Juncheng Yang | Artificial Intelligence | Best Researcher Award

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Mr. Juncheng Yang | Artificial Intelligence | Best Researcher Award

Juncheng Yang, born in 1982, is a PhD candidate and associate professor at Henan Polytechnic Institute. A Senior Member of the China Computer Federation, his research primarily focuses on artificial intelligence, including machine learning and AI applications. With extensive experience in both academia and research, he is dedicated to advancing AI technologies and their practical uses.

Mr. Juncheng Yang | Henan Polytechnic Institute | China

Profile

Scopus ID

🎓 Education

    • Juncheng Yang, born in 1982, is currently a PhD candidate. He has pursued his academic journey with a strong focus on artificial intelligence, contributing to his expertise in the field.

💼 Experience

    • Juncheng is an associate professor at Henan Polytechnic Institute. With years of experience in academia, he has made significant contributions to teaching and research in the realm of computer science and artificial intelligence.

 🏆 Honors and Awards

    • He holds the distinction of being a Senior Member of the China Computer Federation. This recognition reflects his high standing and achievements in the computer science and artificial intelligence communities.

🛠️ Skills and Certifications

    •  Juncheng Yang possesses a range of advanced skills in artificial intelligence, machine learning, and computer science. His expertise includes both theoretical and applied aspects of AI, making him a key figure in his research field.

🔬 Research Focus

    •   His main research interest lies in artificial intelligence, where he explores various aspects, including algorithms, machine learning models, and AI applications. Juncheng Yang’s work aims to push the boundaries of AI technologies and their practical implementations.

Conclusion

    • Juncheng Yang’s combination of innovative research, high-quality publications, and proven leadership in the AI field makes him an ideal candidate for the Best Researcher Award. His research not only advances the frontiers of AI technology but also holds substantial practical relevance for various industries. His achievements, ongoing contributions, and forward-looking perspective position him as one of the leading figures in AI research today.

📄Publications

  • A Time-Series-Based Sample Amplification Model for Data Stream with Sparse Samples
    Authors: Yang, J., Yu, W., Yu, F., Li, S.
    Journal: Neural Processing Letters, 2024, 56(2), 72
  • Generalizing to Unseen Domains via PatchMix
    Authors: Yang, J., Li, Z., Li, C., Yu, W., Li, S.
    Journal: Multimedia Systems, 2024, 30(1), 31
  • Cross-Modal Adapter: Parameter-Efficient Transfer Learning Approach for Vision-Language Models
    Authors: Yang, J., Li, Z., Xie, S., Yu, W., Li, S.
    Conference: Proceedings – IEEE International Conference on Multimedia and Expo, 2024
  • DSDRNet: Disentangling Representation and Reconstruct Network for Domain Generalization
    Authors: Yang, J., Li, Q., Xie, S., Yu, W., Li, S.
    Conference: Proceedings of the International Joint Conference on Neural Networks, 2024
  • Soft-Prompting with Graph-of-Thought for Multi-modal Representation Learning
    Authors: Yang, J., Li, Z., Xie, S., Li, S., Du, B.
    Conference: 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 – Main Conference Proceedings, 2024