Tiechui Yao

According to our database, Tiechui Yao authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Weather-Informed Load Scenario Generation Based on Optical Flow Denoising Diffusion Transformer.

Tiechui Yao, Chunyu Liu, Yishen Wang, Fei Zhou, Xi Chen, Bo Chai, Wensi Zhang, Zihao Wan

IEEE Trans. Smart Grid, September, 2025

A Conversational Agent based on Large Language Models for Fault Recovery Planning Generation.

Wensi Zhang, Tiechui Yao, Fei Zhou, Hongyang Jin, Jinbo Liu, Zihao Wan, Chunyu Liu, Yishen Wang, Bo Chai, Xi Chen

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

2024

POSTER: ParGNN: Efficient Training for Large-Scale Graph Neural Network on GPU Clusters.

Shunde Li, Junyu Gu, Jue Wang, Tiechui Yao, Zhiqiang Liang, Yumeng Shi, Shigang Li, Weiting Xi, Shushen Li, Chunbao Zhou, Yangang Wang, Xuebin Chi

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

Enhancing Load Forecasting with VAE-GAN-Based Data Cleaning for Electric Vehicle Charging Loads.

Wensi Zhang, Shuya Lei, Yuqing Jiang, Tiechui Yao, Yishen Wang, Zhiqing Sun

Proceedings of the Database Systems for Advanced Applications. DASFAA 2024 International Workshops, 2024

2023

A Scalable Hybrid Total FETI Method for Massively Parallel FEM Simulations.

Kehao Lin, Chunbao Zhou, Yan Zeng, Ningming Nie, Jue Wang, Shigang Li, Yangde Feng, Yangang Wang, Kehan Yao, Tiechui Yao, Jilin Zhang, Jian Wan

Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

A Sparse Matrix Optimization Method for Graph Neural Networks Training.

Tiechui Yao, Jue Wang, Junyu Gu, Yumeng Shi, Fang Liu, Xiaoguang Wang, Yangang Wang, Xuebin Chi

Proceedings of the Knowledge Science, Engineering and Management, 2023

A Graph Partitioning Algorithm Based on Graph Structure and Label Propagation for Citation Network Prediction.

Weiting Xi, Hui He, Junyu Gu, Jue Wang, Tiechui Yao, Zhiqiang Liang

Proceedings of the Knowledge Science, Engineering and Management, 2023

InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting.

Haizhou Cao, Zhenhao Huang, Tiechui Yao, Jue Wang, Hui He, Yangang Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

VenusAI: An artificial intelligence platform for scientific discovery on supercomputers.

Tiechui Yao, Jue Wang, Meng Wan, Zhikuang Xin, Yangang Wang, Rongqiang Cao, Shigang Li, Xuebin Chi

J. Syst. Archit., 2022

A Multi-level Attention-Based LSTM Network for Ultra-short-term Solar Power Forecast Using Meteorological Knowledge.

Tiechui Yao, Jue Wang, Haizhou Cao, Fang Liu, Xiaoguang Wang, Yangang Wang, Xuebin Chi

Proceedings of the Knowledge Science, Engineering and Management, 2022