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入選國(guó)家級(jí)高層次人才計(jì)劃，CCF開源發(fā)展委員會(huì)執(zhí)委委員，中國(guó)醫(yī)療保健國(guó)際交流促進(jìn)會(huì)健康數(shù)據(jù)與數(shù)字醫(yī)學(xué)分會(huì)委員。2018.6—2019.1公派到UIUC的Laxmikant V. Kale教授課題組訪學(xué)。長(zhǎng)期從事大模型、圖計(jì)算和數(shù)值反應(yīng)堆的國(guó)產(chǎn)適配等；近幾年在智能優(yōu)化領(lǐng)域的研究成果在能源、材料、氣象等多個(gè)學(xué)科領(lǐng)域進(jìn)行成果應(yīng)用和落地。在國(guó)內(nèi)外高水平期刊和會(huì)議IEEE TSE、IEEE FS、PPoPP、SC、DAC、AAAI、IJCAI、CPC、中國(guó)科學(xué)：信息科學(xué)、計(jì)算機(jī)學(xué)報(bào)和軟件學(xué)報(bào)等發(fā)表學(xué)術(shù)論文100余篇；授權(quán)專利50余項(xiàng)；專著2部。獲得SC 23（CCF A推薦）最佳論文和最佳學(xué)生論文雙提名，KSEM 22最佳學(xué)生論文。獲得北京市技術(shù)發(fā)明等多個(gè)省部級(jí)獎(jiǎng)、中核集團(tuán)技術(shù)發(fā)明一等獎(jiǎng)（2次）和二等獎(jiǎng)（1次）、國(guó)家電網(wǎng)有限公司科技進(jìn)步三等獎(jiǎng)等。

先后承擔(dān)了自然科學(xué)基金、863子課題、國(guó)家重點(diǎn)研發(fā)計(jì)劃課題、中國(guó)科學(xué)院戰(zhàn)略性先導(dǎo)A科技專項(xiàng)課題、國(guó)家電網(wǎng)基礎(chǔ)性/前瞻性項(xiàng)目（院士合作項(xiàng)目），國(guó)家電網(wǎng)公司總部科技項(xiàng)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(xué)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(xué)生論文（3/498）