Baijian Yang
Computer Science · Purdue University West Lafayette
Publications
146
Citations
1,744
Est. group size
~8
Recurring co-author estimate
Active years
25
Publishing since 2002
Baijian Yang works on computer science topics spanning network and cybersecurity (including malware detection, intrusion detection, and IoT security), machine learning and neural network applications (such as model pruning, image classification, and visual localization), and cybersecurity education. Recent work also touches on applying vision-language models and generative models to tasks like remote sensing scene classification and industrial image inspection. This research combines applied security engineering with practical machine learning methods and educational innovation for teaching cybersecurity.
Publication output has remained fairly steady over the last decade, fluctuating between roughly 7 and 15 papers per year with no clear long-term upward or downward trend.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- WebAssembly Based Portable and Secure Sensor Interface for Internet of Things
arXiv (Cornell University) · 2026
- WebAssembly Based Portable and Secure Sensor Interface for Internet of Things
arXiv (Cornell University) · 2026
- CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers
Open MIND · 2026
- PatchFlow: Leveraging a Flow-Based Model with Patch Features
Open MIND · 2026
- CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers
ArXiv.org · 2026
- PatchFlow: Leveraging a Flow-Based Model with Patch Features
arXiv (Cornell University) · 2026
- Multimodal Remote Sensing Scene Classification Using VLMs and Dual-Cross Attention Networks
arXiv (Cornell University) · 2024
- Cybersecurity Education in the Age of Artificial Intelligence: A Novel Proactive and Collaborative Learning Paradigm
IEEE Transactions on Education · 2023
- Making Autonomous Stores Smarter (MASS): A Practical Solution to Improve Product Detection Performance Using Synthetic Dataset at Scale
2023
- PINet: Privileged Information Improve the Interpretablity and Generalization of Structural MRI in Alzheimer's Disease
Scholar Commons (University of South Carolina) · 2023
- A Triangulation-Based Visual Localization for Field Robots
IEEE/CAA Journal of Automatica Sinica · 2022
- Knowledge Science, Engineering and Management
Lecture notes in computer science · 2022
- Cybersecurity Education in the Age of Artificial Intelligence: A Novel Proactive and Collaborative Learning Paradigm
2022 IEEE Frontiers in Education Conference (FIE) · 2022
- SemiCon: A Semi-supervised Learning for Industrial Image Inspection
2022
- Knowledge Science, Engineering and Management
Lecture notes in computer science · 2022
- arXiv (Cornell University)×15
- Lecture notes in computer science×4
- bioRxiv (Cold Spring Harbor Laboratory)×3
- Research Square×3
- Scholar Commons (University of South Carolina)×3
- Haining Wang
Computer Science · Indiana University
- Xiaofeng Wang
Computer Science · Indiana University
- Eugene H. Spafford
Computer Science · Purdue University West Lafayette
- Sagar Samtani
Computer Science · Indiana University
- Z. Berkay Celik
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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