Xiang-Rong Sheng
Orcid: 0009-0006-4864-574X
According to our database1,
Xiang-Rong Sheng
authored at least 17 papers
between 2018 and 2024.
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Bibliography
2024
Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models.
CoRR, 2022
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction.
CoRR, 2021
Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
Few-shot learning with adaptively initialized task optimizer: a practical meta-learning approach.
Mach. Learn., 2020
2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018