Wu, Xindong
Hefei University of Technology · Zhejiang Lab
9 papers on CoChatORCID 0000-0003-2396-1704
Most cited papers
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Top 10 algorithms in data mining
Wu, X., Kumar, V., Ross Quinlan, J., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G. J., Ng, A., Liu, B., Yu, P. S., et al. (2008) · Knowledge and Information Systems
Data Mining Algorithms and ApplicationsData Mining and Machine Learning Applications
Cited by 5,667
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Object Detection With Deep Learning: A Review
Zhao, Z.-Q., Zheng, P., Xu, S.-T., & Wu, X. (2019) · IEEE Transactions on Neural Networks and Learning Systems
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 5,545
- Verified
Data mining with big data
Wu, X., Zhu, X., Wu, G.-Q., & Ding, W. (2014) · IEEE Transactions on Knowledge and Data Engineering
Big Data Technologies and ApplicationsInformation Retrieval and Data Mining
Cited by 2,410
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Unifying Large Language Models and Knowledge Graphs: A Roadmap
Pan, S., Luo, L., Wang, Y., Chen, C., Wang, J., & Wu, X. (2024) · IEEE Transactions on Knowledge and Data Engineering
Topic ModelingAdvanced Graph Neural Networks
Cited by 1,376
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Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling
Yang, L., Chen, H., Li, Z., Ding, X., & Wu, X. (2023) · arXiv
Topic ModelingMultimodal Machine Learning Applications
Cited by 239
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Give us the Facts: Enhancing Large Language Models With Knowledge Graphs for Fact-Aware Language Modeling
Yang, L., Chen, H., Li, Z., Ding, X., & Wu, X. (2024) · IEEE Transactions on Knowledge and Data Engineering
Topic ModelingMultimodal Machine Learning Applications
Cited by 238
- Verified
Learning from crowdsourced labeled data: a survey
Zhang, J., Wu, X., & Sheng, V. S. (2016) · Artificial Intelligence Review
Mobile Crowdsensing and CrowdsourcingMachine Learning and Data Classification
Cited by 203
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A survey on online feature selection with streaming features
Hu, X., Zhou, P., Li, P., Wang, J., & Wu, X. (2018) · Frontiers of Computer Science
Statistical Methods and InferenceData Stream Mining Techniques
Cited by 88
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Safeguarding authenticity for mitigating the harms of generative AI: Issues, research agenda, and policies for detection, fact-checking, and ethical AI
Hamed, A. A., Zachara-Szymanska, M., & Wu, X. (2024) · iScience
Misinformation and Its ImpactsEthics and Social Impacts of AI
Cited by 38
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