Fen Lin

Orcid: 0009-0008-8728-3475

Affiliations:
  • Tencent, Beijing, China


According to our database1, Fen Lin authored at least 14 papers between 2018 and 2026.

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

2026
Generalized Pseudo-Relevance Feedback.
Proceedings of the ACM Web Conference 2026, 2026

Unsupervised Dense Retrieval with Conterfactual Contrastive Learning.
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025
Harnessing Multimodal Large Language Models for Personalized Product Search with Query-aware Refinement.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024
Unsupervised dense retrieval with conterfactual contrastive learning.
CoRR, 2024

2021
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect.
Frontiers Big Data, 2021

Open Hierarchical Relation Extraction.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020
FAQ-Based Question Answering via Knowledge Anchors.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Denoising Relation Extraction from Document-level Distant Supervision.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Meta-Information Guided Meta-Learning for Few-Shot Relation Classification.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Neural Snowball for Few-Shot Relation Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Language Modeling with Sparse Product of Sememe Experts.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Incorporating Chinese Characters of Words for Lexical Sememe Prediction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning With Confidence.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018


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