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Fangye Wang
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2020 – today
- 2023
- [c5]Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu:
Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction. CIKM 2023: 2523-2533 - [c4]Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu:
CL4CTR: A Contrastive Learning Framework for CTR Prediction. WSDM 2023: 805-813 - [i4]Fangye Wang, Yingxu Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Li Shang, Ning Gu:
A Comprehensive Summarization and Evaluation of Feature Refinement Modules for CTR Prediction. CoRR abs/2311.04625 (2023) - [i3]Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu:
Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction. CoRR abs/2311.04635 (2023) - 2022
- [c3]Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu:
MCRF: Enhancing CTR Prediction Models via Multi-channel Feature Refinement Framework. DASFAA (2) 2022: 359-374 - [c2]Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu:
Enhancing CTR Prediction with Context-Aware Feature Representation Learning. SIGIR 2022: 343-352 - [i2]Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu:
Enhancing CTR Prediction with Context-Aware Feature Representation Learning. CoRR abs/2204.08758 (2022) - [i1]Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu:
CL4CTR: A Contrastive Learning Framework for CTR Prediction. CoRR abs/2212.00522 (2022) - 2021
- [c1]Yao Chi, Peng Zhang, Fangye Wang, Tun Lu, Ning Gu:
Legal Judgement Prediction of Sentence Commutation with Multi-document Information. ChineseCSCW (1) 2021: 473-487
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