Cheng Li

Orcid: 0000-0003-0678-1357

Affiliations:

Google, Mountain View, CA, USA
University of Michigan, Ann Arbor, MI, USA (former)

According to our database¹, Cheng Li authored at least 33 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Unlocking the 'Why' of Buying: Introducing a New Dataset and Benchmark for Purchase Reason and Post-Purchase Experience.

[BibT_eX]

[DOI]

CoRR, 2024

Bridging the Preference Gap between Retrievers and LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Automated Evaluation of Personalized Text Generation using Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Automatic Prompt Rewriting for Personalized Text Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Teach LLMs to Personalize - An Approach inspired by Writing Education.

[BibT_eX]

[DOI]

Spurthi Amba Hombaiah

Yi Liang

Michael Bendersky

CoRR, 2023

Job Type Extraction for Service Businesses.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

SparseEmbed: Learning Sparse Lexical Representations with Contextual Embeddings for Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

End-to-End Query Term Weighting.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Sparse Lexical Representations Over Specified Vocabularies for Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Multi-Aspect Dense Retrieval.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding.

[BibT_eX]

[DOI]

Spurthi Amba Hombaiah

Michael Bendersky

CoRR, 2021

2020

Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach.

[BibT_eX]

[DOI]

CoRR, 2020

Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching.

[BibT_eX]

[DOI]

CoRR, 2020

Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Semantic Text Matching for Long-Form Documents.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Addressing Trust Bias for Unbiased Learning-to-Rank.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Estimating Position Bias without Intrusive Interventions.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Multi-view Embedding-based Synonyms for Email Search.

[BibT_eX]

[DOI]

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank.

[BibT_eX]

[DOI]

Rama Kumar Pasumarthi

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Offline Comparison of Ranking Functions using Randomized Data.

[BibT_eX]

[DOI]

CoRR, 2018

Find the Conversation Killers: A Predictive Study of Thread-ending Posts.

[BibT_eX]

[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Identify Shifts of Word Semantics through Bayesian Surprise.

[BibT_eX]

[DOI]

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Joint Modeling of Text and Networks for Cascade Prediction.

[BibT_eX]

[DOI]

Cheng Li

Xiaoxiao Guo

Qiaozhu Mei

Proceedings of the Twelfth International Conference on Web and Social Media, 2018

The LambdaLoss Framework for Ranking Metric Optimization.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

DeepCas: An End-to-end Predictor of Information Cascades.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web, 2017

Deep Memory Networks for Attitude Identification.

[BibT_eX]

[DOI]

Cheng Li

Xiaoxiao Guo

Qiaozhu Mei

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Related Event Discovery.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

2016

DeepGraph: Graph Structure Predicts Network Growth.

[BibT_eX]

[DOI]

Cheng Li

Xiaoxiao Guo

Qiaozhu Mei

CoRR, 2016

Multiple Queries as Bandit Arms.

[BibT_eX]

[DOI]

Cheng Li

Paul Resnick

Qiaozhu Mei

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Click-through Prediction for Advertising in Twitter Timeline.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

ReQ-ReC: high recall retrieval with query pooling and interactive classification.

[BibT_eX]

[DOI]

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

2013

A User-in-the-Loop Process for Investigational Search: Foreseer in TREC 2013 Microblog Track.

[BibT_eX]

[DOI]

Cheng Li

Yue Wang

Qiaozhu Mei

Proceedings of The Twenty-Second Text REtrieval Conference, 2013

Cheng Li

Timeline

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