Mingyu Yan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
14
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | DAC | MetaDSE: A Few-shot Meta-learning Framework for Cross-workload CPU Design Space Exploration. | Runzhen Xue, Hao Wu, Mingyu Yan, Ziheng Xiao, Xiaochun Ye, Dongrui Fan |
| 2025 | DATE | LiGNN: Accelerating GNN Training Through Locality-Aware Dropout. | Gongjian Sun, Mingyu Yan, Dengke Han, Runzhen Xue, Xiaochun Ye, Dongrui Fan |
| 2025 | ICA3PP | A GCN Accelerator with Unified Architecture. | Meng Wu, Mingyu Yan, Lei Deng, Wenming Li, Zhimin Zhang, Xiaochun Ye, Dongrui Fan |
| 2025 | ICCD | TLV-HGNN: Thinking Like a Vertex for Memory-Efficient HGNN Inference. | Dengke Han, Duo Wang, Mingyu Yan, Xiaochun Ye, Dongrui Fan |
| 2025 | SIGIR | Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs. | Taiyan Zhang, Renchi Yang, Yurui Lai, Mingyu Yan, Xiaochun Ye, Dongrui Fan |
| 2024 | DAC | GDR-HGNN: A Heterogeneous Graph Neural Networks Accelerator Frontend with Graph Decoupling and Recoupling. | Runzhen Xue, Mingyu Yan, Dengke Han, Yihan Teng, Zhimin Tang, Xiaochun Ye, Dongrui Fan |
| 2024 | EuroPar | GDL-GNN: Applying GPU Dataloading of Large Datasets for Graph Neural Network Inference. | Haoran Dang, Meng Wu, Mingyu Yan, Xiaochun Ye, Dongrui Fan |
| 2024 | EuroPar | ADE-HGNN: Accelerating HGNNs Through Attention Disparity Exploitation. | Dengke Han, Meng Wu, Runzhen Xue, Mingyu Yan, Xiaochun Ye, Dongrui Fan |
| 2024 | EuroPar | Disttack: Graph Adversarial Attacks Toward Distributed GNN Training. | Yuxiang Zhang, Xin Liu, Meng Wu, Wei Yan, Mingyu Yan, Xiaochun Ye, Dongrui Fan |
| 2024 | ICA3PP | Accelerating Mini-batch HGNN Training by Reducing CUDA Kernels. | Meng Wu, Jingkai Qiu, Mingyu Yan, Wenming Li, Yang Zhang, Zhimin Zhang, Xiaochun Ye, Dongrui Fan |
| 2023 | AAAI | Simple and Efficient Heterogeneous Graph Neural Network. | Xiaocheng Yang, Mingyu Yan, Shirui Pan, Xiaochun Ye, Dongrui Fan |
| 2023 | DAC | A High-accurate Multi-objective Exploration Framework for Design Space of CPU. | Duo Wang, Mingyu Yan, Xin Liu, Mo Zou, Tianyu Liu, Wenming Li, Xiaochun Ye, Dongrui Fan |
| 2023 | ICCAD | A Transfer Learning Framework for High-Accurate Cross-Workload Design Space Exploration of CPU. | Duo Wang, Mingyu Yan, Yihan Teng, Dengke Han, Haoran Dang, Xiaochun Ye, Dongrui Fan |
| 2022 | DAC | Alleviating datapath conflicts and design centralization in graph analytics acceleration. | Haiyang Lin, Mingyu Yan, Duo Wang, Mo Zou, Fengbin Tu, Xiaochun Ye, Dongrui Fan, Yuan Xie |
| 2022 | ICA3PP | MatGraph: An Energy-Efficient and Flexible CGRA Engine for Matrix-Based Graph Analytics. | Long Tan, Mingyu Yan, Duo Wang, Wenming Li, Xiaochun Ye, Dongrui Fan |
| 2022 | ICA3PP | GEM: Execution-Aware Cache Management for Graph Analytics. | Mo Zou, Mingyu Yan, Wenming Li, Zhimin Tang, Xiaochun Ye, Dongrui Fan |
| 2022 | IJCAI | Survey on Graph Neural Network Acceleration: An Algorithmic Perspective. | Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie |
| 2021 | ISPA | Alleviating Imbalance in Synchronous Distributed Training of Deep Neural Networks. | Haiyang Lin, Mingyu Yan, Duo Wang, Wenming Li, Xiaochun Ye, Zhimin Tang, Dongrui Fan |
| 2021 | SEKE | Triangle Counting by Adaptively Resampling over Evolving Graph Streams. | Wei Xuan, Huawei Cao, Mingyu Yan, Zhimin Tang, Xiaochun Ye, Dongrui Fan |
| 2020 | HPCA | HyGCN: A GCN Accelerator with Hybrid Architecture. | Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie |
| 2020 | ICCAD | fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU. | Zhaodong Chen, Mingyu Yan, Maohua Zhu, Lei Deng, Guoqi Li, Shuangchen Li, Yuan Xie |
| 2019 | ISLPED | Balancing Memory Accesses for Energy-Efficient Graph Analytics Accelerators. | Mingyu Yan, Xing Hu, Shuangchen Li, Itir Akgun, Han Li, Xin Ma, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie |
| 2019 | MICRO | Alleviating Irregularity in Graph Analytics Acceleration: a Hardware/Software Co-Design Approach. | 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 |