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2020 – today
- 2024
[c7]Wensi Zhang, Shuya Lei, Yuqing Jiang, Tiechui Yao, Yishen Wang, Zhiqing Sun:
Enhancing Load Forecasting with VAE-GAN-Based Data Cleaning for Electric Vehicle Charging Loads. DASFAA (Workshops) 2024: 110-125- [c6]Shunde Li
, Junyu Gu, Jue Wang, Tiechui Yao, Zhiqiang Liang, Yumeng Shi, Shigang Li, Weiting Xi, Shushen Li, Chunbao Zhou, Yangang Wang, Xuebin Chi:
POSTER: ParGNN: Efficient Training for Large-Scale Graph Neural Network on GPU Clusters. PPoPP 2024: 469-471 - 2023
- [c5]Haizhou Cao, Zhenhao Huang, Tiechui Yao, Jue Wang, Hui He, Yangang Wang:
InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting. AAAI 2023: 6906-6915 - [c4]Tiechui Yao, Jue Wang, Junyu Gu, Yumeng Shi, Fang Liu, Xiaoguang Wang, Yangang Wang, Xuebin Chi:
A Sparse Matrix Optimization Method for Graph Neural Networks Training. KSEM (1) 2023: 114-123 - [c3]Weiting Xi, Hui He, Junyu Gu, Jue Wang, Tiechui Yao, Zhiqiang Liang:
A Graph Partitioning Algorithm Based on Graph Structure and Label Propagation for Citation Network Prediction. KSEM (2) 2023: 289-300 - [c2]Kehao Lin, Chunbao Zhou, Yan Zeng, Ningming Nie, Jue Wang, Shigang Li, Yangde Feng, Yangang Wang, Kehan Yao, Tiechui Yao, Jilin Zhang, Jian Wan:
A Scalable Hybrid Total FETI Method for Massively Parallel FEM Simulations. PPoPP 2023: 135-147 - 2022
- [j1]Tiechui Yao, Jue Wang, Meng Wan, Zhikuang Xin, Yangang Wang, Rongqiang Cao, Shigang Li, Xuebin Chi:
VenusAI: An artificial intelligence platform for scientific discovery on supercomputers. J. Syst. Archit. 128: 102550 (2022) - [c1]Tiechui Yao, Jue Wang, Haizhou Cao, Fang Liu, Xiaoguang Wang, Yangang Wang, Xuebin Chi:
A Multi-level Attention-Based LSTM Network for Ultra-short-term Solar Power Forecast Using Meteorological Knowledge. KSEM (2) 2022: 16-28
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