Mingyang Zhang

45 papers A* 12A 5B 1Journal 18Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering. WWW Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Zhuowan Li, Spurthi Amba Hombaiah, Weize Kong, Tao Chen, Hamed Zamani, Michael Bendersky
2025	J	`jnl`	Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering. CoRR Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Zhuowan Li, Spurthi Amba Hombaiah, Weize Kong, Tao Chen, Hamed Zamani, Michael Bendersky
2025	J	`jnl`	Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation. CoRR Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Tao Chen, Zhuowan Li, Michael Bendersky, Hamed Zamani
2024	—	`conf`	Bridging the Preference Gap between Retrievers and LLMs. ACL (1) Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
2024	J	`jnl`	Bridging the Preference Gap between Retrievers and LLMs. CoRR Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
2024	A*	`conf`	Learning to Rewrite Prompts for Personalized Text Generation. WWW Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Michael Bendersky
2024	—	`conf`	PRewrite: Prompt Rewriting with Reinforcement Learning. ACL (Short Papers) Weize Kong, Spurthi Amba Hombaiah, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
2024	J	`jnl`	PRewrite: Prompt Rewriting with Reinforcement Learning. CoRR Weize Kong, Spurthi Amba Hombaiah, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
2024	—	`conf`	Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach. EMNLP (Industry Track) Zhuowan Li, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
2024	J	`jnl`	Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach. CoRR Zhuowan Li, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
2024	A*	`conf`	The Second Workshop on Large Language Models for Individuals, Groups, and Society. SIGIR Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang, Xingjian Zhang
2024	J	`jnl`	Unlocking the 'Why' of Buying: Introducing a New Dataset and Benchmark for Purchase Reason and Post-Purchase Experience. CoRR Tao Chen, Siqi Zuo, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
2024	A	`conf`	WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. WSDM Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang
2023	J	`jnl`	Automated Evaluation of Personalized Text Generation using Large Language Models. CoRR Yaqing Wang, Jiepu Jiang, Mingyang Zhang, Cheng Li, Yi Liang, Qiaozhu Mei, Michael Bendersky
2023	J	`jnl`	Automatic Prompt Rewriting for Personalized Text Generation. CoRR Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Michael Bendersky
2023	—	`conf`	Creator Context for Tweet Recommendation. EMNLP (Industry Track) Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork, Matt Colen, Sergey Levi, Vladimir Ofitserov, Tanvir Amin
2023	J	`jnl`	Creator Context for Tweet Recommendation. CoRR Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork, Matt Colen, Sergey Levi, Vladimir Ofitserov, Tanvir Amin
2023	A*	`conf`	End-to-End Query Term Weighting. KDD 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
2023	—	`conf`	Job Type Extraction for Service Businesses. WWW (Companion Volume) Cheng Li, Yaping Qi, Hayk Zakaryan, Mingyang Zhang, Michael Bendersky, Yonghua Wu, Marc Najork
2023	A	`conf`	Learning Sparse Lexical Representations Over Specified Vocabularies for Retrieval. CIKM Jeffrey M. Dudek, Weize Kong, Cheng Li, Mingyang Zhang, Michael Bendersky
2023	A*	`conf`	SparseEmbed: Learning Sparse Lexical Representations with Contextual Embeddings for Retrieval. SIGIR Weize Kong, Jeffrey M. Dudek, Cheng Li, Mingyang Zhang, Michael Bendersky
2023	J	`jnl`	Teach LLMs to Personalize - An Approach inspired by Writing Education. CoRR Cheng Li, Mingyang Zhang, Qiaozhu Mei, Yaqing Wang, Spurthi Amba Hombaiah, Yi Liang, Michael Bendersky
2022	A*	`conf`	Multi-Aspect Dense Retrieval. KDD Weize Kong, Swaraj Khadanga, Cheng Li, Shaleen Kumar Gupta, Mingyang Zhang, Wensong Xu, Michael Bendersky
2022	—	`conf`	Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models. ECIR (1) Tao Chen, Mingyang Zhang, Jing Lu, Michael Bendersky, Marc Najork
2022	J	`jnl`	Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models. CoRR Tao Chen, Mingyang Zhang, Jing Lu, Michael Bendersky, Marc Najork
2021	A*	`conf`	Dynamic Language Models for Continuously Evolving Content. KDD Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork
2021	J	`jnl`	Dynamic Language Models for Continuously Evolving Content. CoRR Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork
2021	J	`jnl`	LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding. CoRR Te-Lin Wu, Cheng Li, Mingyang Zhang, Tao Chen, Spurthi Amba Hombaiah, Michael Bendersky
2021	A	`conf`	Natural Language Understanding with Privacy-Preserving BERT. CIKM Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork
2021	J	`jnl`	Privacy-Adaptive BERT for Natural Language Understanding. CoRR Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork
2020	J	`jnl`	Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching. CoRR Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork
2020	A	`conf`	Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching. CIKM Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork
2020	J	`jnl`	Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach. CoRR Saar Kuzi, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork
2019	A*	`conf`	Multi-view Embedding-based Synonyms for Email Search. SIGIR Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler, Marc Najork
2019	A*	`conf`	Semantic Text Matching for Long-Form Documents. WWW Jyun-Yu Jiang, Mingyang Zhang, Cheng Li, Michael Bendersky, Nadav Golbandi, Marc Najork
2018	A*	`conf`	Semantic Location in Email Query Suggestion. SIGIR John Foley, Mingyang Zhang, Michael Bendersky, Marc Najork
2017	A*	`conf`	Situational Context for Ranking in Personal Search. WWW Hamed Zamani, Michael Bendersky, Xuanhui Wang, Mingyang Zhang
2015	J	`jnl`	A Review of Group Mobility Models for Mobile Ad Hoc Networks. Wirel. Pers. Commun. Cherry Ye Aung, Boon-Chong Seet, Mingyang Zhang, Ling Fu Xie, Peter Han Joo Chong
2013	A	`conf`	Mining a search engine's corpus without a query pool. CIKM Mingyang Zhang, Nan Zhang, Gautam Das
2012	J	`jnl`	A Performance Comparison of Flat and Cluster Based Routings in Mobile Ad Hoc Networks. Int. J. Wirel. Inf. Networks Jane Yang Yu, Ling Fu Xie, Mingyang Zhang, Peter H. J. Chong
2012	—	`conf`	Aggregate suppression for enterprise search engines. SIGMOD Conference Mingyang Zhang, Nan Zhang, Gautam Das
2011	—	`conf`	Mining a search engine's corpus: efficient yet unbiased sampling and aggregate estimation. SIGMOD Conference Mingyang Zhang, Nan Zhang, Gautam Das
2010	A*	`conf`	Versatile publishing for privacy preservation. KDD Xin Jin, Mingyang Zhang, Nan Zhang, Gautam Das
2009	B	`conf`	Performance comparison of flat and cluster-based hierarchical ad hoc routing with entity and group mobility. WCNC Mingyang Zhang, Peter Han Joo Chong
2008	—	`conf`	Performance of Efficient CBRP in Mobile Ad Hoc Networks (MANETS). VTC Fall Jane Yang Yu, Peter Han Joo Chong, Mingyang Zhang