Blender Scenes
Published:
A collection of scenes I made with Blender. Please feel free to view more by clicking the title.
Posts by Collection
portfolio
Geodesics
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Some geodesics
Neural Style Transfer
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Neural Style Transfer. Please feel free to view more by clicking the title.
Evolving landmarks with Thin-plate-spline deformation and an EP particle system
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Deforming between shapes
Real Time Face Swap
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Real time face swap. Please feel free to view more by clicking the title.
Sunsets
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Sunsets collections.jpg)
publications
A Conservative Formulation and a Numerical Algorithm for the Double-Gyre Nonlinear Shallow-Water Model
Published in Numerical Mathematics: Theory, Methods and Applications, 2015
This paper develops an algorithm for simulating a nonlinear shallow-water model.
Solitary Waves and N-Particle Algorithms for a Class of Euler–Poincaré Equations
Published in Studies in Applied Mathematics, 2016
This paper tries to extend Camassa-Holm equation in 2D case with a particle formulation. It received Highlights of the Year 2016 from the journal.
A Geodesic Landmark Shooting Algorithm for Template Matching and Its Applications
Published in SIAM J. Imaging Sci., 2016
This paper is about using the particle methods for feature extraction and some examples of utilizing it in the downstream cluster/classification task for shape outlines.
Characterization of Powder River Basin coal pyrolysis with cost-effective and environmentally friendly composite Na-Fe catalysts in a thermogravimetric analyzer and a fixed-bed reactor.
Published in International Journal of Hydrogen Energy, 2017
Recommended citation: Bang Xu, Dongyang Kuang, Fangjing Liu, Wenyang Lu, Alexander K.Goroncyc, Ting He, Khaled Gasem and Maohong Fan. Characterization of Powder River Basin coal pyrolysis with cost-effective and environmentally friendly composite Na-Fe catalysts in a thermogravimetric analyzer and a fixed-bed reactor International Journal of Hydrogen Energy.Volume 43, Issue 14, pp 6918-6935
A Landmark-based algorithm for automatic pattern recognition and abnormality detection.
Published in Pattern Recognition, 2018
This paper develops algorithms for constructing an “average” shape and some downstream applications based on landmark representations.
Predicting kinetic triplets using a 1d convolutional neural network.
Published in Thermochimica Acta, 2018
This paper develops an Covolutional Neural Network for the prediction of kinetic triplet.
Some Optional Methods of Activation Energy Determination on Pyrolysis
Published in Kinetics and Catalysis, 2019
Cycle-consistent training for Reducing Negative Jacobian Determinant in Deep Registration Networks
Published in Lecture Notes in Computer Sciences, Springer, 2019
This paper apply a cycle consistent training for reducing negative jacobian determinant when deep networks are used for unsupervised registration tasks.
FAIM – A ConvNet Method for Unsupervised 3D Medical Image Registration
Published in Lecture Notes in Computer Sciences, Springer, 2019
This paper develops a Covolutional Neural Network for 3D Medical Image Registration.
Kinetics and mechanism of $CO_2$ gasification of coal catalyzed by $Na_2CO_3$, $FeCO_3$ and $Na_2CO_3-FeCO_3$
Published in Journal of the Energy Institute, 2019
talks
A Bayesian method on landmark momentum data for abnormality detection
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Using posterier predictive distribution to find outliers in the data.
2B or not 2B
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This talk is about classifying different jet plane’s countour using extracted momenta features using a particle formulation.
Medical image registration with neural networks
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This talk is about using neural networks for the task of medical image registration/alignment.
Spectra Matching
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Some ideas for improving current Raman spectra matching algorithms presented in a industrial problems solving workshop held by NRC-CNRC and Fields Institute
Covnets_in_image_registration
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Convnets, a different view of approximating diffeomorphisms in medical image registration. ▶️ Watch the Video
MICCAI2019 - MLMI Workshop
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This talk is about Deep Learning based Medical Image Registration.
Paper: 📄FAIM - A ConvNet Method for Unsupervised 3D Medical Image Registration Code: GitHub Repository
MICCAI2019 - SASHIMI Workshop
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This talk is about Deep Learning based Medical Image Registration with cycle-consistent loss.
Paper: 📄Cycle-Consistent Training for Reducing Negative Jacobian Determinant in Deep Registration Networks
Code: GitHub Repository
ICMLC2025
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This talk is about proposing several points for improving qualitative analysis on deep learning based EEG emotion classification with noisy labels.
MICCAI2022 - MILLanD Workshop
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This talk is about EEG-based emotion classification using a monotonicity constrained attention module. The method is designed to work with limited EEG data, which is often a challenge in emotion recognition tasks.
Paper: 📄A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG Data
Code: GitHub Repository
MICCAI2022 - iMIMIC Workshop
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This talk is about EEG-based emotion classification using a kernel attention module. The method is designed to work with limited EEG data, which is often a challenge in emotion recognition tasks.
Paper: 📄KAM - A Kernel Attention Module for Emotion Classification with EEG Data
Code: GitHub Repository
ICMLC2026
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This talk is about the discussion of possible applications of causality analysis in deep learning based EEG emotion classification.
Harmonic Conference 2026
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This talk is about the discussion of mathematical concepts and theories such as Causal inference or graph theories and their contribution for better prediction in deep learning based EEG emotion classification.
teaching
Teaching @ UWYO
Undergraduate course, University of Wyoming, Math Department, 2012
From 2012 to 2016: Trigonometry & Algebra, Trigonometry, Calculus I
Teaching @ SUU, Fall 2016
Undergraduate course, Southern Utah University, Math Department, 2016
Intermediate Algebra, Trigonometry
Teaching @ SUU, Spring 2017
Undergraduate course, Southern Utah University, Department of Mathematics, 2017
Trigonometry and Algebra, Calculus I
Teaching @ UOttawa, 2017 - 2018
Undergraduate course, University of Ottawa, Department of Math & Stats, 2017
Calculus I and Mathematical Method I
Teaching @ UOttawa, 2018 - 2019
Undergraduate course, University of Ottawa, Department of Math & Stats, 2018
- Calculus I for Life Sciences
- Calculus II
Teaching @ SYSU, 2021 - current
Courses, Sun Yat-sen University, Department of Mathematics (Zhuhai), 2025
Here is a list of courses I have taught at Sun Yat-sen University: