[UOW Scholar homepage] [Google Scholar Citations] [DBLP website] [ORCID website] [Semantic Scholar]
Paper "Diagnostic Captioning by Cooperative Task Interactions and Sample-graph Consistency" accepted by IEEE TPAMI
Paper "Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level..." accepted by CVPR2025
Visited Westmead Applied Research Centre and gave a talk on Radiology Report Generation (Slides)
To served as Senior Area Chair (SAC) for the 39th Conference on Neural Info. Pro. Systems (NeurIPS 2025)
To serve as Senior Area Chair (SAC) for the 33rd ACM International Conference on Multimedia (ACMMM 2025)
Paper "Attention-driven GUI Grounding: Leveraging Multimodal LLModels" accepted by AAAI2025
-------------------------------------------- 2024 ---------------------------------------------------------
My talk at 2024 International Conference on Intelligent Information Processing and Applications (Video)
The (inaugural) Sydney AI Meetup 2024 was successfully held at UTS (Website, Video)
Serve as Action Editor (AE) of Transactions on Machine Learning Research (TMLR)
Serve as Area Chair (AC) of IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2025)
Serve as Area Chair (AC) of International Conference on Learning Representations (ICLR 2025)
Paper "RoCo: Robust Collaborative Perception By Object Matching..." accepted by (ACMMM 2024, Oral)
Served as Senior Area Chair (SAC) for the 38th Conference on Neural Info. Pro. Systems (NeurIPS 2024)
Paper "Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation" accepted by CVPR2024
Serve as Senior Area Chair (SAC) for the 32nd ACM International Conference on Multimedia (ACMMM 2024)
-------------------------------------------- 2023 ---------------------------------------------------------
The paper "R2GenGPT: Radiology Report Generation with Frozen LLMs" is accepted by Meta-Radiology
The paper "LibFewShot: A Comprehensive Library for Few-shot Learning" is accepted by IEEE TPAMI
Serve as Area Chair of International Conference on Learning Representations (ICLR 2024)
Three papers on "Instance Image Retrieval" and "Semi-Supervised Learning" are accepted by ICCV 2023
Paper "Radiology Report Generation by Learning with Increasingly Hard Negatives" accepted by ECAI 2023
Serve as Senior Program Committee member (SPC) for the 38th AAAI Conference (AAAI 2024)
Serve as Area Chair of IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2024)
Serve as Area Chair of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023)
Two papers on "Learning partial correlation" and "Radiology report generation" are accepted by CVPR2023
Paper "Kernel-based Feature Aggregation Framework in Point Cloud Networks" is accepted by PR
-------------------------------------------- 2022 ---------------------------------------------------------
Paper of "Defensive Few-shot Learning" is accepted by IEEE TPAMI
Selected as "Outstanding Reviewer" by European Conference on Computer Vision ECCV2020
Paper on "A Multilayer Framework for Online Metric Learning" is accepted by IEEE TNNLS
Paper on "Domain Generalization by Joint-Product Distribution Alignment" is accepted by PR
Two papers on "Domain generalization" and "Semi-supervised learning" are accepted by NeurIPS2022
Two papers on "Semi-supervised Learning" and "Few-shot object detection" are accepted by ECCV2022
Paper "Semantic-Assisted Transformer for Radiographic Report Generation" is accepted by MICCAI2022
Paper "Mix-normalization for Generalizable Multi-source Person Re-Id" is accepted by IEEE TMM
Paper "ASMFS: Adaptive-Similarity-based Multi-modality Feature Selection" is accepted by PR
ACCV2022 website is now live! Paper submission deadline is July 6, 2022 (11:59PM Pacific Time)
Information on recruiting two PhD students (with full scholarships).
