Research output per year
Research output per year
Personal profile
Research interests
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.
Education/Academic qualification
Computing Science, PhD
30 Jun 2013 → 31 Dec 2099
Award Date: 30 Jun 2013
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Collaborations and top research areas from the last five years
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Cross-View Graph Consistency Learning for Invariant Graph Representations
Chen, J., Mao, H., Woo, W. L., Liu, C. & Peng, X., 11 Apr 2025, Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence. Walsh, T., Shah, S. & Kolter, Z. (eds.). Washington, DC, United States: Association for the Advancement of Artificial Intelligence (AAAI), p. 15795-15802 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 39, no. 15).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile1 Downloads (Pure) -
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. Rocha, A. P., Steels, L. & van den Herik, H. J. (eds.). Scitepress, Vol. 2. p. 543-554 12 p. (International Conference on Agents and Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile3 Downloads (Pure) -
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, (E-pub ahead of print) In: Computer Science and Information Systems. p. 1-15 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Downloads (Pure) -
GradCFA: A Hybrid Gradient-Based Counterfactual and Feature Attribution Explanation Algorithm for Local Interpretation of Neural Networks
Sanderson, J., Mao, H. & Woo, W. L., 18 Mar 2025, (E-pub ahead of print) In: IEEE Transactions on Artificial Intelligence. p. 1-13 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
One-Step Adaptive Graph Learning for Incomplete Multiview Subspace Clustering
Chen, J., Mao, H., Woo, W. L., Liu, C., Wang, Z. & Peng, X., 1 May 2025, In: IEEE Transactions on Knowledge and Data Engineering. 37, 5, p. 2771-2783 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Downloads (Pure)
Projects
- 1 Active
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COVER - Cooperative and intelligent unmanned aerial vehicles for emergency response applications
Chen, X. (PI), Woo, W. L. (CoI), Yang, L. (CoI), Yuan, Z. (CoI), Mao, H. (CoI) & Aslam, N. (CoI)
1/07/23 → 30/06/27
Project: Research