Xiang-Rong Sheng

Orcid: 0009-0006-4864-574X

According to our database1, Xiang-Rong Sheng authored at least 17 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

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
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model.
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

COPR: Consistency-Oriented Pre-Ranking for Online Advertising.
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

CAN: Feature Co-Action Network for Click-Through Rate Prediction.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models.
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

CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction.
CoRR, 2020

2019
Multi-View Anomaly Detection: Neighborhood in Locality Matters.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Distance Metric Facilitated Transportation between Heterogeneous Domains.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Semi-Supervised Multi-Modal Learning with Incomplete Modalities.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018


  Loading...