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Weiyu Cheng
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2020 – today
- 2023
- [j3]Shuming Kong
, Weiyu Cheng
AutoSrh: An Embedding Dimensionality Search Framework for Tabular Data Prediction. IEEE Trans. Knowl. Data Eng. 35(7): 6673-6686 (2023) - [j2]Yanyan Shen
RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction. ACM Trans. Inf. Syst. 41(3): 69:1-69:26 (2023) - 2022
- [i4]Yanyan Shen, Lifan Zhao, Weiyu Cheng, Zibin Zhang, Wenwen Zhou, Kangyi Lin:
RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction. CoRR abs/2210.16080 (2022) - 2021
- [j1]Weiyu Cheng, Yanyan Shen, Linpeng Huang, Yanmin Zhu:
Dual-Embedding based Deep Latent Factor Models for Recommendation. ACM Trans. Knowl. Discov. Data 15(5): 85:1-85:24 (2021) - 2020
- [c5]Weiyu Cheng, Yanyan Shen, Linpeng Huang:
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions. AAAI 2020: 3609-3616 - [i3]Weiyu Cheng, Yanyan Shen, Linpeng Huang:
Differentiable Neural Input Search for Recommender Systems. CoRR abs/2006.04466 (2020)
2010 – 2019
- 2019
- [c4]Xuansheng Lu, Weiyu Cheng, Yanyan Shen, Yanmin Zhu:
LADD: A Length-Adaptive Approach to Detecting Taxi Anomalous Detours. ICPADS 2019: 141-144 - [c3]Weiyu Cheng, Yanyan Shen, Linpeng Huang, Yanmin Zhu:
Incorporating Interpretability into Latent Factor Models via Fast Influence Analysis. KDD 2019: 885-893 - [i2]Weiyu Cheng, Yanyan Shen, Linpeng Huang:
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions. CoRR abs/1909.03276 (2019) - 2018
- [c2]Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang:
A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations. AAAI 2018: 2151-2158 - [c1]Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang:
DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation. IJCAI 2018: 3329-3335 - [i1]Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang:
Explaining Latent Factor Models for Recommendation with Influence Functions. CoRR abs/1811.08120 (2018)
Coauthor Index
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