Qi Qian
Qi Qian
Alibaba Group
Verified email at alibaba-inc.com - Homepage
Title
Cited by
Cited by
Year
Fine-grained visual categorization via multi-stage metric learning
Q Qian, R Jin, S Zhu, Y Lin
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
1612015
Softtriple loss: Deep metric learning without triplet sampling
Q Qian, L Shang, B Sun, J Hu, H Li, R Jin
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
842019
Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD)
Q Qian, R Jin, J Yi, L Zhang, S Zhu
Machine Learning 99 (3), 353-372, 2015
732015
Building decision trees for the multi-class imbalance problem
TR Hoens, Q Qian, NV Chawla, ZH Zhou
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 122-134, 2012
732012
Semi-supervised clustering by input pattern assisted pairwise similarity matrix completion
J Yi, L Zhang, R Jin, Q Qian, A Jain
International conference on machine learning, 1400-1408, 2013
502013
Finding multiple stable clusterings
J Hu, Q Qian, J Pei, R Jin, S Zhu
Knowledge and Information Systems 51 (3), 991-1021, 2017
272017
Distance metric learning using dropout: a structured regularization approach
Q Qian, J Hu, R Jin, J Pei, S Zhu
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
272014
Dr loss: Improving object detection by distributional ranking
Q Qian, L Chen, H Li, R Jin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
252020
Robust optimization over multiple domains
Q Qian, S Zhu, J Tang, R Jin, B Sun, H Li
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4739-4746, 2019
242019
Learning to rank proposals for object detection
Z Tan, X Nie, Q Qian, N Li, H Li
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
172019
Large-scale distance metric learning with uncertainty
Q Qian, J Tang, H Li, S Zhu, R Jin
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
152018
Towards understanding label smoothing
Y Xu, Y Xu, Q Qian, H Li, R Jin
arXiv preprint arXiv:2006.11653, 2020
52020
The Opensesame NIST 2016 Speaker Recognition Evaluation System.
G Liu, Q Qian, Z Wang, Q Zhao, T Wang, H Li, J Xue, S Zhu, R Jin, T Zhao
INTERSPEECH, 2854-2858, 2017
52017
The I4U submission to the 2016 NIST speaker recognition evaluation
KA Lee, H Sun, S Aleksandr, W Guangsen
Proceedings of the NIST SRE 2016 Workshop, San Diego, CA, 2016
52016
Robust gaussian process regression for real-time high precision GPS signal enhancement
M Lin, X Song, Q Qian, H Li, L Sun, S Zhu, R Jin
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
42019
Efficient distance metric learning for fine-grained visual categorization
S Zhu, Y Lin, Q Qian
US Patent 9,471,847, 2016
32016
Neural Architecture Design for GPU-Efficient Networks
M Lin, H Chen, X Sun, Q Qian, H Li, R Jin
arXiv preprint arXiv:2006.14090, 2020
22020
Which factorization machine modeling is better: A theoretical answer with optimal guarantee
M Lin, S Qiu, J Ye, X Song, Q Qian, L Sun, S Zhu, R Jin
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4312-4319, 2019
22019
Towards making high dimensional distance metric learning practical
Q Qian, R Jin, L Zhang, S Zhu
arXiv preprint arXiv:1509.04355, 2015
22015
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework
Q Zhou, C Yu, Z Wang, Q Qian, H Li
arXiv preprint arXiv:2103.11402, 2021
12021
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