40 citations · 145 across the 12 of their papers we have counts for
12 papers
On-the-Fly SfM: What you capture is What you get
Zongqian Zhan, Rui Xia, Yifei Yu +2
Over the last decades, ample achievements have been made on Structure from motion (SfM). However, the vast majority of them basically work in an offline manner, i.e., images are fi…
Intelligent model for offshore China sea fog forecasting
Yanfei Xiang, Qinghong Zhang, Mingqing Wang +3
Accurate and timely prediction of sea fog is very important for effectively managing maritime and coastal economic activities. Given the intricate nature and inherent variability o…
Challenges for Open-domain Targeted Sentiment Analysis
Yun Luo, Hongjie Cai, Linyi Yang +3
Since previous studies on open-domain targeted sentiment analysis are limited in dataset domain variety and sentence level, we propose a novel dataset consisting of 6,013 human-lab…
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts
Rui Xia, Zixiang Ding
Emotion cause extraction (ECE), the task aimed at extracting the potential causes behind certain emotions in text, has gained much attention in recent years due to its wide applica…
RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction
Rui Xia, Mengran Zhang, Zixiang Ding
The emotion cause extraction (ECE) task aims at discovering the potential causes behind a certain emotion expression in a document. Techniques including rule-based methods, traditi…
From Independent Prediction to Re-ordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification
Zixiang Ding, Huihui He, Mengran Zhang +1
Emotion cause identification aims at identifying the potential causes that lead to a certain emotion expression in text. Several techniques including rule based methods and traditi…
A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments
Rui Xia, Vincent Y. F. Tan, Louis Filstroff +1
We propose a novel ranking model that combines the Bradley-Terry-Luce probability model with a nonnegative matrix factorization framework to model and uncover the presence of laten…
Multimodal Relational Tensor Network for Sentiment and Emotion Classification
Saurav Sahay, Shachi H Kumar, Rui Xia +2
Understanding Affect from video segments has brought researchers from the language, audio and video domains together. Most of the current multimodal research in this area deals wit…
Collaborative Filtering with Topic and Social Latent Factors Incorporating Implicit Feedback
Guang-Neng Hu, Xin-Yu Dai, Feng-Yu Qiu +4
Recommender systems (RSs) provide an effective way of alleviating the information overload problem by selecting personalized items for different users. Latent factors based collabo…
Left-Center-Right Separated Neural Network for Aspect-based Sentiment Analysis with Rotatory Attention
Shiliang Zheng, Rui Xia
Deep learning techniques have achieved success in aspect-based sentiment analysis in recent years. However, there are two important issues that still remain to be further studied,…
Joint Binary Neural Network for Multi-label Learning with Applications to Emotion Classification
Huihui He, Rui Xia
Recently the deep learning techniques have achieved success in multi-label classification due to its automatic representation learning ability and the end-to-end learning framework…
Densely Connected Bidirectional LSTM with Applications to Sentence Classification
Zixiang Ding, Rui Xia, Jianfei Yu +2
Deep neural networks have recently been shown to achieve highly competitive performance in many computer vision tasks due to their abilities of exploring in a much larger hypothesi…