Is bert really robust? a strong baseline for natural language attack on text classification and entailment D Jin, Z Jin, JT Zhou, P Szolovits Proceedings of the AAAI conference on artificial intelligence 34 (05), 8018-8025, 2020 | 422* | 2020 |
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 | 246 | 2018 |
A deep learning framework for hybrid heterogeneous transfer learning JT Zhou, SJ Pan, IW Tsang Artificial Intelligence 275, 310-328, 2019 | 189* | 2019 |
Multi-class heterogeneous domain adaptation JT Zhou, IW Tsang, SJ Pan, M Tan Journal of Machine Learning Research 20, 1-31, 2019 | 170* | 2019 |
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 | 127 | 2016 |
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 | 122 | 2019 |
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 | 116 | 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 | 113* | 2018 |
Partition level multiview subspace clustering Z Kang, X Zhao, C Peng, H Zhu, JT Zhou, X Peng, W Chen, Z Xu Neural Networks 122, 279-288, 2020 | 108 | 2020 |
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 31 (11), 4857-4868, 2019 | 91 | 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 | 90 | 2020 |
A2j: Anchor-to-joint regression network for 3d articulated pose estimation from a single depth image F Xiong, B Zhang, Y Xiao, Z Cao, T Yu, JT Zhou, J Yuan Proceedings of the IEEE/CVF International Conference on Computer Vision, 793-802, 2019 | 80 | 2019 |
Dual Adversarial Transfer for Sequence Labeling JT Zhou, H Zhang, D Jin, X Peng IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 | 74* | 2019 |
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 | 74 | 2014 |
Contrastive clustering Y Li, P Hu, Z Liu, D Peng, JT Zhou, X Peng 2021 AAAI Conference on Artificial Intelligence (AAAI), 2021 | 68 | 2021 |
Span-based localizing network for natural language video localization H Zhang, A Sun, W Jing, JT Zhou arXiv preprint arXiv:2004.13931, 2020 | 63 | 2020 |
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 | 58 | 2019 |
Transfer learning for cross-language text categorization through active correspondences construction JT Zhou, SJ Pan, IW Tsang, SS Ho Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 57 | 2016 |
Nonlinear regression via deep negative correlation learning L Zhang, Z Shi, MM Cheng, Y Liu, JW Bian, JT Zhou, G Zheng, Z Zeng IEEE transactions on pattern analysis and machine intelligence 43 (3), 982-998, 2019 | 56 | 2019 |
Multi-view Spectral Clustering Network. Z Huang, JT Zhou, X Peng, C Zhang, H Zhu, J Lv IJCAI, 2563-2569, 2019 | 53 | 2019 |