Jiangtao Huang

According to our database, Jiangtao Huang authored at least 21 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FEANet: A Novel Fusion-Enhanced Dual-Subnetwork for Antinoise Hyperpansharpening.

Zetian Hua, Yang Song, Jiangtao Huang, Zhouyan He, Chongchong Jin, Wujie Zhou, Ting Luo

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2026

2025

Progressively deeper attention networks for 3D human motion prediction.

Jiangtao Huang, Dong He, Wenming Cao, Jianqi Zhong

Multim. Syst., October, 2025

S-ResGCN-I: A Symmetry-Enhanced Residual Graph Convolutional Network for MRI-Based Brain Tumor Classification.

Qiujing Gan, Yingzhou Bi, Jiangtao Huang, Leigang Huo, Shanrui Liu, Kairui Xiong

Symmetry, 2025

RoFDiff: Robust Hyperpansharpening via a High-Low Frequency Conditional Diffusion Model.

Jiangtao Huang, Ting Luo, Zhouyan He, Haiyong Xu, Leyuan Fang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

AHMNet: SSM-Based Antinoise Hyperspectral and Multispectral Image Fusion.

Ruiwang Cao, Tiejun Pan, Ting Luo, Jiangtao Huang, Yang Song, Zhouyan He

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Multi-level cross-modal attention guided DIBR 3D image watermarking.

Qingmo Chen, Zhang Wang, Zhouyan He, Ting Luo, Jiangtao Huang

J. Vis. Commun. Image Represent., 2025

DMF-Net: Image-Guided Point Cloud Completion with Dual-Channel Modality Fusion and Shape-Aware Upsampling Transformer.

Aihua Mao, Yuxuan Tang, Jiangtao Huang, Ying He

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

An three-in-one on-demand ride-hailing prediction model based on multi-agent reinforcement learning.

Shaojie Qiao, Nan Han, Jiangtao Huang, Yuzhong Peng, Hongguo Cai, Xiao Qin, Zhengyi Lei

Appl. Soft Comput., December, 2024

A three-in-one dynamic shared bicycle demand forecasting model under non-classical conditions.

Shaojie Qiao, Nan Han, He Li, Guan Yuan, Tao Wu, Yuzhong Peng, Hongguo Cai, Jiangtao Huang

Appl. Intell., September, 2024

CRepair: CVAE-based Automatic Vulnerability Repair Technology.

Penghui Liu, Yingzhou Bi, Jiangtao Huang, Xinxin Jiang, Lianmei Wang

CoRR, 2024

Knowledge Graph Relation Patterns Networks for Recommendations.

Yongyi Liu, Shanru Lin, Jiangtao Huang

Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

2023

RDD-net: Robust duplicated-diffusion watermarking based on deep network.

Guowei Jiang, Zhouyan He, Jiangtao Huang, Ting Luo, Haiyong Xu, Chongchong Jin

J. Vis. Commun. Image Represent., October, 2023

ARWGAN: Attention-Guided Robust Image Watermarking Model Based on GAN.

Jiangtao Huang, Ting Luo, Li Li, Gaobo Yang, Haiyong Xu, Chin-Chen Chang

IEEE Trans. Instrum. Meas., 2023

Benchmarking Software Vulnerability Detection Techniques: A Survey.

Yingzhou Bi, Jiangtao Huang, Penghui Liu, Lianmei Wang

CoRR, 2023

Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning.

Soheila Farokhi, Aswani Yaramala, Jiangtao Huang, Muhammad Fawad Akbar Khan, Xiaojun Qi, Hamid Karimi

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data.

Wentao Wang, Harry Shomer, Yuxuan Wan, Yaxin Li, Jiangtao Huang, Hui Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2021

A Novel HDR Image Zero-Watermarking Based on Shift-Invariant Shearlet Transform.

Shanshan Shi, Ting Luo, Jiangtao Huang, Meng Du

Secur. Commun. Networks, 2021

Attention-Based Deep Multi-scale Network for Plant Leaf Recognition.

Xiao Qin, Yu Shi, Xiao Huang, Huiting Li, Jiangtao Huang, Changan Yuan, Chunxia Liu

Proceedings of the Intelligent Computing Theories and Application, 2021

Automatic Identification of Teachers in Social Media using Positive Unlabeled Learning.

Hamid Karimi, Jiliang Tang, Xochitl Weiss, Jiangtao Huang

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network.

Hamid Karimi, Tyler Derr, Jiangtao Huang, Jiliang Tang

Proceedings of the 13th International Conference on Educational Data Mining, 2020

2014

An improved Gene Expression Programming approach for symbolic regression problems.

Yu-zhong Peng, Chang-an Yuan, Xiao Qin, Jiangtao Huang, YaBing Shi

Neurocomputing, 2014