activity
20172019
most citedTBC-Net: A real-time detector for infrared small target detection using semantic constraint

51 citations · 62 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CV201951 cited

TBC-Net: A real-time detector for infrared small target detection using semantic constraint

Mingxin Zhao, Li Cheng, Xu Yang +3

Infrared small target detection is a key technique in infrared search and tracking (IRST) systems. Although deep learning has been widely used in the vision tasks of visible light…

cs.CL2019

Raw-to-End Name Entity Recognition in Social Media

Liyuan Liu, Zihan Wang, Jingbo Shang +5

Taking word sequences as the input, typical named entity recognition (NER) models neglect errors from pre-processing (e.g., tokenization). However, these errors can influence the m…

cs.CL2019

Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction

Qinyuan Ye, Liyuan Liu, Maosen Zhang +1

In recent years there is a surge of interest in applying distant supervision (DS) to automatically generate training data for relation extraction (RE). In this paper, we study the…

cs.IR2018

Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings

Huan Gui, Qi Zhu, Liyuan Liu +2

Expert finding is an important task in both industry and academia. It is challenging to rank candidates with appropriate expertise for various queries. In addition, different types…

cs.SI2018

Contrast Subgraph Mining from Coherent Cores

Jingbo Shang, Xiyao Shi, Meng Jiang +3

Graph pattern mining methods can extract informative and useful patterns from large-scale graphs and capture underlying principles through the overwhelmed information. Contrast ana…

cs.SI201711 cited

Graph Clustering with Dynamic Embedding

Carl Yang, Mengxiong Liu, Zongyi Wang +2

Graph clustering (or community detection) has long drawn enormous attention from the research on web mining and information networks. Recent literature on this topic has reached a…