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了国家重点研发计划项目、国家自然科学基金青年项目、中科院先导C专项课题、中科院基础研究领域青年团队计划项目等。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.