Felix Juefei Xu     

{ { { Deep Learning } Machine Learning } Artificial Intelligence } Researcher

Ph.D. in Electrical and Computer Engineering, Carnegie Mellon University

M.S. in Machine Learning, Carnegie Mellon University

M.S. in Electrical and Computer Engineering, Carnegie Mellon University

B.S. in Electronic Engineering, Shanghai Jiao Tong University

During his Ph.D. studies in CMU, Felix Juefei Xu (publish under F. Juefei-Xu) was working in a research group specializing in pattern recognition, machine learning, computer vision, and image processing, especially as applied to the field of biometrics, in Carnegie Mellon CyLab Biometrics Center under the supervision of Prof. Marios Savvides.

Email  /  CV  /  Bio  /  Google Scholar  /  GitHub  /  LinkedIn  /  Twitter  /  Photo

Research

Deep Learning, Computer Vision, Machine Learning, Face Recognition, Biometrics.

My current research is focused on a fuller understanding of deep learning where I am actively exploring new methods in deep learning that are statistically efficient and adversarially robust. Through these efforts, I am investigating under what conditions deep learning starts to work and under what conditions deep learning starts to fail. My Ph.D. work is primarily focused on tackling the Pose, Expression, Resolution, Illumination, and Occlusion (Perio) challenges for unconstrained periocular face recognition using both shallow and deep discriminative and generative methods, especially under the dome of self-supervised learning. I also have broader interests in pattern recognition, computer vision, machine learning, optimization, statistics, compressive sensing, and image processing.

I am the recipient of multiple best/distinguished paper awards, including the Best Poster Paper Award of the IEEE/IAPR International Joint Conference on Biometrics (IJCB) in 2011, the Best Paper Award of the IEEE Seventh International Conference on Biometrics: Theory, Applications and Systems (BTAS) in 2015, the Best Student Paper Award of the IEEE Eighth International Conference on Biometrics: Theory, Applications and Systems (BTAS) in 2016, the ACM SIGSOFT Distinguished Paper Award of the IEEE/ACM International Conference on Automated Software Engineering (ASE) in 2018, and the Best Student Paper Award of the 14th Asian Conference on Computer Vision (ACCV) in 2018.

New PNN Repository: https://github.com/juefeix/pnn.pytorch.update
Response on Reddit Regarding PNN Reproducibility: https://www.reddit.com/r/MachineLearning/comments/a04qsj/d_updates_on_perturbative_neural_networks_pnn
Research Highlights & Preprints
prl

Secure Deep Learning Engineering: A Software Quality Assurance Perspective
Lei Ma, Felix Juefei-Xu, Minhui Xue, Qiang Hu, Sen Chen, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See
arXiv Preprint, 2018
arxiv / bibtex


From a software quality assurance perspective, this work pinpoints challenges and future opportunities towards universal secure deep learning engineering.

prl

RankGAN: A Maximum Margin Ranking GAN for Generating Faces
Felix Juefei-Xu*, Rahul Dey*, Vishnu Naresh Boddeti, Marios Savvides
Asian Conference on Computer Vision (ACCV), 2018
[Oral Presentation][Best Student Paper Award]
supplementary / bibtex


Progressive training of multiple GAN stages with maximum margin ranking loss for generating faces with improved fidelity.

prl

Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer
Alvin Chan, Lei Ma, Felix Juefei-Xu, Xiaofei Xie, Yang Liu, Yew Soon Ong
arXiv Preprint, 2018
arxiv / bibtex


First adversarial attack on differentiable neural computer.

prl

Coverage-Guided Fuzzing for Deep Neural Networks
Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Hongxu Chen, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See
arXiv Preprint, 2018
arxiv / bibtex


An automated fuzz testing framework for hunting potential defects of general-purpose DNNs. It performs metamorphic mutation to generate new semantically preserved tests, and leverages multiple plugable coverage criteria as feedback to guide the test generation.

