學科專業(yè)（學術型/專業(yè)型）：計算機系統(tǒng)結構，計算機技術
入選國家級高層次人才計劃，CCF開源發(fā)展委員會執(zhí)委委員，中國醫(yī)療保健國際交流促進會健康數(shù)據(jù)與數(shù)字醫(yī)學分會委員。2018.6—2019.1公派到UIUC的Laxmikant V. Kale教授課題組訪學。長期從事大模型、圖計算和數(shù)值反應堆的國產適配等；近幾年在智能優(yōu)化領域的研究成果在能源、材料、氣象等多個學科領域進行成果應用和落地。在國內外高水平期刊和會議IEEE TSE、IEEE FS、PPoPP、SC、DAC、AAAI、IJCAI、CPC、中國科學：信息科學、計算機學報和軟件學報等發(fā)表學術論文100余篇；授權專利50余項；專著2部。獲得SC 23（CCF A推薦）最佳論文和最佳學生論文雙提名，KSEM 22最佳學生論文。獲得北京市技術發(fā)明等多個省部級獎、中核集團技術發(fā)明一等獎（2次）和二等獎（1次）、國家電網(wǎng)有限公司科技進步三等獎等。
先后承擔了自然科學基金、863子課題、國家重點研發(fā)計劃課題、中國科學院戰(zhàn)略性先導A科技專項課題、國家電網(wǎng)基礎性/前瞻性項目（院士合作項目），國家電網(wǎng)公司總部科技項目等。
[1] Shunde Li, Zhijie Pan, Ningming Nie, Jue Wang*，He Bai, Genshen Chu, Yan Zeng, Xinfu He, Yangang Wang, Changjun Hu, Xuebin Chi, MISA-AKMC :Achieve Kinetic Monte Carlo Simulation of 20 Quadrillion Atoms on GPU Clusters, In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis; SC ’25,（CCF A 推薦）
[2] Haisha Zhao, San Li, Jiaheng Wang, Chunbao Zhou, Jue Wang*, Zhikuang Xin, Shunde Li, Zhiqiang Liang, Zhijie Pan, Fang Liu, Yan Zeng, Yangang Wang, Xuebin Chi, Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores, In Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming; PPoPP’ 25, (CCF A推薦)
[3] Junyu Gu, Shunde Li, Rongqiang Cao, Jue Wang*, Zijian Wang, Zhiqiang Liang, Fang Liu, Shigang Li, Chunbao Zhou, Yangang Wang, Xuebin Chi, ParGNN: A Scalable Graph Neural Network Training Framework on multi-GPUs, In Proceedings of the 62st ACM/IEEE Design Automation Conference; DAC’ 25, (CCF A推薦)
[4] Meng Wan, Rongqiang Cao, Yanghao Li, Jue Wang*, Zijian Wang, Qi Su, Lei Qiu, Peng Shi, Yangang Wang, and Chong Li. SEP: A General Lossless Compression Framework with Semantics Enhancement and Multi-Stream Pipelines, In Proceedings of the 24st International Joint Conference on Artificial Intelligence; IJCAI 25, (CCF A推薦)
[5] Meng Wan, Tiantian Liu, Yuxuan Bi, Jue Wang*, Hui Cui, Rongqiang Cao, Jiaxiang Wang, Peng Shi, Ningming Nie, and Yangang Wang. MCloudNet: An Ultra-Short-Term Photovoltaic Power Forecasting Framework With Multi-Layer Cloud Coverage, In Proceedings of the 24st International Joint Conference on Artificial Intelligence; IJCAI 25, (CCF A推薦)
[6] 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, In Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming; PPoPP’ 24, (CCF A推薦)
[7] 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, 最佳論文和最佳學生論文雙提名）
[8] 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）
[9] Haizhou Cao, 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)
[10] 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)?
[11] Jing Yang, Hui He, Xuemeng Zhao, Jue Wang*, Tiechui Yao, Haizhou Cao, Meng Wan, Day-ahead PV power forecasting model based on fine-grained temporal attention and cloud-coverage spatial attention, IEEE Transactions on Sustainable Energy,2023
[12] 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,? 2022
[13] 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, (CCF推薦), 最佳學生論文（3/498）