Welcome to Haifeng's Homepage
Department of Computer Science, Tulane University
6823 St. Charles Avenue, New Orleans, LA, 70118
Email: hxia [at] tulane [dot] edu, haifengx [at] google [dot] com
Github     Google Scholar

About Me

My name is Haifeng Xia. I am a fourth-year Ph.D student with the Department of Computer Science at Tulane University, advised by Prof. Zhengming Ding. My research interests are Computer Vision and Machine Learning, especially for Transfer Learning and Federated Learning. Before joining Tulane, I worked as a research assistant at Purdue University (Indianapolis). Moreover, I obtained my master degree from Sun Yat-sen University (SYSU) in 2019, where I worked on Computer Vision and Pattern Recognition advised by Prof. Guocan Feng.

Recent News

  • [2023/01] I will serve on the Program Committee (PC) for IJCAI 2023 and ICML 2023.
  • [2022/09] I will work at Google Research as intern.
  • [2022/07] We have two papers accepted by ECCV 2022.
  • [2022/05] I will start my research internship at NEC Lab.
  • [2022/05] Our work on Transfer Learning is accepted by IEEE TPAMI.
  • [2022/04] One work on WIFI sensing is accepted by IJCAI 2022.
  • [2021/12] One work on domain adaptation is accepted by AAAI 2022.
  • [2021/09] I will start my first research internship at MERL.

Intern Experiences

  • Google   Research Intern   09/2022-04/2023   Topic: Machine Translation
  • NEC Lab   Research Intern   05/2022-08/2022   Topic: Few-Shot Video Action Recognition
  • MERL   Research Intern   09/2021-01/2022   Topic: WIFI-Sensing Project
  • Publications

    [1] Taotao Jing, Haifeng Xia, Renran Tian, Haoran Ding, Xiao Luo, Joshua Domeyer, Rini Sherony, and Zhengming Ding. InAction: Interpretable Action Decision Making for Autonomous Driving. ECCV 2022.
    [2] Haifeng Xia, Pu Wang, and Zhengming Ding. Incomplete Multi-view Domain Adaptation via Channel Enhancement and Knowledge Transfer. European Conference on Computer Vision (ECCV), 2022.
    [3] Haifeng Xia, Taotao Jing, and Zhengming Ding. Maximum Structural Generation Discrepancy for Unsupervised Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence. DOI: 10.1109/TPAMI.2022.3174526.
    [4] Taotao Jing, Haifeng Xia, Jihun Hamm and Zhengming Ding. Augmented Multi-Modality Fusion for Generalized Zero-Shot Sketch-based Visual Retrieval. IEEE Transactions on Image Processing, Volume: 31, Page(s): 3657 - 3668, 2022.
    [5] Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip Orlik, and Zhengming Ding. Adversarial Bi-Regressor Network for Domain Adaptive Regression. International Joint Conference on Artificial Intelligence (IJCAI), 2022: 3608-3614.
    [6] Haifeng Xia and Zhengming Ding. Cross-Domain Collaborative Normalization via Structural Knowledge. The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022: 36(3), 2777-2785.
    [7] Haifeng Xia, Handong Zhao and Zhengming Ding. Adaptive Adversarial Network for Source-free Domain Adaptation. International Conference on Computer Vision (ICCV), 2021: 9010-9019.
    [8] Haifeng Xia, Taotao Jing, Chen Chen, and Zhengming Ding. Semi-supervised Domain Adaptive Retrieval via Discriminative Hashing Learning. ACM International Conference on Multimedia (ACM MM), 2021: 3853-3861.
    [9] Haifeng Xia and Zhengming Ding. HGNet: Hybrid Generative Network for Zero-shot Domain Adaptation. European Conference on Computer Vision (ECCV), 2020: 55-70.
    [10] Haifeng Xia and Zhengming Ding. Structure-Preserving Generative Cross-Domain Learning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020: 4364-4373.
    [11] Taotao Jing, Haifeng Xia and Zhengming Ding. Adaptively Accumulated Knowledge Transfer for Partial Domain Adaptation. ACM International Conference on Multimedia (ACM MM), 2020: 1606-1614.
    [12] Guanglei Yang, Haifeng Xia, Mingli Ding and Zhengming Ding. Bi-Directional Generation for Unsupervised Domain Adaptation. The Thirty-fourth AAAI Conference on Artificial Intelligence (AAAI), 2020, 34(04): 6615-6622.


    • Travel Fellowship for attending ACM MM 2021, ACM SIGMM.
    • Travel Fellowship for attending CVPR 2020, Purdue University.
    • National Graduate Scholarship (China) (Rate:1/128), 2018.
    • First-class Scholarship, SYSU, 2016-2019.
    • The Second Prize for National Graduate Mathematical Modeling Contest(China), 2017.
    • Outstanding Student, HZAU (Rate:10/7000), 2015.
    • National Encouragement Scholarship (China), 2015.
    • Merit Student, Excellent League Member, HZAU, 2012-2016.
    • Excellent Student Cadre, Advanced Individual of Social Work, HZAU, 2014.

    Professonal Activities

    • Jounral Reviewer:
    • IEEE Transactions on Image Processing (TIP), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Internet of Things Journal, IEEE Sensors Journal, IEEE Computational Intelligence Magazine (CIM), Neurocomputing, ACM Transactions on Multimedia Computing Communications and Applications (TOMM), Information Processing and Management (IPM), Information Science (INS), Journal of Electronic Imaging (JEI), IET Image Processing, BMC Medical Informatics and Decision Making.
    • Conference Reviewer:
    • CVPR (2021-2023), ICCV (2021), ECCV (2022), AAAI (2021-2023),
      NeurIPS (2021-2022), ICLR (2021-2022), ICML (2021-2023).