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長期專注于高通量眾核處理器架構設計、圖智能算法軟硬協(xié)同優(yōu)化以及處理器芯片智能化設計等研究方向，作為核心骨干參與了多款成功流片的高通量眾核處理器芯片的研制。以第一或通信作者在PIEEE、MICRO、HPCA、AAAI、IJCAI和Neural Networks等領域頂級會議與期刊上發(fā)表論文30余篇，其研究成果被發(fā)表在ISCA、MICRO、HPCA、ASPLOS、NeurIPS、ICML及PIEEE、IEEE TPAMI、IEEE TPDS等領域頂級會議與期刊的論文廣泛引用。作為項目負責人或核心骨干，主持或參與了多項國家級科研任務，包括國家重點研發(fā)計劃項目、國家自然科學基金青年項目和中國科學院先導C專項等。入選中國科學院青促會會員、CCF青年人才發(fā)展計劃，并曾獲得北京市技術發(fā)明一等獎、北京市優(yōu)秀畢業(yè)生等多項重要獎項，其博士論文被評為CCF優(yōu)秀博士學位論文。曾擔任ISCA、HPCA、MICRO、ICS和IJCAI等領域頂級會議的TPC或ERC委員，并受邀為IEEE TPAMI、IEEE TPDS、IEEE TC和ACM TACO等領域頂級期刊的審稿專家。指導/聯(lián)合指導的研究生連續(xù)四年榮獲國家獎學金，畢業(yè)后就業(yè)于中科院計算所、華為、平頭哥、英偉達、字節(jié)跳動、騰訊、百度等知名機構。

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工作與學習簡介：

2022年9月 — 今：中科院計算所，副研究員（入選中科院青促會成員）

2020年7月 — 2022年9月：中科院計算所，特別研究助理（獲中國科學院“特助”資助項目資助），合作導師為范東睿研究員

2014年9月 — 2020年7月：中國科學院大學，中科院計算所，博士生（博士論文入選CCF優(yōu)秀博士學位論文），導師為張志敏研究員

2018年1月 — 2020年2月：美國加州大學圣塔芭芭拉分校，電子與計算機工程系，聯(lián)合培養(yǎng)博士，合作導師為謝源教授

期刊文章:

[1]?[PIEEE/CCF A] 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 (PIEEE), 2023.

[2]?[IEEE TPDS/CCF A] Runzhen Xue, Dengke Han, Mingyu Yan*, Mo Zou, Xiaocheng Yang, Duo Wang, Wenming Li, Zhimin Tang, John Kim, Xiaochun Ye, and Dongrui Fan. “HiHGNN: Accelerating HGNNs through Parallelism and Data Reusability Exploitation.” IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2024.

[3]?[IEEE TC/CCF A] 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 (IEEE TC), 2022.

[4]?[IEEE TCAD/CCF A] 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 (IEEE TCAD), 2023.

[5]?[ACM TACO/CCF A] Dengke Han, Mingyu Yan*, Xiaochun Ye, and Dongrui Fan. “Characterizing and Understanding HGNN Training on GPUs.” ACM Transactions on Architecture and Code Optimization (ACM TACO), 2024.

[6]?[Neural Networks/SCI 1區(qū)] Xin Liu, Xunbin Xiong, Mingyu Yan*, Runzhen Xue, Shirui Pan, Songwen Pei, Lei Deng, Xiaochun Ye, and Dongrui Fan. “DropNaE: Alleviating irregularity for large-scale graph representation learning.” Neural Networks (NN), 2024.

[7]?[IEEE/CAA JAS/SCI 1區(qū)] 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 (IEEE/CAA JAS), 2021.

[8]?[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 (IEEE CAL), 2022.

[9]?[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 (IEEE CAL), 2022.

[10]?[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 (IEEE CAL), 2020.

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會議文章：

[1]?[HPCA 2020/CCF A] 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.

[2]?[MICRO 2019/CCF A] 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), ACM, 2019.

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

[4]?[DAC 2023/CCF A] 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), ACM/IEEE, 2023.

[5]?[DAC 2022/CCF A] 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), ACM/IEEE, 2022.

[6]?[AAAI 2023/CCF A] 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.

[7]?[IJCAI 2022/CCF A] 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, 2022.

[8]?[ICCAD 2023/CCF B] 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.

[9]?[DATE 24/CCF B] Gongjian Sun, Mingyu Yan*, Dengke Han, Runzhen Xue, Xiaochun Ye, and Dongrui Fan. “LiGNN: Accelerating GNN Training through Locality-aware Dropout.” Proceedings 2025 Design Automation and Test in Europe Conference (DATE), IEEE, 2025.

[10]?[ECML-PKDD 2022/CCF B] 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 (ECML-PKDD), 2022.

發(fā)明專利：

[1]?嚴明玉; 張志敏; 吳軍; 龔健; 張浩; 孫凝暉，基于檢查點的計算機的容錯方法，授權號：CN107193692B

[2]?嚴明玉; 張浩; 姜志穎; 范東睿; 葉笑春，一種PCIe設備與主機之間的多路有序數(shù)據(jù)傳輸方法，授權號：CN107193766B

[3]?林海陽; 王鐸;?嚴明玉; 鄒沫; 呂征陽; 蘭昊; 李文明; 葉笑春; 范東睿，一種兩寫兩讀的數(shù)據(jù)傳輸結構以及片上多通道交互網(wǎng)絡，授權號：CN114968861B

[4]?嚴明玉; 李涵; 葉笑春; 曹華偉; 范東睿，一種面向圖神經(jīng)網(wǎng)絡應用的片上存儲系統(tǒng)及方法，授權號：CN111695685B

[5]?嚴明玉; 李涵; 葉笑春; 曹華偉; 范東睿，一種面向圖神經(jīng)網(wǎng)絡應用的任務調度執(zhí)行系統(tǒng)及方法，授權號：CN111694643B

[6]?李涵;?嚴明玉; 李文明; 葉笑春; 范東睿，一種面向圖計算應用的CAM結構存儲系統(tǒng)，授權號：CN109189994B

[7]?馮煜晶;?嚴明玉; 張浩; 范東睿; 葉笑春，一種數(shù)據(jù)流架構中網(wǎng)絡數(shù)據(jù)流量不平衡的檢測及調整方法，CN109120546B

[8]?李涵;?嚴明玉; 李文明; 葉笑春; 范東睿，一種面向多上下文粗粒度數(shù)據(jù)流結構的指令發(fā)射控制方法，授權號：CN109189477B

[9]?歐焱;?嚴明玉; 葉笑春; 范東睿; 張浩，芯片互聯(lián)多應用有效映射方法、系統(tǒng)及內(nèi)容尋址存儲器，授權號：CN108874729B

[10]?向陶然;?嚴明玉; 譚旭; 葉笑春; 范東睿; 王達，一種粗粒度數(shù)據(jù)流架構中的數(shù)據(jù)復用和同步的方法、裝置，授權號：CN108563446B