Jiangtao Huang

According to our database, Jiangtao Huang authored at least 10 papers between 2014 and 2023.

Collaborative distances:

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

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