Scholar
Lanyu Xu
Google Scholar ID: i2S3ohMAAAAJ
Oakland University
Citations & Impact
Citations
7,860
H-index
8
i10-index
8
Publications
20
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- - Awards:
- - NSF EAGER Award, 2025-2027 (Co-PI)
- - Oakland University University Research Committee award, 2025 (PI)
- - NSF CRII Award, 2023-2025 (PI)
- - NASA MSGC research seed grant, 2023-2024 (PI)
- - Oakland University University Research Committee award, 2023 (PI)
- - Publications:
- - Book: "Edge Computing: Systems and Applications", 2025
- - Pre-print: "A systematic review of research on large language models for computer programming education", 2025
- - Pre-print: "MultiSwin3D: A Swin Transformer-Based Multi-Task Model for 3D Medical Imaging", 2025
- - Pre-print: "Vision Transformers on the Edge: A Comprehensive Survey of Model Compression and Acceleration Strategies", 2025
- - Pre-print: "Panoptic Perception for Autonomous Driving: A Survey", 2024
- - Conference Papers:
- - "RepVal: A Skeleton-based Validation System for Functional Fitness Repetition on Edge Devices", 2025
- - "ARMBench: Benchmarking Adversarial Robustness of Multitask Perception in Autonomous Driving", 2025
- - "Adversarial Attacks and Defenses for Panoptic Perception Models in Autonomous Driving", 2025
- - "EfficientQuant: An Efficient Post-Training Quantization for CNN-Transformer Hybrid Models on Edge Devices", 2025
Research Experience
- - Position: Assistant Professor in the Department of Computer Science and Engineering at Oakland University
- - Lab: Edge Intelligent System Lab, focusing on resource-constrained hardware and computation-efficient software co-design, seeking the optimization of performance and efficiency for edge intelligent systems.
Education
- - Ph.D. in Computer Science from Wayne State University, supervised by Dr. Weisong Shi
- - B.S. in Computer Science from Tongji University
Background
- - Research Interests: Designing, analyzing, and implementing heterogeneous, efficient edge intelligent systems
- - Professional Field: Computer Science and Engineering
- - Brief Introduction: Currently an Assistant Professor in the Department of Computer Science and Engineering at Oakland University, dedicated to enabling intelligent technologies to be performed at the edge of the network.
Miscellany
- - Personal Interests: Not provided
