Zhen Qin

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	Vse	Od leta 2020
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indeks h	23	22
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Soavtorji

Donald MetzlerGoogle DeepMindPreverjeni e-poštni naslov na google.com
Yi TayResearch Scientist, Google DeepMindPreverjeni e-poštni naslov na google.com
Christian R. SheltonProfessor, University of California, RiversidePreverjeni e-poštni naslov na cs.ucr.edu
Mostafa DehghaniResearch Scientist, Google DeepMindPreverjeni e-poštni naslov na google.com
Zhe ZhaoDepartment of Computer Science, University of California, DavisPreverjeni e-poštni naslov na ucdavis.edu
Sebastian RuderResearch Scientist, MetaPreverjeni e-poštni naslov na meta.com
William W. CohenCMU and Google DeepMindPreverjeni e-poštni naslov na google.com
Hyung Won ChungOpenAIPreverjeni e-poštni naslov na google.com
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstPreverjeni e-poštni naslov na cs.umass.edu
Bilal PiotGoogle DeepmindPreverjeni e-poštni naslov na google.com
Pan LiGeorgia Institute of Technology, Purdue UniversityPreverjeni e-poštni naslov na gatech.edu
Jimmy LinUniversity of WaterlooPreverjeni e-poštni naslov na uwaterloo.ca
Hongning WangAssociate Professor, Department of Computer Science and Technology, Tsinghua UniversityPreverjeni e-poštni naslov na virginia.edu
Chao ZhangAssistant Professor at College of Computing, Georgia TechPreverjeni e-poštni naslov na gatech.edu
Alexander M. RushAssociate Professor, Cornell UniversityPreverjeni e-poštni naslov na cornell.edu
Harrie OosterhuisRadboud UniversityPreverjeni e-poštni naslov na ru.nl
Tong ZhangUIUCPreverjeni e-poštni naslov na tongzhang-ml.org
Chi JinAssistant Professor, Princeton UniversityPreverjeni e-poštni naslov na princeton.edu
Carl J. YangAssistant Professor of Computer Science at Emory UniversityPreverjeni e-poštni naslov na emory.edu
Hamed ZamaniAssociate Professor of Computer Science, University of Massachusetts AmherstPreverjeni e-poštni naslov na cs.umass.edu

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Zhen Qin

Google DeepMind

Preverjeni e-poštni naslov na google.com - Domača stran

Machine Learning Information Retrieval Computer Vision


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	269	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	208	2024
Improving multi-target tracking via social grouping Z Qin, CR Shelton CVPR 2012, 2012	184	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	151	2022
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	127	2023
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
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	105	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	89	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	82	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	64*	2024
An online learned elementary grouping model for multi-target tracking X Chen, Z Qin, L An, B Bhanu CVPR 2014, 2014	55	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
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
Hawkes Process Inference with Missing Data CR Shelton, Z Qin, C Shetty AAAI Conference on Artificial Intelligence (AAAI), 2018	44	2018
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	39	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	38	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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