简 历：
主要从事高通量众核处理器以及图计算加速结构研究，作为核心骨干参与高性能众核处理器Godson-T、高通量众核处理器DPU等多款众核芯片的研制。主持国家自然科学基金、国家重点研发计划、中科院先导等课题十余项。在包括MICRO、HPCA、TC、TPDS等在内的领域知名会议/期刊上发表学术论文100余篇，授权发明专利20余项。入选中科院青促会优秀会员，曾获北京市技术发明一等奖，产学研合作创新成果二等奖等奖励。
主要论著：
近年代表性会议文章：
[1] 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. 61st ACM/IEEE Design Automation Conference (DAC), 2024.
[2] Duo Wang, Mingyu Yan, Xin Liu, Mo Zou, Tianyu Liu, Wenming Li, Xiaochun Ye and Dongrui Fan. A High-accurate Multi-objective Exploration Framework for Design Space of CPU. 60th ACM/IEEE Design Automation Conference (DAC), 2023.
[3] Xiaocheng Yang, Mingyu Yan, Shirui Pan, Xiaochun Ye, and Dongrui Fan. Simple and Efficient Heterogeneous Graph Neural Network. AAAI Conference on Artificial Intelligence (AAAI), 2023.
[4] 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. 59th ACM/IEEE Design Automation Conference (DAC), 2022.
[5] 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), 2022.
[6] Dingyuan Cao, Mingzhe Zhang, Hang Lu, Xiaochun Ye, Dongrui Fan, Yuezhi Che, Rujia Wang. Streamline Ring ORAM Accesses through Spatial and Temporal Optimization. In the 27th IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2021.
[7] 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. IEEE International Symposium on High Performance Computer Architecture (HPCA), 2020.
[8] 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.
[9] Yan Gao, Boxiao Liu, Nan Guo, Xiaochun Ye, Fang Wan, Haihang You, Dongrui Fan. C-MIDN: Coupled Multiple Instance Detection Network with Segmentation Guidance for Weakly Supervised Object Detection. IEEE International Conference on Computer Vision (ICCV), 2019.
[10] Dongrui Fan, Wenming Li, Xiaochun Ye, Da Wang, Hao Zhang, Zhimin Tang, Ninghui Sun. SmarCo: An Efficient Many-Core Processor for High-Throughput Applications in Datacenters. In the 24th IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2018.
近年代表性期刊文章:
[1] Runzhen Xue, Dengke Han, Mingyu Han, Mo Zou, Xiaocheng Yang, Duo Wang, Wenming Li, Zhimin Tang, John Kim, Xiaochun Ye, Dongrui Fan. HiHGNN: Accelerating HGNNs through Parallelism and Data Reusability Exploitation. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2024.
[2] Duo Wang, Mingyu Yan, Yihan Teng, Dengke Han, Xin Liu, Wenming Li, Xiaochun Ye, 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 (TCAD), 2024.
[3] Zhihua Fan, Wening Li, Zhen Wang, Yu Yang, Xiaochun Ye, Dongrui Fan, Ninghui Sun, Xuejun An. Improving Utilization of Dataflow Unit for Multi-Batch Processing. ACM Transactions on Architecture and Code Optimization (TACO), 2024.
[4] Zhihua Fan, Wenming Li, Zhen Wang, Tianyu Liu, Haibin Wu, Yanhuan Liu, Meng Wu, Xinxin Wu, Xiaochun Ye, Dongrui Fan, Ninghui Sun, Xuejun An. Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2023.
[5] De Han, Xing Cheng, Nan Guo, Xiaochun Ye, Benjamin Rainer, Peter Priller. Momentum Cross-modal Contrastive Learning for Video Moment Retrieval. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023.
[6] Haiyang Lin, Mingyu Yan, Xiaochun Ye, Dongrui Fan, Shirui Pan, Wenguang Chen, and Yuan Xie. A Comprehensive Survey on Distributed Training of Graph Neural Networks. Proceedings of the IEEE (PIEEE), 2023.
[7] Kuozhong Zhang, Zhimin Zhang, Guangming Tang, Xiaochun Ye. Design of a Compact Superconducting RSFQ Register File. IEEE Transactions on Circuits and Systems I: Regular Papers.( TCAS-I), 2023.
[8] 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 (TC)， 2022.
[9] Rongliang Fu, Junying Huang, Haibin Wu, Xiaochun Ye, Dongrui Fan, Tsung-Yi Ho. JBNN: A Hardware Design for Binarized Neural Networks using Single-Flux-Quantum Circuits. IEEE Transactions on Computers (TC), 2022.
[10] Jiahong Yang, Guangming Tang, Xiangyu Zheng, Xiaochun Ye, Dongrui Fan, Zhimin Zhang, Ninghui Sun. Distributed Self-Clock: A Suitable Architecture for SFQ Circuits. IEEE Transactions on Applied Superconductivity, 2020.
科研项目：
国家自然科学基金面上项目：数据流众核体系结构中的数据通路优化研究，项目负责人
叶笑春 研究员
研究方向：
所属部门：高通量计算机研究中心、处理器芯片全国重点实验室
导师类别：博导
联系方式：yexiaochun@ict.ac.cn
个人网页：