Qiuling Xu
Computer Science · Purdue University West Lafayette
Publications
18
Citations
358
Est. group size
~6
Recurring co-author estimate
Active years
7
Publishing since 2018
Qiuling Xu works in computer science at the intersection of machine learning security and reasoning, focusing on adversarial learning (understanding how machine learning systems can be attacked or fooled, and their theoretical limits), anomaly and malware detection, and combining neural networks with logical reasoning (a technique called abductive learning). This research is relevant to students interested in making AI systems more robust, secure, and interpretable.
Publication output rose from little activity before 2018 to a peak around 2020-2021, then gradually declined through 2023-2024.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- POSIT: Promotion of Semantic Item Tail via Adversarial Learning
arXiv (Cornell University) · 2023
- A Le Cam Type Bound for Adversarial Learning and Applications
2021
- Fundamental Limits of Adversarial Learning.
arXiv (Cornell University) · 2020
- A Le Cam Type Bound for Adversarial Learning and Applications
arXiv (Cornell University) · 2020
- Bridging Machine Learning and Logical Reasoning by Abductive Learning
Neural Information Processing Systems · 2019
- Tunneling Neural Perception and Logic Reasoning through Abductive Learning
arXiv (Cornell University) · 2018
- arXiv (Cornell University)×7
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)×2
- Proceedings of the AAAI Conference on Artificial Intelligence×2
- Neural Information Processing Systems×1
- 2022 IEEE Symposium on Security and Privacy (SP)×1
- Guangyu Shen
Computer Science · Purdue University West Lafayette
- Shengwei An
Computer Science · Purdue University West Lafayette
- Wenbo Guo
Computer Science · Purdue University West Lafayette
- Guanhong Tao
Computer Science · Indiana University
- Qi Alfred Chen
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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