Dr Hua Mao

Dr. Hua Mao has been an assistant professor in the Department of Computer and Information Sciences at Northumbria University since July 2019. Before that, she was with the School of Computer Science at Sichuan University, China. She worked as a Lecturer, followed by an Associate Professor from Jan. 2014 – Dec. 2018. Dr. Mao received her Ph.D. degree from Aalborg University, Denmark, in 2013. Her research interests include deep learning and AI. 

• Please visit the Pure Research Information Portal for further information
• Cross-View Graph Consistency Learning for Invariant Graph Representations, Chen, J., Mao, H., Woo, W., Liu, C., Peng, X. 11 Apr 2025, Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence, Washington, DC, United States, Association for the Advancement of Artificial Intelligence (AAAI)
• DiPACE: Diverse, Plausible and Actionable Counterfactual Explanations, Sanderson, J., Mao, H., Woo, W. 25 Feb 2025, Proceedings of the 17th International Conference on Agents and Artificial Intelligence, Scitepress
• Efficient algorithms for collecting the statistics of large-scale IP address data, Liu, H., Cao, Y., Cai, Z., Mao, H., Chen, J. 10 Apr 2025, In: Computer Science and Information Systems
• GradCFA: A Hybrid Gradient-Based Counterfactual and Feature Attribution Explanation Algorithm for Local Interpretation of Neural Networks, Sanderson, J., Mao, H., Woo, W. 18 Mar 2025, In: IEEE Transactions on Artificial Intelligence
• One-Step Adaptive Graph Learning for Incomplete Multiview Subspace Clustering, Chen, J., Mao, H., Woo, W., Liu, C., Wang, Z., Peng, X. 1 May 2025, In: IEEE Transactions on Knowledge and Data Engineering
• Dynamic Graph Embedding via Meta-Learning, Mao, Y., Hao, Y., Cao, X., Fang, Y., Lin, X., Mao, H., Xu, Z. 1 Jul 2024, In: IEEE Transactions on Knowledge and Data Engineering
• Explainable Deep Semantic Segmentation for Flood Inundation Mapping with Class Activation Mapping Techniques, Sanderson, J., Mao, H., Tengtrairat, N., Al-Nima, R., Woo, W. 26 Feb 2024, Proceedings of the 16th International Conference on Agents and Artificial Intelligence, Scitepress
• Cross-View Graph Consistency Learning for Invariant Graph Representations, Chen, J., Li, Z., Mao, H., Woo, W., Peng, X. 20 Nov 2023
• Deep Multiview Clustering by Contrasting Cluster Assignments, Chen, J., Mao, H., Woo, W., Peng, X. 21 Apr 2023
• Deep Multiview Clustering by Contrasting Cluster Assignments, Chen, J., Mao, H., Woo, W., Peng, X. 6 Oct 2023, Proceedings - 2023 IEEE/CVF International Conference on Computer Vision, ICCV 2023, Piscataway, NJ, IEEE

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• COVER - Cooperative and intelligent unmanned aerial vehicles for emergency response applications, Chen, X. (Principal Investigator), Mao, H. (Co Investigator), European Commission, 01/07/23 - 30/06/27, £63,601.00

Jacob Sanderson Explainable Artificial Intelligence: Improving AI Interpretability through Advances in Counterfactual Explanations Start Date: 01/10/2023

Computing Science PhD June 30 2013

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