| 2025 | EMNLP | Perspective-driven Preference Optimization with Entropy Maximization for Diverse Argument Generation. | Yilin Cao, Ruike Zhang, Penghui Wei, Qingchao Kong, Wenji Mao |
| 2025 | WWW | Ideation: Diversifying Ad Text Generation in Sponsored Search with Latent Diffusion. | Penghui Wei |
| 2024 | EMNLP | An LLM-Enabled Knowledge Elicitation and Retrieval Framework for Zero-Shot Cross-Lingual Stance Identification. | Ruike Zhang, Yuan Tian, Penghui Wei, Daniel Zeng, Wenji Mao |
| 2023 | CIKM | Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. | Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2023 | KDD | RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads. | Penghui Wei, Yongqiang Chen, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2023 | WWW | Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation. | Zixuan Xu, Penghui Wei, Shaoguo Liu, Weimin Zhang, Liang Wang, Bo Zheng |
| 2023 | SIGIR | FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. | Penghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu, Liang Wang, Bo Zheng |
| 2022 | CIKM | AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction. | Xuanhua Yang, Xiaoyu Peng, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2022 | NAACL | CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning. | Penghui Wei, Xuanhua Yang, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2022 | WWW | UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation. | Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2022 | SIGIR | Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding. | Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng |
| 2022 | SIGIR | Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising. | Penghui Wei, Weimin Zhang, Ruijie Hou, Jinquan Liu, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2021 | CIKM | AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate Estimation. | Penghui Wei, Weimin Zhang, Zixuan Xu, Shaoguo Liu, Kuang-chih Lee, Bo Zheng |
| 2021 | SIGIR | Robust Neural Text Classification and Entailment via Mixup Regularized Adversarial Training. | Jiahao Zhao, Penghui Wei, Wenji Mao |
| 2020 | ACL | Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction. | Penghui Wei, Jiahao Zhao, Wenji Mao |
| 2019 | AAAI | A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection. | Penghui Wei, Wenji Mao, Guandan Chen |
| 2019 | EMNLP | Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity. | Penghui Wei, Nan Xu, Wenji Mao |
| 2019 | ISI | Context-Aware Multi-View Attention Networks for Emotion Cause Extraction. | Xinglin Xiao, Penghui Wei, Wenji Mao, Lei Wang |
| 2019 | SIGIR | Modeling Transferable Topics for Cross-Target Stance Detection. | Penghui Wei, Wenji Mao |
| 2018 | IJCNN | A Target-Guided Neural Memory Model for Stance Detection in Twitter. | Penghui Wei, Wenji Mao, Daniel Zeng |
| 2018 | SIGIR | Multi-Target Stance Detection via a Dynamic Memory-Augmented Network. | Penghui Wei, Junjie Lin, Wenji Mao |
| 2007 | PIMRC | Novel Space-Time Coding and Mapping Scheme in Single-Carrier FDMA Systems. | Dong Li, Penghui Wei, Xiaolong Zhu |