Selected Publications

(*Equal contribution. †Corresponding author.)

Generation

• IDEATION: Diversifying Ad Text Generation in Sponsored Search with Latent Diffusion
  Penghui Wei
  WWW ’25 Companion: Companion Proceedings of the ACM Web Conference 2025, Short Research Paper, pages 1394-1397. Sydney, NSW, Australia, April 28-May 2, 2025.

• Perspective-driven Preference Optimization with Dispersed Representations for Diverse Argument Generation
  Yilin Cao, Ruike Zhang, Penghui Wei†, Qingchao Kong, Wenji Mao
  EMNLP ’25, Findings: Findings of the Association for Computational Linguistics: EMNLP 2025, to appear. Suzhou, China, November 5–9, 2025.

• CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning
  Penghui Wei, Xuanhua Yang, Shaoguo Liu, Liang Wang, Bo Zheng
  NAACL ’22: Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Industry Track, pages 9–17. Seattle, Washington, USA, July 10-15, 2022.

• Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding
  Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng
  SIGIR ’22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 2634-2638. Madrid, Spain, July 11-15, 2022.

• A Graph-to-Sequence Learning Framework for Summarizing Opinionated Texts
  Penghui Wei, Jiahao Zhao, Wenji Mao
  TASLP ’21: IEEE/ACM Transactions on Audio, Speech, and Language Processing, Volume 29, 2021: 1650-1660.

Information Retrieval and Computational Advertising

• RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads
  Penghui Wei, Yongqiang Chen, Shaoguo Liu, Liang Wang, Bo Zheng
  KDD ’23: Proceedings of the 2023 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 5204–5214. Long Beach, CA, USA, August 6-10, 2023.

• 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
  SIGIR ’23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 3037-3046. July 23-27, 2023.

• Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation
  Zixuan Xu*, Penghui Wei*, Shaoguo Liu, Liang Wang, Bo Zheng
  WWW ’23: Proceedings of the Web Conference 2023, pages 983–991. Austin, Texas, USA, April 30 - May 4, 2023.

• Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking
  Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng
  CIKM ’23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, pages 1857–1866. Birmingham, UK, October 21-25, 2023.

• UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation
  Zixuan Xu*, Penghui Wei*, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng
  WWW ’22: Proceedings of the Web Conference 2022, pages 2078-2087. Online, Lyon, France, April 25-29, 2022.

• 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
  SIGIR ’22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 2645–2649. Madrid, Spain, July 11-15, 2022.

• AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction
  Xuanhua Yang, Xiaoyu Peng, Penghui Wei†, Shaoguo Liu, Liang Wang, Bo Zheng
  CIKM ’22: Proceedings of the 31st ACM International Conference on Information and Knowledge Management, pages 4635-4639. Hybrid Conference, Hosted in Atlanta, Georgia, USA, October 17-21, 2022.

• AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate Estimation
  Penghui Wei, Weimin Zhang, Zixuan Xu, Shaoguo Liu, Kuang-chih Lee, Bo Zheng
  CIKM ’21: Proceedings of the 30th ACM International Conference on Information and Knowledge Management, pages 3528-3532. Virtual Event, QLD, Australia, November 1-5, 2021.

Opinion Mining and Social Science Applications

• 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
  EMNLP ’24, Findings: Findings of the Association for Computational Linguistics: EMNLP 2024, pages 12253-12266. Miami, Florida, USA, November 12–16, 2024.

• Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction
  Penghui Wei, Jiahao Zhao, Wenji Mao
  ACL ’20: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 3171–3181. Online, July 5–10, 2020.

• Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity
  Penghui Wei, Nan Xu, Wenji Mao
  EMNLP ’19: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, pages 4787-4798. Hong Kong, China, November 3-7, 2019.

• Modeling Transferable Topics for Cross-Target Stance Detection
  Penghui Wei and Wenji Mao
  SIGIR ’19: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 1173-1176. Paris, France, July 21-25, 2019.

• A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection
  Penghui Wei, Wenji Mao, Guandan Chen
  AAAI ’19: Proceedings of the 33rd AAAI Conference on Artificial Intelligence, pages 7249-7256. Honolulu, Hawaii, USA, January 27 - February 1, 2019.

• Multi-Target Stance Detection via a Dynamic Memory-Augmented Network
  Penghui Wei, Junjie Lin, Wenji Mao
  SIGIR ’18: Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, pages 1229-1232. Ann Arbor, MI, USA, July 8-12, 2018.

• A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking
  Shuai Wang, Penghui Wei, Jiahao Zhao, Wenji Mao
  Knowledge-Based Systems, 2024.

• Knowledge Structure driven Prototype Learning and Verification for Fact Checking
  Shuai Wang, Wenji Mao, Penghui Wei, Daniel Zeng
  Knowledge-Based Systems, 2021.

• MDA: Multimodal Data Augmentation Framework for Boosting Performance on Image-Text Sentiment/Emotion Classification Tasks
  Nan Xu, Wenji Mao, Penghui Wei, Daniel Zeng
  IEEE Intelligent Systems, Volume 36, Issue 6, 2020: 3-12.

Robustness in NLP

• Robust Neural Text Classification and Entailment via Mixup Regularized Adversarial Training
  Jiahao Zhao, Penghui Wei, Wenji Mao
  SIGIR ’21: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 1778-1782. Virtual Event, Canada, July 11-15, 2021.