Welcome to Xiaofei's Homepage¶
Short Bio¶
I received my Ph.D. from the School of Computing Technologies at RMIT University in 2025. Prior to that, I earned my B.Eng (2017) and M.S. (2020) degrees from the College of Computer and Information Science at Southwest University in Chongqing, China. Starting in July/2025, I will join Murdoch University as an Associate Lecturer. Additionally, I operate a research purposed private IPv6-only autonomous system: see in BGP tools. Accept peering requests by email (can be found at whois)
Research¶
My research interest include fake news intervention, reinforcement learning, imitation learning, recommender systems, and large language models.
Selected publications:
2025
- Xu, Xiaofei, Xiuzhen Zhang, and Ke Deng. "Generating Grounded Responses to Counter Misinformation via Learning Efficient Fine-Grained Critiques." In 34th International Joint Conference on Artificial Intelligence, IJCAI 2025 (AI4Tech), 2025.
- Qian, Zhen, Xiuzhen Zhang, Xiaofei Xu, and Feng Xia. "Teaching Large Language Models Number-Focused Headline Generation With Key Element Rationales." In Findings of the Association for Computational Linguistics: NAACL 2025, 2025.
- Li, Jun, Xiaofei Xu, Zhibing Sha, Xiaobai Chen, Jieming Yin, and Jianwei Liao. "CoupledCB: Eliminating Wasted Pages in Copyback-based Garbage Collection for SSDs." In 2025 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2025.
- Xu, Xiaofei, Ke Deng, Michael Dann, and Xiuzhen Zhang. "Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, 2024.
- Shao, Feng, Minzhi Zeng, Xiaofei Xu, Huahao Zhang, and Zuogang Peng. "FishTEDB 2.0: an update fish transposable element (TE) database with new functions to facilitate TE research." Database 2024 (2024): baae044.
- Xu, Xiaofei, Ke Deng, and Xiuzhen Zhang. "Identifying cost-effective debunkers for multi-stage fake news mitigation campaigns." In Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, pp. 1206-1214. 2022.
- Wang, Shoujin, Xiaofei Xu, Xiuzhen Zhang, Yan Wang, and Wenzhuo Song. "Veracity-aware and event-driven personalized news recommendation for fake news mitigation." In Proceedings of the ACM web conference 2022, pp. 3673-3684. 2022.
- Ruan, Yingfei, Xiaofei Xu, Qiang He, Li Li, Junrui Guo, Jialing Bao, Guoqing Pan, Tian Li, and Zeyang Zhou. "The largest meta-analysis on the global prevalence of microsporidia in mammals, avian and water provides insights into the epidemic features of these ubiquitous pathogens." Parasites & Vectors 14 (2021): 1-14.
- Xu, Xiaofei, Zhigang Cai, Jianwei Liao, and Yutaka Ishiakwa. "Frequent access pattern-based prefetching inside of solid-state drives." In 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 720-725. IEEE, 2020.
- 2021-2025, Ph.D. in Computer Science, RMIT University
- 2020-2020, Casual Lecturer, Chongqing College of Electronic Engineering
- 2017-2020, M.S. in Computer Science, Southwest University
- 2013-2017, B.Eng in Network Engineering, Southwest University
2024
2022
2021
2020
For full publication list, please visit Google Scholar.
Education & Experience¶
Contact¶
Email: xiaofei.xu [at] ieee.org / xiaofei.xu2 [at] rmit.edu.au
You can find me at 14-9-4, RMIT University City Campus
Last Updated: 04/05/2025