Paper "Diffusion Kernel Attention Network for Brain Disorder Classification" is accepted by IEEE TMI
Paper "Automated Radiographic Report Generation Purely on Transformer" is accepted by IEEE TMI
Paper "Kernelized Few-Shot Object Detection With Efficient Integral Aggregation" is accepted by CVPR2022
Paper "Addressing Mismatched Class Distribution in Semi-supervised Learning" is accepted by CVPR2022
Paper on "Label-Guided Self-Training for Semi-Supervised Learning" is accepted by AAAI2022 (Oral)
-------------------------------------------- 2021 ---------------------------------------------------------
Discovery Project "Making Meta-learning Generalised" is funded by Australian Research Council
Paper “Dataset-driven Unsupervised Object Discovery for Image Retrieval” is accepted by IEEE TPAMI
Two papers on few-shot image generation and person Re-ID are accepted by ICCV2021
Paper on " Adversarial Camera Alignment Network for Unsupervised Person Re-ID" is accetped by IEEE TCSVT
Paper on "Few-shot Unsupervised Domain Adaptation" is accepted by ACMMM2021
Two papers on "long-tailed image classification" and "medical report generation" are accepted by CVPR2021
Paper "Sample-Adaptive SA-LuT-Nets for Brain Tumor Segmentation" is accepted by IEEE TMI
-------------------------------------------- 2020 ---------------------------------------------------------
Paper "Visual Place Recognition: A Survey from Deep Learning Perspective" is accepted by PR
Paper “Beyond Covariance: SICE and Kernel based Visual Representation” is accepted by IJCV
Paper "ReDro: Learning Large-sized SPD Visual Representation" is accepted by ECCV2020
Paper on "Sample-adaptive Lookup Table for Tumor Segmentation" is accepted by MICCAI2020
Survey on "Deep Learning Based HEp-2 Image Classification" is accepted by Journal MedIA
Paper on "Discrepancy Model for EEG Emotion Recognition" is accepted by IEEE TCDS
Our Medical Imaging Synthesis research is reported by UOW Faculty EIS News.
Paper "On Similarity Preserving Feature Selection" listed as "Highly Cited Paper" by Web of Sci.
Paper "Asymmetric Distribution Measure for Few-shot Learning" is accepted by IJCAI 2020
Paper "Cross-camera Learning for Semi-supervised Person Re-ID" is accepted by IEEE TCSVT
Collaborative work with geographers to use Machine Learning to detect vegetation from UAV
Serve as Area Chair of International Conference on Image Processing (ICIP 2020)
Paper “Attention-Diffusion-Bilinear Network for Brain Analysis” is accepted by IEEE TMI
Paper “Sample-adaptive GANs for Cross-modality MR Image Synthesis" is accepted by IEEE TMI
IEEE TMI Paper “Ea-GANs for MR Image Synthesis” won Dolby Scientific Paper Competition
-------------------------------------------- 2019 ---------------------------------------------------------
Awarded NHMRC Ideas Grant on "The algorithm will see you now: ethical, legal and social..."
Awarded ARC DP20 on "Learning kernel-based high-order visual representation for image retrieval"
Appointed Associate Editor of Pattern Recognition journal published by Elsevier Science
Co-organise and present at tutorial "Second- and Higher-order Representations" in ICCV2019
Two papers "Person-ReID" and "Small Object Segmentation" are accepted by ICCV2019 (Code)
Recognized as "Outstanding Reviewer" by ICCV2019
Paper on “Diffusion-Convolution Network for Brain Analysis” is accepted by MICCAI2019
Paper “Image-to-Class Measure for Few-shot Learning” is accepted by CVPR2019
Paper “Ea-GANs for Cross-modality MR Image Synthesis” is accepted by IEEE TMI
Paper “Absent Multiple Kernel Learning Algorithms” is accepted by IEEE TPAMI
Paper “Multiple Kernel k-means with Incomplete Kernels” is accepted by IEEE TPAMI
-------------------------------------------- 2018 ---------------------------------------------------------
Successfully bid for 16th Asian Conference on Computer Vision (ACCV2022 in Macau)
Gave an invited talk in ACCV2018 workshop on Domain Adaptation & Few-shot Learning
Selected as “Distinguished Senior Program Committee Member” by IJCAI-ECAI 2018
Paper “3D Locality Adaptive GANs for PET synthesis” is accepted by IEEE TMI
Paper “Late Fusion Incomplete Multi-view Clustering” is accepted by IEEE TPAMI
Paper “Covariance Metric Networks for Few Shot Learning” is accepted by AAAI2019
Paper “Cross-region Matching based Image Retrieval” is accepted by IEEE TIP
Paper “Deep SPD Representation for Image Recognition” is accepted by ECCV2018
Paper “Modelling Diffusion for Image Retrieval” is accepted (spotlight) by BMVC2018
Paper “Locality Adaptive GANs for PET image Synthesis” is accepted by MICCAI2018
Paper “3D Conditional GANs for PET image Estimation” is accepted by NeuroImage
Paper “Image Retrieval by Sample-based Characteristics” is accepted (oral) by ACM ICMR18
Three papers (on feature selection, multi-modality, 3D cGANS, etc.) are accepted by ISBI2018
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.