DeepMutation: Mutation Testing of Deep Learning Systems
Lei Ma, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Felix Juefei-Xu, Chao Xie, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang
IEEE International Symposium on Software Reliability Engineering (ISSRE), 2018
arxiv / bibtex


A mutation testing framework specialized for deep learning systems to measure the quality of test data.

DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems
Lei Ma, Felix Juefei-Xu, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Chunyang Chen, Ting Su, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang
ACM/IEEE International Conference on Automated Software Engineering (ASE), 2018
[ACM SIGSOFT Distinguished Paper Award]
arxiv / bibtex


A set of multi-granularity testing criteria for deep learning systems, which aims at rendering a multi-faceted portrayal of the testbed.

prl

Perturbative Neural Networks
Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
arxiv / project / bibtex


The new perturbation layer does away with convolution in the traditional sense and instead computes its response as a weighted linear combination of non-linearly activated additive noise perturbed inputs.

prl

Local Binary Convolutional Neural Networks
Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
[Spotlight Oral Presentation]
arxiv / project / bibtex


Convolutional neural network architecture with fixed randomized sparse binary convolutional kernels.

prl

Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking
Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
arXiv Preprint, 2017
arxiv / project / bibtex


A progressive training paradigm involving multiple GANs to contribute to the maximum margin ranking loss so that the GAN at later stages will improve upon early stages.

Dissertation

Unconstrained Periocular Face Recognition: From Reconstructive Dictionary Learning to Generative Deep Learning and Beyond
Felix Juefei-Xu
Advisor: Marios Savvides
Ph.D. Dissertation, Carnegie Mellon University, 2018
bibtex

Selected Publications [Google Scholar]
prl

Secure Deep Learning Engineering: A Software Quality Assurance Perspective
Lei Ma, Felix Juefei-Xu, Minhui Xue, Qiang Hu, Sen Chen, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See
arXiv Preprint, 2018
arxiv / bibtex

prl

RankGAN: A Maximum Margin Ranking GAN for Generating Faces
Felix Juefei-Xu*, Rahul Dey*, Vishnu Naresh Boddeti, Marios Savvides
Asian Conference on Computer Vision (ACCV), 2018
[Oral Presentation]
supplementary / bibtex

prl

Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer
Alvin Chan, Lei Ma, Felix Juefei-Xu, Xiaofei Xie, Yang Liu, Yew Soon Ong
arXiv Preprint, 2018
arxiv / bibtex

prl

Coverage-Guided Fuzzing for Deep Neural Networks
Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Hongxu Chen, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See
arXiv Preprint, 2018
arxiv / bibtex

DeepMutation: Mutation Testing of Deep Learning Systems
Lei Ma, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Felix Juefei-Xu, Chao Xie, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang
IEEE International Symposium on Software Reliability Engineering (ISSRE), 2018
arxiv / bibtex

DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems
Lei Ma, Felix Juefei-Xu, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Chunyang Chen, Ting Su, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang
ACM/IEEE International Conference on Automated Software Engineering (ASE), 2018
[ACM SIGSOFT Distinguished Paper Award]
arxiv / bibtex

prl

Perturbative Neural Networks
Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
arxiv / project / bibtex

prl

Local Binary Convolutional Neural Networks
Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
[Spotlight Oral Presentation]
arxiv / project / bibtex

DeepGender2: A Generative Approach Toward Occlusion and Low Resolution Robust Facial Gender Classification via Progressively Trained Attention Shift Convolutional Neural Networks (PTAS-CNN) and Deep Convolutional Generative Adversarial Networks (DCGAN)
Felix Juefei-Xu, Eshan Verma, Marios Savvides
Book Chapter, Deep Learning for Biometrics, Springer, 2017
bibtex

Learning to Invert Local Binary Patterns
Felix Juefei-Xu, Marios Savvides
British Machine Vision Conference (BMVC), 2016
bibtex

Fastfood Dictionary Learning for Periocular-Based Full Face Hallucination
Felix Juefei-Xu, Marios Savvides
IEEE 8th International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2016
[Oral Presentation][Best Student Paper Award]
bibtex

Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation
Dipan K. Pal, Felix Juefei-Xu, Marios Savvides
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
[Spotlight Oral Presentation]
slides / poster / bibtex

