Qiang Li
Qiang Li
Algorithm Engineer, Y-tech, Kwai
Verified email at comp.polyu.edu.hk - Homepage
TitleCited byYear
Adversarial network embedding
Q Dai, Q Li, J Tang, D Wang
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
792018
Local metric learning for exemplar-based object detection
X You, Q Li, D Tao, W Ou, M Gong
IEEE Transactions on Circuits and Systems for Video Technology 24 (8), 1265-1276, 2014
572014
Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach
Z Xu, Z Li, Q Guan, D Zhang, Q Li, J Nan, C Liu, W Bian, J Ye
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
442018
Conditional graphical lasso for multi-label image classification
Q Li, M Qiao, W Bian, D Tao
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
282016
Robust nonnegative patch alignment for dimensionality reduction
X You, W Ou, CLP Chen, Q Li, Z Zhu, Y Tang
IEEE transactions on neural networks and learning systems 26 (11), 2760-2774, 2015
212015
Mutual component analysis for heterogeneous face recognition
Z Li, D Gong, Q Li, D Tao, X Li
ACM Transactions on Intelligent Systems and Technology (TIST) 7 (3), 1-23, 2016
182016
Correlated logistic model with elastic net regularization for multilabel image classification
Q Li, B Xie, J You, W Bian, D Tao
IEEE Transactions on Image Processing 25 (8), 3801-3813, 2016
162016
Adversarial Training Methods for Network Embedding
Q Dai, X Shen, L Zhang, Q Li, D Wang
The World Wide Web Conference, 329-339, 2019
62019
Random mixed field model for mixed-attribute data restoration
Q Li, W Bian, RY Da Xu, J You, D Tao
Thirtieth AAAI Conference on Artificial Intelligence, 2016
42016
End-to-end hand mesh recovery from a monocular RGB image
X Zhang, Q Li, H Mo, W Zhang, W Zheng
Proceedings of the IEEE International Conference on Computer Vision, 2354-2364, 2019
32019
Adapting Stochastic Block Models to Power-Law Degree Distributions
M Qiao, J Yu, W Bian, Q Li, D Tao
IEEE Transactions on Cybernetics, 2018
22018
Improving stochastic block models by incorporating power-law degree characteristic
M Qiao, J Yu, W Bian, Q Li, D Tao
Proceedings of the 26th International Joint Conference on Artificial …, 2017
22017
Ranking Network Embedding via Adversarial Learning
Q Dai, Q Li, L Zhang, D Wang
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 27-39, 2019
12019
StyleRemix: An Interpretable Representation for Neural Image Style Transfer
H Xu, Q Li, W Zhang, W Zheng
arXiv preprint arXiv:1902.10425, 2019
12019
Learning sparse graphical models for data restoration and multi-label classification
Q Li
University of Technology Sydney & The Hong Kong Polytechnic University, 2017
2017
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Articles 1–15