Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Xiaofeng Liu, Ph.D.

Title
Institution
Department
Address
Phone
Profile Picture

Biography
Harvard University, BostonResearch Fellow08/2020Neural Networks
University of Chinese Academy of Sciences, ChinaPhD06/2019Mechatronic Eng.
Carnegie Mellon University, PittsburghJoint Supervision PhD01/2019Electrical and Computer Eng.
University of Science and Technology of China, ChinaB.A.06/2014Communication
University of Science and Technology of China, ChinaB.Eng.06/2014 Automation
2014 - 2019
National scholarship of PhD
2018
IBM Best Paper Award
2020
Travel Award

Overview
As an Instructor at Harvard and MGH, my recent works include hard-core deep learning, computer vision, pattern recognition, and their application on medical image analysis.

Bibliographic
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
Newest   |   Oldest   |   Most Cited   |   Most Discussed   |   Timeline   |   Field Summary   |   Plain Text
PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Yubin Ge, Ly Dinh, Xiaofeng Liu, Jinsong Su, Ziyao Lu, Ante Wang, Jana Diesner. BACO: A Background Knowledge- and Content-based Multi-perspective Framework for Citation Text Generation. 59th Annual Meeting of the Association for Computational Linguistics (ACL). 2021.
  2. Xiaofeng Liu, Chao Yang, Jane You, C.-C. Jay Kuo, B.V.K. Vijaya Kumar. Mutual Information Regularized Feature-level Frankenstein for Discriminative Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2021.
  3. Yubin Ge, Site Li, Xuyang Li, Fangfang Fan, Wanqing Xie, Jane You, Xiaofeng Liu. Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 2021. View Publication.
  4. Xiaofeng Liu, Fangxu Xing, Georges El Fakhri, Jonghye Woo. A Unified Conditional Disentanglement Framework for Multimodal Brain MR Image Translation. IEEE International Symposium on Biomedical Imaging (ISBI) 2021. 2021. View Publication.
  5. Xiaofeng Liu, Fangxu Xing, Jerry L. Prince, Aaron Carass, Maureen Stone, Georges El Fakhri, Jonghye Woo. Dual-cycle Constrained Bijective VAE-GAN For Tagged-to-Cine Magnetic Resonance Image Synthesis. IEEE International Symposium on Biomedical Imaging (ISBI) 2021. 2021. View Publication.
  6. Xiaofeng Liu, Linghao Jin, Xu Han, Jane You. Mutual Information Regularized Identity-aware Facial Expression Recognition in Compressed Video. Pattern Recognition. 2021. View Publication.
  7. Xiaofeng Liu, Fangxu Xing, Maureen Stone, Jiachen Zhuo, Reese Timothy, Jerry L. Prince, Georges El Fakhri, Jonghye Woo. Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis. MICCAI. 2021.
  8. Xiaofeng Liu. Recognition and Perception of Images. Disentanglement for discriminative visual recognition. 2021. View Publication.
  9. Xiaofeng Liu, Yuzhuo Han, Song Bai, Yi Ge, Tianxing Wang, Xu Han, Site Li, Jane You, Jun Lu. Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI). 2021. View Publication.
  10. Liu X, Xing F, Yang C, Jay Kuo CC, El Fakhri G, Woo J. Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology. Brainlesion. 2021; 12658:80-91. PMID: 34013242.
    Citations:    
  11. Xing F, Stone M, Prince JL, Liu X, Fakhri GE, Woo J. Floor-of-the-Mouth Muscle Function Analysis Using Dynamic Magnetic Resonance Imaging. Proc SPIE Int Soc Opt Eng. 2021 Feb; 11596. PMID: 34012189.
    Citations:    
  12. Xiaofeng Liu, Xiongchang Liu, Bo Hu, Wenxuan Ji, Fangxu Xing, Jun Lu, Jane You, C.C.-Jay Kuo, Georges El Fakhri, Jonghye Woo. Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI) 2021. 2021. View Publication.
  13. Tong Che*, Xiaofeng Liu*, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio, (* co-first). Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI) 2021. 2021. View Publication.
  14. Fangxu Xing, Riwei Jin, Imani Gilbert, Xiaofeng Liu, Georges El Fakhri, Jamie Perry, Bradley Sutton, Jonghye Woo. Temporal Frame Alignment for Speech Atlas Construction Using High Speed Dynamic MRI. Annual Meeting of International Society for Magnetic Resonance in Medicine (ISMRM). 2021.
  15. Xiaofeng Liu, Fangxu Xing, Chao Yang, C.-C. Jay Kuo, Suma Babu, Georges El Fakhri, Thomas Jenkins, Jonghye Woo. Successive Subspace Learning for ALS Disease Classification Using T2-weighted MRI. Annual Meeting of International Society for Magnetic Resonance in Medicine (ISMRM). 2021.
