activity
20152021
most citedSyntactic Recurrent Neural Network for Authorship Attribution

13 citations · 35 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CL2021★ 3 cited

Improving Online Forums Summarization via Hierarchical Unified Deep Neural Network

Sansiri Tarnpradab, Fereshteh Jafariakinabad, Kien A. Hua

Online discussion forums are prevalent and easily accessible, thus allowing people to share ideas and opinions by posting messages in the discussion threads. Forum threads that sig…

cs.CV2020★ 1 cited

Beyond the Deep Metric Learning: Enhance the Cross-Modal Matching with Adversarial Discriminative Domain Regularization

Li Ren, Kai Li, LiQiang Wang +1

Matching information across image and text modalities is a fundamental challenge for many applications that involve both vision and natural language processing. The objective is to…

cs.CL2020★ 2 cited

A Self-supervised Representation Learning of Sentence Structure for Authorship Attribution

Fereshteh Jafariakinabad, Kien A. Hua

Syntactic structure of sentences in a document substantially informs about its authorial writing style. Sentence representation learning has been widely explored in recent years an…

cs.SI2019

Attention Based Neural Architecture for Rumor Detection with Author Context Awareness

Sansiri Tarnpradab, Kien A. Hua

The prevalence of social media has made information sharing possible across the globe. The downside, unfortunately, is the wide spread of misinformation. Methods applied in most pr…

cs.CL2019

Style-aware Neural Model with Application in Authorship Attribution

Fereshteh Jafariakinabad, Kien A. Hua

Writing style is a combination of consistent decisions associated with a specific author at different levels of language production, including lexical, syntactic, and structural. I…

cs.CV2019★ 3 cited

Differential Recurrent Neural Network and its Application for Human Activity Recognition

Naifan Zhuang, Guo-Jun Qi, The Duc Kieu +1

The Long Short-Term Memory (LSTM) recurrent neural network is capable of processing complex sequential information since it utilizes special gating schemes for learning representat…

cs.CL2019★ 13 cited

Syntactic Recurrent Neural Network for Authorship Attribution

Fereshteh Jafariakinabad, Sansiri Tarnpradab, Kien A. Hua

Writing style is a combination of consistent decisions at different levels of language production including lexical, syntactic, and structural associated to a specific author (or a…

cs.LG2018★ 2 cited

Deep Segment Hash Learning for Music Generation

Kevin Joslyn, Naifan Zhuang, Kien A. Hua

Music generation research has grown in popularity over the past decade, thanks to the deep learning revolution that has redefined the landscape of artificial intelligence. In this…

cs.CL2018★ 7 cited

Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks

Sansiri Tarnpradab, Fei Liu, Kien A. Hua

Forum threads are lengthy and rich in content. Concise thread summaries will benefit both newcomers seeking information and those who participate in the discussion. Few studies, ho…

cs.CV2018★ 1 cited

Deep Differential Recurrent Neural Networks

Naifan Zhuang, The Duc Kieu, Guo-Jun Qi +1

Due to the special gating schemes of Long Short-Term Memory (LSTM), LSTMs have shown greater potential to process complex sequential information than the traditional Recurrent Neur…

cs.CV2015★ 2 cited

First-Take-All: Temporal Order-Preserving Hashing for 3D Action Videos

Jun Ye, Hao Hu, Kai Li +2

With the prevalence of the commodity depth cameras, the new paradigm of user interfaces based on 3D motion capturing and recognition have dramatically changed the way of interactio…

cs.LG2015★ 1 cited

Rank Subspace Learning for Compact Hash Codes

Kai Li, Guojun Qi, Jun Ye +1

The era of Big Data has spawned unprecedented interests in developing hashing algorithms for efficient storage and fast nearest neighbor search. Most existing work learn hash funct…