Tiechui Yao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
5
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ISCAS | An Agent Framework for Fault Recovery Planning Generation Based on Model Context Protocol. | Tiechui Yao, He Yang, Zihao Wan, Jiannan Xu, Yishen Wang, Xi Chen, Baohua Zhao |
| 2025 | ISCAS | 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 |
| 2024 | DASFAA | 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 |
| 2024 | PPoPP | 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 |
| 2023 | AAAI | 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 |
| 2023 | KSEM | 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 |
| 2023 | KSEM | 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 |
| 2023 | PPoPP | 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 |
| 2022 | KSEM | 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 |