Search

Your search keyword '"Chen, Jiewei"' showing total 355 results
Start Over Author "Chen, Jiewei"
355 results on '"Chen, Jiewei"'

2. An Efficient Decentralized Federated Learning Framework Based on Directed Acyclic Graph

Author

Wu, Da, Zang, Xiuhuan, Chen, Jiewei, Wu, Xinping, Lu, Yu, Qi, Feng, 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, Zhang, Yonghong, editor, Qi, Lianyong, editor, Liu, Qi, editor, Yin, Guangqiang, editor, and Liu, Xiaodong, editor

Published
2024
Full Text
View/download PDF

3. An DAG-Based Resource Allocation Mechanism of Federated Learning for New Power Systems

Author

Hao, Jiakai, Zhao, Guanghuai, Jin, Ming, Xiao, Yitao, Li, Yuting, Chen, Jiewei, 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, Zhang, Yonghong, editor, Qi, Lianyong, editor, Liu, Qi, editor, Yin, Guangqiang, editor, and Liu, Xiaodong, editor

Published
2024
Full Text
View/download PDF

4. Reliable and Efficient Routing Management Mechanism for Power Communication Network Based on Multi-party Cooperation

Author

Kang, Zhongmiao, Huang, Donghai, Bao, Yuben, Zhang, Peiming, Chen, Jiewei, 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, Zhang, Yonghong, editor, Qi, Lianyong, editor, Liu, Qi, editor, Yin, Guangqiang, editor, and Liu, Xiaodong, editor

Published
2024
Full Text
View/download PDF

7. Field-effect chirality devices with Dirac semimetal

Author

Chen, Jiewei, Zhang, Ting, Wang, Jingli, Zhang, Ning, Ji, Wei, Zhou, Shuyun, and Chai, Yang

Subjects
Physics - Applied Physics
Abstract

Charge-based field-effect transistors (FETs) greatly suffer from unavoidable carrier scattering and heat dissipation. In analogy to valley degree of freedom in semiconductors, chiral anomaly current in Weyl/Dirac semimetals is theoretically predicted to be nearly non-dissipative over long distances, but still lacks experimental ways to efficiently control its transport. Here we demonstrate field-effect chirality devices with Dirac semimetal PtSe2, in which its Fermi level is close to the Dirac point in conduction band owing to intrinsic defects. The chiral anomaly is further corroborated with nonlocal valley transport measurement, which can also be effectively modulated by external fields, showing robust nonlocal valley transport with micrometer diffusion length. Similar to charge-based FETs, the chiral conductivity in PtSe2 devices can be modulated by electrostatic gating with an ON/OFF ratio more than 103. We also demonstrate basic logic functions in the devices with electric and magnetic fields as input signals.

Published
2021

9. Federated Learning Meets Edge Computing: A Hierarchical Aggregation Mechanism for Mobile Devices

Author

Chen, Jiewei, Li, Wenjing, Yang, Guoming, Qiu, Xuesong, Guo, Shaoyong, 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, Wang, Lei, editor, Segal, Michael, editor, Chen, Jenhui, editor, and Qiu, Tie, editor

Published
2022
Full Text
View/download PDF

10. Split Learning Based on Self-supervised Learning

Author

Yang, Shaojie, Chen, Hao, Huang, Jianping, Yan, Yong, Chen, Jiewei, Xiong, Ao, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, 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, Hirche, Sandra, 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, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, 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, Liu, Qi, editor, Liu, Xiaodong, editor, Cheng, Jieren, editor, Shen, Tao, editor, and Tian, Yuan, editor

Published
2022
Full Text
View/download PDF

11. Blockchain-Enabled Hierarchical Federated Learning in Resource-Constrained Power Systems

Author

Yang, Huifeng, Chen, Liandong, Cheng, Kai, Zhang, Lei, Shen, Peipei, Chen, Jiewei, Guo, Shaoyong, Li, Qichen, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, 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, Hirche, Sandra, 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, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, 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, Liu, Qi, editor, Liu, Xiaodong, editor, Cheng, Jieren, editor, Shen, Tao, editor, and Tian, Yuan, editor

Published
2022
Full Text
View/download PDF

14. Heat capacities, entropies, and Gibbs free energies of formation of low-k amorphous Si(O)CH dielectric films and implications for stability during processing

Author

Chen, Jiewei, Calvin, Jason, Asplund, Megan, King, Sean W, Woodfield, Brian F, and Navrotsky, Alexandra

Subjects
Heat capacity, Entropy Gibbs free energy, Amorphous low-k SiOCH films, Formation enthalpy, Thermodynamic stability, Physical Chemistry (incl. Structural), Theoretical and Computational Chemistry, Interdisciplinary Engineering, Chemical Engineering
Abstract

