Cheng Li
I got my Ph.D. in information science from the University of Michigan, Ann Arbor. My advisor is Qiaozhu Mei. I received my Bachelor's degree from the College of Computer Science and Technology at Zhejiang University, China. I am particularly interested in data mining, information retrieval, machine learning (especially deep learning), and natural language processing, with application to the retrieval, management, and analysis of data from Web, scientific literature, social networks, and various online communities. My publications can be found in Google Scholar
Authored Publications
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Learning to Rewrite Prompts for Personalized Text Generation
Mingyang Zhang
Qiaozhu Mei
Weize Kong
Michael Bendersky
Proceedings of the ACM Web Conference 2024
WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society
Michael Bendersky
Qiaozhu Mei
Vanessa Murdock
Jie Tang
Hongning Wang
Hamed Zamani
Mingyang Zhang
(2024) (to appear)
Bridging the Preference Gap between Retrievers and LLMs
Zixuan Ke
Weize Kong
Mingyang Zhang
Qiaozhu Mei
Michael Bendersky
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (2024) (to appear)
Learning Sparse Lexical Representations Over Expanded Vocabularies for Retrieval
Weize Kong
Mingyang Zhang
Michael Bendersky
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM '23) (2023)
SparseEmbed: Learning Sparse Lexical Representations with Contextual Embeddings for Retrieval
Weize Kong
Mingyang Zhang
Mike Bendersky
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '23), ACM (2023) (to appear)
Job Type Extraction for Service Businesses
Yaping Qi
Hayk Zakaryan
Mingyang Zhang
Mike Bendersky
Yonghua Wu
Companion Proceedings of the ACM Web Conference 2023
End-to-End Query Term Weighting
Karan Samel
Weize Kong
Tao Chen
Mingyang Zhang
Swaraj Khadanga
Wensong Xu
Xingyu Wang
Kashyap Kolipaka
Mike Bendersky
Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '23) (2023)
Multi-Aspect Dense Retrieval
Weize Kong
Swaraj Khadanga
Mingyang Zhang
Wensong Xu
Mike Bendersky
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM (2022)
LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding
Mike Bendersky
Mingyang Zhang
Tao Chen
Te-Lin Wu
VIGIL-NAACL21 (2021)
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching
Mingyang Zhang
Mike Bendersky
Proceedings of the 29th ACM International Conference on Information and Knowledge Management (2020)
