithm is applied to predict the motion behavior of the traffic participants by considering their interactions. A scenario generation component is used to produce plausible scenarios of the vehicles based on the predicted information. A novel integrated decision-making and control system is proposed by applying a Scenario-based Model Predictive Control approach. The designed controller considers safety, driving comfort, and traffic rules. The recursive feasibility of the controller is guaranteed under the inclusion of the `worst case' as an additional scenario to obtain safe inputs. Finally, the proposed scheme is evaluated using the HighD dataset. Simulation results indicate that the vehicle performs safe maneuvers in different traffic situations under the designed control framework.

Published
2023

10. A remote barrier localization method for intelligent substations using deep belief networks

Author

JI Rongrong, SHENG Haihua, SHI Jianli, LI Hai, and ZHANG Xiaorong

Subjects
intelligent substation, communication link, dbn, remote barrier localization, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

In the remote operation of intelligent substations， failures often occur due to device or network malfunctions， or inconsistencies in information， consequently hampering operation and maintenance efficiency. To address this， the paper proposes a remote barrier localization method for intelligent substations using deep belief networks （DBNs）. Firstly， the whole process of remote control in an intelligent substation is decomposed to categorize the failures into three main types. Then， DBN-Softmax classifiers are introduced to extract features and train the classification model respectively， building a remote barrier localization model. Finally， failure types and telemetry information are used to precisely locate the faults. Engineering examples have shown effective validation of the method， including its merits of short computation time and high localization accuracy.

Published
2024
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20. An Bio-Inspired Improved Self-organized Fission-Fusion Control Algorithm for Heterogeneous UAV Swarm

Author

Zhang, Xiaorong, Wang, Qing, Zhang, Zhilan, Zhang, Xinrui, Wang, Yufeng, Ding, Wenrui, Chinese Institute of Command and Control, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, 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, and Tan, Kay Chen, Series Editor

Published
2024
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21. Reinforcement Learning-Driven Adaptive Region Segmentation for Structured Mesh Generation

Author

Qiu, Boyun, Pang, Yufei, Liu, Yang, Zhang, Xiaorong, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, 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, Tan, Kay Chen, Series Editor, Jia, Yingmin, editor, Zhang, Weicun, editor, Fu, Yongling, editor, and Yang, Huihua, editor

Published
2024
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22. Imprinted Polymers on the Route to Plastibodies for Biomacromolecules (MIPs), Viruses (VIPs), and Cells (CIPs)

Author

Zhang, Xiaorong, Yarman, Aysu, Bagheri, Mahdien, El-Sherbiny, Ibrahim M., Hassan, Rabeay Y. A., Kurbanoglu, Sevinc, Waffo, Armel Franklin Tadjoung, Zebger, Ingo, Karabulut, Tutku Ceren, Bier, Frank F., Lieberzeit, Peter, Scheller, Frieder W., Scheper, Thomas, Editorial Board Member, Belkin, Shimshon, Editorial Board Member, Bley, Thomas, Editorial Board Member, Bohlmann, Jörg, Editorial Board Member, Gu, Man Bock, Editorial Board Member, Hu, Wei Shou, Editorial Board Member, Mattiasson, Bo, Editorial Board Member, Olsson, Lisbeth, Editorial Board Member, Seitz, Harald, Editorial Board Member, Silva, Ana Catarina, Editorial Board Member, Ulber, Roland, Series Editor, Zeng, An-Ping, Editorial Board Member, Zhong, Jian-Jiang, Editorial Board Member, Zhou, Weichang, Editorial Board Member, Bühler, Katja, Editorial Board Member, Lavrentieva, Antonina, Editorial Board Member, Lisdat, Fred, editor, and Plumeré, Nicolas, editor

Published
2024
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40. Arbitrage-Free Implied Volatility Surface Generation with Variational Autoencoders

Author

Ning, Brian, Jaimungal, Sebastian, Zhang, Xiaorong, and Bergeron, Maxime

Subjects
Quantitative Finance - Mathematical Finance, Computer Science - Machine Learning, Quantitative Finance - Computational Finance, Quantitative Finance - Pricing of Securities, Statistics - Machine Learning
Abstract

