Fatigue detection with 3D facial features based on binocular stereo vision. - Ling Zhang; Mingyu Yan; Yanjun Zeng (Integr. Comput. Aided Eng., 2014)

Hybrid facial image feature extraction and recognition for non-invasive chronic fatigue syndrome diagnosis. - Yunhua Chen; Weijian Liu; Ling Zhang; Mingyu Yan; Yanjun Zeng (Comput. Biol. Medicine, 2015)

Fair Packet Scheduling in Network on Chip. - Zhuang Wang; Xiao Lv; Mingyu Yan; Wei Yang; Ge Li (CoRR, 2015)

Balancing Memory Accesses for Energy-Efficient Graph Analytics Accelerators. - Mingyu Yan; Xing Hu 001; Shuangchen Li; Itir Akgun; Han Li 011; Xin Ma; Lei Deng 003; Xiaochun Ye; Zhimin Zhang 004; Dongrui Fan; Yuan Xie 001 (ISLPED, 2019)

Alleviating Irregularity in Graph Analytics Acceleration: a Hardware/Software Co-Design Approach. - Mingyu Yan; Xing Hu 001; Shuangchen Li; Abanti Basak; Han Li 011; Xin Ma; Itir Akgun; Yujing Feng; Peng Gu; Lei Deng 003; Xiaochun Ye; Zhimin Zhang 004; et al. (MICRO, 2019)

Coordinated Regional-District Operation of Integrated Energy Systems for Resilience Enhancement in Natural Disasters. - Mingyu Yan; Yubin He; Mohammad Shahidehpour; Xiaomeng Ai; Zhiyi Li; Jinyu Wen (IEEE Trans. Smart Grid, 2019)

Cooperative Game for Carbon Obligation Allocation Among Distribution System Operators to Incentivize the Proliferation of Renewable Energy. - Quan Zhou 007; Mohammad Shahidehpour; Tao Sun 020; Donghan Feng; Mingyu Yan (IEEE Trans. Smart Grid, 2019)

HyGCN: A GCN Accelerator with Hybrid Architecture. - Mingyu Yan; Lei Deng 003; Xing Hu 001; Ling Liang; Yujing Feng; Xiaochun Ye; Zhimin Zhang 004; Dongrui Fan; Yuan Xie 001 (HPCA, 2020)

fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU. - Zhaodong Chen; Mingyu Yan; Maohua Zhu; Lei Deng 003; Guoqi Li; Shuangchen Li; Yuan Xie 001 (ICCAD, 2020)

Characterizing and Understanding GCNs on GPU. - Mingyu Yan; Zhaodong Chen; Lei Deng 003; Xiaochun Ye; Zhimin Zhang 004; Dongrui Fan; Yuan Xie 001 (IEEE Comput. Archit. Lett., 2020)

Rubik: A Hierarchical Architecture for Efficient Graph Learning. - Xiaobing Chen; Yuke Wang; Xinfeng Xie; Xing Hu 001; Abanti Basak; Ling Liang; Mingyu Yan; Lei Deng 003; Yufei Ding 001; Zidong Du; Yunji Chen; Yuan Xie 001 (CoRR, 2020)

Coordinated Planning of Transportation and Electric Power Networks With the Proliferation of Electric Vehicles. - Wei Gan; Mohammad Shahidehpour; Mingyu Yan; Jianbo Guo; Wei Yao 005; Aleksi Paaso; Liuxi Zhang; Jinyu Wen (IEEE Trans. Smart Grid, 2020)

Alleviating Imbalance in Synchronous Distributed Training of Deep Neural Networks. - Haiyang Lin; Mingyu Yan; Duo Wang; Wenming Li; Xiaochun Ye; Zhimin Tang; Dongrui Fan (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Triangle Counting by Adaptively Resampling over Evolving Graph Streams. - Wei Xuan; Huawei Cao; Mingyu Yan; Zhimin Tang; Xiaochun Ye; Dongrui Fan (SEKE, 2021)

Hardware Acceleration for GCNs via Bidirectional Fusion. - Han Li 011; Mingyu Yan; Xiaocheng Yang; Lei Deng 003; Wenming Li; Xiaochun Ye; Dongrui Fan; Yuan Xie 001 (IEEE Comput. Archit. Lett., 2021)

