Doctorate, at Zhejiang University, China.
✨ Yuhan Wu is a dedicated researcher in Computer Science, currently pursuing a Ph.D. at Zhejiang University. With a strong academic background from China Agricultural University and Henan University of Economics and Law, Yuhan specializes in machine learning, time series forecasting, and anomaly detection. His research focuses on developing innovative deep-learning models for real-world applications, particularly in environmental monitoring and intelligent systems. He has published extensively in top-tier journals and conferences, including AAAI, IEEE TNNLS, and ACMMM. Yuhan has also received multiple prestigious awards and scholarships for his academic excellence and research contributions.
Professional Profile
Scopus
Google Scholar
Education 🎓
- Zhejiang University (2022-2026): Ph.D. in Computer Science and Technology.
- China Agricultural University (2019-2022): Master’s in Computer Science and Technology.
- Henan University of Economics and Law (2016-2019): Second degree in Accounting.
- Henan University of Economics and Law (2015-2019): Undergraduate degree in the Internet of Things.
Experience 🏆
Yuhan Wu has engaged in extensive research in deep learning, time series analysis, and artificial intelligence. He has collaborated with leading researchers and institutions, contributing to advanced methodologies for anomaly detection, time series forecasting, and multi-view contrastive learning. His work integrates novel AI techniques to enhance predictive accuracy and robustness in various domains, including environmental monitoring, industrial intelligence, and smart city development.
Research Interests 💡
Yuhan Wu’s research revolves around artificial intelligence, deep learning, and time series forecasting. His primary focus includes self-supervised learning, anomaly detection, and domain adaptation. He has explored applications in smart cities, environmental monitoring, and industrial automation. His innovative approaches to AI-driven prediction models have significantly contributed to enhancing data analysis, decision-making processes, and intelligent system development.
Awards 🏅
Yuhan Wu has received numerous accolades for his outstanding academic and research achievements:
- National Inspirational Scholarship (2016-2019)
- First-Class Academic Scholarship (2016-2022)
- Zhejiang University First-Class Scholarship (2022-2023)
- Provincial Excellence Graduate Award (2019-2020)
- Multiple competition awards, including the Huawei Cup and Alibaba AI Challenges.
Publications 📚
Yuhan Wu has authored several influential papers in leading journals and conferences:
- Wu Y, Meng X, He Y, Zhang J, et al. Multi-view Self-Supervised Contrastive Learning for Multivariate Time Series. ACM MM, 2024. Link (Cited by X)
- Wu Y, Meng X, Hu H, Zhang J, et al. Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting. AAAI, 2025. Link (Cited by X)
- Wu Y, Meng X, Zhang J, He Y, et al. Effective LSTMs with Seasonal-Trend Decomposition for Time Series Forecasting. Expert Systems with Applications, 2023. Link (Cited by X)
- Wu Y, Dong Y, Zhu W, Zhang J, et al. CLformer: Constraint-based Locality Enhanced Transformer for Anomaly Detection. Engineering Applications of AI, 2023. Link (Cited by X)
- Wu Y, Sun L, Sun X, Wang B, et al. A Hybrid XGBoost-ISSA-LSTM Model for Dissolved Oxygen Prediction. Environmental Science & Pollution Research, 2022. Link (Cited by X)
Conclusion
Yuhan Wu is a highly promising researcher with an exceptional publication record, strong technical expertise, and multiple recognitions. He is well-qualified for a Best Researcher Award, particularly in the early-career or PhD candidate category. Strengthening leadership, global collaborations, and industry applications will further enhance his candidacy for prestigious awards at the international level.