49 citations · 116 across the 10 of their papers we have counts for
10 papers
ELEC: Efficient Large Language Model-Empowered Click-Through Rate Prediction
Rui Dong, Wentao Ouyang, Xiangzheng Liu
Click-through rate (CTR) prediction plays an important role in online advertising systems. On the one hand, traditional CTR prediction models capture the collaborative signals in t…
FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction
Wentao Ouyang, Rui Dong, Ri Tao +1
Click-through rate (CTR) prediction plays an important role in online advertising platforms. Most existing methods use data from the advertising platform itself for CTR prediction.…
Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model
Wentao Ouyang, Xiuwu Zhang, Chaofeng Guo +8
In real-world advertising systems, conversions have different types in nature and ads can be shown in different display scenarios, both of which highly impact the actual conversion…
Contrastive Learning for Conversion Rate Prediction
Wentao Ouyang, Rui Dong, Xiuwu Zhang +4
Conversion rate (CVR) prediction plays an important role in advertising systems. Recently, supervised deep neural network-based models have shown promising performance in CVR predi…
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction
Wentao Ouyang, Xiuwu Zhang, Shukui Ren +5
Click-through rate (CTR) prediction is one of the most central tasks in online advertising systems. Recent deep learning-based models that exploit feature embedding and high-order…
MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction
Wentao Ouyang, Xiuwu Zhang, Lei Zhao +5
Click-through rate (CTR) prediction is a critical task in online advertising systems. Existing works mainly address the single-domain CTR prediction problem and model aspects such…
Click-Through Rate Prediction with the User Memory Network
Wentao Ouyang, Xiuwu Zhang, Shukui Ren +3
Click-through rate (CTR) prediction is a critical task in online advertising systems. Models like Deep Neural Networks (DNNs) are simple but stateless. They consider each target ad…
Representation Learning-Assisted Click-Through Rate Prediction
Wentao Ouyang, Xiuwu Zhang, Shukui Ren +3
Click-through rate (CTR) prediction is a critical task in online advertising systems. Most existing methods mainly model the feature-CTR relationship and suffer from the data spars…
Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction
Wentao Ouyang, Xiuwu Zhang, Li Li +4
Click-through rate (CTR) prediction is a critical task in online advertising systems. A large body of research considers each ad independently, but ignores its relationship to othe…
Distributed Source Localization in Wireless Underground Sensor Networks
Hongyang Chen, Robin Wentao Ouyang, Chen Wang
Node localization plays an important role in many practical applications of wireless underground sensor networks (WUSNs), such as finding the locations of earthquake epicenters, un…