Rong Xiao

Orcid: 0000-0001-7793-6040

Affiliations:
  • Alibaba Group, Hangzhou, China


According to our database1, Rong Xiao authored at least 17 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
FedSea: Federated Learning via Selective Feature Alignment for Non-IID Multimodal Data.
IEEE Trans. Multim., 2024

Hi-Gen: Generative Retrieval For Large-Scale Personalized E-commerce Search.
CoRR, 2024

Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
SGPT: Semantic graphs based pre-training for aspect-based sentiment analysis.
World Wide Web (WWW), July, 2023

Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model.
CoRR, 2023

Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022
Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

User-Aware Multi-Interest Learning for Candidate Matching in Recommenders.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021
Learning a Product Relevance Model from Click-Through Data in E-Commerce.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks.
Proceedings of the WSDM '21, 2021

Path-based Deep Network for Candidate Item Matching in Recommenders.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Weakly Supervised Co-Training of Query Rewriting andSemantic Matching for e-Commerce.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019


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