RISC-NN: Use RISC, NOT CISC as Neural Network Hardware Infrastructure. - Taoran Xiang; Lunkai Zhang; Shuqian An; Xiaochun Ye; Mingzhe Zhang; Yanhuan Liu; Mingyu Yan; Da Wang; Hao Zhang 009; Wenming Li; Ninghui Sun; Dongrui Fan (CoRR, 2021)

BSR-TC: Adaptively Sampling for Accurate Triangle Counting over Evolving Graph Streams. - Wei Xuan; Huawei Cao; Mingyu Yan; Zhimin Tang; Xiaochun Ye; Dongrui Fan (Int. J. Softw. Eng. Knowl. Eng., 2021)

Fast Search of the Optimal Contraction Sequence in Tensor Networks. - Ling Liang; Jianyu Xu; Lei Deng 003; Mingyu Yan; Xing Hu 001; Zheng Zhang 005; Guoqi Li; Yuan Xie 001 (IEEE J. Sel. Top. Signal Process., 2021)

Distributed Expansion Planning of Electric Vehicle Dynamic Wireless Charging System in Coupled Power-Traffic Networks. - Fangzhou Xia 002; Hongkun Chen; Mohammad Shahidehpour; Wei Gan; Mingyu Yan; Lei Chen 026 (IEEE Trans. Smart Grid, 2021)

Coordination of Distribution Network Reinforcement and DER Planning in Competitive Market. - Xuanyi Xiao; Feng Wang 071; Mohammad Shahidehpour; Zhiyi Li; Mingyu Yan (IEEE Trans. Smart Grid, 2021)

Blockchain for Transacting Energy and Carbon Allowance in Networked Microgrids. - Mingyu Yan; Mohammad Shahidehpour; Ahmed Alabdulwahab; Abdullah Abusorrah; Niroj Gurung; Honghao Zheng; Oladipupo Ogunnubi; Aleksandar Vukojevic; Esa Aleksi Paaso (IEEE Trans. Smart Grid, 2021)

Distribution Network-Constrained Optimization of Peer-to-Peer Transactive Energy Trading Among Multi-Microgrids. - Mingyu Yan; Mohammad Shahidehpour; Aleksi Paaso; Liuxi Zhang; Ahmed Alabdulwahab; Abdullah Abusorrah (IEEE Trans. Smart Grid, 2021)

Distribution System Resilience in Ice Storms by Optimal Routing of Mobile Devices on Congested Roads. - Mingyu Yan; Mohammad Shahidehpour; Aleksi Paaso; Liuxi Zhang; Ahmed Alabdulwahab; Abdullah Abusorrah (IEEE Trans. Smart Grid, 2021)

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 001 (DAC, 2022)

HetGraph: A High Performance CPU-CGRA Architecture for Matrix-based Graph Analytics. - Long Tan; Mingyu Yan; Xiaochun Ye; Dongrui Fan (ACM Great Lakes Symposium on VLSI, 2022)

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 (ICA3PP, 2022)

GEM: Execution-Aware Cache Management for Graph Analytics. - Mo Zou; Mingyu Yan; Wenming Li; Zhimin Tang; Xiaochun Ye; Dongrui Fan (ICA3PP, 2022)

Survey on Graph Neural Network Acceleration: An Algorithmic Perspective. - Xin Liu 073; Mingyu Yan; Lei Deng 003; Guoqi Li; Xiaochun Ye; Dongrui Fan; Shirui Pan; Yuan Xie 001 (IJCAI, 2022)

An Eye-Gaze Tracking Method Based on a 3D Ocular Surface Fitting Model. - Ling Zhang; Zongxin Ma; Mingyu Yan; Wenchao Jiang; Muhammad (ML4CS (2), 2022)

GNNSampler: Bridging the Gap Between Sampling Algorithms of GNN and Hardware. - Xin Liu 073; Mingyu Yan; Shuhan Song; Zhengyang Lv; Wenming Li; Guangyu Sun 003; Xiaochun Ye; Dongrui Fan (ECML/PKDD (5), 2022)

