Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios.

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[DOI]

Zhaoxin Huan

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction.

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[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing.

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[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Multiple Instance Learning for Uplift Modeling.

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[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation.

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[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

See Clicks Differently: Modeling User Clicking Alternatively with Multi Classifiers for CTR Prediction.

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[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Imbalance-Aware Uplift Modeling for Observational Data.

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[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Policy Efficient Reduction Approach to Convex Constrained Deep Reinforcement Learning.

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[DOI]

CoRR, 2021

A framework for massive scale personalized promotion.

[BibT_eX]

[DOI]

CoRR, 2021

Graph Neural Network Based VC Investment Success Prediction.

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[DOI]

CoRR, 2021

Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Asynchronous Decentralized Online Learning.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

User Retention: A Causal Approach with Triple Task Modeling.

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[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign.

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[DOI]

Proceedings of the Database Systems for Advanced Applications, 2021

Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks.

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[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Adversarial Learning for Incentive Optimization in Mobile Payment Marketing.

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[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing.

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[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021