Shuo Han
Computer Science · Purdue University West Lafayette
Publications
29
Citations
377
Est. group size
—
Recurring co-author estimate
Active years
13
Publishing since 2014
Shuo Han's work applies machine learning and deep learning methods to a range of image analysis and sensing problems, including medical image segmentation, histopathology-based cancer detection, infrared/visible image translation, activity recognition from sensors, and infrastructure monitoring such as power line fault detection and bridge vehicle load identification. The research combines neural network model design (e.g., transformers, GANs, YOLO-based detectors) with applied engineering and biomedical imaging tasks.
Publication output has fluctuated over the past decade with a peak around 2019, a dip in 2022-2023, and a modest resurgence in 2024-2025, averaging about 2.2 papers per year over the last five years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Separate Reverse: A Gradient-Conflict-Free Training Framework for Multi-Exit Transformers
Web Intelligence · 2026
- Towards human-AI collaboration system for the detection of invasive ductal carcinoma in histopathology images
Human-Intelligent Systems Integration · 2025
- Towards Human-AI Collaboration System for the Detection of Invasive Ductal Carcinoma in Histopathology Images
arXiv (Cornell University) · 2025
- An algorithm for power transmission line fault detection based on improved YOLOv4 model
Scientific Reports · 2024
- Adaptive optimization strategy and evaluation of vehicle-road collaborative perception algorithm in real-time settings
Computers & Electrical Engineering · 2024
- TransImg: A Translation Algorithm of Visible-to-Infrared Image Based on Generative Adversarial Network
International Journal of Computational Intelligence Systems · 2024
- Research on Indirect Influence-Line Identification Methods in the Dynamic Response of Vehicles Crossing Bridges
Applied Sciences · 2024
- 3D Medical Image Segmentation based on multi-scale MPU-Net
arXiv (Cornell University) · 2023
- A Transferred Daily Activity Recognition Method Based on Sensor Sequences
Neural Processing Letters · 2022
- Variational Automatic Channel Pruning Algorithm Based on Structure Optimization for Convolutional Neural Networks
網際網路技術學刊 · 2021
- Recognition of Daily Activities of Two Residents in a Smart Home Based on Time Clustering
Sensors · 2020
- FLUORESCENCE MICROSCOPY IMAGES SEGMENTATION AND ANALYSIS USING MACHINE LEARNING
Purdue e-Pubs (Purdue University System) · 2020
- arXiv (Cornell University)×5
- Scientific Reports×2
- Sensors×1
- Computers & Electrical Engineering×1
- International Journal of Computational Intelligence Systems×1
- Alain Chen
Computer Science · Purdue University West Lafayette
- Yashvardhan Jain
Computer Science · Indiana University
- Sripad Joshi
Computer Science · Indiana University
- Muhammad Khalid Khan Niazi
Computer Science · The Ohio State University
- Abdul Akbar
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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