About Me


I am a continuing Lecturer at the Department of Computer Science and Information Technology, La Trobe University. Before that, I was a Machine Learning Research Fellow at Australian Institute for Machine Learning (AIML), The University of Adelaide. I got my PhD degree in Artificial Intelligence at Griffith University under the supervision of Prof Chunhua Shen and Prof Yongsheng Gao.

My research interests lie broadly in the field of computer vision and deep learning. My current research focuses on medical image learning in orthopaedic and ophthalmology, image-based / video-based object retrieval, (ultra) fine-grained image classification, pose estimation, landmark detection and generative 3D modelling. Emergent themes to my interest are AI for Agriculture and AI for health, primarily in hyperspectral imaging applications and AI for digital and computational pathology.

Open to interdisciplinary collaboration. Eligible to supervise Honors, Masters and Doctoral Students.

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Recent News


  • [Oct. 2024] One paper "MedDet: Generative Adversarial Distillation for Efficient Cervical Disc Herniation Detection" has been accepted to BIBM 2024 (Oral).
  • [July. 2024] One paper titled "Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion" has been accepted to BMVC 2024.
  • [May. 2024] One paper titled "FM-LiteLearn: A Lightweight Brain Tumor Classification Framework Integrating Image Fusion and Multi-Teacher Distillation Strategies" has been accepted to International Conference on AI in Healthcare (AIiH2024) (Oral).
  • [April. 2024] One paper titled "Artificial Intelligence to Automate Assessment of Ocular and Periocular Measurements" has been accepted to European Journal of Ophthalmology.
  • [Feb. 2024] One paper titled "A Landmark-based Approach for Instability Prediction in Distal Radius Fractures" has been accepted to IEEE ISBI 2024.
  • [Jan. 2024] One paper titled "Facial and Mandibular Landmark Tracking with Habitual Head Posture Estimation using Linear and Fiducial Markers" has been accepted to Healthcare Technology Letters.
  • [Jan. 2024] One paper titled "Self-Supervised Lie Algebra Representation Learning via Optimal Canonical Metric" has been accepted to IEEE TNNLS.
  • [Jan. 2024] One paper titled "Occluded Person Retrieval with Hierarchical Feature Optimization" has been accepted to IEEE FG2024 (Oral) (best reviewed papers).
  • [Aug. 2023] I joined CSIT, La Trobe University as a continuing Lecturer (Assistant Professor).
  • [Feb. 2023] One paper titled "Normal periocular anthropometric measurements in an Australian population" has been accepted to International Ophthalmology.
  • [Nov. 2022] One paper "Learning Deep Asymmetric Tolerant Part Representation" accepted in IEEE TAI.
  • [Oct. 2022] One paper "Mix-ViT: Mixing Attentive Vision Transformer for Ultra-Fine-Grained Visual Categorization" accepted in PR.
  • [Aug. 2022] One paper "Gait-Assisted Video Person Retrieval" accepted in IEEE TCSVT.
  • [Apr. 2022] One paper "SPARE: Self-Supervised Part Erasing for Ultra-Fine-Grained Visual Categorization" accepted in PR.
  • [Apr. 2022] One paper "RB-Net: Training Highly Accurate and Efficient Binary Neural Networks with Reshaped Point-wise Convolution and Balanced Activation" accepted in IEEE TCSVT.
  • [Feb. 2022] I joined AIML, The University of Adelaide as a Machine Learning Orthopaedic Research Fellow.
  • [Sept. 2021] One paper "EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation" accepted in DICTA 2021.
  • [Aug. 2021] One paper "Learning Discriminative Region Representation for Person Retrieval" accepted in PR.
  • [Jul. 2021] One paper "Benchmark Platform for Ultra-Fine-Grained Visual Categorization Beyond Human Performance" accepted in ICCV 2021.
  • [May. 2021] One paper "MaskCOV: A Random Mask Covariance Network for Ultra-Fine-Grained Visual Categorization" accepted in PR.
  • [Mar. 2021] One paper "Learning Deep Part-Aware Embedding for Person Retrieval" accepted in PR.
  • [Feb. 2020] One paper "Deep high-resolution representation learning for visual recognition" accepted in IEEE TPAMI.
  • [Nov. 2019] One paper "MobileFAN: transferring deep hidden representation for face alignment" accepted in PR.
  • [Nov. 2019] One paper "Patchy Image Structure Classification Using Multi-Orientation Region Transform" accepted in AAAI 2020.
  • [Apr. 2019] One paper "High-resolution representations for labeling pixels and regions" published in arXiv.
  • [Mar. 2018] I went to The University of Adelaide.
  • [Feb. 2018] I went to Griffith University.



Professional Activities


  • Journal Reviewer : IEEE Transactions on Multimedia (TMM), Pattern Recognition (PR), IEEE Journal of Biomedical and Health Informatics (J-BHI), IEEE Transactions on Artificial Intelligence (TAI), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

  • Conference Reviewer : Co-organizer of AIiH2024 Special Session, PC member of CASA 2024, CVPR2024, MICCAI2023, ECCV2022, CVPR 2022, AAAI 2022, ICCV 2021, CVPR 2021, IJCAI 2021, ICONIP 2020



Contact


  • Email: y.zhao2@latrobe.edu.au
  • Address: Office 319 | PS2 Building | La Trobe University, Bundoora VIC 3083, Australia


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