activity
20192021
most citedAutoDebias: Learning to Debias for Recommendation

166 citations · 174 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2021★ 166 cited

AutoDebias: Learning to Debias for Recommendation

Jiawei Chen, Hande Dong, Yang Qiu +5

Recommender systems rely on user behavior data like ratings and clicks to build personalization model. However, the collected data is observational rather than experimental, causin…

cs.CV2020★ 2 cited

Scene Text Detection with Scribble Lines

Wenqing Zhang, Yang Qiu, Minghui Liao +3

Scene text detection, which is one of the most popular topics in both academia and industry, can achieve remarkable performance with sufficient training data. However, the annotati…

cs.LG2020★ 3 cited

Predicting conversions in display advertising based on URL embeddings

Yang Qiu, Nikolaos Tziortziotis, Martial Hue +1

Online display advertising is growing rapidly in recent years thanks to the automation of the ad buying process. Real-time bidding (RTB) allows the automated trading of ad impressi…

cs.CV2020★ 3 cited

FedOCR: Communication-Efficient Federated Learning for Scene Text Recognition

Wenqing Zhang, Yang Qiu, Song Bai +3

While scene text recognition techniques have been widely used in commercial applications, data privacy has rarely been taken into account by this research community. Most existing…

cs.MM2019

Handcrafted vs Deep Learning Classification for Scalable Video QoE Modeling

Dasari Mallesham, Christina Vlachou, Shruti Sanadhya +4

Mobile video traffic is dominant in cellular and enterprise wireless networks. With the advent of diverse applications, network administrators face the challenge to provide high Qo…