  16. Wang J, Liu X, Wang F, Zheng L, Gao F, Zhang H, Zhang X, Xie W, Wang B. Automated interpretation of congenital heart disease from multi-view echocardiograms. Med Image Anal. 2021 04; 69:101942. PMID: 33418465.
    Citations:    
  17. Fangxu Xing, Xiaofeng Liu, Suma Babu, Georges El Fakhri, Thomas Jenkins, Jonghye Woo. Global brain and tongue atrophy in ALS via deformation-based voxel analysis from T2-weighted structural MRI. 31st International Symposium on ALS/MND. 2020.
  18. Xiaofeng Liu, Linghao Jin, Xu Han, Jun Lu, Jane You, Lingsheng Kong. Identity-aware Facial Expression Recognition in Compressed Video. 25th International Conference on Pattern Recognition (ICPR 2020). 2020. View Publication.
  19. Xiaofeng Liu, Bo Hu, Xiongchang Liu, Jun Lu, Jane You, Lingsheng Kong. Energy-constrained Self-training for Unsupervised Domain Adaptation. 25th International Conference on Pattern Recognition (ICPR 2020). 2020. View Publication.
  20. Xiaofeng Liu, Tong Che, Yiqun Lu, Chao Yang, Site Li, Jane You. AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation. European Conference on Computer Vision (ECCV) 2020. 2020. View Publication.
  21. Xiaofeng Liu, Wenxuan Ji, Jane You, Georges El Fakhri, Jonghye Woo. Severity-aware semantic segmentation with reinforced wasserstein training. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020. 2020. View Publication.
  22. Xiaofeng Liu, Yimeng Zhang, Xiongchang Liu, Song Bai, Site Li, Jane You. Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems. 2020. View Publication.
  23. Xiaofeng Liu, Yunhong Lu, Xiongchang Liu, Song Bai, Site Li, Jane You. Wasserstein loss with alternative reinforcement learning for severity-aware semantic segmentation. IEEE Transactions on Intelligent Transportation Systems. 2020. View Publication.
  24. Gewen He*, Xiaofeng Liu*, Fangfang Fan, Jane You, (* co-first). Classification-aware semi-supervised domain adaptation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. 2020. View Publication.
  25. Gewen He*, Xiaofeng Liu*, Fangfang Fan, Jane You, (* co-first). Image2audio: Facilitating semi-supervised audio emotion recognition with facial expression image. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. 2020. View Publication.
  26. Yuzhuo Han*, Xiaofeng Liu*, Zhenfei Sheng, Yutao Ren, Xu Han, Jane You, Risheng Liu, Zhongxuan Luo, (* co-first). Wasserstein loss-based deep object detection. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. 2020. View Publication.
  27. Xiaofeng Liu, Fangfang Fan, Lingsheng Kong, Zhihui Diao, Wanqing Xie, Jun Lu, Jane You. Unimodal Regularized Neuron Stick-breaking for Ordinal Classification. Neurocomputing. 2020. View Publication.
  28. Xiaofeng Liu, Zhenhua Guo, Jane You, Kumar B.V.K. Dependency-aware Attention Control for Image Set-based Face Recognition. IEEE Transactions on Information Forensics & Security (T-IFS). 2020. View Publication.
  29. Chao Yang, Xiaofeng Liu, Qingming Tang, C-C Jay Kuo. Towards disentangled representations for human retargeting by multi-view learning. 2019. View Publication.
  30. International Conference on Computer Vision (ICCV). Conservative Wasserstein Training for Pose Estimation. Xiaofeng Liu, Yang Zou, Tong Che, Peng Ding, Ping Jia, Jane You, Kumar B.V.K. 2019. View Publication.
  31. Yang Zou, Zhiding Yu, Xiaofeng Liu*, Kumar B.V.K., Jinsong Wang, (*corresponding author). Confidence Regularized Self-Training. International Conference on Computer Vision (ICCV). 2019. View Publication.
  32. Xiaofeng Liu, Zhenhua Guo, Site Li, Lingsheng Kong, Jia Ping, Jane You, Kumar B.V.K. Permutation-invariant Feature Restructuring for Correlation-aware Image Set-based Recognition. International Conference on Computer Vision (ICCV). 2019. View Publication.
  33. Xiaofeng Liu, Xu Han, Yukai Qiao, Yi Ge, Site Li, Jun Lu. Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis. Proceedings of the International Conference on Computer Vision (ICCV) 2019 Workshops. 2019. View Publication.
  34. Xiaofeng Liu, Site Li, Lingsheng Kong, Wanqing Xie, Ping Jia, Jane You, B. V. K. Vijaya Kumar. Feature-level Frankenstein: Eliminating Variations for Discriminative Recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2019. View Publication.
