About me

I am currently a Postdoctoral Research Associate at Carnegie Mellon University, working with Alexander G. Hauptmann. I achieved my Ph.D. degree in 2019 from University of Technology Sydney, advised by Prof. Yi Yang .

My research interests include deep learning, and its applications in various computer vision tasks, e.g. visual domain adapation, sementaic segmentation, video analysis, etc.

Latest news

Selected Publications

Contrastive Adaptation Network for Single- and Multi-Source Domain Adaptation
Guoliang Kang, Lu Jiang, Yunchao Wei, Yi Yang, Alexander G. Hauptmann
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
[Code] [Paper]

Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
Guoliang Kang, Yunchao Wei, Yi Yang, Yueting Zhuang, Alexander G. Hauptmann
Neural Information Processing Systems (NeurIPS), 2020 (oral)
[Code] [Paper]

Content-Consistent Matching for Domain Adaptive Semantic Segmentation
Guangrui Li*, Guoliang Kang*, Wu Liu, Yunchao Wei, Yi Yang (* equal contribution)
European Conference on Computer Vision (ECCV), 2020
[Code] [Paper]

Random Erasing Data Augmentation
Zhun Zhong, Liang Zheng, Guoliang Kang, Shaozi Li, Yi Yang
Association for the Advance of Artificial Intelligence (AAAI), 2020
[Code] [Paper]

Attract or Distract: Exploit the Margin of Open Set.
Qianyu Feng, Guoliang Kang, Hehe Fan, Yi Yang
International Conference on Computer Vision (ICCV), 2019
[Code] [Paper]

Asymptotic soft filter pruning for deep convolutional neural networks.
Yang He, Xuanyi Dong, Guoliang Kang, Yi Yang
IEEE transactions on cybernetics (TCYB), 2018
[Code] [Paper]

Deep Adversarial Attention Alignment forUnsupervised Domain Adaptation: the Benefit of Target Expectation Maximization.
Guoliang Kang, Liang Zheng, Yan Yan, Yi Yang
European Conference on Computer Vision (ECCV), 2018
[Paper]

Self-produced guidancefor weakly-supervised object localization.
Xiaolin Zhang, Yunchao Wei, Guoliang Kang, Yi Yang
European Conference on Computer Vision (ECCV), 2018
[Code] [Paper]

Soft filter pruning for accelerating deep convolutional neural networks.
Yang He, Guoliang Kang, Xuanyi Dong, Yi Yang
International Joint Conference on Artificial Intelligence (IJCAI), 2018
[Code] [Paper]

Shakeout: A New Approach to Regularized Deep Neural Network Training.
Guoliang Kang, Jun Li, Dacheng Tao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017
[Code] [Paper]

Selected Awards

  • TRECVID ActEV (Activities in Extended Videos) challenge 2019, 1st place.
  • CVPR ActivityNet 2020 Workshop, ActEV SDL task, 2nd place.
  • Academic Services

    Serve as a reviewer for multiple journals (TPAMI, TIP, IJCV, ML, TCSVT, PR, etc.) and conferences (CVPR, ICCV, NeurIPS, ICML, etc.)