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ORCIDJiangtao Huang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j6]Shaojie Qiao, Nan Han, He Li, Guan Yuan, Tao Wu, Yuzhong Peng, Hongguo Cai, Jiangtao Huang:
A three-in-one dynamic shared bicycle demand forecasting model under non-classical conditions. Appl. Intell. 54(17-18): 8592-8611 (2024)- [j5]Shaojie Qiao, Nan Han, Jiangtao Huang, Yuzhong Peng, Hongguo Cai, Xiao Qin, Zhengyi Lei:
An three-in-one on-demand ride-hailing prediction model based on multi-agent reinforcement learning. Appl. Soft Comput. 149(Part A): 110965 (2024) - [c6]Yongyi Liu, Shanru Lin, Jiangtao Huang:
Knowledge Graph Relation Patterns Networks for Recommendations. WISE (2) 2024: 131-145 - [i3]Aihua Mao, Yuxuan Tang, Jiangtao Huang, Ying He:
DMF-Net: Image-Guided Point Cloud Completion with Dual-Channel Modality Fusion and Shape-Aware Upsampling Transformer. CoRR abs/2406.17319 (2024) - 2023
- [j4]Guowei Jiang, Zhouyan He
, Jiangtao Huang, Ting Luo, Haiyong Xu, Chongchong Jin:
RDD-net: Robust duplicated-diffusion watermarking based on deep network. J. Vis. Commun. Image Represent. 96: 103934 (2023) - [j3]Jiangtao Huang, Ting Luo, Li Li, Gaobo Yang, Haiyong Xu, Chin-Chen Chang:
ARWGAN: Attention-Guided Robust Image Watermarking Model Based on GAN. IEEE Trans. Instrum. Meas. 72: 1-17 (2023) - [c5]Wentao Wang, Harry Shomer, Yuxuan Wan, Yaxin Li, Jiangtao Huang, Hui Liu:
A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data. CIKM 2023: 2637-2645 - [c4]Soheila Farokhi, Aswani Yaramala, Jiangtao Huang, Muhammad Fawad Akbar Khan, Xiaojun Qi, Hamid Karimi:
Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning. DSAA 2023: 1-10 - [i2]Yingzhou Bi, Jiangtao Huang, Penghui Liu, Lianmei Wang:
Benchmarking Software Vulnerability Detection Techniques: A Survey. CoRR abs/2303.16362 (2023) - [i1]Soheila Farokhi, Aswani Yaramala, Jiangtao Huang, Muhammad Fawad Akbar Khan, Xiaojun Qi, Hamid Karimi:
Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning. CoRR abs/2310.12281 (2023) - 2021
- [j2]Shanshan Shi, Ting Luo, Jiangtao Huang, Meng Du:
A Novel HDR Image Zero-Watermarking Based on Shift-Invariant Shearlet Transform. Secur. Commun. Networks 2021: 6662700:1-6662700:12 (2021) - [c3]Hamid Karimi, Jiliang Tang, Xochitl Weiss, Jiangtao Huang:
Automatic Identification of Teachers in Social Media using Positive Unlabeled Learning. IEEE BigData 2021: 643-652 - [c2]Xiao Qin, Yu Shi, Xiao Huang, Huiting Li, Jiangtao Huang, Changan Yuan, Chunxia Liu:
Attention-Based Deep Multi-scale Network for Plant Leaf Recognition. ICIC (1) 2021: 302-313 - 2020
- [c1]Hamid Karimi, Tyler Derr, Jiangtao Huang, Jiliang Tang:
Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network. EDM 2020
2010 – 2019
- 2014
- [j1]Yu-zhong Peng, Chang-an Yuan, Xiao Qin, Jiangtao Huang, YaBing Shi:
An improved Gene Expression Programming approach for symbolic regression problems. Neurocomputing 137: 293-301 (2014)
Coauthor Index
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