Joey Tianyi Zhou
Joey Tianyi Zhou
Institute of High Performance Computing
Verified email at - Homepage
Cited by
Cited by
Structured autoencoders for subspace clustering
X Peng, J Feng, S Xiao, WY Yau, JT Zhou, S Yang
IEEE Transactions on Image Processing 27 (10), 5076-5086, 2018
A deep learning framework for Hybrid Heterogeneous Transfer Learning
JT Zhou, SJ Pan, IW Tsang
Artificial Intelligence 275, 310-328, 2019
Multi-class heterogeneous domain adaptation
JT Zhou, IW Tsang, SJ Pan, M Tan
Journal of Machine Learning Research 20, 1-31, 2019
Transfer hashing: From shallow to deep
JT Zhou, H Zhao, X Peng, M Fang, Z Qin, RSM Goh
IEEE Transactions on Neural Networks and Learning Systems, 2018
Exploit bounding box annotations for multi-label object recognition
H Yang, J Tianyi Zhou, Y Zhang, BB Gao, J Wu, J Cai
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Feature disentangling machine-a novel approach of feature selection and disentangling in facial expression analysis
P Liu, JT Zhou, IWH Tsang, Z Meng, S Han, Y Tong
European Conference on Computer Vision, 151-166, 2014
Transfer learning for cross-language text categorization through active correspondences construction.
JT Zhou, SJ Pan, IW Tsang, SS Ho
AAAI, 2400-2406, 2016
Deep clustering with sample-assignment invariance prior
X Peng, H Zhu, J Feng, C Shen, H Zhang, JT Zhou
IEEE Transactions on Neural Networks and Learning Systems, 2019
Is bert really robust? natural language attack on text classification and entailment
D Jin, Z Jin, JT Zhou, P Szolovits
arXiv preprint arXiv:1907.11932 2, 2019
Anomalynet: An anomaly detection network for video surveillance
JT Zhou, J Du, H Zhu, X Peng, Y Liu, RSM Goh
IEEE Transactions on Information Forensics and Security 14 (10), 2537-2550, 2019
Miml-fcn+: Multi-instance multi-label learning via fully convolutional networks with privileged information
H Yang, J Tianyi Zhou, J Cai, Y Soon Ong
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
COMIC: Multi-view clustering without parameter selection
X Peng, Z Huang, J Lv, H Zhu, JT Zhou
International Conference on Machine Learning, 5092-5101, 2019
Improving multi-label learning with missing labels by structured semantic correlations
H Yang, JT Zhou, J Cai
European conference on computer vision, 835-851, 2016
Multiple marginal Fisher analysis
Z Huang, H Zhu, JT Zhou, X Peng
IEEE Transactions on Industrial Electronics 66 (12), 9798-9807, 2018
Sc2net: Sparse lstms for sparse coding
JT Zhou, K Di, J Du, X Peng, H Yang, SJ Pan, IW Tsang, Y Liu, Z Qin, ...
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Towards good practices on building effective cnn baseline model for person re-identification
F Xiong, Y Xiao, Z Cao, K Gong, Z Fang, JT Zhou
arXiv preprint arXiv:1807.11042, 2018
Dual Adversarial Transfer for Sequence Labeling
JT Zhou, H Zhang, D Jin, X Peng
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
Action recognition for depth video using multi-view dynamic images
Y Xiao, J Chen, Y Wang, Z Cao, JT Zhou, X Bai
Information Sciences 480, 287-304, 2019
Multi-graph fusion for multi-view spectral clustering
Z Kang, G Shi, S Huang, W Chen, X Pu, JT Zhou, Z Xu
Knowledge-Based Systems 189, 105102, 2020
Multi-view positive and unlabeled learning
JT Zhou, SJ Pan, Q Mao, IW Tsang
Journal of Machine Learning Research, 2012
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