Wentian Bao

Orcid: 0009-0001-2195-0553

According to our database1, Wentian Bao authored at least 16 papers between 2017 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

RecFlow: An Industrial Full Flow Recommendation Dataset.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Making Transformer Decoders Better Differentiable Indexers.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
RecFlow: An Industrial Full Flow Recommendation Dataset.
CoRR, 2024

Beyond Relevance: Improving User Engagement by Personalization for Short-Video Search.
CoRR, 2024

A Self-boosted Framework for Calibrated Ranking.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2022
Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Self-Supervised Learning on Users' Spontaneous Behaviors for Multi-Scenario Ranking in E-commerce.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019
A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random.
CoRR, 2019

Conversion Rate Prediction via Post-Click Behaviour Modeling.
CoRR, 2019

2017
Maximum Value Matters: Finding Hot Topics in Scholarly Fields.
CoRR, 2017


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