activity
20202023
most citedPA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images

69 citations · 159 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2023★ 6 cited

Enhancing Language Representation with Constructional Information for Natural Language Understanding

Lvxiaowei Xu, Jianwang Wu, Jiawei Peng +3

Natural language understanding (NLU) is an essential branch of natural language processing, which relies on representations generated by pre-trained language models (PLMs). However…

cs.CL2022★ 21 cited

FCGEC: Fine-Grained Corpus for Chinese Grammatical Error Correction

Lvxiaowei Xu, Jianwang Wu, Jiawei Peng +2

Grammatical Error Correction (GEC) has been broadly applied in automatic correction and proofreading system recently. However, it is still immature in Chinese GEC due to limited hi…

cs.CL2022★ 51 cited

Learn from Structural Scope: Improving Aspect-Level Sentiment Analysis with Hybrid Graph Convolutional Networks

Lvxiaowei Xu, Xiaoxuan Pang, Jianwang Wu +2

Aspect-level sentiment analysis aims to determine the sentiment polarity towards a specific target in a sentence. The main challenge of this task is to effectively model the relati…

eess.IV2021★ 1 cited

Graph-based Pyramid Global Context Reasoning with a Saliency-aware Projection for COVID-19 Lung Infections Segmentation

Huimin Huang, Ming Cai, Lanfen Lin +9

Coronavirus Disease 2019 (COVID-19) has rapidly spread in 2020, emerging a mass of studies for lung infection segmentation from CT images. Though many methods have been proposed fo…

eess.IV2021★ 69 cited

PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images

Yingying Xu, Ming Cai, Lanfen Lin +10

In this paper, we propose a phase attention residual network (PA-ResSeg) to model multi-phase features for accurate liver tumor segmentation, in which a phase attention (PA) is new…

cs.GR2020★ 11 cited

P-Cloth: Interactive Complex Cloth Simulation on Multi-GPU Systems using Dynamic Matrix Assembly and Pipelined Implicit Integrators

Cheng Li, Min Tang, Ruofeng Tong +3

We present a novel parallel algorithm for cloth simulation that exploits multiple GPUs for fast computation and the handling of very high resolution meshes. To accelerate implicit…