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Penghui Wei
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2020 – today
- 2024
- [j5]Shuai Wang, Penghui Wei, Qingchao Kong, Wenji Mao:
A knowledge enhanced learning and semantic composition model for multi-claim fact checking. Knowl. Based Syst. 304: 112439 (2024) - [c20]Ruike Zhang, Yuan Tian, Penghui Wei, Daniel Zeng, Wenji Mao:
An LLM-Enabled Knowledge Elicitation and Retrieval Framework for Zero-Shot Cross-Lingual Stance Identification. EMNLP (Findings) 2024: 12253-12266 - 2023
- [j4]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: 1-11 (2023) - [c19]Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng:
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. CIKM 2023: 1857-1866 - [c18]Penghui Wei, Yongqiang Chen, Shaoguo Liu, Liang Wang, Bo Zheng:
RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads. KDD 2023: 5204-5214 - [c17]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: 3037-3046 - [c16]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: 983-991 - [i11]Penghui Wei, Yongqiang Chen, Shaoguo Liu, Liang Wang, Bo Zheng:
RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads. CoRR abs/2302.02592 (2023) - [i10]Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng:
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. CoRR abs/2302.02636 (2023) - [i9]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 abs/2305.08328 (2023) - 2022
- [j3]Shuai Wang, Wenji Mao, Penghui Wei, Daniel Dajun Zeng:
Knowledge structure driven prototype learning and verification for fact checking. Knowl. Based Syst. 238: 107910 (2022) - [c15]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: 4635-4639 - [c14]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: 9-17 - [c13]Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng:
Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding. SIGIR 2022: 2634-2638 - [c12]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: 2645-2649 - [c11]Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng:
UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation. WWW 2022: 2078-2087 - [i8]Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng:
UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation. CoRR abs/2201.08024 (2022) - [i7]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 abs/2205.07295 (2022) - [i6]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 abs/2205.08943 (2022) - [i5]Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng:
Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding. CoRR abs/2205.14970 (2022) - [i4]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 abs/2206.13108 (2022) - [i3]Zixuan Xu, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng:
Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation. CoRR abs/2211.11191 (2022) - 2021
- [j2]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): 3-12 (2021) - [j1]Penghui Wei, Jiahao Zhao, Wenji Mao:
A Graph-to-Sequence Learning Framework for Summarizing Opinionated Texts. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1650-1660 (2021) - [c10]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: 3528-3532 - [c9]Jiahao Zhao, Penghui Wei, Wenji Mao:
Robust Neural Text Classification and Entailment via Mixup Regularized Adversarial Training. SIGIR 2021: 1778-1782 - [i2]Shuai Wang, Penghui Wei, Jiahao Zhao, Wenji Mao:
A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking. CoRR abs/2104.13046 (2021) - 2020
- [c8]Penghui Wei, Jiahao Zhao, Wenji Mao:
Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction. ACL 2020: 3171-3181
2010 – 2019
- 2019
- [c7]Penghui Wei, Wenji Mao, Guandan Chen:
A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection. AAAI 2019: 7249-7256 - [c6]Penghui Wei, Nan Xu, Wenji Mao:
Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity. EMNLP/IJCNLP (1) 2019: 4786-4797 - [c5]Xinglin Xiao, Penghui Wei, Wenji Mao, Lei Wang:
Context-Aware Multi-View Attention Networks for Emotion Cause Extraction. ISI 2019: 128-133 - [c4]Penghui Wei, Wenji Mao:
Modeling Transferable Topics for Cross-Target Stance Detection. SIGIR 2019: 1173-1176 - [i1]Penghui Wei, Nan Xu, Wenji Mao:
Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity. CoRR abs/1909.08211 (2019) - 2018
- [c3]Penghui Wei, Wenji Mao, Daniel Zeng:
A Target-Guided Neural Memory Model for Stance Detection in Twitter. IJCNN 2018: 1-8 - [c2]Penghui Wei, Junjie Lin, Wenji Mao:
Multi-Target Stance Detection via a Dynamic Memory-Augmented Network. SIGIR 2018: 1229-1232
2000 – 2009
- 2007
- [c1]Dong Li, Penghui Wei, Xiaolong Zhu:
Novel Space-Time Coding and Mapping Scheme in Single-Carrier FDMA Systems. PIMRC 2007: 1-4
Coauthor Index
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last updated on 2024-11-19 20:50 CET by the dblp team
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