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Zhen Qin
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Cited by
Year
Improving multi-target tracking via social grouping
Z Qin, CR Shelton
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012
1712012
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
552014
Are Neural Rankers Still Outperformed By Gradient Boosted Decision Tree?
Z Qin, L Yan, H Zhuang, Y Tay, RK Pasumarthi, X Wang, M Bendersky, ...
International Conference on Learning Representations (ICLR), 2021
462021
Are Pre-trained Convolutions Better than Pre-trained Transformers?
Y Tay, M Dehghani, J Gupta, D Bahri, V Aribandi, Z Qin, D Metzler
Meeting of the Association for Computational Linguistics (ACL), 2021
402021
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
322015
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization
Y Tay, VQ Tran, S Ruder, J Gupta, HW Chung, D Bahri, Z Qin, ...
International Conference on Learning Representations (ICLR), 2022
312022
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, ...
Advances in Neural Information Processing Systems (NeurIPS), 2022
212022
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
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020
212020
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
212019
Hawkes Process Inference with Missing Data
CR Shelton, Z Qin, C Shetty
AAAI Conference on Artificial Intelligence (AAAI), 2018
212018
Multitask Mixture of Sequential Experts for User Activity Streams
Z Qin, Y Cheng, Z Zhao, SZ Chen, D Metzler, J Qin
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020
202020
Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models
Z Qin, CR Shelton
International Conference on Uncertainty in Artificial Intelligence (UAI), 2015
172015
Event Detection in Continuous Video: An Inference in Point Process Approach
Z Qin, CR Shelton
IEEE Transactions on Image Processing 26 (12), 5680-5691, 2017
162017
OmniNet: Omnidirectional Representations from Transformers
Y Tay, M Dehghani, V Aribandi, J Gupta, P Pham, Z Qin, D Bahri, DC Juan, ...
International Conference on Machine Learning (ICML), 2021
152021
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
152021
Multiperson Tracking by Online Learned Grouping Model With Nonlinear Motion Context
X Chen, Z Qin, L An, B Bhanu
IEEE Transactions on Circuits and Systems for Video Technology 26 (12), 2226 …, 2016
152016
Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction
N Wang, Z Qin, X Wang, H Wang
ACM international conference on Web search and data mining (WSDM), 2021
132021
Improving Recommendation Quality at Google Drive
SJ Chen, Z Qin, ZT Wilson, BL Calaci, MR Rose, RL Evans, SR Abraham, ...
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020
132020
Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering
J Shen, M Karimzadehgan, M Bendersky, Z Qin, D Metzler
ACM International Conference on Information and Knowledge Management (CIKM), 2018
132018
Multi-level Common Space Learning for Person Re-identification
L An, Z Qin, X Chen, S Yang
IEEE Transactions on Circuits and Systems for Video Technology, 2017
132017
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Articles 1–20