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Pengda Wang

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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.

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2020 – today

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2025
[j7]
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Yining Xie, Xiaodong Wang, Pengda Wang, Xueyan Bi:
A pseudo-label supervised graph fusion attention network for drug-target interaction prediction. Expert Syst. Appl. 259: 125264 (2025)
2024
[j6]
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Pengda Wang, Zhaowei Liu, Zhanyu Wang, Zongxing Zhao, Dong Yang, Weiqing Yan:
Graph generative adversarial networks with evolutionary algorithm. Appl. Soft Comput. 164: 111981 (2024)
[j5]
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Rufei Gao, Zhaowei Liu, Chenxi Jiang, Yingjie Wang, Shenqiang Wang, Pengda Wang:
BI-FedGNN: Federated graph neural networks framework based on Bayesian inference. Neural Networks 169: 143-153 (2024)
[j4]
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Hanzhi Peng, Sheng Huang, Pengda Wang, Qiuwei Wu, Juan Wei, Wu Liao:
An Online Feedback-Based Local Method for Topology Identification and Var/Volt Control in Radial Wind Farms. IEEE Trans. Ind. Informatics 20(3): 4292-4304 (2024)
[j3]
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Feifan Shen, Xiaodong Zheng, Mingcheng Lyu, Sheng Huang, Qiuwei Wu, Yangwu Shen, Pengda Wang, Yun Zhou:
Transactive Energy-Based Sequential Load Restoration of Distribution Systems With Networked Microgrids Under Uncertainty. IEEE Trans. Smart Grid 15(3): 2601-2613 (2024)
[i1]
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Pengda Wang, Zilin Xiao, Hanjie Chen, Frederick L. Oswald:
Will the Real Linda Please Stand up...to Large Language Models? Examining the Representativeness Heuristic in LLMs. CoRR abs/2404.01461 (2024)
2021
[j2]
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Pengda Wang, Xiangwei Kong, Weikuo Guo, Xunpeng Zhang:
Exclusive Feature Constrained Class Activation Mapping for Better Visual Explanation. IEEE Access 9: 61417-61428 (2021)
[j1]
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Yanbin Li, Yu Liu, Yongheng Dai, Pengda Wang:
A party-adaptive variant of LowGear. J. Inf. Secur. Appl. 58: 102763 (2021)

2010 – 2019

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2019
[c2]
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Xunpeng Zhang, Xiangwei Kong, Pengda Wang, Bo Wang:
Cover-Source Mismatch in Deep Spatial Steganalysis. IWDW 2019: 71-83
2017
[c1]
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Di Zhang, Canbing Li, Diansheng Luo, Chong Wang, Long Zeng, Bowen Yan, Pengda Wang:
Prediction of PV output based on local mean decomposition under limited information. IECON 2017: 5945-5950

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