Dezhi Ye

Orcid: 0000-0001-9776-2404

According to our database1, Dezhi Ye authored at least 13 papers between 2019 and 2026.

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

2026
Rank4Gen: RAG-Preference-Aligned Document Set Selection and Ranking.
CoRR, January, 2026

TFRank: Think-Free Reasoning Enables Practical Pointwise LLM Ranking.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
QSpell 250K: A Large-Scale, Practical Dataset for Chinese Search Query Spell Correction.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Applying Large Language Model For Relevance Search In Tencent.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Best Practices for Distilling Large Language Models into BERT for Web Search Ranking.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Can LLMs Really Help Query Understanding In Web Search? A Practical Perspective.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
Enhancing Asymmetric Web Search through Question-Answer Generation and Ranking.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Span Confusion is All You Need for Chinese Spelling Correction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Improving Query Correction Using Pre-train Language Model In Search Engines.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
CFFNN: Cross Feature Fusion Neural Network for Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., 2022

2020
OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

RePiDeM: A Refined POI Demand Modeling based on Multi-Source Data<sup>*</sup>.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019
GMTL: A GART Based Multi-task Learning Model for Multi-Social-Temporal Prediction in Online Games.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019


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