[1] 国家重点研发计划课题，生态系统智能运行服务及云端支持机制, 主持，2024.12.01--2027.11.30

[2] 中国科学院计划战略性先导科技专项课题，适配国产异构系统架构的跨体系结构开发框架，主持，2023.09.01--2026.08.31

[1] 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. Proceedings of the 62st ACM/IEEE Design Automation Conference. 2025.

[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, and 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). 2025: 326–338.

[3] Shunde Li, Junyu Gu, Jue Wang, Tiechui Yao, Zhiqiang Liang, Yumeng Shi, Shigang Li, Weiting Xi, Shushen Li, Chunbao Zhou, Yangang Wang, and 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). 2024:469–471.

[4] Kehao Lin, Chunbao Zhou, Yan Zeng, Ningming Nie, Jue Wang, Shigang Li, Yangde Feng, Yangang Wang, Kehan Yao, Tiechui Yao, Jilin Zhang, and Jian Wan. 2023. A Scalable Hybrid Total FETI Method for Massively Parallel FEM Simulations. In Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP '23). 2023: 135–147.

[5] Yumeng Shi, Ningming Nie, Jue Wang, Kehao Lin, Chunbao Zhou, Shigang Li, Kehan Yao, Shunde Li, Yangde Feng, Yan Zeng, Fang Liu, Yangang Wang, and Yue Gao. 2023. 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). 2023, 11:1–14.