Anxiang Zeng
Orcid: 0000-0003-3869-5357
According to our database1,
Anxiang Zeng
authored at least 36 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Transformer-Empowered Multi-Modal Item Embedding for Enhanced Image Search in E-commerce.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online.
IEEE Trans. Knowl. Data Eng., 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
DHA: Product Title Generation with Discriminative Hierarchical Attention for E-commerce.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Computer Graphics and Applications, 2021
AI Mag., 2021
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
Generator and Critic: A Deep Reinforcement Learning Approach for Slate Re-ranking in E-commerce.
CoRR, 2020
Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce.
CoRR, 2020
Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce.
Proceedings of the 20th International Conference on Data Mining Workshops, 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
Int. J. Comput. Vis., 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
CoRR, 2018
Proceedings of the SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 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
Proceedings of the Computer Vision - ECCV 2018, 2018
2009
Proceedings of the 2009 International Conference on Digital Image Processing, 2009