activity
20122021
most citedEffective Spatial Data Partitioning for Scalable Query Processing

15 citations · 23 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2021★ 2 cited

Selective Knowledge Distillation for Neural Machine Translation

Fusheng Wang, Jianhao Yan, Fandong Meng +1

Neural Machine Translation (NMT) models achieve state-of-the-art performance on many translation benchmarks. As an active research field in NMT, knowledge distillation is widely ap…

eess.IV2019★ 6 cited

Liver Steatosis Segmentation with Deep Learning Methods

Xiaoyuan Guo, Fusheng Wang, George Teodorou +2

Liver steatosis is known as the abnormal accumulation of lipids within cells. An accurate quantification of steatosis area within the liver histopathological microscopy images play…

cs.CV2018

Analysis of Cellular Feature Differences of Astrocytomas with Distinct Mutational Profiles Using Digitized Histopathology Images

Mousumi Roy, Fusheng Wang, George Teodoro +3

Cellular phenotypic features derived from histopathology images are the basis of pathologic diagnosis and are thought to be related to underlying molecular profiles. Due to overwhe…

cs.CV2018

Segmentation of Overlapped Steatosis in Whole-Slide Liver Histopathology Microscopy Images

Mousumi Roy, Fusheng Wang, George Teodoro +3

An accurate steatosis quantification with pathology tissue samples is of high clinical importance. However, such pathology measurement is manually made in most clinical practices,…

cs.DB2015★ 15 cited

Effective Spatial Data Partitioning for Scalable Query Processing

Ablimit Aji, Vo Hoang, Fusheng Wang

Recently, MapReduce based spatial query systems have emerged as a cost effective and scalable solution to large scale spatial data processing and analytics. MapReduce based systems…

cs.DB2012

Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems

Kaibo Wang, Yin Huai, Rubao Lee +3

As an important application of spatial databases in pathology imaging analysis, cross-comparing the spatial boundaries of a huge amount of segmented micro-anatomic objects demands…