Characterizing and Understanding Distributed GNN Training on GPUs. - Haiyang Lin; Mingyu Yan; Xiaocheng Yang; Mo Zou; Wenming Li; Xiaochun Ye; Dongrui Fan (IEEE Comput. Archit. Lett., 2022)

Characterizing and Understanding HGNNs on GPUs. - Mingyu Yan; Mo Zou; Xiaocheng Yang; Wenming Li; Xiaochun Ye; Dongrui Fan; Yuan Xie 001 (IEEE Comput. Archit. Lett., 2022)

Rethinking Efficiency and Redundancy in Training Large-scale Graphs. - Xin Liu 073; Xunbin Xiong; Mingyu Yan; Runzhen Xue; Shirui Pan; Xiaochun Ye; Dongrui Fan (CoRR, 2022)

Towards Joint Electricity and Data Trading: A Scalable Cooperative Game Theoretic Approach. - Mingyu Yan; Fei Teng 005 (CoRR, 2022)

Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey. - Xin Liu 073; Mingyu Yan; Lei Deng 003; Guoqi Li; Xiaochun Ye; Dongrui Fan (IEEE CAA J. Autom. Sinica, 2022)

Multi-Node Acceleration for Large-Scale GCNs. - Gongjian Sun; Mingyu Yan; Duo Wang; Han Li 011; Wenming Li; Xiaochun Ye; Dongrui Fan; Yuan Xie 001 (IEEE Trans. Computers, 2022)

Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training. - Xiaobing Chen; Yuke Wang; Xinfeng Xie; Xing Hu 001; Abanti Basak; Ling Liang; Mingyu Yan; Lei Deng 003; Yufei Ding 001; Zidong Du; Yuan Xie 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Optimal Transactive Energy Trading of Electric Vehicle Charging Stations With On-Site PV Generation in Constrained Power Distribution Networks. - Larissa Affolabi; Mohammad Shahidehpour; Wei Gan; Mingyu Yan; Bo Chen 011; Shikhar Pandey; Aleksandar Vukojevic; Esa Aleksi Paaso; Ahmed Alabdulwahab; Abdullah Abusorrah (IEEE Trans. Smart Grid, 2022)

General spiking neural network framework for the learning trajectory from a noisy mmWave radar. - Xin Liu 073; Mingyu Yan; Lei Deng 003; Yujie Wu 002; De Han; Guoqi Li; Xiaochun Ye; Dongrui Fan (Neuromorph. Comput. Eng., 2022)

Simple and Efficient Heterogeneous Graph Neural Network. - Xiaocheng Yang; Mingyu Yan; Shirui Pan; Xiaochun Ye; Dongrui Fan (AAAI, 2023)

A High-accurate Multi-objective Exploration Framework for Design Space of CPU. - Duo Wang; Mingyu Yan; Xin Liu 073; Mo Zou; Tianyu Liu; Wenming Li; Xiaochun Ye; Dongrui Fan (DAC, 2023)

A High-accurate Multi-objective Ensemble Exploration Framework for Design Space of CPU Microarchitecture. - Duo Wang; Mingyu Yan; Yihan Teng; Dengke Han; Xiaochun Ye; Dongrui Fan (ACM Great Lakes Symposium on VLSI, 2023)

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 (ICCAD, 2023)

Characterizing and Understanding Defense Methods for GNNs on GPUs. - Meng Wu 006; Mingyu Yan; Xiaocheng Yang; Wenming Li; Zhimin Zhang 004; Xiaochun Ye; Dongrui Fan (IEEE Comput. Archit. Lett., 2023)

A Survey of Graph Pre-processing Methods: From Algorithmic to Hardware Perspectives. - Zhengyang Lv; Mingyu Yan; Xin Liu 073; Mengyao Dong; Xiaochun Ye; Dongrui Fan; Ninghui Sun (CoRR, 2023)

Cyber-Physical Interdependent Restoration Scheduling for Active Distribution Network via Ad Hoc Wireless Communication. - Chongyu Wang; Mingyu Yan; Kaiyuan Pang; Fushuan Wen; Fei Teng 005 (IEEE Trans. Smart Grid, 2023)