DeepGender: Occlusion and Low Resolution Robust Facial Gender Classification via Progressively Trained Convolutional Neural Networks with Attention
Felix Juefei-Xu*, Eshan Verma*, Parag Goel, Anisha Cherodian, Marios Savvides
Biometrics Workshop, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
[Oral Presentation]
slides / poster / bibtex

Multi-class Fukunaga Koontz Discriminant Analysis for Enhanced Face Recognition
Felix Juefei-Xu, Marios Savvides
Pattern Recognition, 2016
bibtex

Spartans: Single-sample Periocular-based Alignment-robust Recognition Technique Applied to Non-frontal Scenarios
Felix Juefei-Xu, Khoa Luu, Marios Savvides
IEEE Transactions on Image Processing (TIP), 2015
bibtex

Pokerface: Partial Order Keeping and Energy Repressing Method for Extreme Face Illumination Normalization
Felix Juefei-Xu, Marios Savvides
IEEE 7th International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2015
[Oral Presentation][Best Paper Award]
slides / bibtex

NIR-VIS Heterogeneous Face Recognition via Cross-Spectral Joint Dictionary Learning and Reconstruction
Felix Juefei-Xu, Dipan K. Pal, Marios Savvides
Perception Beyond the Visual Spectrum (PBVS) Workshop, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
bibtex

Driver Cell Phone Usage Detection on Strategic Highway Research Program (SHRP2) Face View Videos
Keshav Seshadri, Felix Juefei-Xu, Dipan K. Pal, Marios Savvides
Computer Vision in Vehicle Technology (CVVT) Workshop, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
bibtex

Electromyograph and Keystroke Dynamics for Spoof-Resistant Biometric Authentication
Shreyas Venugopalan*, Felix Juefei-Xu*, Benjamin Cowley, Marios Savvides
Biometrics Workshop, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
bibtex

A Preliminary Investigation on the Sensitivity of COTS Face Recognition Systems to Forensic Analyst-style Face Processing for Occlusions
Felix Juefei-Xu*, Dipan K. Pal*, Karanhaar Singh*, Marios Savvides
Biometrics Workshop, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
bibtex

Hallucinating the Full Face from the Periocular Region via Dimensionally Weighted K-SVD
Felix Juefei-Xu, Dipan K. Pal, Marios Savvides
Biometrics Workshop, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
bibtex

Subspace Based Discrete Transform Encoded Local Binary Patterns Representations for Robust Periocular Matching on NIST's Face Recognition Grand Challenge
Felix Juefei-Xu, Marios Savvides
IEEE Transactions on Image Processing (TIP), 2014
bibtex

An Image Statistics Approach towards Efficient and Robust Refinement for Landmarks on Facial Boundary
Felix Juefei-Xu, Marios Savvides
IEEE 6th International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2013
bibtex

An Augmented Linear Discriminant Analysis Approach for Identifying Identical Twins with the Aid of Facial Asymmetry Features
Felix Juefei-Xu, Marios Savvides
Biometrics Workshop, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
bibtex

Gait-ID on the Move: Pace Independent Human Identification Using Cell Phone Accelerometer Dynamics
Felix Juefei-Xu, Chandrasekhar Bhagavatula, Aaron Jaech, Unni Prasad, Marios Savvides
IEEE 5th International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2012
[Oral Presentation]
bibtex

Unconstrained Periocular Biometric Acquisition and Recognition Using COTS PTZ Camera for Uncooperative and Non-Cooperative Subjects
Felix Juefei-Xu, Marios Savvides
IEEE Workshop on the Applications of Computer Vision (WACV), 2012
bibtex

Investigating Age Invariant Face Recognition Based on Periocular Biometrics
Felix Juefei-Xu*, Khoa Luu*, Marios Savvides, Tien Bui, Ching Y. Suen
IEEE/IAPR International Joint Conference on Biometrics (IJCB), 2011
[Best Poster Paper Award]
bibtex

Miscellaneous
 

I like this page :-)