Zhen Qin
Zhen Qin
Google DeepMind
Verified email at - Homepage
Cited by
Cited by
Improving multi-target tracking via social grouping
Z Qin, CR Shelton
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012
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
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
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
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
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
Multitask Mixture of Sequential Experts for User Activity Streams
Z Qin, Y Cheng, Z Zhao, SZ Chen, D Metzler, J Qin
KDD 2020, 2020
An online learned elementary grouping model for multi-target tracking
X Chen, Z Qin, L An, B Bhanu
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on …, 2014
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
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
Hawkes Process Inference with Missing Data
CR Shelton, Z Qin, C Shetty
AAAI Conference on Artificial Intelligence (AAAI), 2018
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
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
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
Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search
P Li, Z Qin, X Wang, D Metzler
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019
OmniNet: Omnidirectional Representations from Transformers
Y Tay, M Dehghani, V Aribandi, J Gupta, P Pham, Z Qin, D Bahri, DC Juan, ...
ICML 2021, 2021
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
Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels
H Zhuang, Z Qin, K Hui, J Wu, L Yan, X Wang, M Berdersky
NAACL 2024, 2024
Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction
N Wang, Z Qin, X Wang, H Wang
WSDM 2021, 2021
Improving Recommendation Quality at Google Drive
SJ Chen, Z Qin, ZT Wilson, BL Calaci, MR Rose, RL Evans, SR Abraham, ...
KDD 2020, 2020
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