activity
20152023
most citedContext-Aware Legal Citation Recommendation using Deep Learning

45 citations · 102 across the 6 of their papers we have counts for

collaborators

6 papers

physics.bio-ph2023★ 27 cited

Semantic Segmentation of Anomalous Diffusion Using Deep Convolutional Networks

Xiang Qu, Yi Hu, Wenjie Cai +4

Heterogeneous dynamics commonly emerges in anomalous diffusion with intermittent transitions of diffusion states but proves challenging to identify using conventional statistical m…

cs.IR2022★ 1 cited

Time-aware Self-Attention Meets Logic Reasoning in Recommender Systems

Zhijian Luo, Zihan Huang, Jiahui Tang +2

At the age of big data, recommender systems have shown remarkable success as a key means of information filtering in our daily life. Recent years have witnessed the technical devel…

cs.IR2021★ 45 cited

Context-Aware Legal Citation Recommendation using Deep Learning

Zihan Huang, Charles Low, Mengqiu Teng +4

Lawyers and judges spend a large amount of time researching the proper legal authority to cite while drafting decisions. In this paper, we develop a citation recommendation tool th…

cs.LG2021★ 27 cited

WaveNet-Based Deep Neural Networks for the Characterization of Anomalous Diffusion (WADNet)

Dezhong Li, Qiujin Yao, Zihan Huang

Anomalous diffusion, which shows a deviation of transport dynamics from the framework of standard Brownian motion, is involved in the evolution of various physical, chemical, biolo…

cs.CL2019★ 2 cited

A Discussion on Influence of Newspaper Headlines on Social Media

Aneek Barman Roy, Baolei Chen, Siddharth Tiwari +1

Newspaper headlines contribute severely and have an influence on the social media. This work studies the durability of impact of verbs and adjectives on headlines and determine the…

physics.data-an2015

Non-Gaussian Parameter in k-Dimensional Euclidean Space

Zihan Huang, Gaoming Wang, Zhao Yu

We generalize the non-Gaussian parameter, which is utilized to characterize the distinction of dynamics between realistic and Gaussian Brownian diffusions, in k-dimensional Euclide…