Qingtao Tang

According to our database, Qingtao Tang authored at least 19 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling.

Xin Chen, Qingtao Tang, Ke Hu, Yue Xu, Shihang Qiu, Jia Cheng, Jun Lei

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Deep Position-wise Interaction Network for CTR Prediction.

Jianqiang Huang, Ke Hu, Qingtao Tang, Mingjian Chen, Yi Qi, Jia Cheng, Jun Lei

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

t-k-means: A ROBUST AND STABLE k-means VARIANT.

Yiming Li, Yang Zhang, Qingtao Tang, Weipéng Huáng, Yong Jiang, Shu-Tao Xia

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

JSRT: James-Stein Regression Tree.

Xingchun Xiang, Qingtao Tang, Huaixuan Zhang, Tao Dai, Jiawei Li, Shu-Tao Xia

CoRR, 2020

2019

t-k-means: A k-means Variant with Robustness and Stability.

Yang Zhang, Qingtao Tang, Yiming Li, Weipéng Huáng, Shutao Xia

CoRR, 2019

Multinomial Random Forests: Fill the Gap between Theoretical Consistency and Empirical Soundness.

Yiming Li, Jiawang Bai, Qingtao Tang, Yong Jiang, Chun Li, Shutao Xia

CoRR, 2019

2018

A Novel Consistent Random Forest Framework: Bernoulli Random Forests.

Yisen Wang, Shu-Tao Xia, Qingtao Tang, Jia Wu, Xingquan Zhu

IEEE Trans. Neural Networks Learn. Syst., 2018

Portrait-Aware Artistic Style Transfer.

Yeli Xing, Jiawei Li, Tao Dai, Qingtao Tang, Li Niu, Shu-Tao Xia

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Cyclic Annealing Training Convolutional Neural Networks for Image Classification with Noisy Labels.

Jiawei Li, Tao Dai, Qingtao Tang, Yeli Xing, Shu-Tao Xia

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Self -Paced Mixture of T Distribution Model.

Yang Zhang, Qingtao Tang, Li Niu, Tao Dai, Xi Xiao, Shu-Tao Xia

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Sure-Based Dual Domain Image Denoising.

Zhiya Xu, Tao Dai, Li Niu, Jiawei Li, Qingtao Tang, Shu-Tao Xia

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning From Noisy Web Data With Category-Level Supervision.

Li Niu, Qingtao Tang, Ashok Veeraraghavan, Ashutosh Sabharwal

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

A generic denoising framework via guided principal component analysis.

Tao Dai, Zhiya Xu, Haoyi Liang, Ke Gu, Qingtao Tang, Yisen Wang, Weizhi Lu, Shu-Tao Xia

J. Vis. Commun. Image Represent., 2017

Student-t Process Regression with Student-t Likelihood.

Qingtao Tang, Li Niu, Yisen Wang, Tao Dai, Wangpeng An, Jianfei Cai, Shu-Tao Xia

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Robust Survey Aggregation with Student-t Distribution and Sparse Representation.

Qingtao Tang, Tao Dai, Li Niu, Yisen Wang, Shu-Tao Xia, Jianfei Cai

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Blind quality assessment of multiply-distorted images based on structural degradation.

Tao Dai, Ke Gu, Zhiya Xu, Qingtao Tang, Haoyi Liang, Yong-bing Zhang, Shu-Tao Xia

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Foveated nonlocal dual denoising.

Tao Dai, Ke Gu, Qingtao Tang, Kwok-Wai Hung, Yong-bing Zhang, Weizhi Lu, Shu-Tao Xia

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness.

Yisen Wang, Qingtao Tang, Shu-Tao Xia, Jia Wu, Xingquan Zhu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Student-t Process Regression with Dependent Student-t Noise.

Qingtao Tang, Yisen Wang, Shu-Tao Xia

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016