长期从事高通量众核处理器、图处理器和图机器学习算法等研究，作为核心骨干参与了多款DPU高通量众核处理器芯片的研制。在包括PIEEE、MICRO、HPCA、DAC、AAAI、IJCAI、IEEE TC、IEEE TCAD等在内的领域顶级会议或期刊上发表论文20余篇，授权/受理发明专利20余项。作为负责人或核心骨干参与国家自然科学基金青年项等多个科研项目。入选中科院青促会、CCF青年人才发展计划，曾获北京市技术发明一等奖、北京市优秀毕业生等荣誉。博士论文《图处理加速架构》入选CCF优秀博士学位论文。担任ISCA 2024、HPCA 2024、ICS 2024、IJCAI 2024等计算机领域顶级会议的TPC或ERC委员会成员。

2022年9月 — 今：中科院计算所，副研究员（入选中科院青促会成员）

2020年7月 — 2022年9月：中科院计算所，特别研究助理（获中科院“特助”资助项目资助），合作导师为范东睿研究员

2014年9月 — 2020年7月：中国科学院大学，计算机学院，博士生（博士论文入选CCF优秀博士学位论文），导师为张志敏研究员

2018年1月 — 2020年2月：美国加州大学圣塔芭芭拉分校，电子与计算机工程系，联合培养博士，合作导师为谢源教授

2010年9月 — 2014年7月：广东工业大学，计算机学院，本科生

期刊文章:

[1] [PIEEE] Haiyang Lin, Mingyu Yan*, Xiaochun Ye, Dongrui Fan, Shirui Pan, Wenguang Chen, Yuan Xie. "A Comprehensive Survey on Distributed Training of Graph Neural Networks." Proceedings of the IEEE (2023). 

[2] [IEEE TCAD] Duo Wang, Mingyu Yan*, Yihan Teng, Dengke Han, Xin Liu, Wenming Li, Xiaochun Ye, and Dongrui Fan. "MoDSE: A High-Accurate Multi-Objective Design Space Exploration Framework for CPU Microarchitectures." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2023).

[3] [IEEE TC] Gongjian Sun, Mingyu Yan*, Duo Wang, Han Li, Wenming Li, Xiaochun Ye, Dongrui Fan, Yuan Xie. "Multi-node Acceleration for Large-scale GCNs." IEEE Transactions on Computers (2022).

[4] [IEEE CAL] Mingyu Yan, Mo Zou, Xiaocheng Yang, Wenming Li, Xiaochun Ye, Dongrui Fan, Yuan Xie. "Characterizing and Understanding HGNNs on GPUs." IEEE Computer Architecture Letters 21.2 (2022): 69-72.

[5] [IEEE CAL] Haiyang Lin, Mingyu Yan*, Xiaocheng Yang, Mo Zou, Wenming Li, Xiaochun Ye, Dongrui Fan. "Characterizing and Understanding Distributed GNN Training on GPUs." IEEE Computer Architecture Letters 21.1 (2022): 21-24.

[6] [IEEE/CAA JAS] Xin Liu, Mingyu Yan*, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan. " Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey." IEEE/CAA Journal of Automatica Sinica 9.2 (2021): 205-234.

[7] [IEEE CAL] Han Li, Mingyu Yan*, Xiaocheng Yang, Lei Deng, Wenming Li, Xiaochun Ye, Dongrui Fan, Yuan Xie. " Hardware Acceleration for GCNs via Bidirectional Fusion." IEEE Computer Architecture Letters 20.1 (2021): 66-4.

[8] [IEEE CAL] Mingyu Yan, Zhaodong Chen, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie. "Characterizing and Understanding GCNs on GPU." IEEE Computer Architecture Letters 19.1 (2020): 22-25.

会议文章：

[1] [DAC 2024] Runzhen Xue, Mingyu Yan*, Dengke Han, Yihan Teng, Zhimin Tang, Xiaochun Ye, Dongrui. "FanGDR-HGNN: A Heterogeneous Graph Neural Networks Accelerator Frontend with Graph Decoupling and Recoupling." 2024 61st ACM/IEEE Design Automation Conference (DAC). IEEE, 2024.

[2] [ICCAD 2023] Duo Wang, Mingyu Yan*, Yihan Teng, Dengke Han, Haoran Dang, Xiaochun Ye, Dongrui Fan. "A Transfer Learning Framework for High-Accurate Cross-Workload Design Space Exploration of CPU." 2023 IEEE/ACM International Conference On Computer Aided Design (ICCAD). IEEE, 2023.

[3] [DAC 2023] Duo Wang, Mingyu Yan*, Xin Liu, Mo Zou, Tianyu Liu, Wenming Li, Xiaochun Ye, Dongrui Fan. " A High-accurate Multi-objective Exploration Framework for Design Space of CPU." 2023 60th ACM/IEEE Design Automation Conference (DAC). IEEE, 2023.

[4] [AAAI 2023] Xiaocheng Yang, Mingyu Yan*, Shirui Pan, Xiaochun Ye, and Dongrui Fan. “Simple and Efficient Heterogeneous Graph Neural Network.” in AAAI Conference on Artificial Intelligence (AAAI), 2023.

[5] [DAC 2022] Haiyang Lin, Mingyu Yan*, Duo Wang, Mo Zou, Fengbin Tu, Xiaochun Ye, Dongrui Fan, Yuan Xie. "Alleviating Datapath Conflicts and Design Centralization in Graph Analytics Acceleration. " 2022 59th ACM/IEEE Design Automation Conference (DAC). IEEE, 2022.

[6] [ECML-PKDD 2022] Xin Liu, Mingyu Yan*, Shuhan Song, Zhengyang Lv, Wenming Li, Guangyu Sun, Xiaochun Ye, Dongrui Fan.  " GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware." Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, Cham, 2022.

[7] [IJCAI 2022] Xin Liu, Mingyu Yan*, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie.  "Survey on Graph Neural Network Acceleration: An Algorithmic Perspective." Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI). IJCAI, Vienna. 2022.

[8] [ICCAD 2020] Zhaodong Chen, Mingyu Yan, Maohua Zhu, Lei Deng, Guoqi Li, Shuangchen Li, Yuan Xie. " fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU." 2020 IEEE/ACM International Conference on Computer Aided Design (ICCAD). IEEE, 2020.

[9] [HPCA 2020] Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie. " HyGCN: A GCN Accelerator with Hybrid Architecture." 2020 IEEE International Symposium on High Performance Computer Architecture (HPCA). IEEE, 2020.

[10] [MICRO 2019] Mingyu Yan, Xing Hu, Shuangchen Li, Abanti Basak, Han Li, Xin Ma, Itir Akgun, Yujing Feng, Peng Gu, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie. " Alleviating Irregularity in Graph Analytics Acceleration: a Hardware/Software Co-Design Approach." Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO). 2019.