學(xué)科專業(yè)（學(xué)術(shù)型/專業(yè)型）：計(jì)算機(jī)系統(tǒng)結(jié)構(gòu)，計(jì)算機(jī)技術(shù)
[1] Shunde li, Zongguo Wang , Lingkun Bu? ,Jue Wang*,Zhikuang Xin , Yangang Wang , Yangde Feng, Shigang Li, Peng Shi ,Yun Hu , Xuebin Chi. ANT-MOC: Scalable Neutral Particle Transport Using 3D Method of Characteristics on Multi-GPU Systems. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis; SC ’23,（CCF A 推薦）
[2] Yumeng Shi , Ningming Nie, Shunde Li , Jue Wang*? , Kehao Lin, Chunbao Zhou,? Shigang Li ,Kehan Yao, Yangde Feng ,Yan Zeng ,Fang Liu ,Yangang Wang, Yue Gao. Large-Scale Simulation of Structural Dynamics Computing on GPU Clusters. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis; SC ’23，（CCF A 推薦）
[3] Cao, Haizhou, Zhenhao Huang, Tiechui Yao, Jue Wang*, Hui He, and Yangang Wang. InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting. In Proceedings of the AAAI Conference on Artificial Intelligence; AAAI’23 (CCF A推薦)
[4]Kehao Lin, Chunbao Zhou, Yan Zeng, Ningming Nie, Jue Wang*, Shigang Li, Yangde Feng, Yangang Wang, et al., A Scalable Hybrid TotalFETI Method for Massively Parallel FEM Simulations, ACM SIGPLAN Annual Symposium Principles and Practice of Parallel Programming; PPoPP’23, (CCF A推薦)?
[5] Yao, Tiechui, Jue Wang*, Meng Wan, Zhikuang Xin, Yangang Wang, Rongqiang Cao, Shigang Li, and Xuebin Chi. VenusAI: An artificial intelligence platform for scientific discovery on supercomputers. Journal of Systems Architecture (2022): 102550. JCR Q1. IF 5.836.
[6] Tiechui Yao, Jue Wang*, Haoyan Wu, PeiZhang, Shigang Li, Ke Xu, Xiaoyan Liu, Xuebin Chi, Intra-hour Photovoltaic Generation Forecasting based on Multi-source Data and Deep Learning Methods, IEEE Transactions on Sustainable Energy, July. 2022, IF 8.31
[7] Tiechui Yao, Jue Wang*, Yangang Wang, et al. Very Short-term Forecasting of Distributed PV Power using GSTANN. CSEE Journal of Power and Energy Systems. 2022. JCR Q1, IF 6.014
[8] Tiechui Yao, Jue Wang*, Haizhou Cao, et al. A Multi-level Attention-based LSTM Network for Ultra-short-term Solar Power Forecast using Meteorological Knowledge. In: The 15th International Conference on Knowledge Science, Engineering and Management. KSEM 2022. Lecture Notes in Computer Science, vol 13369. Springer, Best Student Paper（3/498）
[9] Tiechui Yao, Jue Wang*, et al. A photovoltaic power output dataset: Multi-source photovoltaic power output dataset with Python toolkit[J]. Solar Energy, 2021, 230: 122-130. JCR Q2. IF 7.188
[10] Chen Li, Yulei Wu, Zhonghua Lu, Jue Wang, and Yonghong Hu, A Multi-Period Multi-Objective Portfolio Selection Model with Fuzzy Random Returns for Large Scale Securities Data, IEEE Transactions on Fuzzy System, Volume: 29, Issue: 1, Jan. 2021，JCR Q1, IF 12.029