What’s new

• 1. To serve as Area Chair of 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

  2. Two papers on "Learning partial correlation" and "Radiology report generation" are accepted by CVPR2023 

  3. Paper "Kernel-based Feature Aggregation Framework in Point Cloud Networks" is accepted by PR

  4. -------------------------------------------- 2022 ---------------------------------------------------------

  5. Paper of "Defensive Few-shot Learning" is accepted by IEEE TPAMI

  6. Selected as "Outstanding Reviewer" by European Conference on Computer Vision ECCV2020

  7. Paper on "A Multilayer Framework for Online Metric Learning" is accepted by IEEE TNNLS

  8. Paper on "Domain Generalization by Joint-Product Distribution Alignment" is accepted by PR

  9. Two papers on "Domain generalization" and "Semi-supervised learning" are accepted by  NeurIPS2022

  10. Two papers on "Semi-supervised Learning" and "Few-shot object detection" are accepted by  ECCV2022

  11. Paper "Semantic-Assisted Transformer for Radiographic Report Generation" is accepted by MICCAI2022 

  12. Paper "Mix-normalization for Generalizable Multi-source Person Re-Id" is accepted by IEEE TMM

  13. Paper "ASMFS: Adaptive-Similarity-based Multi-modality Feature Selection" is accepted by PR

  14. ACCV2022 website is now live! Paper submission deadline is July 6, 2022 (11:59PM Pacific Time)

  15. Information on recruiting two PhD students (with full scholarships).  

  16. Paper "Diffusion Kernel Attention Network for Brain Disorder Classification" is accepted by IEEE TMI 

  17. Paper "Automated Radiographic Report Generation Purely on Transformer" is accepted by IEEE TMI 

  18. Paper "Kernelized Few-Shot Object Detection With Efficient Integral Aggregation" is accepted by CVPR2022

  19. Paper "Addressing Mismatched Class Distribution in Semi-supervised Learning" is accepted by CVPR2022

  20. Paper on "Label-Guided Self-Training for Semi-Supervised Learning" is accepted by AAAI2022 (Oral) 

  21. -------------------------------------------- 2021  ---------------------------------------------------------

  22. Discovery Project "Making Meta-learning Generalised" is funded by Australian Research Council

  23. Paper “Dataset-driven Unsupervised Object Discovery for Image Retrieval” is accepted by IEEE TPAMI

  24. Two papers on few-shot image generation and person Re-ID are accepted by ICCV2021

  25. Paper on " Adversarial Camera Alignment Network for Unsupervised Person Re-ID" is accetped by IEEE TCSVT 

  26. Paper on "Few-shot Unsupervised Domain Adaptation" is accepted by ACMMM2021

  27. Two papers on "long-tailed image classification" and "medical report generation" are accepted by CVPR2021 

  28. Paper "Sample-Adaptive SA-LuT-Nets for Brain Tumor Segmentation" is accepted by IEEE TMI 

  29. -------------------------------------------- 2020  ---------------------------------------------------------

  30. Paper "Visual Place Recognition: A Survey from Deep Learning Perspective" is accepted by PR

  31. Paper “Beyond Covariance: SICE and Kernel based Visual Representation” is accepted by IJCV

  32. Paper "ReDro: Learning Large-sized SPD Visual Representation" is accepted by ECCV2020

  33. Paper on "Sample-adaptive Lookup Table for Tumor Segmentation" is accepted by MICCAI2020

  34. Survey on "Deep Learning Based HEp-2 Image Classification" is accepted by Journal MedIA 

  35. Paper on "Discrepancy Model for EEG Emotion Recognition" is accepted by IEEE TCDS

  36. Our Medical Imaging Synthesis research is reported by UOW Faculty EIS News. 

  37. Paper "On Similarity Preserving Feature Selection" listed as "Highly Cited Paper" by Web of Sci. 

  38. Paper "Asymmetric Distribution Measure for Few-shot Learning" is accepted by IJCAI 2020

  39. Paper "Cross-camera Learning for Semi-supervised Person Re-ID" is accepted by IEEE TCSVT

  40. Collaborative work with geographers to use Machine Learning to detect vegetation from UAV 

  41. Serve as Area Chair of International Conference on Image Processing (ICIP 2020) 

  42. Paper “Attention-Diffusion-Bilinear Network for Brain Analysis” is accepted by IEEE TMI

  43. Paper “Sample-adaptive GANs for Cross-modality MR Image Synthesis" is accepted by IEEE TMI

  44. IEEE TMI Paper “Ea-GANs for MR Image Synthesis” won Dolby Scientific Paper Competition 

  45. -------------------------------------------- 2019  ---------------------------------------------------------

