activity
20142023
most citedAdaptive Resource Allocation for Workflow Containerization on Kubernetes

18 citations · 100 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CL2023★ 3 cited

Reducing the gap between streaming and non-streaming Transducer-based ASR by adaptive two-stage knowledge distillation

Haitao Tang, Yu Fu, Lei Sun +8

Transducer is one of the mainstream frameworks for streaming speech recognition. There is a performance gap between the streaming and non-streaming transducer models due to limited…

cs.CV2023

The Second-place Solution for CVPR VISION 23 Challenge Track 1 -- Data Effificient Defect Detection

Xian Tao, Zhen Qu, Hengliang Luo +6

The Vision Challenge Track 1 for Data-Effificient Defect Detection requires competitors to instance segment 14 industrial inspection datasets in a data-defificient setting. This re…

cs.DC2023★ 18 cited

Adaptive Resource Allocation for Workflow Containerization on Kubernetes

Chenggang Shan, Chuge Wu, Yuanqing Xia +3

In a cloud-native era, the Kubernetes-based workflow engine enables workflow containerized execution through the inherent abilities of Kubernetes. However, when encountering contin…

cs.LG2022★ 18 cited

Teacher-Student Architecture for Knowledge Learning: A Survey

Chengming Hu, Xuan Li, Dan Liu +3

Although Deep Neural Networks (DNNs) have shown a strong capacity to solve large-scale problems in many areas, such DNNs with voluminous parameters are hard to be deployed in a rea…

eess.IV2022★ 1 cited

Flexible Alignment Super-Resolution Network for Multi-Contrast MRI

Yiming Liu, Mengxi Zhang, Weiqin Zhang +5

Magnetic resonance imaging plays an essential role in clinical diagnosis by acquiring the structural information of biological tissue. Recently, many multi-contrast MRI super-resol…

cs.CL2021★ 1 cited

Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset

Alexandra Ils, Dan Liu, Daniela Grunow +1

We introduce the well-established social scientific concept of social solidarity and its contestation, anti-solidarity, as a new problem setting to supervised machine learning in N…