Anxiang Zeng

Orcid: 0000-0003-3869-5357

According to our database1, Anxiang Zeng authored at least 34 papers between 2009 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
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

Clustered Embedding Learning for Recommender Systems.
Proceedings of the ACM Web Conference 2023, 2023

Recurrent Temporal Revision Graph Networks.
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

Cross-Lingual Product Retrieval in E-Commerce Search.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

Poisson Vector Graphics (PVG)-Guided Face Color Transfer in Videos.
IEEE Computer Graphics and Applications, 2021

Improving Search Engine Efficiency through Contextual Factor Selection.
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

A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments.
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
Hybrid Interest Modeling for Long-tailed Users.
CoRR, 2020

Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction.
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
CU-Net: Component Unmixing Network for Textile Fiber Identification.
Int. J. Comput. Vis., 2019

Matrix embedding method in match for session-based recommendation.
CoRR, 2019

Vectorization Based Color Transfer for Portrait Images.
Comput. Aided Des., 2019

An Online Intelligent Visual Interaction System.
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

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

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

Dual Swap Disentangling.
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

Selective Zero-Shot Classification with Augmented Attributes.
Proceedings of the Computer Vision - ECCV 2018, 2018

2009
Real-Time Visualization of Virtual Huge Texture.
Proceedings of the 2009 International Conference on Digital Image Processing, 2009


  Loading...