Profile photo of Yuhan Wu

Yuhan Wu

Zhejiang University

  • Time Series
  • Time Series Forecasting
  • Deep Learning
  • Multivariate Time Series
  • Knowledge Graph Reasoning

Google Scholar

About Me

I am at Zhejiang University. My research interests include time series analysis, time series forecasting, deep learning, and representation learning for structured data. My recent work focuses on long-term time series forecasting, multivariate time series representation learning, anomaly detection, and reasoning over knowledge graphs.

I am broadly interested in building reliable machine learning methods for temporal and structured data, with applications spanning forecasting, anomaly detection, activity recognition, environmental monitoring, and intelligent decision support systems.

Preprints

Seeing through the Conflict: Transparent Knowledge Conflict Handling in Retrieval-Augmented Generation
H Ye, S Chen, Z Zhong, C Xiao, H Zhang, Y Wu, F Shen
arXiv 2026
Scholar
TimeMaster: Training Time-Series Multimodal LLMs to Reason via Reinforcement Learning
J Zhang, L Feng, X Guo, Y Wu, Y Dong, D Xu
arXiv 2025
Scholar

Selected Publications

Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-Term Time Series Forecasting
Y Wu, X Meng, H Hu, J Zhang, Y Dong, D Lu
AAAI 2025
Scholar
Semi4TSF: End-to-End Semi-Supervised Contrastive Representation Learning for Time Series Forecasting
Y Wu, X Meng, J Zhang, Y Dong, D Lu
IEEE TII 2025
Scholar
Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs
Y Wu, Y Xu, W Zhang, X Xu, Y Zhang
WWW 2024
Scholar
Multi-View Self-Supervised Contrastive Learning for Multivariate Time Series
Y Wu, X Meng, Y He, J Zhang, H Zhang, Y Dong, D Lu
ACM MM 2024
Scholar
CLformer: Constraint-Based Locality Enhanced Transformer for Anomaly Detection of Ancient Building Structures
Y Wu, Y Dong, W Zhu, J Zhang, S Liu, D Lu, N Zeng, Y Li
Engineering Applications of Artificial Intelligence 2023
Scholar
Effective LSTMs with Seasonal-Trend Decomposition and Adaptive Learning and Niching-Based Backtracking Search Algorithm for Time Series Forecasting
Y Wu, X Meng, J Zhang, Y He, J A Romo, Y Dong, D Lu
Expert Systems with Applications 2023
Scholar
A Hybrid XGBoost-ISSA-LSTM Model for Accurate Short-Term and Long-Term Dissolved Oxygen Prediction in Ponds
Y Wu, L Sun, X Sun, B Wang
Environmental Science and Pollution Research 2022
Scholar

For a complete list of publications, please refer to my Google Scholar profile.

Academic Services

Reviewer