Xiaoyi Zeng

Orcid: 0000-0002-3742-4910

According to our database1, Xiaoyi Zeng authored at least 28 papers between 2019 and 2023.

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

Timeline

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Bibliography

2023
Enhancing Cross-domain Click-Through Rate Prediction via Explicit Feature Augmentation.
CoRR, 2023

Large Language Model based Long-tail Query Rewriting in Taobao Search.
CoRR, 2023

Graph Contrastive Learning with Multi-Objective for Personalized Product Retrieval in Taobao Search.
CoRR, 2023

COURIER: Contrastive User Intention Reconstruction for Large-Scale Pre-Train of Image Features.
CoRR, 2023

Rethinking the Role of Pre-ranking in Large-scale E-Commerce Searching System.
CoRR, 2023

Mixer: Image to Multi-Modal Retrieval Learning for Industrial Application.
CoRR, 2023

Cross-domain Augmentation Networks for Click-Through Rate Prediction.
CoRR, 2023

MAKE: Product Retrieval with Vision-Language Pre-training in Taobao Search.
CoRR, 2023

MAKE: Vision-Language Pre-training based Product Retrieval in Taobao Search.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Multimodal Pre-Training with Self-Distillation for Product Understanding in E-Commerce.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Delving into E-Commerce Product Retrieval with Vision-Language Pre-training.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

MSRA: A Multi-Aspect Semantic Relevance Approach for E-Commerce via Multimodal Pre-Training.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Multi-Objective Personalized Product Retrieval in Taobao Search.
CoRR, 2022

IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Joint Learning of E-commerce Search and Recommendation with a Unified Graph Neural Network.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 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

ReprBERT: Distilling BERT to an Efficient Representation-Based Relevance Model for E-Commerce.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Intelligent Request Strategy Design in Recommender System.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Query Rewriting in TaoBao Search.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Embedding-based Product Retrieval in Taobao Search.
CoRR, 2021

Embedding-based Product Retrieval in Taobao Search.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Adversarial Multimodal Representation Learning for Click-Through Rate Prediction.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Neuron-level Structured Pruning using Polarization Regularizer.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Time-Aware Item Evolution Network for Click-Through Rate Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
A Minimax Game for Instance based Selective Transfer Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019


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