A Comprehensive Survey on Distributed Training of Graph Neural Networks. - Haiyang Lin; Mingyu Yan; Xiaochun Ye; Dongrui Fan; Shirui Pan; Wenguang Chen; Yuan Xie 001 (Proc. IEEE, 2023)

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 (DAC, 2024)

GDL-GNN: Applying GPU Dataloading of Large Datasets for Graph Neural Network Inference. - Haoran Dang; Meng Wu 006; Mingyu Yan; Xiaochun Ye; Dongrui Fan (Euro-Par (2), 2024)

ADE-HGNN: Accelerating HGNNs Through Attention Disparity Exploitation. - Dengke Han; Meng Wu 006; Runzhen Xue; Mingyu Yan; Xiaochun Ye; Dongrui Fan (Euro-Par (2), 2024)

Disttack: Graph Adversarial Attacks Toward Distributed GNN Training. - Yuxiang Zhang 011; Xin Liu 073; Meng Wu 006; Wei Yan; Mingyu Yan; Xiaochun Ye; Dongrui Fan (Euro-Par (2), 2024)

Accelerating Mini-batch HGNN Training by Reducing CUDA Kernels. - Meng Wu 006; Jingkai Qiu; Mingyu Yan; Wenming Li; Yang Zhang; Zhimin Zhang 004; Xiaochun Ye; Dongrui Fan (ICA3PP (3), 2024)

Characterizing and Understanding HGNN Training on GPUs. - Dengke Han; Mingyu Yan; Xiaochun Ye; Dongrui Fan; Ninghui Sun (CoRR, 2024)

A Comprehensive Survey on GNN Characterization. - Meng Wu 006; Mingyu Yan; Wenming Li; Xiaochun Ye; Dongrui Fan; Yuan Xie 001 (CoRR, 2024)

SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration. - Runzhen Xue; Mingyu Yan; Dengke Han; Zhimin Tang; Xiaochun Ye; Dongrui Fan (CoRR, 2024)

Multi-objective Optimization in CPU Design Space Exploration: Attention is All You Need. - Runzhen Xue; Hao Wu 070; Mingyu Yan; Ziheng Xiao; Xiaochun Ye; Dongrui Fan (CoRR, 2024)

Cost-Effective Label-free Node Classification with LLMs. - Taiyan Zhang; Renchi Yang; Mingyu Yan; Xiaochun Ye; Dongrui Fan; Yurui Lai (CoRR, 2024)

Market-Based Coordinated Planning of Fast Charging Station and Dynamic Wireless Charging System Considering Energy Demand Assignment. - Fangzhou Xia 002; Hongkun Chen; Mingyu Yan; Wei Gan; Quan Zhou 007; Tong Ding; Xuechun Wang; Lingling Wang; Lei Chen 026 (IEEE Trans. Smart Grid, 2024)

MoDSE: A High-Accurate Multiobjective Design Space Exploration Framework for CPU Microarchitectures. - Duo Wang; Mingyu Yan; Yihan Teng; Dengke Han; Xin Liu 073; Wenming Li; Xiaochun Ye; Dongrui Fan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

HiHGNN: Accelerating HGNNs Through Parallelism and Data Reusability Exploitation. - Runzhen Xue; Dengke Han; Mingyu Yan; Mo Zou; Xiaocheng Yang; Duo Wang; Wenming Li; Zhimin Tang; John Kim 001; Xiaochun Ye; Dongrui Fan (IEEE Trans. Parallel Distributed Syst., 2024)

Resilience Enhancement for Distribution System With Multiple Non-Anticipative Uncertainties Based on Multi-Stage Dynamic Programming. - Houbo Xiong; Mingyu Yan; Fangxing Li 001; Tao Ding; Chuangxin Guo; Zuyi Li (IEEE Trans. Smart Grid, 2024)

LiGNN: Accelerating GNN Training Through Locality-Aware Dropout. - Gongjian Sun; Mingyu Yan; Dengke Han; Runzhen Xue; Xiaochun Ye; Dongrui Fan (DATE, 2025)

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 (SIGIR, 2025)

