Boosting Reinforcement Learning in Competitive Influence Maximization with Transfer Learning. - Khurshed Ali; Chih-Yu Wang 001; Yi-Shin Chen (WI, 2018)

A Novel Nested Q-Learning Method to Tackle Time-Constrained Competitive Influence Maximization. - Khurshed Ali; Chih-Yu Wang 001; Yi-Shin Chen (IEEE Access, 2019)

Addressing Competitive Influence Maximization on Unknown Social Network with Deep Reinforcement Learning. - Khurshed Ali; Chih-Yu Wang 001; Mi-Yen Yeh; Yi-Shin Chen (ASONAM, 2020)

NEDRL-CIM: Network Embedding Meets Deep Reinforcement Learning to Tackle Competitive Influence Maximization on Evolving Social Networks. - Khurshed Ali; Chih-Yu Wang 001; Mi-Yen Yeh; Cheng-Te Li; Yi-Shin Chen (DSAA, 2021)

Joint Selection of Influential Users and Locations under Target Region in Location-Based Social Networks. - Khurshed Ali; Cheng-Te Li; Yi-Shin Chen (Sensors, 2021)

Prediction of Pakistani Honey Authenticity Through Machine Learning. - Noureen Fatima; Ghulam Mujtaba 001; Adnan Akhunzada; Khurshed Ali; Zahid Hussain Shaikh; Baby Rabia; Javed Ahmed Shahani (IEEE Access, 2022)

IPFS and Blockchain Based Reliability and Availability Improvement for Integrated Rivers' Streamflow Data. - Muhammad Hussain Mughal; Zubair Ahmed Shaikh; Khurshed Ali; Safdar Ali; Saif Hassan (IEEE Access, 2022)

Leveraging transfer learning in reinforcement learning to tackle competitive influence maximization. - Khurshed Ali; Chih-Yu Wang 001; Yi-Shin Chen (Knowl. Inf. Syst., 2022)

The State of AI-Empowered Backscatter Communications: A Comprehensive Survey. - Fang Xu 001; Touseef Hussain; Manzoor Ahmed; Khurshed Ali; Muhammad Ayzed Mirza; Wali Ullah Khan; Asim Ihsan; Zhu Han 001 (IEEE Internet Things J., 2023)