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Jinghua Zhao 0001
Person information
- affiliation: University of Shanghai for Science and Technology, Business School, China
Other persons with the same name
- Jinghua Zhao — disambiguation page
- Jinghua Zhao 0002
— Jilin Normal University, State Key Laboratory of Automotive Simulation and Control, Computer College, China
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2020 – today
- 2024
- [j20]Xiaofeng Weng, Jinghua Zhao, Chenxi Jiang, Yiying Ji:
Research on sentiment classification of futures predictive texts based on BERT. Computing 106(12): 4231-4248 (2024) - [j19]Jinghua Zhao:
Special Issue on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT2022). Neural Comput. Appl. 36(5): 2119-2120 (2024) - [j18]Jinghua Zhao, Ting Lan, Haiying Rong, Shanshan Liu:
Exploring the evolutionary game of rumor control based on prospect theory. Neural Comput. Appl. 36(17): 9675-9685 (2024) - [j17]Jinghua Zhao
, Xiting Lyu
, Haiying Rong, Jiale Zhao:
TRGCN: A Prediction Model for Information Diffusion Based on Transformer and Relational Graph Convolutional Network. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(10): 143:1-143:17 (2024) - [j16]Jinghua Zhao
, Jiale Zhao, Chenxin Chi, Chengyin Wang, Xiaohua Zhao, Amar Jain:
Federated Learning-Inspired User Personality Prediction Using Sentiment Analysis and Topic Preference. IEEE Trans. Consumer Electron. 70(1): 2729-2737 (2024) - 2023
- [j15]Jinghua Zhao, Haiying Rong:
Multi-attribute decision-making based on data mining under a dynamic hybrid trust network. Comput. Ind. Eng. 185: 109672 (2023) - [j14]Jinghua Zhao, Jiale Zhao
, Feng Juan:
Information diffusion prediction based on cascade sequences and social topology. Comput. Electr. Eng. 109(Part B): 108782 (2023) - [j13]Jinghua Zhao:
Special issue on 2021 international conference on machine learning and big data analytics for iot security and privacy. Neural Comput. Appl. 35(3): 2025-2026 (2023) - 2022
- [j12]Jinghua Zhao, Huihong He, Xiaohua Zhao, Jie Lin:
Modeling and simulation of microblog-based public health emergency-associated public opinion communication. Inf. Process. Manag. 59(2): 102846 (2022) - [j11]Da-Lin Zeng, Jinghua Zhao, Wei Zhang, Yan Zhou:
User-interactive innovation knowledge acquisition model based on social media. Inf. Process. Manag. 59(3): 102923 (2022) - [e3]John MacIntyre, Jinghua Zhao, Xiaomeng Ma:
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy - SPIoT-2021, Shanghai, China, 6-8 November, 2021, Volume 1. Lecture Notes on Data Engineering and Communications Technologies 97, Springer 2022, ISBN 978-3-030-89507-5 [contents] - 2021
- [j10]Jinghua Zhao, Da-Lin Zeng, Shuang Liang, Huilin Kang, Qinming Liu:
Prediction model for stock price trend based on recurrent neural network. J. Ambient Intell. Humaniz. Comput. 12(1): 745-753 (2021) - [j9]Jing-hua Zhao, Da-Lin Zeng, Jiang-Tao Qin, Hong-Ming Si, Xiao-Fang Liu:
Simulation and modeling of microblog-based spread of public opinions on emergencies. Neural Comput. Appl. 33(2): 547-564 (2021) - [j8]Jinghua Zhao, Qingyuan Zhou:
Special issue on 2020 international conference on machine learning and big data analytics for IoT security and privacy (SPIoT-2020). Neural Comput. Appl. 33(9): 3869-3870 (2021) - [j7]Jinghua Zhao, Junyu Xuan:
Special issue on intelligent computing methodologies in machine learning for IoT applications. Neural Comput. Appl. 33(14): 8105-8106 (2021) - [e2]John MacIntyre, Jinghua Zhao, Xiaomeng Ma:
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy - SPIoT-2020, Shanghai, China, 6-8 November 2020, Volume 1. Advances in Intelligent Systems and Computing 1282, Springer 2021, ISBN 978-3-030-62742-3 [contents] - [e1]John MacIntyre, Jinghua Zhao, Xiaomeng Ma:
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy - SPIoT-2020, Shanghai, China, 6-8 November 2020, Volume 2. Advances in Intelligent Systems and Computing 1283, Springer 2021, ISBN 978-3-030-62745-4 [contents] - 2020
- [j6]Jing-Hua Zhao, Da-Lin Zeng, Ting-Wei Zhou
, Yan Hui, Na Sun:
Analysis of factors affecting the profits of closed-loop supply chain members under different subsidy objects. Comput. Syst. Sci. Eng. 35(3) (2020) - [j5]Jing-Hua Zhao, Da-Lin Zeng, Ting-Wei Zhou
, Ze-Chao Zhu:
Data mining of urban new energy vehicles in an intelligent government subsidy environment using closed-loop supply chain pricing model. Comput. Syst. Sci. Eng. 35(3) (2020) - [j4]Jinghua Zhao, Na Sun, Wanyun Cheng:
Logistics forum based prediction on stock index using intelligent data analysis and processing of online web posts. J. Ambient Intell. Humaniz. Comput. 11(9): 3575-3584 (2020) - [j3]Hongbo Lin, Jinghua Zhao, Shuang Liang, Huilin Kang:
Prediction model for stock price trend based on convolution neural network. J. Intell. Fuzzy Syst. 39(4): 4999-5008 (2020) - [j2]Jinghua Zhao, Na Sun:
Government subsidies-based profits distribution pattern analysis in closed-loop supply chain using game theory. Neural Comput. Appl. 32(6): 1715-1724 (2020) - [j1]Jinghua Zhao, Da-Lin Zeng, Yujie Xiao
, Liping Che, Mengjiao Wang:
User personality prediction based on topic preference and sentiment analysis using LSTM model. Pattern Recognit. Lett. 138: 397-402 (2020)
Coauthor Index

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