Qing Da

According to our database1, Qing Da authored at least 16 papers between 2013 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Diversity Regularized Interests Modeling for Recommender Systems.
CoRR, 2021

2020
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction.
CoRR, 2020

Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce.
CoRR, 2020

Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Policy Optimization with Model-Based Explorations.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Reusable Reinforcement Learning via Shallow Trails.
IEEE Trans. Neural Networks Learn. Syst., 2018

Accelerating E-Commerce Search Engine Ranking by Contextual Factor Selection.
CoRR, 2018

SPEEDING Up the Metabolism in E-commerce by Reinforcement Mechanism DESIGN.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Stabilizing Reinforcement Learning in Dynamic Environment with Application to Online Recommendation.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2016
Boosting Nonparametric Policies.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2014
Napping for functional representation of policy.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Learning with Augmented Class by Exploiting Unlabeled Data.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Self-Practice Imitation Learning from Weak Policy.
Proceedings of the Partially Supervised Learning - Second IAPR International Workshop, 2013


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