DropNaE: Alleviating irregularity for large-scale graph representation learning. - Xin Liu 073; Xunbin Xiong; Mingyu Yan; Runzhen Xue; Shirui Pan; Songwen Pei; Lei Deng 003; Xiaochun Ye; Dongrui Fan (Neural Networks, 2025)

Exergy Battery Modeling and P2P Trading Based Optimal Operation of Virtual Energy Station. - Meng Song; Xinyi Jing; Jianyong Ding; Ciwei Gao; Mingyu Yan; Wensheng Luo; Mariusz Malinowski (CoRR, 2025)

A Profit Sharing Mechanism for Coordinated Power Traffic System. - Tianyu Sima; Mingyu Yan; Jianfeng Wen; Wensheng Luo; Mariusz Malinowski (CoRR, 2025)

Characterizing and Understanding HGNN Training on GPUs. - Dengke Han; Mingyu Yan; Xiaochun Ye; Dongrui Fan (ACM Trans. Archit. Code Optim., 2025)

Synergistic Operation Framework for the Energy Hub Merging Stochastic Distributionally Robust Chance-Constrained Optimization and Stackelberg Game. - Junjie Zhong; Yirui Zhao; Yong Li 016; Mingyu Yan; Yanjian Peng; Ye Cai 002; Yijia Cao (IEEE Trans. Smart Grid, 2025)

MetaDSE: A Few-shot Meta-learning Framework for Cross-workload CPU Design Space Exploration. - Runzhen Xue; Hao Wu 070; Mingyu Yan; Ziheng Xiao; Xiaochun Ye; Dongrui Fan (CoRR, 2025)

Large Processor Chip Model. - Kaiyan Chang; Mingzhi Chen; Yunji Chen; Zhirong Chen; Dongrui Fan; Junfeng Gong; Nan Guo; Yinhe Han 001; Qinfen Hao; Shuo Hou; Xuanjing Huang 001; Pengwei Jin; et al. (CoRR, 2025)

Considering the multi-time scale rolling optimization scheduling method of micro-energy network connected to electric vehicles. - Hengyu Liu; Yanhong Luo; Congcong Wu; Yin Guan; Ahmed Lotfy Elrefai; Andreas Elombo; Si Li; Sahban Wael Saeed Alnaser; Mingyu Yan (CoRR, 2025)

Multi-dimensional evaluation on a rural integrated energy system including solar, wind, biomass and geothermal energy. - Ruonan Li; Chang Wen; Mingyu Yan; Congcong Wu; Ahmed Lotfy Elrefai; Xiaotong Zhang; Sahban Wael Saeed Alnaser (CoRR, 2025)

Accelerating GNN Training through Locality-aware Dropout and Merge. - Gongjian Sun; Mingyu Yan; Dengke Han; Runzhen Xue; Duo Wang; Xiaochun Ye; Dongrui Fan (CoRR, 2025)

Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack. - Xin Liu 073; Yuxiang Zhang 011; Meng Wu 006; Mingyu Yan; Kun He; Wei Yan; Shirui Pan; Xiaochun Ye; Dongrui Fan (IEEE Trans. Knowl. Data Eng., 2025)

A Real-Time Robust Method for Post-Disaster Load Restoration of Coordinated Power-Transportation System With Vehicle-to-Grid Response. - Houbo Xiong; Yan Xu 005; Zhao Yang Dong; Wei Gan; Chuangxin Guo; Mingyu Yan (IEEE Trans. Smart Grid, 2025)

TLV-HGNN: Thinking Like a Vertex for Memory-efficient HGNN Inference. - Dengke Han; Duo Wang; Mingyu Yan; Xiaochun Ye; Dongrui Fan (CoRR, 2025)

SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration. - Runzhen Xue; Mingyu Yan; Dengke Han; Ziheng Xiao; Zhimin Tang; Xiaochun Ye; Dongrui Fan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

Distribution Dynamic Operating Security Space Characterization for Aggregation and Congestion Capacity Evaluation of Virtual Power Plant. - Meng Song; Zekai Xu; Ciwei Gao; Mingyu Yan; Qinran Hu (IEEE Trans. Smart Grid, 2025)