119 citations · 147 across the 4 of their papers we have counts for
6 papers
Data Poisoning Attacks and Defenses to Crowdsourcing Systems
Minghong Fang, Minghao Sun, Qi Li +3
A key challenge of big data analytics is how to collect a large volume of (labeled) data. Crowdsourcing aims to address this challenge via aggregating and estimating high-quality d…
Data Poisoning Attacks to Deep Learning Based Recommender Systems
Hai Huang, Jiaming Mu, Neil Zhenqiang Gong +3
Recommender systems play a crucial role in helping users to find their interested information in various web services such as Amazon, YouTube, and Google News. Various recommender…
Automatic Historical Feature Generation through Tree-based Method in Ads Prediction
Hongjian Wang, Qi Li, Lanbo Zhang +4
Historical features are important in ads click-through rate (CTR) prediction, because they account for past engagements between users and ads. In this paper, we study how to effici…
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search
Houwen Peng, Hao Du, Hongyuan Yu +3
One-shot weight sharing methods have recently drawn great attention in neural architecture search due to high efficiency and competitive performance. However, weight sharing across…
Improving Relation Extraction with Knowledge-attention
Pengfei Li, Kezhi Mao, Xuefeng Yang +1
While attention mechanisms have been proven to be effective in many NLP tasks, majority of them are data-driven. We propose a novel knowledge-attention encoder which incorporates p…
Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred Embeddings
Zhaoning Li, Qi Li, Xiaotian Zou +1
Causality extraction from natural language texts is a challenging open problem in artificial intelligence. Existing methods utilize patterns, constraints, and machine learning tech…