  46. Awarded NHMRC Ideas Grant on "The algorithm will see you now: ethical, legal and social..."

  47. Awarded ARC DP20 on "Learning kernel-based high-order visual representation for image retrieval"  

  48. Appointed Associate Editor of Pattern Recognition journal published by Elsevier Science 

  49. Co-organise and present at tutorial "Second- and Higher-order Representations" in ICCV2019

  50. Two papers "Person-ReID" and "Small Object Segmentation" are accepted by ICCV2019 (Code)

  51. Recognized as "Outstanding Reviewer" by ICCV2019 

  52. Paper on “Diffusion-Convolution Network for Brain Analysis” is accepted by MICCAI2019

  53. Paper “Image-to-Class Measure for Few-shot Learning” is accepted by CVPR2019

  54. Paper “Ea-GANs for Cross-modality MR Image Synthesis” is accepted by IEEE TMI

  55. Paper “Absent Multiple Kernel Learning Algorithms” is accepted by IEEE TPAMI

  56. Paper “Multiple Kernel k-means with Incomplete Kernels” is accepted by IEEE TPAMI

  57. -------------------------------------------- 2018  ---------------------------------------------------------

  58. Successfully bid for 16th Asian Conference on Computer Vision (ACCV2022 in Macau)

  59. Gave an invited talk in ACCV2018 workshop on Domain Adaptation & Few-shot Learning

  60. Selected as “Distinguished Senior Program Committee Member” by IJCAI-ECAI 2018

  61. Paper “3D Locality Adaptive GANs for PET synthesis” is accepted by IEEE TMI

  62. Paper “Late Fusion Incomplete Multi-view Clustering” is accepted by IEEE TPAMI

  63. Paper “Covariance Metric Networks for Few Shot Learning” is accepted by AAAI2019

  64. Paper “Cross-region Matching based Image Retrieval” is accepted by IEEE TIP

  65. Paper “Deep SPD Representation for Image Recognition” is accepted by ECCV2018

  66. Paper “Modelling Diffusion for Image Retrieval” is accepted (spotlight) by BMVC2018

  67. Paper “Locality Adaptive GANs for PET image Synthesis” is accepted by MICCAI2018

  68. Paper “3D Conditional GANs for PET image Estimation” is accepted by NeuroImage

  69. Paper “Image Retrieval by Sample-based Characteristics” is accepted (oral) by ACM ICMR18

  70. Three papers (on feature selection, multi-modality, 3D cGANS, etc.) are accepted by ISBI2018

About Me

Dr. Lei Wang received the B.Eng and M.Eng from Southeast University, China in 1996 and 1999, respectively, and the Ph.D. from School of EEE in Nanyang Technological University, Singapore in 2004. He worked as research associate and research fellow in Nanyang Technological University from 2003 to 2005. After that, he joined the Department of Information Engineering, RSISE, The Australian National University as research fellow. In Jan 2007, he was awarded the Australian Postdoctoral Fellowship by the Australian Research Council and worked as APD research fellow from 2007 to 2009. In May 2009, he was awarded the Early Career Researcher Award by Australian Academy of Science and Australian Research Council. From Jan 2010, he works as Fellow in School of Engineering of the College of Engineering and Computer Science. Now he is associate professor of Faculty of Engineering and Information Sciences of University of Wollongong. He leads the group VILA (Visual Information Learning and Analysis). 

His research interest lies in machine learning, pattern recognition and computer vision. For machine learning and pattern recognition, he is interested in feature selection, model selection, and kernel-based learning methods. For computer vision, he is interested in content-based image retrieval and generic image categorisation. Besides, he has broad interest in the topics in the fields of pattern recognition and data analysis.