We propose a hybrid method for generating arbitrage-free implied volatility (IV) surfaces consistent with historical data by combining model-free Variational Autoencoders (VAEs) with continuous time stochastic differential equation (SDE) driven models. We focus on two classes of SDE models: regime switching models and L\'evy additive processes. By projecting historical surfaces onto the space of SDE model parameters, we obtain a distribution on the parameter subspace faithful to the data on which we then train a VAE. Arbitrage-free IV surfaces are then generated by sampling from the posterior distribution on the latent space, decoding to obtain SDE model parameters, and finally mapping those parameters to IV surfaces. We further refine the VAE model by including conditional features and demonstrate its superior generative out-of-sample performance., Comment: 20 pages, 7 figures

Published
2021

41. A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?

Author

Ma, Martin Q., Zhao, Yue, Zhang, Xiaorong, and Akoglu, Leman

Subjects
Computer Science - Machine Learning
Abstract

Given an unsupervised outlier detection task, how should one select a detection algorithm as well as its hyperparameters (jointly called a model)? Unsupervised model selection is notoriously difficult, in the absence of hold-out validation data with ground-truth labels. Therefore, the problem is vastly understudied. In this work, we study the feasibility of employing internal model evaluation strategies for selecting a model for outlier detection. These so-called internal strategies solely rely on the input data (without labels) and the output (outlier scores) of the candidate models. We setup (and open-source) a large testbed with 39 detection tasks and 297 candidate models comprised of 8 detectors and various hyperparameter configurations. We evaluate 7 different strategies on their ability to discriminate between models w.r.t. detection performance, without using any labels. Our study reveals room for progress -- we find that none would be practically useful, as they select models only comparable to a state-of-the-art detector (with random configuration).

Published
2021

48. IFI16 plays a critical role in avian reovirus induced cellular immunosuppression and suppresses virus replication

Author

Zhang Chengcheng, Zhang Qingqing, Hu Xiaomiao, Li Wei, Zhang Xiaorong, and Wu Yantao

Subjects
Avian reovirus, p17, IFI16, IFN-β, protein interaction, Animal culture, SF1-1100
Abstract

ABSTRACT: Avian reovirus (ARV), which commonly induces viral arthritis or tenosynovitis and immunosuppression in chickens, is associated with the nonstructural protein p17 that plays a crucial role in viral replication and regulates cellular signaling pathways through its interaction with cellular proteins. In our previous study, we identified the host protein IFN-γ-inducible protein-16 (IFI16) as an interacting partner of ARV p17 through yeast two-hybrid screening. In the current study, we further confirmed the interaction between IFI16 and p17 protein using coimmunoprecipitation, glutathione S-transferase (GST)-pulldown assay, and laser confocal microscopy techniques. Additionally, we found that the amino acid of p1761-119 is responsible for mediating the interaction with the HINa and HINb domains of IFI16. Interestingly, we observed a significant increase in IFI16 expression upon ARV infection or p17 protein exposure. Moreover, the replication of ARV was found to be largely influenced by the quantity of IFI16 protein. Overexpression of IFI16 led to a significant decrease in ARV replication, while knockdown of the IFI16 expression led to the contrary result. Additionally, our findings demonstrate that IFI16 plays a crucial role in the induction of inflammatory cytokines IFN-β and IL-1β during ARV infection as confirmed by qRT-PCR and ELISA analyses. In conclusion, our study provides novel insights into the functional role of p17 protein and the pathogenic mechanism underlying ARV infection, particularly its association with inflammatory response. Furthermore, it offers new perspectives for identifying potential therapeutic targets against ARV infection.

Published
2024
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49. Electrochemical MIP Sensors for Environmental Analysis

Author

Kurbanoglu, Sevinc, Yarman, Aysu, Zhang, Xiaorong, Scheller, Frieder W., Barceló, Damià, Series Editor, de Boer, Jacob, Editorial Board Member, Kostianoy, Andrey G., Series Editor, Garrigues, Philippe, Editorial Board Member, Hutzinger, Otto, Founding Editor, Gu, Ji-Dong, Editorial Board Member, Jones, Kevin C., Editorial Board Member, Negm, Abdelazim M., Editorial Board Member, Newton, Alice, Editorial Board Member, Nghiem, Duc Long, Editorial Board Member, Garcia-Segura, Sergi, Editorial Board Member, Verlicchi, Paola, Editorial Board Member, Wagner, Stephan, Editorial Board Member, Rocha-Santos, Teresa, Editorial Board Member, Picó, Yolanda, Editorial Board Member, Regan, Fiona, editor, and Hansen, Peter-Diedrich, editor

Published
2023
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