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ORCIDCheng Li 0012
Person information
- affiliation: Google, Mountain View, CA, USA
- affiliation (former): University of Michigan, Ann Arbor, MI, USA
Other persons with the same name
- Cheng Li — disambiguation page
- Cheng Li 0001
![[0000-0001-7064-6120]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-7064-6120")
— University of Science and Technology of China (USTC), China (and 1 more) - Cheng Li 0002 — Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Clear Water Bay, Hong Kong
- Cheng Li 0003 — Deakin University, Center for Pattern Recognition and Data Analytics (PRaDA), Geelong, Australia
- Cheng Li 0004 — Shanghai Jiao Tong University, Department of Electronic Engineering, Institute of Wireless Communications Technology, China
- Cheng Li 0005 — Memorial University of Newfoundland, Department of Electrical and Computer Engineering, St. John's, NL, Canada
- Cheng Li 0006 — College of William and Mary, Department of Computer Science, Williamsburg, VA, USA
- Cheng Li 0007 — Beihang University, School of Instrumentation Science and Opto-electronics Engineering, Beijing, China
- Cheng Li 0008 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Paul C. Lauterbur Research Center for Biomedical Imaging, China
- Cheng Li 0009 — SenseTime Research, Beijing, China (and 1 more)
- Cheng Li 0010 — University of California, Davis, CA, USA (and 1 more)
- Cheng Li 0011 — University of Rochester, Department of Electrical and Computer Engineering, NY, USA (and 1 more)
- Cheng Li 0013 — University of Kent, UK
- Cheng Li 0014 — University of Illinois Urbana-Champaign, IL, USA
- Cheng Li 0015 — Harbin Institute of Technology, Department of Control Science and Engineering, China (and 1 more)
- Cheng Li 0016 — Peking University, Center For Biolnformatics, Beijing, China (and 3 more)
- Cheng Li 0017 — Xidian University, Institute of Intelligent Control and Image Engineering, Xi'an, China
- Cheng Li 0018 — Jinan University, Guangzhou, China
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2020 – today
- 2025
[i17]Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Tao Chen, Zhuowan Li, Michael Bendersky, Hamed Zamani:
Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation. CoRR abs/2501.04167 (2025)- 2024
- [c27]Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky:
Bridging the Preference Gap between Retrievers and LLMs. ACL (1) 2024: 10438-10451 - [c26]Zhuowan Li, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky:
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach. EMNLP (Industry Track) 2024: 881-893 - [c25]Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang, Xingjian Zhang:
The Second Workshop on Large Language Models for Individuals, Groups, and Society. SIGIR 2024: 3062-3064 - [c24]Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang:
WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. WSDM 2024: 1206-1207 - [c23]Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Michael Bendersky:
Learning to Rewrite Prompts for Personalized Text Generation. WWW 2024: 3367-3378 - [i16]Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky:
Bridging the Preference Gap between Retrievers and LLMs. CoRR abs/2401.06954 (2024) - [i15]Tao Chen, Siqi Zuo, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky:
Unlocking the 'Why' of Buying: Introducing a New Dataset and Benchmark for Purchase Reason and Post-Purchase Experience. CoRR abs/2402.13417 (2024) - [i14]Zhuowan Li, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky:
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach. CoRR abs/2407.16833 (2024) - 2023
- [c22]Jeffrey M. Dudek, Weize Kong, Cheng Li, Mingyang Zhang, Michael Bendersky:
Learning Sparse Lexical Representations Over Specified Vocabularies for Retrieval. CIKM 2023: 3865-3869 - [c21]Karan Samel, Cheng Li, Weize Kong, Tao Chen, Mingyang Zhang, Shaleen Kumar Gupta, Swaraj Khadanga, Wensong Xu, Xingyu Wang, Kashyap Kolipaka, Michael Bendersky, Marc Najork:
End-to-End Query Term Weighting. KDD 2023: 4778-4786 - [c20]Weize Kong, Jeffrey M. Dudek, Cheng Li, Mingyang Zhang, Michael Bendersky:
SparseEmbed: Learning Sparse Lexical Representations with Contextual Embeddings for Retrieval. SIGIR 2023: 2399-2403 - [c19]Cheng Li, Yaping Qi, Hayk Zakaryan, Mingyang Zhang, Michael Bendersky, Yonghua Wu, Marc Najork:
Job Type Extraction for Service Businesses. WWW (Companion Volume) 2023: 401-405 - [i13]Cheng Li, Mingyang Zhang, Qiaozhu Mei, Yaqing Wang, Spurthi Amba Hombaiah, Yi Liang, Michael Bendersky:
