DeepShip: An underwater acoustic benchmark dataset and a separable convolution based autoencoder for classification. - Muhammad Irfan 009; Jiangbin Zheng 001; Shahid Ali; Muhammad Iqbal 001; Zafar Masood; Umar Hamid (Expert Syst. Appl., 2021)

Brain inspired lifelong learning model based on neural based learning classifier system for underwater data classification. - Muhammad Irfan 009; Jiangbin Zheng 001; Muhammad Iqbal 001; Zafar Masood; Muhammad Hassan Arif; Syed Rauf ul Hassan (Expert Syst. Appl., 2021)

A novel lifelong learning model based on cross domain knowledge extraction and transfer to classify underwater images. - Muhammad Irfan 009; Jiangbin Zheng 001; Muhammad Iqbal 001; Muhammad Hassan Arif (Inf. Sci., 2021)

Enhancing learning classifier systems through convolutional autoencoder to classify underwater images. - Muhammad Irfan 009; Jiangbin Zheng 001; Muhammad Iqbal 001; Muhammad Hassan Arif (Soft Comput., 2021)

High-Performance GPU based Planetary-Scale Terrain Visualization. - Zafar Masood; Jiangbin Zheng 001; Idrees Ahmad; Muhammad Irfan 009; Amir Saeed (ICIGP, 2022)

LifelongGlue: Keypoint matching for 3D reconstruction with continual neural networks. - Anam Zaman; Yangyu Fan; Muhammad Irfan 009; Muhammad Saad Ayub; Guoyun Lv; Shiya Liu (Expert Syst. Appl., 2022)

Knowledge extraction and retention based continual learning by using convolutional autoencoder-based learning classifier system. - Muhammad Irfan 009; Jiangbin Zheng 001; Muhammad Iqbal 001; Zafar Masood; Muhammad Hassan Arif (Inf. Sci., 2022)

High-performance adaptive texture streaming for planetary-scale high-mobility information visualization. - Zafar Masood; Jiangbin Zheng 001; Idrees Ahmad; Muhammad Irfan 009 (J. King Saud Univ. Comput. Inf. Sci., 2022)

A novel method for adaptive terrain rendering using memory-efficient tessellation codes for virtual globes. - Zafar Masood; Jiangbin Zheng 001; Idrees Ahmad; Muhammad Irfan 009; Nafees Ahmad (J. King Saud Univ. Comput. Inf. Sci., 2022)

CMDGAT: Knowledge extraction and retention based continual graph attention network for point cloud registration. - Anam Zaman; Yangyu Fan; Muhammad Saad Ayub; Muhammad Irfan 009; Guoyun Lv; Shiya Liu (Expert Syst. Appl., 2023)

Efficient adaptive rendering of planetary-scale terrains. - Zafar Masood; Jiangbin Zheng 001; Muhammad Irfan 009; Idress Ahmad (Int. J. Comput. Appl. Technol., 2023)

High-performance virtual globe GPU terrain rendering using game engine. - Zafar Masood; Jiangbin Zheng 001; Muhammad Irfan 009; Idrees Ahmad (Comput. Animat. Virtual Worlds, 2023)

Multiscale Attention Network for Detection and Localization of Image Splicing Forgery. - Yanzhi Xu; Muhammad Irfan 009; Aiqing Fang; Jiangbin Zheng 001 (IEEE Trans. Instrum. Meas., 2023)

Feature enhancement and supervised contrastive learning for image splicing forgery detection. - Yanzhi Xu; Jiangbin Zheng 001; Aiqing Fang; Muhammad Irfan 009 (Digit. Signal Process., 2023)

Underwater sound classification using learning based methods: A review. - Muhammad Azeem Aslam; Lefang Zhang; Xin Liu; Muhammad Irfan 009; Yimei Xu; Na Li; Ping Zhang; Jiangbin Zheng 001; Li Yaan (Expert Syst. Appl., 2024)

An expert system for hybrid edge to cloud computational offloading in heterogeneous MEC-MCC environments. - Sheharyar Khan; Jiangbin Zheng 001; Muhammad Irfan 009; Farhan Ullah; Sohrab Khan (J. Netw. Comput. Appl., 2024)

Cross-scale condition aggregation and iterative refinement for copy-move forgery detection. - Yanzhi Xu; Jiangbin Zheng 001; Aiqing Fang; Muhammad Irfan 009 (Appl. Intell., 2024)

A novel continual reinforcement learning-based expert system for self-optimization of soft real-time systems. - Zafar Masood; Jiangbin Zheng 001; Idrees Ahmad; Chai Dongdong; Wasif Shabbir; Muhammad Irfan 009 (Expert Syst. Appl., 2024)

AFCMS-Net: Adaptive feature coupling and multi-level supervision network for effective image forgery localization. - Yanzhi Xu; Jinchang Ren; Aiqing Fang; Muhammad Irfan 009; Jiangbin Zheng 001 (Knowl. Based Syst., 2025)