  35. A kind of immersion panorama floating imaging system. 2019. View Publication.
  36. Three-dimensional display system, image processing method, device, equipment and storage medium. 2019. View Publication.
  37. Xiaofeng Liu. Research on the technology of deep learning based face image recognition. 2019. View Publication.
  38. Xiaofeng Liu, BVK Vijaya Kumar, Ping Jia, Jane You. Hard negative generation for identity-disentangled facial expression recognition. Pattern Recognition. 2019. View Publication.
  39. Zhihui Diao, Lingsheng Kong, Junliang Yan, Junda Guo, Xiaofeng Liu, Li Xuan, Lei Yu. Electrically tunable holographic waveguide display based on holographic polymer dispersed liquid crystal grating. Optics Letters. 2019. View Publication.
  40. Xiaofeng Liu, Zhenhua Guo, Jane You, Kumar B.V.K. Attention Control with Metric Learning Alignment for Image Set-based Recognition. IEEE Transactions on Information Forensics and Security. 2019. View Publication.
  41. Xiaofeng Liu, B. V. K. Vijaya Kumar, Chao Yang, Qingming Tang, Jane You. Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets. European Conference on Computer Vision (ECCV). 2018. View Publication.
  42. Xiaofeng Liu, Yang Zou, Lingsheng Kong, Zhihui Diao, Junliang Yan, Jun Wang, Site Li, Ping Jia, Jane You. Data Augmentation via Latent Space Interpolation for Image Classification. International Conference on Pattern Recognition (ICPR). 2018. View Publication.
  43. Xiaofeng Liu, Zhaofeng Li, Lingsheng Kong, Zhihui Diao, Junliang Yan, Yang Zou, Chao Yang, Ping Jia, Jane You. A joint optimization framework of low-dimensional projection and collaborative representation for discriminative classification. International Conference on Pattern Recognition (ICPR). 2018. View Publication.
  44. Chao Yang, Yuhang Song, Xiaofeng Liu, Qingming Tang, C-C Jay Kuo. Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpar. Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpar. 2018. View Publication.
  45. Yuhang Song, Chao Yang, Zhe Lin, Xiaofeng Liu, Qin Huang, Hao Li, C-C Jay Kuo. Contextual-based image inpainting: Infer, match, and translate. Proceedings of the European Conference on Computer Vision (ECCV). 2018. View Publication.
  46. Xiaofeng Liu, Yang Zou, Yuhang Song, Chao Yang, Jane You, BV K Vijaya Kumar. Ordinal regression with neuron stick-breaking for medical diagnosis. Proceedings of the European Conference on Computer Vision (ECCV) Workshops. 2018. View Publication.
  47. A kind of image suspension display device and 3D display device. 2018. View Publication.
  48. A kind of more sighting distance display systems for myopia. 2018. View Publication.
  49. A kind of immersion display device and VR equipment adapting to visual characteristic. 2018. View Publication.
  50. Xiaofeng Liu, Yubin Ge, Chao Yang, Ping Jia. Adaptive metric learning with deep neural networks for video-based facial expression recognition. Journal of Electronic Imaging. 2018. View Publication.
  51. Junliang Yan, Lingsheng Kong, Zhihui Diao, Xiaofeng Liu, Lilu Zhu, Ping Jia. Panoramic stereo imaging system for efficient mosaicking: parallax analyses and system design. Applied optics. 2018. View Publication.
  52. Xiaofeng Liu, BVK Vijaya Kumar, Yubin Ge, Chao Yang, Jane You, Ping Jia. Normalized face image generation with perceptron generative adversarial networks. IEEE International Conference on Identity, Security, and Behavior Analysis (ISBA). 2018. View Publication.
  53. Xiaofeng Liu, BVK Vijaya Kumar, Jane You, Ping Jia. Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. 2017. View Publication.
  54. Xiaofeng Liu, Lingsheng Kong, Zhihui Diao, Ping Jia. Line-scan system for continuous hand authentication. Optical Engineering. 2017. View Publication.
  55. Face registering method and device. 2016. View Publication.
  56. Three-dimensional posture recognition method and system. 2016. View Publication.
  57. Method and system for determining optimal layout of image collecting devices. 2016. View Publication.
Local representatives can answer questions about the Profiles website or help with editing a profile or issues with profile data. For assistance with this profile: HMS/HSDM faculty should contact contactcatalyst.harvard.edu. For faculty or fellow appointment updates and changes, please ask your appointing department to contact HMS. For fellow personal and demographic information, contact HMS Human Resources at human_resourceshms.harvard.edu. For faculty personal and demographic information, contact HMS Office for Faculty Affairs at facappthms.harvard.edu.
Liu's Networks
Click the
Explore
buttons for more information and interactive visualizations!
Co-Authors (3)
Explore
_
Same Department 
Explore
_
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.