Penghui Wei

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 33

Top Topics

Online Advertising

Sponsored Search

Hierarchical Representation

Top Venues

Publications

Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. CIKM (2023)
Zixuan Xu, Penghui Wei, Shaoguo Liu, Weimin Zhang, Liang Wang, Bo Zheng
Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation. WWW (2023)
Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. CoRR (2023)
Penghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu, Liang Wang, Bo Zheng
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. CoRR (2023)
Chao Cao, Jiyun Zhao, Guilin Li, Liuyin Chao, Di Huang, Jianhong Kang, Yunfei Wang, Bingquan Mao, Penghui Wei, Hao Liu
Coupling Effect Mechanism of Microscale Waterjet Dynamics and Manipulation Mode on Clinical Indicators. IEEE Trans. Instrum. Meas. 72 (2023)
Penghui Wei, Yongqiang Chen, Shaoguo Liu, Liang Wang, Bo Zheng
RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads. KDD (2023)
Penghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu, Liang Wang, Bo Zheng
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. SIGIR (2023)
Penghui Wei, Yongqiang Chen, Shaoguo Liu, Liang Wang, Bo Zheng
RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads. CoRR (2023)
Xuanhua Yang, Xiaoyu Peng, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng
AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction. CoRR (2022)
Shuai Wang, Wenji Mao, Penghui Wei, Daniel Dajun Zeng
Knowledge structure driven prototype learning and verification for fact checking. Knowl. Based Syst. 238 (2022)
Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng
Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding. CoRR (2022)
Xuanhua Yang, Xiaoyu Peng, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng
AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction. CIKM (2022)
Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng
UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation. WWW (2022)
Penghui Wei, Xuanhua Yang, Shaoguo Liu, Liang Wang, Bo Zheng
CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning. NAACL-HLT (Industry Papers) (2022)
Penghui Wei, Xuanhua Yang, Shaoguo Liu, Liang Wang, Bo Zheng
CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning. CoRR (2022)
Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng
Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding. SIGIR (2022)
Zixuan Xu, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng
Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation. CoRR (2022)
Penghui Wei, Weimin Zhang, Ruijie Hou, Jinquan Liu, Shaoguo Liu, Liang Wang, Bo Zheng
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising. CoRR (2022)
Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng
UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation. CoRR (2022)
Penghui Wei, Weimin Zhang, Ruijie Hou, Jinquan Liu, Shaoguo Liu, Liang Wang, Bo Zheng
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising. SIGIR (2022)
Jiahao Zhao, Penghui Wei, Wenji Mao
Robust Neural Text Classification and Entailment via Mixup Regularized Adversarial Training. SIGIR (2021)
Shuai Wang, Penghui Wei, Jiahao Zhao, Wenji Mao
A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking. CoRR (2021)
Nan Xu, Wenji Mao, Penghui Wei, Daniel Zeng
MDA: Multimodal Data Augmentation Framework for Boosting Performance on Sentiment/Emotion Classification Tasks. IEEE Intell. Syst. 36 (6) (2021)
Penghui Wei, Jiahao Zhao, Wenji Mao
A Graph-to-Sequence Learning Framework for Summarizing Opinionated Texts. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Penghui Wei, Weimin Zhang, Zixuan Xu, Shaoguo Liu, Kuang-chih Lee, Bo Zheng
AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate Estimation. CIKM (2021)
Penghui Wei, Jiahao Zhao, Wenji Mao
Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction. ACL (2020)
Penghui Wei, Wenji Mao, Guandan Chen
A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection. AAAI (2019)
Penghui Wei, Wenji Mao
Modeling Transferable Topics for Cross-Target Stance Detection. SIGIR (2019)
Penghui Wei, Nan Xu, Wenji Mao
Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity. EMNLP/IJCNLP (1) (2019)
Xinglin Xiao, Penghui Wei, Wenji Mao, Lei Wang
Context-Aware Multi-View Attention Networks for Emotion Cause Extraction. ISI (2019)
Penghui Wei, Nan Xu, Wenji Mao
Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity. CoRR (2019)
Penghui Wei, Junjie Lin, Wenji Mao
Multi-Target Stance Detection via a Dynamic Memory-Augmented Network. SIGIR (2018)
Penghui Wei, Wenji Mao, Daniel Zeng
A Target-Guided Neural Memory Model for Stance Detection in Twitter. IJCNN (2018)
Dong Li, Penghui Wei, Xiaolong Zhu
Novel Space-Time Coding and Mapping Scheme in Single-Carrier FDMA Systems. PIMRC (2007)