Han Xiao
Dr. Han Xiao
Alumni
| E-Mail: | Han Xiao |
| now at Zalando, Data Scientist |
My research aims at employing geometry and optimization methodologies to analyze the vulnerability of learning algorithms in adversarial settings. The goal is to develop robust learning algorithms that are resilient to adversarial noise.
Also, I maintain an interest in graphical modeling approaches to text mining, information retrieval and computer vision.
>> go to my personal website for more info
Publications
| 2014 | Support Vector Machines under Adversarial Label Contamination
Journal of Neurocomputing, Special Issue on Advances in Learning with Label Noise |
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| 2013 | Online Lazy Gaussian Process Committee and its Application in Real-Time Trajectory Prediction
Information Sciences |
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| Efficient Online Sequence Prediction with Side Information
IEEE International Conference on Data Mining (ICDM) |
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| Lazy Gaussian Process Committee for Real-Time Online Regression
27th AAAI Conference on Artificial Intelligence (AAAI '13) |
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| Learning from Multiple Observers with Unknown Expertise
Proceedings of 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining |
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| OPARS: Objective Photo Aesthetics Ranking System
34th European Conference on Information Retrieval (ECIR'13) |
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| 2012 | Adversarial Label Flips Attack on Support Vector Machines
20th European Conference on Artificial Intelligence (ECAI) |
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| Evasion Attack of Multi-Class Linear Classifiers
Proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) |
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| 2011 | A Supervised Topic Transition Model for Detecting Malicious System Call Sequences
KDD Workshop on Knowledge Discovery, Modeling, and Simulation |
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| 2010 | Toward Artificial Synesthesia: Linking Images and Sounds via Words
NIPS Workshop on Machine Learning for Next Generation Computer Vision Challenges |
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| Efficient Collapsed Gibbs Sampling For Latent Dirichlet Allocation
Asian Conference on Machine Learning (ACML) |