Qingtao Tang

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 22

Top Topics

Convolutional Neural Networks

Top Venues

Publications

Xin Chen, Qingtao Tang, Ke Hu, Yue Xu, Shihang Qiu, Jia Cheng, Jun Lei
Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling. SIGIR (2022)
Xin Chen, Qingtao Tang, Ke Hu, Yue Xu, Shihang Qiu, Jia Cheng, Jun Lei
Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling. CoRR (2022)
Jianqiang Huang, Ke Hu, Qingtao Tang, Mingjian Chen, Yi Qi, Jia Cheng, Jun Lei
Deep Position-wise Interaction Network for CTR Prediction. CoRR (2021)
Jianqiang Huang, Ke Hu, Qingtao Tang, Mingjian Chen, Yi Qi, Jia Cheng, Jun Lei
Deep Position-wise Interaction Network for CTR Prediction. SIGIR (2021)
Yiming Li, Yang Zhang, Qingtao Tang, Weipeng Huang, Yong Jiang, Shu-Tao Xia
t-k-means: A ROBUST AND STABLE k-means VARIANT. ICASSP (2021)
Xingchun Xiang, Qingtao Tang, Huaixuan Zhang, Tao Dai, Jiawei Li, Shu-Tao Xia
JSRT: James-Stein Regression Tree. CoRR (2020)
Yang Zhang, Qingtao Tang, Yiming Li, Weipeng Huang, Shutao Xia
t-k-means: A k-means Variant with Robustness and Stability. CoRR (2019)
Yiming Li, Jiawang Bai, Qingtao Tang, Yong Jiang, Chun Li, Shutao Xia
Multinomial Random Forests: Fill the Gap between Theoretical Consistency and Empirical Soundness. CoRR (2019)
Yeli Xing, Jiawei Li, Tao Dai, Qingtao Tang, Li Niu, Shu-Tao Xia
Portrait-Aware Artistic Style Transfer. ICIP (2018)
Li Niu, Qingtao Tang, Ashok Veeraraghavan, Ashutosh Sabharwal
Learning From Noisy Web Data With Category-Level Supervision. CVPR (2018)
Li Niu, Qingtao Tang, Ashok Veeraraghavan, Ashutosh Sabharwal
Learning from Noisy Web Data with Category-level Supervision. CoRR (2018)
Jiawei Li, Tao Dai, Qingtao Tang, Yeli Xing, Shu-Tao Xia
Cyclic Annealing Training Convolutional Neural Networks for Image Classification with Noisy Labels. ICIP (2018)
Zhiya Xu, Tao Dai, Li Niu, Jiawei Li, Qingtao Tang, Shu-Tao Xia
Sure-Based Dual Domain Image Denoising. ICASSP (2018)
Yang Zhang, Qingtao Tang, Li Niu, Tao Dai, Xi Xiao, Shu-Tao Xia
Self -Paced Mixture of T Distribution Model. ICASSP (2018)
Yisen Wang, Shu-Tao Xia, Qingtao Tang, Jia Wu, Xingquan Zhu
A Novel Consistent Random Forest Framework: Bernoulli Random Forests. IEEE Trans. Neural Networks Learn. Syst. 29 (8) (2018)
Tao Dai, Ke Gu, Zhiya Xu, Qingtao Tang, Haoyi Liang, Yong-bing Zhang, Shu-Tao Xia
Blind quality assessment of multiply-distorted images based on structural degradation. ICIP (2017)
Qingtao Tang, Li Niu, Yisen Wang, Tao Dai, Wangpeng An, Jianfei Cai, Shu-Tao Xia
Student-t Process Regression with Student-t Likelihood. IJCAI (2017)
Tao Dai, Ke Gu, Qingtao Tang, Kwok-Wai Hung, Yong-bing Zhang, Weizhi Lu, Shu-Tao Xia
Foveated nonlocal dual denoising. ICIP (2017)
Qingtao Tang, Tao Dai, Li Niu, Yisen Wang, Shu-Tao Xia, Jianfei Cai
Robust Survey Aggregation with Student-t Distribution and Sparse Representation. IJCAI (2017)
Tao Dai, Zhiya Xu, Haoyi Liang, Ke Gu, Qingtao Tang, Yisen Wang, Weizhi Lu, Shu-Tao Xia
A generic denoising framework via guided principal component analysis. J. Vis. Commun. Image Represent. 48 (2017)
Qingtao Tang, Yisen Wang, Shu-Tao Xia
Student-t Process Regression with Dependent Student-t Noise. ECAI (2016)
Yisen Wang, Qingtao Tang, Shu-Tao Xia, Jia Wu, Xingquan Zhu
Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness. IJCAI (2016)