Biography

I joined Geometric Perception and Intelligence Research (Gorilla) Lab, in 2019. I am a Ph.D student supervised by Prof. Kui Jia. I received Master degree from Shenzhen University. I worked on hypespectral image processing (classification) with Prof. Sen Jia and Prof. Daming Shi. My current research focuses on out-of-distribution (OOD) generalization, robust pattern recognition, and adaptable machine learning. I am also a reviewer for many top conferences and journals, including ICML, NeurIPS, ICCV, TIP, TMLR, IEEE J-STARS, GRSL etc.

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Interests
  • Machine Learning
  • Pattern Recognition
  • Hyperspectral Image Processing
Education

  • PhD in Information and Communication Engineering, 2020 - Now

    South China University of Technology

  • MEng in Pattern Recognition and Intelligent System, 2015 - 2018

    ShenZhen University

  • Exchange Study, 2016.12 - 2017.02

    Kazan Federal University

  • BSc in Information and Computing Science, 2011 - 2015

    South China Agricultural University

Recent Publications

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Universal Domain Adaptation from Foundation Models
arVix, 2023
Bin Deng, Kui Jia
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Counterfactual Supervision-Based Information Bottleneck for Out-of-Distribution Generalization
Entropy, 2023
Bin Deng, Kui Jia
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On Universal Black-Box Domain Adaptation
arVix, 2021
Bin Deng, Yabin Zhang, Hui Tang, Changxing Ding, Kui Jia
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Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Yabin Zhang, Bin Deng, Hui Tang, Lei Zhang, Kui Jia
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Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice
Label Propagation with Augmented Anchors: A Simple Semi-supervised Learning Baseline for Unsupervised Domain Adaptation
European Conference on Computer Vision (ECCV), 2020
Yabin Zhang, Bin Deng, Kui Jia, Lei Zhang
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Label Propagation with Augmented Anchors: A Simple Semi-supervised Learning Baseline for Unsupervised Domain Adaptation
DETECT: A Deep Discriminative Clustering Baseline for Unsupervised and Universal Domain Adaptation
Technical Report, 2020-06-15
Bin Deng, Yabin Zhang, Kui Jia
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DETECT: A Deep Discriminative Clustering Baseline for Unsupervised and Universal Domain Adaptation
Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019
Bin Deng, Sen Jia, Daming Shi
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Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification
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Awards

Excellent Graduates
Shenzhen University Jun 2018
National Scholarship
Ministry of Education of the People’s Republic of China Oct 2017
Excellent Students of Guangdong Province for the 2017-2018 academic year (Graduate level)
Department of Education of Guangdong Province Sep 2017 – Jun 2018
Only 256 graduate students award in Guangdong province in the year 2018.

Experience

 
 
 
 
 
Research Assistant
South China University of Technology
May 2019 – Aug 2020 Guangzhou
Research direction to be domain adaptation
 
 
 
 
 
Research Assistant
Shenzhen University
Jul 2018 – May 2019 Shenzhen
Research direction to be hyperspectral image classification

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