Binghang Lu

Binghang Lu

Graduate Researcher, Purdue ECE — LLMs · Continual Learning · AI4S

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portfolio

publications

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

Published in World Scientific Research Journal, 2020

A YOLOv5-based real-time object detection system for recognizing mask-wearing behavior during the COVID-19 pandemic.

Recommended citation: 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.

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

Published in Journal of Computational Physics, 2025

A physics-informed DeepONet that learns the solution operator of multi-term time-fractional mixed diffusion–wave equations.

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

Published in Journal of Computational Physics, 2025

An iterative PINN–EnKF framework that couples physics-informed networks with ensemble Kalman filtering for robust parameter and state estimation under uncertainty.

Recommended citation: Lu, B., Mou, C., & Lin, G. (2025). "iPINNER: An iterative physics-informed neural network with ensemble Kalman filter." Journal of Computational Physics, 114592.
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Neural-POD: A Plug-and-Play Neural Operator Framework for Infinite-Dimensional Functional Nonlinear Proper Orthogonal Decomposition

Published in arXiv preprint, 2026

A plug-and-play neural operator framework for infinite-dimensional functional nonlinear POD, enabling efficient reduced-order modeling of complex PDE systems.

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

Published in arXiv preprint, 2026

Characterizes how chain-of-thought reasoning compounds safety failures in large reasoning models and proposes adaptive multi-principle steering as a mitigation.

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

Published in arXiv preprint, 2026

A spectral orthogonal-gradient-projection variant of the Muon optimizer that enables LLMs to acquire new tasks while preserving prior capabilities.

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

Published in Computer Methods in Applied Mechanics and Engineering (CMAME), 2026

Evolutionary multi-objective optimization combined with replica exchange for training physics-informed neural operator networks. Accepted by CMAME 2026.

Recommended citation: 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).
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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

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