An improved Gene Expression Programming approach for symbolic regression problems. - Yu-zhong Peng; Chang-an Yuan 001; Xiao Qin 005; Jiangtao Huang; YaBing Shi (Neurocomputing, 2014)

Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network. - Hamid Karimi; Tyler Derr; Jiangtao Huang; Jiliang Tang (EDM, 2020)

Automatic Identification of Teachers in Social Media using Positive Unlabeled Learning. - Hamid Karimi; Jiliang Tang; Xochitl Weiss; Jiangtao Huang (IEEE BigData, 2021)

Attention-Based Deep Multi-scale Network for Plant Leaf Recognition. - Xiao Qin 005; Yu Shi; Xiao Huang; Huiting Li; Jiangtao Huang; Changan Yuan 001; Chunxia Liu (ICIC (1), 2021)

A Novel HDR Image Zero-Watermarking Based on Shift-Invariant Shearlet Transform. - Shanshan Shi; Ting Luo 001; Jiangtao Huang; Meng Du (Secur. Commun. Networks, 2021)

A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data. - Wentao Wang 006; Harry Shomer; Yuxuan Wan; Yaxin Li 001; Jiangtao Huang; Hui Liu 031 (CIKM, 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 001; Hamid Karimi (DSAA, 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 (CoRR, 2023)

ARWGAN: Attention-Guided Robust Image Watermarking Model Based on GAN. - Jiangtao Huang; Ting Luo 001; Li Li 014; Gaobo Yang; Haiyong Xu; Chin-Chen Chang 001 (IEEE Trans. Instrum. Meas., 2023)

RDD-net: Robust duplicated-diffusion watermarking based on deep network. - Guowei Jiang; Zhouyan He; Jiangtao Huang; Ting Luo 001; Haiyong Xu; Chongchong Jin (J. Vis. Commun. Image Represent., 2023)

Knowledge Graph Relation Patterns Networks for Recommendations. - Yongyi Liu; Shanru Lin; Jiangtao Huang (WISE (2), 2024)

CRepair: CVAE-based Automatic Vulnerability Repair Technology. - Penghui Liu; Yingzhou Bi; Jiangtao Huang; Xinxin Jiang; Lianmei Wang (CoRR, 2024)

A three-in-one dynamic shared bicycle demand forecasting model under non-classical conditions. - Shaojie Qiao; Nan Han; He Li 006; Guan Yuan; Tao Wu 003; Yuzhong Peng; Hongguo Cai; Jiangtao Huang (Appl. Intell., 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 005; Zhengyi Lei (Appl. Soft Comput., 2024)

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 001 (AAAI, 2025)

Multi-level cross-modal attention guided DIBR 3D image watermarking. - Qingmo Chen; Zhang Wang; Zhouyan He; Ting Luo 001; Jiangtao Huang (J. Vis. Commun. Image Represent., 2025)

RoFDiff: Robust Hyperpansharpening via a High-Low Frequency Conditional Diffusion Model. - Jiangtao Huang; Ting Luo 001; Zhouyan He; Haiyong Xu; Leyuan Fang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Progressively deeper attention networks for 3D human motion prediction. - Jiangtao Huang; Dong He; Wenming Cao 001; Jianqi Zhong (Multim. Syst., 2025)