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長期專注于高通量眾核處理器架構(gòu)設(shè)計(jì)、圖智能算法軟硬協(xié)同優(yōu)化以及處理器芯片智能化設(shè)計(jì)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(lǐng)域頂級(jí)會(huì)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(lǐng)域頂級(jí)會(huì)議與期刊的論文廣泛引用。作為項(xiàng)目負(fù)責(zé)人或核心骨干，主持或參與了多項(xiàng)國家級(jí)科研任務(wù)，包括國家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目、國家自然科學(xué)基金青年項(xiàng)目和中國科學(xué)院先導(dǎo)C專項(xiàng)等。入選中國科學(xué)院青促會(huì)會(huì)員、CCF青年人才發(fā)展計(jì)劃，并曾獲得北京市技術(shù)發(fā)明一等獎(jiǎng)、北京市優(yōu)秀畢業(yè)生等多項(xiàng)重要獎(jiǎng)項(xiàng)，其博士論文被評(píng)為CCF優(yōu)秀博士學(xué)位論文。曾擔(dān)任ISCA、HPCA、MICRO、ICS和IJCAI等領(lǐng)域頂級(jí)會(huì)議的TPC或ERC委員，并受邀為IEEE TPAMI、IEEE TPDS、IEEE TC和ACM TACO等領(lǐng)域頂級(jí)期刊的審稿專家。指導(dǎo)/聯(lián)合指導(dǎo)的研究生連續(xù)四年榮獲國家獎(jiǎng)學(xué)金，畢業(yè)后就業(yè)于中科院計(jì)算所、華為、平頭哥、英偉達(dá)、字節(jié)跳動(dòng)、騰訊、百度等知名機(jī)構(gòu)。

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工作與學(xué)習(xí)簡(jiǎn)介：

2022年9月 — 今：中科院計(jì)算所，副研究員（入選中科院青促會(huì)成員）

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

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

2018年1月 — 2020年2月：美國加州大學(xué)圣塔芭芭拉分校，電子與計(jì)算機(jī)工程系，聯(lián)合培養(yǎng)博士，合作導(dǎo)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(huì)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(yán)明玉; 張志敏; 吳軍; 龔健; 張浩; 孫凝暉，基于檢查點(diǎn)的計(jì)算機(jī)的容錯(cuò)方法，授權(quán)號(hào)：CN107193692B

[2]?嚴(yán)明玉; 張浩; 姜志穎; 范東睿; 葉笑春，一種PCIe設(shè)備與主機(jī)之間的多路有序數(shù)據(jù)傳輸方法，授權(quán)號(hào)：CN107193766B

[3]?林海陽; 王鐸;?嚴(yán)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(jié)構(gòu)以及片上多通道交互網(wǎng)絡(luò)，授權(quán)號(hào)：CN114968861B

[4]?嚴(yán)明玉; 李涵; 葉笑春; 曹華偉; 范東睿，一種面向圖神經(jīng)網(wǎng)絡(luò)應(yīng)用的片上存儲(chǔ)系統(tǒng)及方法，授權(quán)號(hào)：CN111695685B

[5]?嚴(yán)明玉; 李涵; 葉笑春; 曹華偉; 范東睿，一種面向圖神經(jīng)網(wǎng)絡(luò)應(yīng)用的任務(wù)調(diào)度執(zhí)行系統(tǒng)及方法，授權(quán)號(hào)：CN111694643B

[6]?李涵;?嚴(yán)明玉; 李文明; 葉笑春; 范東睿，一種面向圖計(jì)算應(yīng)用的CAM結(jié)構(gòu)存儲(chǔ)系統(tǒng)，授權(quán)號(hào)：CN109189994B

[7]?馮煜晶;?嚴(yán)明玉; 張浩; 范東睿; 葉笑春，一種數(shù)據(jù)流架構(gòu)中網(wǎng)絡(luò)數(shù)據(jù)流量不平衡的檢測(cè)及調(diào)整方法，CN109120546B

[8]?李涵;?嚴(yán)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(jié)構(gòu)的指令發(fā)射控制方法，授權(quán)號(hào)：CN109189477B

[9]?歐焱;?嚴(yán)明玉; 葉笑春; 范東睿; 張浩，芯片互聯(lián)多應(yīng)用有效映射方法、系統(tǒng)及內(nèi)容尋址存儲(chǔ)器，授權(quán)號(hào)：CN108874729B

[10]?向陶然;?嚴(yán)明玉; 譚旭; 葉笑春; 范東睿; 王達(dá)，一種粗粒度數(shù)據(jù)流架構(gòu)中的數(shù)據(jù)復(fù)用和同步的方法、裝置，授權(quán)號(hào)：CN108563446B