CV

Education

Ph.D in Version Control Theory, GitHub University, 2018 (expected)
M.S. in Jekyll, GitHub University, 2014
B.S. in GitHub, GitHub University, 2012

Work experience

Spring 2024: Academic Pages Collaborator
- GitHub University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
Fall 2015: Research Assistant
- GitHub University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
Summer 2015: Research Assistant
- GitHub University
- Duties included: Tagging issues
- Supervisor: Professor Git

Skills

Skill 1
Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
Skill 3

Publications

Morphy-Net: Evolutionary Multi-Objective Optimization for Replica-Exchange-Based Physics-Informed Neural Operator Learning Networks

Lu, B., Mou, C., & Lin, G. (2026). "Morphy-Net: Evolutionary Multi-Objective Optimization for Replica-Exchange-Based Physics-Informed Neural Operator Learning Networks." Computer Methods in Applied Mechanics and Engineering (accepted).

AdamFLIP: Adaptive Momentum Feedback Linearization Optimization for Hard Constrained PINN Training

Lu, B., Zhang, R., Mou, C., Li, N., & Lin, G. (2026). "AdamFLIP: Adaptive Momentum Feedback Linearization Optimization for Hard Constrained PINN Training." arXiv:2605.08408.

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning

Lu, B., Deng, Z., Zhang, R., Hu, B., Zhao, Y., Tian, Y., Mou, C., Lin, G., & Li, X. (2026). "Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning." arXiv:2605.08949.

Chain of Risk: Safety Failures in Large Reasoning Models and Mitigation via Adaptive Multi-Principle Steering

Li, X., Hou, J., Deng, Z., Zhang, Z., Li, T., Lu, B., Hu, B., Zhao, Y., & Hao, Y. (2026). "Chain of Risk: Safety Failures in Large Reasoning Models and Mitigation via Adaptive Multi-Principle Steering." arXiv:2605.05678.

Neural-POD: A Plug-and-Play Neural Operator Framework for Infinite-Dimensional Functional Nonlinear Proper Orthogonal Decomposition

Mou, C., Lu, B., & Lin, G. (2026). "Neural-POD: A Plug-and-Play Neural Operator Framework for Infinite-Dimensional Functional Nonlinear Proper Orthogonal Decomposition." arXiv:2602.15632.

Muon with Spectral Guidance: Efficient Optimization for Scientific Machine Learning

Lu, B., Zhang, J., & Lin, G. (2026). "Muon with Spectral Guidance: Efficient Optimization for Scientific Machine Learning." arXiv:2602.16167.

MoPINNEnKF / iPINNER: Iterative Physics-Informed Neural Network with Ensemble Kalman Filter

Lu, B., Mou, C., & Lin, G. (2025). "iPINNER: An iterative physics-informed neural network with ensemble Kalman filter." Journal of Computational Physics, 114592.

fPINN-DeepONet: A Physics-Informed Operator Learning Framework for Multi-Term Time-Fractional Mixed Diffusion–Wave Equations

Lu, B., Hao, Z.-P., Moya, C., & Lin, G. (2025). "fPINN-DeepONet: A physics-informed operator learning framework for multi-term time-fractional mixed diffusion–wave equations." Journal of Computational Physics, 538, 114184.

NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training

Lu, B., Moya, C., & Lin, G. (2023). "NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training." Algorithms, 16(4), 194.

Research on the Use of YOLOv5 Object Detection Algorithm in Mask Wearing Recognition

Liu, Y., Lu, B. H., Peng, J., & Zhang, Z. (2020). "Research on the use of YOLOv5 object detection algorithm in mask wearing recognition." World Scientific Research Journal, 6(11), 276–284.

Binghang Lu

CV