ExpFinder: An Ensemble Expert Finding Model Integrating N-gram Vector Space Model and μCO-HITS. - Yong-Bin Kang; Hung Du; Abdur Rahim Mohammad Forkan; Prem Prakash Jayaraman; Amir Aryani; Timos Sellis (CoRR, 2021)

An AI-based Solution for Enhancing Delivery of Digital Learning for Future Teachers. - Yong-Bin Kang; Abdur Rahim Mohammad Forkan; Prem Prakash Jayaraman; Natalie Wieland; Elizabeth Kollias; Hung Du; Steven Thomson; Yuan-Fang Li (CoRR, 2021)

An open-source framework for ExpFinder integrating N-gram vector space model and μCO-HITS. - Hung Du; Yong-Bin Kang (Softw. Impacts, 2021)

A Framework for Evaluating MRC Approaches with Unanswerable Questions. - Hung Du; Srikanth Thudumu; Sankhya Singh; Scott Barnett; Irini Logothetis; Rajesh Vasa; Kon Mouzakis (e-Science, 2022)

Subspace based Anomaly Detection Framework for Point Clouds. - Johnahan Van Zyl; Hung Du; Srikanth Thudumu; Irini Logothetis; Scott Barnett; Rajesh Vasa; Kon Mouzakis (e-Science, 2022)

SRAuditor: An Automated Assessment Tool for Statement of Advice Documents. - Yong-Bin Kang; Abdur Forkan; Prem Prakash Jayaraman; Hung Du; Rohit Kaul; Dan Hunter (HICSS, 2022)

On the Violation of Honesty in Mobile Apps: Automated Detection and Categories. - Humphrey O. Obie; Idowu Ilekura; Hung Du; Mojtaba Shahin; John C. Grundy; Li Li 029; Jon Whittle 001; Burak Turhan (MSR, 2022)

Decentralized Federated Learning Strategy with Image Classification using ResNet Architecture. - Hung Du; Srikanth Thudumu; Sankhya Singh; Scott Barnett; Irini Logothetis; Rajesh Vasa; Kon Mouzakis (CCNC, 2023)

UAV Dynamic Object Tracking with Lightweight Deep Vision Reinforcement Learning. - Hy Nguyen; Srikanth Thudumu; Hung Du; Kon Mouzakis; Rajesh Vasa (Algorithms, 2023)

ExpFinder: A hybrid model for expert finding from text-based expertise data. - Yong-Bin Kang; Hung Du; Abdur Rahim Mohammad Forkan; Prem Prakash Jayaraman; Amir Aryani; Timos Sellis (Expert Syst. Appl., 2023)

VideoDL: Video-Based Digital Learning Framework Using AI Question Generation and Answer Assessment. - Abdur Rahim Mohammad Forkan; Yong-Bin Kang; Prem Prakash Jayaraman; Hung Du; Steven Thomson; Elizabeth Kollias; Natalie Wieland (Int. J. Adv. Corp. Learn., 2023)

Automated detection, categorisation and developers' experience with the violations of honesty in mobile apps. - Humphrey O. Obie; Hung Du; Kashumi Madampe; Mojtaba Shahin; Idowu Ilekura; John C. Grundy; Li Li 029; Jon Whittle 001; Burak Turhan; Hourieh Khalajzadeh (Empir. Softw. Eng., 2023)

Contextual topic discovery using unsupervised keyphrase extraction and hierarchical semantic graph model. - Hung Du; Srikanth Thudumu; Antonio Giardina; Rajesh Vasa; Kon Mouzakis; Li Jiang; John Chisholm; Sanat Bista (J. Big Data, 2023)

A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions. - Hung Du; Srikanth Thudumu; Rajesh Vasa; Kon Mouzakis (CoRR, 2024)

Dual-Branch HNSW Approach with Skip Bridges and LID-Driven Optimization. - Hy Nguyen; Nguyen Hung Nguyen; Nguyen Linh Bao Nguyen; Srikanth Thudumu; Hung Du; Rajesh Vasa; Kon Mouzakis (CoRR, 2025)

CSAOT: Cooperative Multi-Agent System for Active Object Tracking. - Hy Nguyen; Bao Pham; Hung Du; Srikanth Thudumu; Rajesh Vasa; Kon Mouzakis (CoRR, 2025)

Local Control Networks (LCNs): Optimizing Flexibility in Neural Network Data Pattern Capture. - Hy Nguyen; Duy Khoa Pham; Srikanth Thudumu; Hung Du; Rajesh Vasa; Kon Mouzakis (CoRR, 2025)

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination. - Hung Du; Srikanth Thudumu; Hy Nguyen; Rajesh Vasa; Kon Mouzakis (CoRR, 2025)

Overcoming Semantic Dilution in Transformer-Based Next Frame Prediction. - Hy Nguyen; Srikanth Thudumu; Hung Du; Rajesh Vasa; Kon Mouzakis (CoRR, 2025)

The M-factor: A Novel Metric for Evaluating Neural Architecture Search in Resource-Constrained Environments. - Srikanth Thudumu; Hy Nguyen; Hung Du; Nhat Duong; Zafaryab Rasool; Rena Logothetis; Scott Barnett; Rajesh Vasa; Kon Mouzakis (CoRR, 2025)

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications. - Srikanth Thudumu; Jason Fisher; Hung Du (CoRR, 2025)