1 citations · 1 across the 6 of their papers we have counts for
6 papers
GDR-HGNN: A Heterogeneous Graph Neural Networks Accelerator Frontend with Graph Decoupling and Recoupling
Runzhen Xue, Mingyu Yan, Dengke Han +4
Heterogeneous Graph Neural Networks (HGNNs) have broadened the applicability of graph representation learning to heterogeneous graphs. However, the irregular memory access pattern…
AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes
Zhiqiang Zhou, Chaoli Zhang, Lingna Ma +6
The existing resource allocation policy for application instances in Kubernetes cannot dynamically adjust according to the requirement of business, which would cause an enormous wa…
RobustScaler: QoS-Aware Autoscaling for Complex Workloads
Huajie Qian, Qingsong Wen, Liang Sun +3
Autoscaling is a critical component for efficient resource utilization with satisfactory quality of service (QoS) in cloud computing. This paper investigates proactive autoscaling…
Video Face Recognition System: RetinaFace-mnet-faster and Secondary Search
Qian Li, Nan Guo, Xiaochun Ye +2
Face recognition is widely used in the scene. However, different visual environments require different methods, and face recognition has a difficulty in complex environments. There…
Top-Related Meta-Learning Method for Few-Shot Object Detection
Qian Li, Nan Guo, Xiaochun Ye +3
Many meta-learning methods are proposed for few-shot detection. However, previous most methods have two main problems, poor detection APs, and strong bias because of imbalance and…
Pixel-Semantic Revise of Position Learning A One-Stage Object Detector with A Shared Encoder-Decoder
Qian Li, Nan Guo, Xiaochun Ye +2
Recently, many methods have been proposed for object detection. They cannot detect objects by semantic features, adaptively. In this work, according to channel and spatial attentio…