Yiming Qiu

Orcid: 0000-0002-5900-4773

Affiliations:
  • JD.com, Beijing, China


According to our database1, Yiming Qiu authored at least 9 papers between 2021 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
pEBR: A Probabilistic Approach to Embedding Based Retrieval.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
Optimizing E-commerce Search: Toward a Generalizable and Rank-Consistent Pre-Ranking Model.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023
A Multi-Granularity Matching Attention Network for Query Intent Classification in E-commerce Retrieval.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce Search.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Query Rewriting via Cycle-Consistent Translation for E-Commerce Search.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021


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