activity
20172020
most citedDistinguish Confusing Law Articles for Legal Judgment Prediction

11 citations · 17 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL202011 cited

Distinguish Confusing Law Articles for Legal Judgment Prediction

Nuo Xu, Pinghui Wang, Long Chen +3

Legal Judgment Prediction (LJP) is the task of automatically predicting a law case's judgment results given a text describing its facts, which has excellent prospects in judicial a…

cs.LG20192 cited

Multimodal Deep Network Embedding with Integrated Structure and Attribute Information

Conghui Zheng, Li Pan, Peng Wu

Network embedding is the process of learning low-dimensional representations for nodes in a network, while preserving node features. Existing studies only leverage network structur…

cs.CV2018

ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding

Ning Liu, Yongchao Long, Changqing Zou +3

We propose an attention-injective deformable convolutional network called ADCrowdNet for crowd understanding that can address the accuracy degradation problem of highly congested n…

cs.SI2017

Mining Application-aware Community Organization with Expanded Feature Subspaces from Concerned Attributes in Social Networks

Peng Wu, Li Pan

Social networks are typical attributed networks with node attributes. Different from traditional attribute community detection problem aiming at obtaining the whole set of communit…

cs.SI20174 cited

Mining Target Attribute Subspace and Set of Target Communities in Large Attributed Networks

Peng Wu, Li Pan

Community detection provides invaluable help for various applications, such as marketing and product recommendation. Traditional community detection methods designed for plain netw…