Teach LLMs to Personalize - An Approach inspired by Writing Education. CoRR abs/2308.07968 (2023) - [i12]Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Michael Bendersky:
Automatic Prompt Rewriting for Personalized Text Generation. CoRR abs/2310.00152 (2023) - [i11]Yaqing Wang, Jiepu Jiang, Mingyang Zhang, Cheng Li, Yi Liang, Qiaozhu Mei, Michael Bendersky:
Automated Evaluation of Personalized Text Generation using Large Language Models. CoRR abs/2310.11593 (2023) - 2022
- [c18]Weize Kong, Swaraj Khadanga, Cheng Li, Shaleen Kumar Gupta, Mingyang Zhang, Wensong Xu, Michael Bendersky:
Multi-Aspect Dense Retrieval. KDD 2022: 3178-3186 - 2021
- [i10]Te-Lin Wu, Cheng Li, Mingyang Zhang, Tao Chen, Spurthi Amba Hombaiah, Michael Bendersky:
LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding. CoRR abs/2104.08405 (2021) - 2020
- [c17]Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork:
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching. CIKM 2020: 1725-1734 - [i9]Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork:
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching. CoRR abs/2004.12297 (2020) - [i8]Saar Kuzi, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork:
Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach. CoRR abs/2010.01195 (2020)
2010 – 2019
- 2019
- [c16]Rama Kumar Pasumarthi, Sebastian Bruch, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf:
TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. KDD 2019: 2970-2978 - [c15]Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler, Marc Najork:
Multi-view Embedding-based Synonyms for Email Search. SIGIR 2019: 575-584 - [c14]Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims:
Estimating Position Bias without Intrusive Interventions. WSDM 2019: 474-482 - [c13]Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork:
Addressing Trust Bias for Unbiased Learning-to-Rank. WWW 2019: 4-14 - [c12]Jyun-Yu Jiang, Mingyang Zhang, Cheng Li, Michael Bendersky, Nadav Golbandi, Marc Najork:
Semantic Text Matching for Long-Form Documents. WWW 2019: 795-806 - 2018
- [c11]Xuanhui Wang, Cheng Li, Nadav Golbandi, Michael Bendersky, Marc Najork:
The LambdaLoss Framework for Ranking Metric Optimization. CIKM 2018: 1313-1322 - [c10]Cheng Li, Xiaoxiao Guo, Qiaozhu Mei:
Joint Modeling of Text and Networks for Cascade Prediction. ICWSM 2018: 640-643 - [c9]Zhuofeng Wu, Cheng Li, Zhe Zhao, Fei Wu, Qiaozhu Mei:
Identify Shifts of Word Semantics through Bayesian Surprise. SIGIR 2018: 825-834 - [c8]Yunhao Jiao, Cheng Li, Fei Wu, Qiaozhu Mei:
Find the Conversation Killers: A Predictive Study of Thread-ending Posts. WWW 2018: 1145-1154 - [i7]Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork:
Offline Comparison of Ranking Functions using Randomized Data. CoRR abs/1810.05252 (2018) - [i6]Rama Kumar Pasumarthi, Xuanhui Wang, Cheng Li, Sebastian Bruch, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf:
TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. CoRR abs/1812.00073 (2018) - [i5]Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims:
Estimating Position Bias without Intrusive Interventions. CoRR abs/1812.05161 (2018) - 2017
- [c7]Cheng Li, Michael Bendersky, Vijay Garg, Sujith Ravi:
Related Event Discovery. WSDM 2017: 355-364 - [c6]Cheng Li, Xiaoxiao Guo, Qiaozhu Mei:
Deep Memory Networks for Attitude Identification. WSDM 2017: 671-680 - [c5]Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei:
DeepCas: An End-to-end Predictor of Information Cascades. WWW 2017: 577-586 - [i4]Cheng Li, Xiaoxiao Guo, Qiaozhu Mei:
Deep Memory Networks for Attitude Identification. CoRR abs/1701.04189 (2017) - [i3]Yunhao Jiao, Cheng Li, Fei Wu, Qiaozhu Mei:
Find the Conversation Killers: a Predictive Study of Thread-ending Posts. CoRR abs/1712.08636 (2017) - 2016
- [c4]Cheng Li, Paul Resnick, Qiaozhu Mei:
Multiple Queries as Bandit Arms. CIKM 2016: 1089-1098 - [i2]Cheng Li, Xiaoxiao Guo, Qiaozhu Mei:
DeepGraph: Graph Structure Predicts Network Growth. CoRR abs/1610.06251 (2016) - [i1]Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei:
DeepCas: an End-to-end Predictor of Information Cascades. CoRR abs/1611.05373 (2016) - 2015
- [c3]Cheng Li, Yue Lu, Qiaozhu Mei, Dong Wang, Sandeep Pandey:
Click-through Prediction for Advertising in Twitter Timeline. KDD 2015: 1959-1968 - 2014
- [c2]Cheng Li, Yue Wang, Paul Resnick, Qiaozhu Mei:
ReQ-ReC: high recall retrieval with query pooling and interactive classification. SIGIR 2014: 163-172 - 2013
- [c1]Cheng Li, Yue Wang, Qiaozhu Mei:
A User-in-the-Loop Process for Investigational Search: Foreseer in TREC 2013 Microblog Track. TREC 2013
Coauthor Index
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