Mingyang Zhang

According to our database, Mingyang Zhang authored at least 33 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Tao Chen, Siqi Zuo, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky

CoRR, 2024

PRewrite: Prompt Rewriting with Reinforcement Learning.

Weize Kong, Spurthi Amba Hombaiah, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky

CoRR, 2024

Bridging the Preference Gap between Retrievers and LLMs.

Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky

CoRR, 2024

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

Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang

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.

Yaqing Wang, Jiepu Jiang, Mingyang Zhang, Cheng Li, Yi Liang, Qiaozhu Mei, Michael Bendersky

CoRR, 2023

Automatic Prompt Rewriting for Personalized Text Generation.

Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Michael Bendersky

CoRR, 2023

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

Cheng Li, Mingyang Zhang, Qiaozhu Mei, Yaqing Wang, Spurthi Amba Hombaiah, Yi Liang, Michael Bendersky

CoRR, 2023

Job Type Extraction for Service Businesses.

Cheng Li, Yaping Qi, Hayk Zakaryan, Mingyang Zhang, Michael Bendersky, Yonghua Wu, Marc Najork

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

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

Weize Kong, Jeffrey M. Dudek, Cheng Li, Mingyang Zhang, Michael Bendersky

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

End-to-End Query Term Weighting.

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

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

Creator Context for Tweet Recommendation.

Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork, Matt Colen, Sergey Levi, Vladimir Ofitserov, Tanvir Amin

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Learning Sparse Lexical Representations Over Specified Vocabularies for Retrieval.

Jeffrey M. Dudek, Weize Kong, Cheng Li, Mingyang Zhang, Michael Bendersky

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

2022

Multi-Aspect Dense Retrieval.

Weize Kong, Swaraj Khadanga, Cheng Li, Shaleen Kumar Gupta, Mingyang Zhang, Wensong Xu, Michael Bendersky

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

Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models.

Tao Chen, Mingyang Zhang, Jing Lu, Michael Bendersky, Marc Najork

Proceedings of the Advances in Information Retrieval, 2022

2021

LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding.

Te-Lin Wu, Cheng Li, Mingyang Zhang, Tao Chen, Spurthi Amba Hombaiah, Michael Bendersky

CoRR, 2021

Privacy-Adaptive BERT for Natural Language Understanding.

Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork

CoRR, 2021

Dynamic Language Models for Continuously Evolving Content.

Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Natural Language Understanding with Privacy-Preserving BERT.

Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

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

Saar Kuzi, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork

CoRR, 2020

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

Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork

CoRR, 2020

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

Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork

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

2019

Semantic Text Matching for Long-Form Documents.

Jyun-Yu Jiang, Mingyang Zhang, Cheng Li, Michael Bendersky, Nadav Golbandi, Marc Najork

Proceedings of the World Wide Web Conference, 2019

Multi-view Embedding-based Synonyms for Email Search.

Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler, Marc Najork

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

2018

Semantic Location in Email Query Suggestion.

John Foley, Mingyang Zhang, Michael Bendersky, Marc Najork

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

2017

Situational Context for Ranking in Personal Search.

Hamed Zamani, Michael Bendersky, Xuanhui Wang, Mingyang Zhang

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

2015

A Review of Group Mobility Models for Mobile Ad Hoc Networks.

Cherry Ye Aung, Boon-Chong Seet, Mingyang Zhang, Ling Fu Xie, Peter Han Joo Chong

Wirel. Pers. Commun., 2015

2013

Mining a search engine's corpus without a query pool.

Mingyang Zhang, Nan Zhang, Gautam Das

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

A Performance Comparison of Flat and Cluster Based Routings in Mobile Ad Hoc Networks.

Jane Yang Yu, Ling Fu Xie, Mingyang Zhang, Peter H. J. Chong

Int. J. Wirel. Inf. Networks, 2012

Aggregate suppression for enterprise search engines.

Mingyang Zhang, Nan Zhang, Gautam Das

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

2011

Mining a search engine's corpus: efficient yet unbiased sampling and aggregate estimation.

Mingyang Zhang, Nan Zhang, Gautam Das

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

2010

Versatile publishing for privacy preservation.

Xin Jin, Mingyang Zhang, Nan Zhang, Gautam Das

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Performance comparison of flat and cluster-based hierarchical ad hoc routing with entity and group mobility.

Mingyang Zhang, Peter Han Joo Chong

Proceedings of the 2009 IEEE Wireless Communications and Networking Conference, 2009

2008

Performance of Efficient CBRP in Mobile Ad Hoc Networks (MANETS).

Jane Yang Yu, Peter Han Joo Chong, Mingyang Zhang

Proceedings of the 68th IEEE Vehicular Technology Conference, 2008