Jianfeng Wang

PhD Candidate
Computer Science Department
University of Oxford, United Kingdom
Email: jianfeng.wang [at] cs.ox.ac.uk
[Github] [Linkedin] [School Page]

Biography

Jianfeng Wang is a PhD candidate in the computer science department at University of Oxford, supervised by Thomas Lukasiewicz . His research interests are in machine learning and computer vision. He received his B.Sc and M.Eng degrees both from Beijing University of Posts and Telecommunications, China, in 2013 and 2016, respectively.

Experiences

• Research Intern
          Applied Science Group
          Microsoft, United Kingdom
          January. 2022- October. 2022
• Computer Vision Researcher
          Artificial Intelligence Laboratory
          Lenovo, Beijing
          July. 2017- September. 2019
• Visiting Student, supervised by Prof. Xiaolin Hu
          State Key Laboratory of Intelligent Technology and Systems
          Department of Computer Science and Technology
          Tsinghua University, Beijing
          Oct. 2015 - May. 2017

Publications

• NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
        Jianfeng Wang , Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic and Thomas Lukasiewicz
        International Conference on Machine Learning (ICML), 2023
        [paper] [code]
• NP-Match: When Neural Processes meet Semi-Supervised Learning
        Jianfeng Wang , Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic and Alexandros Neophytou
        International Conference on Machine Learning (ICML), 2022
        [paper][code]
• Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation
        Jianfeng Wang and Thomas Lukasiewicz
        IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
        [paper][code]
• RSG: A Simple but Effective Module for Learning Imbalanced Datasets
        Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai and Zhenghua Xu
        IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
        [paper][code]
• Label distribution learning on auxiliary label space graphs for facial expression recognition
        Shikai Chen, Jianfeng Wang , Yuedong Chen, Zhongchao Shi, Xin Geng and Yong Rui
        IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
        [paper]
• Facial Motion Prior Networks for Facial Expression Recognition
        Yuedong Chen, Jianfeng Wang , Shikai Chen, Zhongchao Shi and Jianfei Cai
        IEEE International Conference on Visual Communications and Images (VCIP), 2019, oral
        [paper] [code]
• Convolutional Neural Networks with Gated Recurrent Connections
        Jianfeng Wang and Xiaolin Hu
        IEEE Trans on Pattern Analysis & Machine Intelligence (TPAMI), 2021
        [paper] [code]
• Gated Recurrent Convolution Neural Network for OCR
        Jianfeng Wang and Xiaolin Hu
        Proc. of Advances in Neural Information Processing Systems (NeurIPS), 2017
        [paper] [code]
• Incremental Weighted Bipartite Algorithm for Large-scale Recommendation Systems
        Haihong E, Jianfeng Wang, Meina Song, Qiang Bi and Yingyi Liu
        In Turkish Journal of Electrical Engineering & Computer Science, 2016
        [paper]