19 citations · 24 across the 7 of their papers we have counts for
7 papers
KubeAdaptor: A Docking Framework for Workflow Containerization on Kubernetes
Chenggang Shan, Guan Wang, Yuanqing Xia +2
As Kubernetes becomes the infrastructure of the cloud-native era, the integration of workflow systems with Kubernetes is gaining more and more popularity. To our knowledge, workflo…
Fast Subspace Identification Method Based on Containerised Cloud Workflow Processing System
Runze Gao, Yuanqing Xia, Guan Wang +2
Subspace identification (SID) has been widely used in system identification and control fields since it can estimate system models only relying on the input and output data by reli…
Graph2Graph Learning with Conditional Autoregressive Models
Guan Wang, Francois Bernard Lauze, Aasa Feragen
We present a graph neural network model for solving graph-to-graph learning problems. Most deep learning on graphs considers ``simple'' problems such as graph classification or reg…
Truncation-Free Matching System for Display Advertising at Alibaba
Jin Li, Jie Liu, Shangzhou Li +8
Matching module plays a critical role in display advertising systems. Without query from user, it is challenging for system to match user traffic and ads suitably. System packs up…
DCAF: A Dynamic Computation Allocation Framework for Online Serving System
Biye Jiang, Pengye Zhang, Rihan Chen +7
Modern large-scale systems such as recommender system and online advertising system are built upon computation-intensive infrastructure. The typical objective in these applications…
Interpret Federated Learning with Shapley Values
Guan Wang
Federated Learning is introduced to protect privacy by distributing training data into multiple parties. Each party trains its own model and a meta-model is constructed from the su…