500 citations · 729 across the 20 of their papers we have counts for
20 papers
Multimodal Emergent Fake News Detection via Meta Neural Process Networks
Yaqing Wang, Fenglong Ma, Haoyu Wang +2
Fake news travels at unprecedented speeds, reaches global audiences and puts users and communities at great risk via social media platforms. Deep learning based models show good pe…
On Sampling Top-K Recommendation Evaluation
Dong Li, Ruoming Jin, Jing Gao +1
Recently, Rendle has warned that the use of sampling-based top- metrics might not suffice. This throws a number of recent studies on deep learning-based recommendation algorithm…
Towards a Better Understanding of Linear Models for Recommendation
Ruoming Jin, Dong Li, Jing Gao +3
Recently, linear regression models, such as EASE and SLIM, have shown to often produce rather competitive results against more sophisticated deep learning models. On the other side…
Fairness-aware Outlier Ensemble
Haoyu Liu, Fenglong Ma, Shibo He +2
Outlier ensemble methods have shown outstanding performance on the discovery of instances that are significantly different from the majority of the data. However, without the aware…
On Estimating Recommendation Evaluation Metrics under Sampling
Ruoming Jin, Dong Li, Benjamin Mudrak +2
Since the recent study (Krichene and Rendle 2020) done by Krichene and Rendle on the sampling-based top-k evaluation metric for recommendation, there has been a lot of debates on t…
Efficient Knowledge Graph Validation via Cross-Graph Representation Learning
Yaqing Wang, Fenglong Ma, Jing Gao
Recent advances in information extraction have motivated the automatic construction of huge Knowledge Graphs (KGs) by mining from large-scale text corpus. However, noisy facts are…
Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data
Yaqing Wang, Yifan Ethan Xu, Xian Li +2
Product catalogs are valuable resources for eCommerce website. In the catalog, a product is associated with multiple attributes whose values are short texts, such as product name,…
Large-scale Real-time Personalized Similar Product Recommendations
Zhi Liu, Yan Huang, Jing Gao +2
Similar product recommendation is one of the most common scenes in e-commerce. Many recommendation algorithms such as item-to-item Collaborative Filtering are working on measuring…
Practical Data Poisoning Attack against Next-Item Recommendation
Hengtong Zhang, Yaliang Li, Bolin Ding +1
Online recommendation systems make use of a variety of information sources to provide users the items that users are potentially interested in. However, due to the openness of the…
A Survey on Causal Inference
Liuyi Yao, Zhixuan Chu, Sheng Li +3
Causal inference is a critical research topic across many domains, such as statistics, computer science, education, public policy and economics, for decades. Nowadays, estimating c…
Weak Supervision for Fake News Detection via Reinforcement Learning
Yaqing Wang, Weifeng Yang, Fenglong Ma +4
Today social media has become the primary source for news. Via social media platforms, fake news travel at unprecedented speeds, reach global audiences and put users and communitie…
Data Poisoning Attack against Knowledge Graph Embedding
Hengtong Zhang, Tianhang Zheng, Jing Gao +4
Knowledge graph embedding (KGE) is a technique for learning continuous embeddings for entities and relations in the knowledge graph.Due to its benefit to a variety of downstream ta…
Finding Similar Medical Questions from Question Answering Websites
Yaliang Li, Liuyi Yao, Nan Du +5
The past few years have witnessed the flourishing of crowdsourced medical question answering (Q&A) websites. Patients who have medical information demands tend to post questions ab…
Towards Differentially Private Truth Discovery for Crowd Sensing Systems
Yaliang Li, Houping Xiao, Zhan Qin +5
Nowadays, crowd sensing becomes increasingly more popular due to the ubiquitous usage of mobile devices. However, the quality of such human-generated sensory data varies significan…
A deep learning approach for detecting traffic accidents from social media data
Zhenhua Zhang, Qing Heb, Jing Gao +1
This paper employs deep learning in detecting the traffic accident from social media data. First, we thoroughly investigate the 1-year over 3 million tweet contents in two metropol…
Long-Term Memory Networks for Question Answering
Fenglong Ma, Radha Chitta, Saurabh Kataria +4
Question answering is an important and difficult task in the natural language processing domain, because many basic natural language processing tasks can be cast into a question an…
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks
Fenglong Ma, Radha Chitta, Jing Zhou +3
Predicting the future health information of patients from the historical Electronic Health Records (EHR) is a core research task in the development of personalized healthcare. Pati…
Multi-source Hierarchical Prediction Consolidation
Chenwei Zhang, Sihong Xie, Yaliang Li +3
In big data applications such as healthcare data mining, due to privacy concerns, it is necessary to collect predictions from multiple information sources for the same instance, wi…
A Survey on Truth Discovery
Yaliang Li, Jing Gao, Chuishi Meng +5
Thanks to information explosion, data for the objects of interest can be collected from increasingly more sources. However, for the same object, there usually exist conflicts among…
Multilabel Consensus Classification
Sihong Xie, Xiangnan Kong, Jing Gao +2
In the era of big data, a large amount of noisy and incomplete data can be collected from multiple sources for prediction tasks. Combining multiple models or data sources helps to…