What’s new

• 1. To serve as Senior Area Chair (SAC) for the 38th Conference on Neural Info. Pro. Systems (NeurIPS 2024)

  2. Paper "Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation" accepted by CVPR2024

  3. Serve as Senior Area Chair (SAC) for the 32nd ACM International Conference on Multimedia (ACMMM 2024)

  4. -------------------------------------------- 2023 ---------------------------------------------------------

  5. The paper "R2GenGPT: Radiology Report Generation with Frozen LLMs" is accepted by Meta-Radiology

  6. The paper "LibFewShot: A Comprehensive Library for Few-shot Learning" is accepted by IEEE TPAMI 

  7. Serve as Area Chair of International Conference on Learning Representations (ICLR 2024)

  8. Three papers on "Instance Image Retrieval" and "Semi-Supervised Learning" are accepted by ICCV 2023

  9. Paper "Radiology Report Generation by Learning with Increasingly Hard Negatives" accepted by ECAI 2023

  10. Serve as Senior Program Committee member (SPC) for the 38th AAAI Conference (AAAI 2024)

  11. Serve as Area Chair of IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2024)

  12. Serve as Area Chair of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

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

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

  15. -------------------------------------------- 2022 ---------------------------------------------------------

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

  32. -------------------------------------------- 2021  ---------------------------------------------------------

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

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

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

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

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

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

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

  40. -------------------------------------------- 2020  ---------------------------------------------------------

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

  56. -------------------------------------------- 2019  ---------------------------------------------------------

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

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

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

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

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

  62. Recognized as "Outstanding Reviewer" by ICCV2019 

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

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

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

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

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

  68. -------------------------------------------- 2018  ---------------------------------------------------------

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

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

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

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

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

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

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

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

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

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

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

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

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

About Me

Lei Wang earned his B.Eng and M.Eng degrees from Southeast University, China, in 1996 and 1999, respectively, followed by a Ph.D. from the School of EEE at Nanyang Technological University, Singapore, in 2004. He served as a research associate and research fellow at Nanyang Technological University from 2003 to 2005. Subsequently, he transitioned to the Department of Information Engineering, RSISE, at The Australian National University, where he worked as a postdoctoral researcher. In January 2007, Lei Wang was honoured with the Australian Postdoctoral Fellowship by the Australian Research Council, undertaking the role of APD research fellow from 2007 to 2009. In May 2009, he received the Early Career Researcher Award from the Australian Academy of Science and the Australian Research Council. In April 2011, he joined the School of Computing and Information Technology at the University of Wollongong. Presently, he serves as a professor and leads the VILA group (Visual Information Learning and Analysis).

His research spans the domains of computer vision, machine learning, and artificial intelligence. Within computer vision, he is currently focused on exploring the intersection of vision and language, conducting medical image analysis, and refining techniques for image retrieval. In the realms of machine learning and artificial intelligence, his attention is directed towards continual learning, reinforcement learning, and their practical applications in robotics. Additionally, he maintains a broad interest in various topics within pattern recognition and data analysis.