Zhen Qin

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Medforfattere

Donald MetzlerGoogle DeepMindVerificeret mail på google.com
Yi TayResearch Scientist, Google DeepMindVerificeret mail på google.com
Christian R. SheltonProfessor, University of California, RiversideVerificeret mail på cs.ucr.edu
Mostafa DehghaniResearch Scientist, Google DeepMindVerificeret mail på google.com
Zhe ZhaoDepartment of Computer Science, University of California, DavisVerificeret mail på ucdavis.edu
Sebastian RuderResearch Scientist, MetaVerificeret mail på meta.com
William W. CohenCMU and Google DeepMindVerificeret mail på google.com
Hyung Won ChungOpenAIVerificeret mail på google.com
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstVerificeret mail på cs.umass.edu
Pan LiGeorgia Institute of Technology, Purdue UniversityVerificeret mail på gatech.edu
Bilal PiotGoogle DeepmindVerificeret mail på google.com
Jimmy LinUniversity of WaterlooVerificeret mail på uwaterloo.ca
Hongning WangAssociate Professor, Department of Computer Science and Technology, Tsinghua UniversityVerificeret mail på virginia.edu
Alexander M. RushAssociate Professor, Cornell UniversityVerificeret mail på cornell.edu
Chao ZhangAssistant Professor at College of Computing, Georgia TechVerificeret mail på gatech.edu
Harrie OosterhuisRadboud UniversityVerificeret mail på ru.nl
Tong ZhangUIUCVerificeret mail på tongzhang-ml.org
Chi JinAssistant Professor, Princeton UniversityVerificeret mail på princeton.edu
Hamed ZamaniAssociate Professor of Computer Science, University of Massachusetts AmherstVerificeret mail på cs.umass.edu
Han ZhaoDepartment of Computer Science, University of Illinois Urbana-ChampaignVerificeret mail på illinois.edu

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Zhen Qin

Google DeepMind

Verificeret mail på google.com - Startside

Machine Learning Information Retrieval Computer Vision


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Transformer Memory as a Differentiable Search Index Y Tay, VQ Tran, M Dehghani, J Ni, D Bahri, H Mehta, Z Qin, K Hui, Z Zhao, ... NeurIPS 2022, 2022	256	2022
Large language models are effective text rankers with pairwise ranking prompting Z Qin, R Jagerman, K Hui, H Zhuang, J Wu, J Shen, T Liu, J Liu, D Metzler, ... NAACL 2024, 2024	196	2024
Improving multi-target tracking via social grouping Z Qin, CR Shelton CVPR 2012, 2012	183	2012
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization Y Tay, VQ Tran, S Ruder, J Gupta, HW Chung, D Bahri, Z Qin, ... ICLR 2022, 2022	152	2022
Are Neural Rankers Still Outperformed By Gradient Boosted Decision Tree? Z Qin, L Yan, H Zhuang, Y Tay, RK Pasumarthi, X Wang, M Bendersky, ... ICLR 2021, 2021	126	2021
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses H Zhuang, Z Qin, R Jagerman, K Hui, J Ma, J Lu, J Ni, X Wang, ... SIGIR 2023, 2023	119	2023
Query Expansion by Prompting Large Language Models R Jagerman, H Zhuang, Z Qin, X Wang, M Bendersky The First Workshop on Generative Information Retrieval (Gen-IR), 2023	99	2023
Are Pre-trained Convolutions Better than Pre-trained Transformers? Y Tay, M Dehghani, J Gupta, D Bahri, V Aribandi, Z Qin, D Metzler ACL 2021, 2021	91	2021
Multitask Mixture of Sequential Experts for User Activity Streams Z Qin, Y Cheng, Z Zhao, SZ Chen, D Metzler, J Qin KDD 2020, 2020	81	2020
Beyond Yes and No: Improving Zero-Shot Pointwise LLM Rankers via Scoring Fine-Grained Relevance Labels H Zhuang, Z Qin, K Hui, J Wu, L Yan, X Wang, M Bendersky NAACL 2024, 2024	61*	2024
An online learned elementary grouping model for multi-target tracking X Chen, Z Qin, L An, B Bhanu CVPR 2014, 2014	58	2014
Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies Z Qin, SJ Chen, D Metzler, Y Noh, J Qin, X Wang KDD 2020, 2020	52	2020
Hawkes Process Inference with Missing Data CR Shelton, Z Qin, C Shetty AAAI Conference on Artificial Intelligence (AAAI), 2018	45	2018
Diversification-Aware Learning to Rank using Distributed Representation L Yan, Z Qin, RK Pasumarthi, X Wang, M Bendersky Proceedings of the Web Conference (WWW), 2021	44	2021
Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search P Li, Z Qin, X Wang, D Metzler KDD 2019, 2019	41	2019
Cross-Positional Attention for Debiasing Clicks H Zhuang, Z Qin, X Wang, M Bendersky, X Qian, P Hu, C Chen Proceedings of the Web Conference (WWW), 2021	40	2021
OmniNet: Omnidirectional Representations from Transformers Y Tay, M Dehghani, V Aribandi, J Gupta, P Pham, Z Qin, D Bahri, DC Juan, ... ICML 2021, 2021	37	2021
Social Grouping for Multi-target Tracking and Head Pose Estimation in Video Z Qin, C Shelton IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2015	35	2015
LiPO: Listwise Preference Optimization through Learning-to-Rank T Liu, Z Qin, J Wu, J Shen, M Khalman, R Joshi, Y Zhao, M Saleh, ... NAACL 2025, 2025	32	2025
Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction N Wang, Z Qin, X Wang, H Wang WSDM 2021, 2021	28	2021

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