Qingtao Tang

23 papers A* 6A 1B 4Misc 3Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2024 — conf
An Autonomous Trajectory Adjustment Method for Robot Demonstration Learning Trajectory Based on Visual Assistance.
ROBIO
Kaiyin Hu, Hao Chu, Xibin Xiao, Qingtao Tang, Fei Wang
2022 A* conf
Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling.
SIGIR
Xin Chen, Qingtao Tang, Ke Hu, Yue Xu, Shihang Qiu, Jia Cheng, Jun Lei
2022 J jnl
Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling.
CoRR
Xin Chen, Qingtao Tang, Ke Hu, Yue Xu, Shihang Qiu, Jia Cheng, Jun Lei
2021 A* conf
Deep Position-wise Interaction Network for CTR Prediction.
SIGIR
Jianqiang Huang, Ke Hu, Qingtao Tang, Mingjian Chen, Yi Qi, Jia Cheng, Jun Lei
2021 J jnl
Deep Position-wise Interaction Network for CTR Prediction.
CoRR
Jianqiang Huang, Ke Hu, Qingtao Tang, Mingjian Chen, Yi Qi, Jia Cheng, Jun Lei
2021 Misc conf
t-k-means: A ROBUST AND STABLE k-means VARIANT.
ICASSP
Yiming Li, Yang Zhang, Qingtao Tang, Weipéng Huáng, Yong Jiang, Shu-Tao Xia
2020 J jnl
JSRT: James-Stein Regression Tree.
CoRR
Xingchun Xiang, Qingtao Tang, Huaixuan Zhang, Tao Dai, Jiawei Li, Shu-Tao Xia
2019 J jnl
Multinomial Random Forests: Fill the Gap between Theoretical Consistency and Empirical Soundness.
CoRR
Yiming Li, Jiawang Bai, Qingtao Tang, Yong Jiang, Chun Li, Shutao Xia
2019 J jnl
t-k-means: A k-means Variant with Robustness and Stability.
CoRR
Yang Zhang, Qingtao Tang, Yiming Li, Weipéng Huáng, Shutao Xia
2018 J jnl
A Novel Consistent Random Forest Framework: Bernoulli Random Forests.
IEEE Trans. Neural Networks Learn. Syst.
Yisen Wang, Shu-Tao Xia, Qingtao Tang, Jia Wu, Xingquan Zhu
2018 B conf
Cyclic Annealing Training Convolutional Neural Networks for Image Classification with Noisy Labels.
ICIP
Jiawei Li, Tao Dai, Qingtao Tang, Yeli Xing, Shu-Tao Xia
2018 A* conf
Learning From Noisy Web Data With Category-Level Supervision.
CVPR
Li Niu, Qingtao Tang, Ashok Veeraraghavan, Ashutosh Sabharwal
2018 J jnl
Learning from Noisy Web Data with Category-level Supervision.
CoRR
Li Niu, Qingtao Tang, Ashok Veeraraghavan, Ashutosh Sabharwal
2018 B conf
Portrait-Aware Artistic Style Transfer.
ICIP
Yeli Xing, Jiawei Li, Tao Dai, Qingtao Tang, Li Niu, Shu-Tao Xia
2018 Misc conf
Self -Paced Mixture of T Distribution Model.
ICASSP
Yang Zhang, Qingtao Tang, Li Niu, Tao Dai, Xi Xiao, Shu-Tao Xia
2018 Misc conf
Sure-Based Dual Domain Image Denoising.
ICASSP
Zhiya Xu, Tao Dai, Li Niu, Jiawei Li, Qingtao Tang, Shu-Tao Xia
2017 J jnl
A generic denoising framework via guided principal component analysis.
J. Vis. Commun. Image Represent.
Tao Dai, Zhiya Xu, Haoyi Liang, Ke Gu, Qingtao Tang, Yisen Wang, Weizhi Lu, Shu-Tao Xia
2017 B conf
Blind quality assessment of multiply-distorted images based on structural degradation.
ICIP
Tao Dai, Ke Gu, Zhiya Xu, Qingtao Tang, Haoyi Liang, Yongbing Zhang, Shu-Tao Xia
2017 B conf
Foveated nonlocal dual denoising.
ICIP
Tao Dai, Ke Gu, Qingtao Tang, Kwok-Wai Hung, Yongbing Zhang, Weizhi Lu, Shu-Tao Xia
2017 A* conf
Robust Survey Aggregation with Student-t Distribution and Sparse Representation.
IJCAI
Qingtao Tang, Tao Dai, Li Niu, Yisen Wang, Shu-Tao Xia, Jianfei Cai
2017 A* conf
Student-t Process Regression with Student-t Likelihood.
IJCAI
Qingtao Tang, Li Niu, Yisen Wang, Tao Dai, Wangpeng An, Jianfei Cai, Shu-Tao Xia
2016 A* conf
Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness.
IJCAI
Yisen Wang, Qingtao Tang, Shu-Tao Xia, Jia Wu, Xingquan Zhu
2016 A conf
Student-t Process Regression with Dependent Student-t Noise.
ECAI
Qingtao Tang, Yisen Wang, Shu-Tao Xia