Dawei Yin

Orcid: 0000-0002-7948-409X

Affiliations:
  • Baidu, Beijing, China


According to our database1, Dawei Yin authored at least 28 papers between 2014 and 2024.

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Bibliography

2024
A Robust Semantics-based Watermark for Large Language Model against Paraphrasing.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG).
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Exploring Memorization in Fine-tuned Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.
AI Open, January, 2023

Knowing Before Seeing: Incorporating Post-retrieval Information into Pre-retrieval Query Intention Classification.
Proceedings of the Knowledge Science, Engineering and Management, 2023

2021
Unbiased Learning to Rank in Feeds Recommendation.
Proceedings of the WSDM '21, 2021

Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks.
CoRR, 2020

2018
Optimizing Whole-Page Presentation for Web Search.
ACM Trans. Web, 2018

Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data.
IEEE Trans. Knowl. Data Eng., 2018

2017
Large-Scale Location Prediction for Web Pages.
IEEE Trans. Knowl. Data Eng., 2017

Streaming Recommender Systems.
Proceedings of the 26th International Conference on World Wide Web, 2017

2016
Beyond Ranking: Optimizing Whole-Page Presentation.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Leveraging User Interaction Signals for Web Image Search.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Learning Query and Document Relevance from a Web-scale Click Graph.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Ranking Relevance in Yahoo Search.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Positive-Unlabeled Learning in Streaming Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Timeline Summarization from Social Media with Life Cycle Models.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning to Rewrite Queries.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Recommendation with Social Dimensions.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Learning to rank related entities in Web search.
Neurocomputing, 2015

Rethink Targeting: Detect 'Smart Cheating' in Online Advertising through Causal Inference.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

What Size Should A Mobile Ad Be?
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

The 2nd workshop on Vertical Search Relevance at WSDM 2015.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Consistent Collective Matrix Completion under Joint Low Rank Structure.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Causal Inference via Sparse Additive Models with Application to Online Advertising.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
N$^3$LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data.
CoRR, 2014


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