Wei Zhou
Computer Science · Purdue University West Lafayette
Publications
19
Citations
160
Est. group size
—
Recurring co-author estimate
Active years
18
Publishing since 2009
Wei Zhou's publication record spans several distinct areas, including video-based traffic accident and pedestrian-behavior detection, machine learning robustness (adversarial attacks and concept drift), image-related techniques like steganography, and unrelated topics such as workplace health and language teaching. The work draws on computer vision and machine learning methods applied to transportation safety and image/video analysis. Because the topics vary widely across years, it is unclear whether this record reflects a single consistent research program or multiple contributors with the same name.
Publication output has been sporadic over the last decade, with several gap years followed by a recent increase in 2024-2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Prevalence and risk factors of work-related musculoskeletal disorders among older hospital cleaners in Wenzhou, China
Frontiers in Public Health · 2025
- Incorporating multi-path risk assessment in transformer-based pedestrian crossing action prediction
Accident Analysis & Prevention · 2025
- Proxy-Embedding as an Adversarial Teacher: An Embedding-Guided Bidirectional Attack for Referring Expression Segmentation Models
arXiv (Cornell University) · 2025
- Reforming ESP Teaching in Materials Science and Engineering: Current Status, Challenges, and Strategic Pathways
Journal of Higher Education Research · 2025
- Concept drift adaptation with scarce labels: A novel approach based on diffusion and adversarial learning
Engineering Applications of Artificial Intelligence · 2024
- Generative Steganography Based on Dual-Branch Flow
Lecture notes in computer science · 2024
- A Vision-Based Video Crash Detection Framework for Mixed Traffic Flow Environment Considering Low-Visibility Condition
Journal of Advanced Transportation · 2020
- A New Video-Based Crash Detection Method: Balancing Speed and Accuracy Using a Feature Fusion Deep Learning Framework
Journal of Advanced Transportation · 2020
- Histogram of Oriented Gradients Feature Extraction Without Normalization
2020
- Combining Observations From a Low-Cost Sensor Ensemble with Machine Learning Techniques to Predict Real-Time Measurements of Criteria Atmospheric Pollutants
AGU Fall Meeting Abstracts · 2018
- Journal of Advanced Transportation×2
- Lecture notes in computer science×2
- Frontiers in Public Health×1
- Engineering Applications of Artificial Intelligence×1
- Accident Analysis & Prevention×1
- Cheng-Yun Yang
Computer Science · Purdue University West Lafayette
- Pingping Zhang
Computer Science · The Ohio State University
- Xiao Wang
Computer Science · Purdue University West Lafayette
- Yuqi Han
Computer Science · Indiana University
- James W. Davis
Computer Science · The Ohio State University
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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