Yuhong Zhang, female, Ph.D., associate professor, master guide, Yuncheng, Shanxi Province, China, graduated from Hefei University of Technology in 2011, majoring in computer application technology, and obtained her Ph.D. degree. She is mainly engaged in the research of data mining and machine learning, and in recent years, she has conducted related research on migration learning, graph machine learning and knowledge graph. He has presided over or participated in more than 10 projects, including the National Key Research and Development Programme and the National Natural Science Foundation of China. He has published more than 50 SCI and EI papers in important academic journals and conferences at home and abroad, and applied for more than 20 national invention patents. He is a member of the Special Committee on Granular Computing and Knowledge Discovery of the Chinese Society for Artificial Intelligence, the Deputy Secretary General of the Anhui Society for Artificial Intelligence, and a reviewer for many international journals and conferences, such as TNNLS, ESWA, TBD, and China Journal of Computers.

Publications：

1.Yuhong Zhang, Congmei Shi, Xinzheng Li, Zan Zhang and Xuegang Hu. Multi-component Similarity Graphs for Cross-network Node Classification，IEEE Transactions on Artificial Intelligence. doi:10.1109/TAI.2023.3307105.

2. Zhang Yuhong, Zhi Wenwu, Li Peipei, Hu Xuegang. Semi-Supervised Method for Cross-Lingual Word Embedding Based on an Adversarial Model with Double Discriminators[J]. Journal of Computer Research and Development, 2023, 60(9): 2127-2136.

3.Yuhong Zhang, Jianqing Wu, Kui Yu, Xindong Wu. Independent Relation Representation With Line Graph for Cross-Lingual Entity Alignment  IEE Transaction on  Knowledge and Data Engineering. https://doi.org/10.1109/TKDE.2022.3232138.

4.Yuling Li, Kui Yu, Xiaoling Huang, Yuhong Zhang. Learning Inter-Entity-Interaction for Few-Shot Knowledge Graph Completion. EMNLP 2022: 7691-7700.

5.Yuling Li, Kui Yu, Yuhong Zhang. Learning Cross-Lingual Mappings in Imperfectly Isomorphic Embedding Spaces. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2630-2642 (2021)

6.Yuling Li, Yuhong Zhang, Kui Yu, Xuegang Hu. Adversarial training with Wasserstein distance for learning cross-lingual word embeddings. Appl. Intell. 51(11): 7666-7678 (2021)

7.Shuai Yang, Yuhong Zhang, Hao Wang, Peipei Li, Xuegang Hu. Representation learning via serial robust autoencoder for domain adaptation. Expert Syst. Appl. 160: 113635. (2020)

8.Yuhong Zhang, Yuling Li, Yi Zhu, Xuegang Hu. Wasserstein GAN based on Autoencoder with back-translation for cross-lingual embedding mappings. Pattern Recognit. Lett. 129: 311-316 (2020)

The scientific research projects chaired and participated in:

1. Natural Science Foundation of Anhui Province, Research on Transfer Learning Method Based on Knowledge Graph (Code: 2208085MF170), 2022.01-2024.12.  

2. Anhui University Collaborative Innovation Project, Research on Reasoning and Decision Making Model for Intelligent Search in Cyberspace (Code: GXXT-2022-040). 2022-2023. 

3. Hosted the National Natural Science Foundation of China Youth Fund Project, "Research on Key Issues of Migration Learning in Unlabelled Data Streams", Project No. 61305063, national level.

4. Hosted the project of Anhui Provincial Natural Science Youth Foundation, "Research on Multi-Domain Direct-Push Migration Learning Methods", Project No. 1208085QF122, provincial and ministerial level.

5. Hosted Hefei University of Technology Doctoral Special Research Fund, "Research on Direct Push Transfer Learning Methods for Emotion Classification Problems", Project No.: 2011HGBZ1329, university level.

6. Hosted the "Research on Emotion Classification Methods of Multi-Domain Commentary Information Based on Transfer Learning" of Hefei University of Technology's Young Teachers Innovation Project, Project No.: 2011HGQC1013, university level.

7. Hosted the "Research on Classification Methods of Noisy Data Streams" of Hefei University of Technology's Scientific Research and Development Fund, Project No.: 2010HGXJ0013, university level.

8. Participated in the National Natural Science Foundation of China's top-level project "Research on Conceptual Drift of Data Streams Based on Feature Discovery", Project No.: 60975034, national level.

9. Participated in the top-level project of Natural Science Foundation of Anhui Province, "Research on Concept Drift in Data Stream and Its Application Based on Drift Feature Discovery", Project No. 090412044, provincial and ministerial level.

10. Participated in the top-level project of National Natural Science Foundation of China, "Research on Key Issues of Web Information Extraction Based on Tree Structure Patterns", Project No. 61273297, national level.

11. Participated in the top-level project of National Natural Science Foundation of China, "Research on the classification of incompletely labelled data streams based on cooperative training strategy", Project No. 61273292, national level.

12. Participated in the National High Technology Research and Development Programme (863 Programme), "Research on Key Technology of Multi-source Heterogeneous Data Integration and Mining", Project No.: 2012AA011005, national level.

13. Participated in the National Natural Science Foundation of China (NSFC), "Research on Multi-tag Classification Methods for Short Text Data Streams", Project No. 61976077, national level.

14. Participated in the Key R&D Programme of the Ministry of Science and Technology of China, "Research on the Basic Theory of Big Data Knowledge Engineering and Its Application", Project No. 2016YFB1000900, National Natural Science Foundation of China.