192 citations · 240 across the 12 of their papers we have counts for
13 papers
Using Conversational Artificial Intelligence to Support Children's Search in the Classroom
Garrett Allen, Jie Yang, Maria Soledad Pera +1
We present pathways of investigation regarding conversational user interfaces (CUIs) for children in the classroom. We highlight anticipated challenges to be addressed in order to…
AEFE: Automatic Embedded Feature Engineering for Categorical Features
Zhenyuan Zhong, Jie Yang, Yacong Ma +2
The challenge of solving data mining problems in e-commerce applications such as recommendation system (RS) and click-through rate (CTR) prediction is how to make inferences by con…
Demographic Biases of Crowd Workers in Key Opinion Leaders Finding
Hossein A. Rahmani, Jie Yang
Key Opinion Leaders (KOLs) are people that have a strong influence and their opinions are listened to by people when making important decisions. Crowdsourcing provides an efficient…
Context-guided Triple Matching for Multiple Choice Question Answering
Xun Yao, Junlong Ma, Xinrong Hu +3
The task of multiple choice question answering (MCQA) refers to identifying a suitable answer from multiple candidates, by estimating the matching score among the triple of the pas…
N24News: A New Dataset for Multimodal News Classification
Zhen Wang, Xu Shan, Xiangxie Zhang +1
Current news datasets merely focus on text features on the news and rarely leverage the feature of images, excluding numerous essential features for news classification. In this pa…
supervised adptive threshold network for instance segmentation
Kuikun Liu, Jie Yang, Cai Sun +1
Currently, instance segmentation is attracting more and more attention in machine learning region. However, there exists some defects on the information propagation in previous Mas…
A Survey on Extraction of Causal Relations from Natural Language Text
Jie Yang, Soyeon Caren Han, Josiah Poon
As an essential component of human cognition, cause-effect relations appear frequently in text, and curating cause-effect relations from text helps in building causal networks for…
Improving Language Generation with Sentence Coherence Objective
Ruixiao Sun, Jie Yang, Mehrdad Yousefzadeh
Conditional story generation and contextual text continuation have become increasingly popular topics in NLP community. Existing models are often prone to output paragraphs of text…
Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting
Xiyang Liu, Jie Yang, Wenrui Ding
The crowd counting task aims at estimating the number of people located in an image or a frame from videos. Existing methods widely adopt density maps as the training targets to op…
A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection
Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux
Microblogging platforms such as Twitter are increasingly being used in event detection. Existing approaches mainly use machine learning models and rely on event-related keywords to…
Research Commentary on Recommendations with Side Information: A Survey and Research Directions
Zhu Sun, Qing Guo, Jie Yang +4
Recommender systems have become an essential tool to help resolve the information overload problem in recent decades. Traditional recommender systems, however, suffer from data spa…
Interacting Attention-gated Recurrent Networks for Recommendation
Wenjie Pei, Jie Yang, Zhu Sun +3
Capturing the temporal dynamics of user preferences over items is important for recommendation. Existing methods mainly assume that all time steps in user-item interaction history…
On the Improvement of Quality and Reliability of Trust Cues in Micro-task Crowdsourcing (Position paper)
Jie Yang, Alessandro Bozzon
Micro-task crowdsourcing has become a successful mean to obtain high-quality data from a large crowd of diverse people. In this context, trust between all the involved actors (i.e.…