Low-temperature heat capacities of a series of low dielectric constant amorphous films with different compositions were measured from 1.8 to 300 K using a Quantum Design Physical Property Measurement System (PPMS). By using piece wise functions to fit the heat capacities, the characteristic Debye temperatures ΘD and the standard molar entropies are determined. The standard molar entropies of these materials range from 8.8 J·K−1·mol−1 to 17.5 J·K−1·mol−1. Together with the formation enthalpies obtained by high temperature oxidative solution calorimetry in molten sodium molybdate solvent, the corresponding Gibbs free energies from elements and crystalline constituents (and gaseous products as required) are obtained. The Gibbs free energy terms of these materials are dominated by the enthalpy term rather than the entropy. These samples are thermodynamically stable at room temperature with respect to elements and the samples with oxygen incorporated are generally thermodynamically more stable than the others. However, compared to crystalline binary counterparts and gases, some of these materials possess either positive or close-to-zero Gibbs free energies of formation, indicating that they are thermodynamically metastable; while, for the rest, which are stable at ambient conditions, elevation of temperature will eventually lead to decomposition.

Published
2019

41. An in-memory computing architecture based on a duplex 2D material structure for in-situ machine learning

Author

Wang, Xinran, primary, Ning, Hongkai, additional, Yu, Zhihao, additional, Zhang, Qingtian, additional, Wen, Hengdi, additional, Gao, Bin, additional, Mao, Yun, additional, Li, Yuankun, additional, Zhou, Ying, additional, Zhou, Yue, additional, Chen, Jiewei, additional, Liu, Lei, additional, Wang, Wenfeng, additional, Li, Taotao, additional, Li, Yating, additional, Meng, Wanqing, additional, Li, Weisheng, additional, Li, Yun, additional, Qiu, Hao, additional, Shi, Yi, additional, Chai, Yang, additional, and Wu, Huaqiang, additional

Published
2023
Full Text
View/download PDF

42. Φ-OTDR Event Recognition System Based on Valuable Data Selection

Author

Shi, Yi, Chen, Jiewei, Dai, Shangwei, Wei, Zhixiang, and Wei, Chuliang

Abstract

In the processing of recognizing Φ-OTDR event signals by deep learning models, a large amount of annotated data is required for model training. However, the data annotation is a major challenge for a lot of unlabeled data and the labeling cost are high. This article proposes a valuable signal data selection method for Φ-OTDR sensing system. The data samples that are beneficial for training from the unlabeled data set is selected based on their uncertainty values. Through only labeling these valuable data samples and training the classification model with them, the labeling cost can be saved a lot and the classification model can keep its classification accuracy. The experiments show that this method can save 83.77% on manual labeling cost and the classification accuracy can still reach 96.37%, which is similar to the classification accuracy of the model trained by labeling all the data.

Published
2024
Full Text
View/download PDF

46. Topological phase change transistors based on tellurium Weyl semiconductor

Author

Chen, Jiewei, Zhang, Ting, Wang, Jingli, Xu, Lin, Lin, Ziyuan, Liu, Jidong, Wang, Cong, Zhang, Ning, Lau, Shu Ping, Zhang, Wenjing, Chhowalla, Manish, Chai, Yang, Chen, Jiewei [0000-0002-9756-742X], Zhang, Ting [0000-0001-7933-4940], Wang, Jingli [0000-0002-6133-1212], Xu, Lin [0000-0003-1781-1638], Zhang, Ning [0000-0002-0755-1708], Lau, Shu Ping [0000-0002-5315-8472], Chhowalla, Manish [0000-0002-8183-4044], Chai, Yang [0000-0002-8943-0861], and Apollo - University of Cambridge Repository

Subjects
Multidisciplinary, 7 Affordable and Clean Energy, 5104 Condensed Matter Physics, 51 Physical Sciences
Abstract

Modern electronics demand transistors with extremely high performance and energy efficiency. Charge-based transistors with conventional semiconductors experience substantial heat dissipation because of carrier scattering. Here, we demonstrate low-loss topological phase change transistors (TPCTs) based on tellurium, a Weyl semiconductor. By modulating the energy separation between the Fermi level and the Weyl point of tellurium through electrostatic gate modulation, the device exhibits topological phase change between Weyl (Chern number ≠ 0) and conventional (Chern number = 0) semiconductors. In the Weyl ON state, the device has low-loss transport characteristics due to the global topology of gauge fields against external perturbations; the OFF state exhibits trivial charge transport in the conventional phase by moving the Fermi level into the bandgap. The TPCTs show a high ON/OFF ratio (10 8 ) at low operation voltage (≤2 volts) and high ON-state conductance (39 mS/μm). Our studies provide alternative strategies for realizing ultralow power electronics.

Published
2022

Catalog

Books, media, physical & digital resources
See catalog results