Jianhua Yin
Decision Sciences · Purdue University West Lafayette
Publications
37
Citations
321
Est. group size
—
Recurring co-author estimate
Active years
30
Publishing since 1997
Jianhua Yin works on decision-making and control systems for autonomous and connected vehicles, including path planning, platoon control, and lane-change decisions under uncertainty. Their work also spans uncertainty quantification methods (using machine learning and surrogate models) applied to engineering systems such as vehicles, additive manufacturing, and aerospace CFD simulations. This research combines physics-based modeling with data-driven and deep learning techniques to improve reliability and safety in complex engineered systems.
Publication output has grown from zero in 2017-2018 to a steady pace of roughly 4-6 papers per year since 2021.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Prototypical Self-Training with Progress-Aware Update for Source-Free Domain Adaptation in Semantic Segmentation
2026
- A Physics and Data Co-Driven Approach for Heterogeneous Vehicle Platoon Control With Incomplete Dynamics
IEEE Transactions on Automation Science and Engineering · 2026
- A comprehensive multi-source uncertainty quantification method for RANS-CFD based on sparse multi-task deep active learning
Aerospace Science and Technology · 2025
- Automatic Lane Change Integrating Human Driving Experience Through a Two-Level Decision-Making Approach
IEEE Intelligent Transportation Systems Magazine · 2025
- Modeling of Longitudinal and Lateral Dynamics for Autonomous Vehicles by Physics-Informed Neural Networks
2025
- Vehicle State Estimation Based on Sparse Identification of Nonlinear Dynamics and Extended Kalman Filter
2025
- An Enhanced Model-based Approach for Short Text Clustering
arXiv (Cornell University) · 2025
- Low-Rank Optimal Transport for Robust Domain Adaptation
IEEE/CAA Journal of Automatica Sinica · 2024
- Top-Oil Temperature Prediction of Power Transformer Based on Long Short-Term Memory Neural Network with Self-Attention Mechanism Optimized by Improved Whale Optimization Algorithm
Symmetry · 2024
- Double Deep Q-Networks Based Game-Theoretic Equilibrium Control of Automated Vehicles at Autonomous Intersection
Automotive Innovation · 2024
- Uncertainty Quantification With Mixed Data by Hybrid Convolutional Neural Network for Additive Manufacturing
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering · 2024
- Power Transformer On-Load Capacity-Regulating Control and Optimization Based on Load Forecasting and Hesitant Fuzzy Control
Symmetry · 2024
- Research on HEV multi-agent control based on working condition recognition
2024
- Efficient Reliability-Based Path Planning of Off-Road Autonomous Ground Vehicles Through the Coupling of Surrogate Modeling and RRT*
IEEE Transactions on Intelligent Transportation Systems · 2023
- Reliable Global Path Planning of Off-Road Autonomous Ground Vehicles Under Uncertain Terrain Conditions
IEEE Transactions on Intelligent Vehicles · 2023
- IEEE Transactions on Intelligent Transportation Systems×3
- Journal of Mechanical Design×2
- Symmetry×2
- 網際網路技術學刊×2
- Structural Safety×1
- Hao Wu
Decision Sciences · Purdue University West Lafayette
- Chi Zhang
Decision Sciences · The Ohio State University
- Dongbin Xiu
Decision Sciences · The Ohio State University
- Abdollah Shafieezadeh
Decision Sciences · The Ohio State University
- Mrinal Kumar
Decision Sciences · 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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