Gong-Duo Zhang

Orcid: 0000-0002-4948-4355

According to our database1, Gong-Duo Zhang authored at least 11 papers between 2017 and 2024.

Collaborative distances:

Timeline

2017
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2022
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2024
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Links

On csauthors.net:

Bibliography

2024
Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Alleviating Matching Bias in Marketing Recommendations.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022
A Multi-Task Learning Approach for Delayed Feedback Modeling.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2018
Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate.
CoRR, 2018

Feature-Distributed SVRG for High-Dimensional Linear Classification.
CoRR, 2018

Proximal SCOPE for Distributed Sparse Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Lock-Free Optimization for Non-Convex Problems.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017


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