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Qingtao Tang
Qingtao Tang
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Title
Cited by
Cited by
Year
A novel consistent random forest framework: Bernoulli random forests
Y Wang, ST Xia, Q Tang, J Wu, X Zhu
IEEE transactions on neural networks and learning systems 29 (8), 3510-3523, 2017
1032017
Learning from noisy web data with category-level supervision
L Niu, Q Tang, A Veeraraghavan, A Sabharwal
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
342018
Deep position-wise interaction network for ctr prediction
J Huang, K Hu, Q Tang, M Chen, Y Qi, J Cheng, J Lei
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
242021
Student-t process regression with student-t likelihood
Q Tang, L Niu, Y Wang, T Dai, W An, J Cai, ST Xia
International Joint Conference on Artificial Intelligence 2017, 2822-2828, 2017
232017
tk-means: A robust and stable k-means variant
Y Li, Y Zhang, Q Tang, W Huang, Y Jiang, ST Xia
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
182021
Bernoulli random forests: Closing the gap between theoretical consistency and empirical soundness
W Yisen, T Qingtao, ST Xia, J Wu, X Zhu
IJCAI International Joint Conference on Artificial Intelligence, 2016
152016
Student-t Process Regression with Dependent Student-t Noise
Q Tang, Y Wang, ST Xia
ECAI 2016: 22nd European Conference on Artificial Intelligence, 29 August-2 …, 2016
132016
Cyclic annealing training convolutional neural networks for image classification with noisy labels
J Li, T Dai, Q Tang, Y Xing, ST Xia
2018 25th IEEE International Conference on Image Processing (ICIP), 21-25, 2018
112018
A generic denoising framework via guided principal component analysis
T Dai, Z Xu, H Liang, K Gu, Q Tang, Y Wang, W Lu, ST Xia
Journal of Visual Communication and Image Representation 48, 340-352, 2017
112017
Portrait-aware artistic style transfer
Y Xing, J Li, T Dai, Q Tang, L Niu, ST Xia
2018 25th IEEE International Conference on Image Processing (ICIP), 2117-2121, 2018
72018
Sure-based dual domain image denoising
Z Xu, T Dai, L Niu, J Li, Q Tang, ST Xia
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
52018
Self-paced mixture of t distribution model
Y Zhang, Q Tang, L Niu, T Dai, X Xiao, ST Xia
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
52018
Foveated nonlocal dual denoising
T Dai, K Gu, Q Tang, KW Hung, Y Zhang, W Lu, ST Xia
2017 IEEE International Conference on Image Processing (ICIP), 1881-1885, 2017
52017
Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling
X Chen, Q Tang, K Hu, Y Xu, S Qiu, J Cheng, J Lei
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
42022
Robust survey aggregation with student-t distribution and sparse representation
Q Tang, T Dai, L Niu, Y Wang, ST Xia, J Cai
International Joint Conference on Artificial Intelligence 2017, 2829-2835, 2017
42017
Blind quality assessment of multiply-distorted images based on structural degradation
T Dai, K Gu, Z Xu, Q Tang, H Liang, Y Zhang, ST Xia
2017 IEEE International Conference on Image Processing (ICIP), 171-175, 2017
22017
JSRT: James-Stein Regression Tree
X Xiang, Q Tang, H Zhang, T Dai, J Li, ST Xia
arXiv preprint arXiv:2010.09022, 2020
12020
Multinomial random forests: fill the gap between theoretical consistency and empirical soundness
JW Bai, YM Li, JW Li, QT Tang, Y Jiang, C Li, ST Xia
Pattern Recognition 1903, 2019
12019
tk-means: A k-means Variant with Robustness and Stability
Y Zhang, Q Tang, Y Li, W Huang, S Xia
arXiv preprint arXiv:1907.07442, 2019
2019
tk-means: A ROBUST AND STABLE k-means VARIANT Yiming Li1, Yang Zhang1, Qingtao Tang1, Weipeng Huang2, Yong Jiang1, 3, Shu-Tao Xia1, 3 1Tsinghua Shenzhen International Graduate …
Y Li, Y Zhang, Q Tang, W Huang, Y Jiang, ST Xia
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