PhD in Computer Science and Engineering
The Chinese University of Hong Kong, 2019
Cross-Domain Recommendation via Progressive Structural Alignment
Article
Exploiting Hierarchical Interactions for Protein Surface Learning
Article
Article
Article
Article
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints
Article
Video-based face outline recognition
Article
Conference paper
C2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction
Conference paper
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models
Conference paper
Conference paper
Holistic Autonomous Driving Understanding by Bird’s-Eye-View Injected Multi-Modal Large Models
Conference paper
M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection
Conference paper
Conference paper
Article
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation
Article
Article
Article
Dynamic Subcluster-Aware Network for Few-Shot Skin Disease Classification
Article
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation
Article
Article
Article
Less is More: Surgical Phase Recognition from Timestamp Supervision
Article
The Liver Tumor Segmentation Benchmark (LiTS)
Article
Rare disease classification via difficulty-aware meta learning
Book chapter
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval
Conference paper
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
Conference paper
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation
Conference paper
Conference paper
Dynamic Data Augmentation via Monte-Carlo Tree Search for Prostate MRI Segmentation
Conference paper
Conference paper
Conference paper
Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images
Conference paper
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation
Conference paper
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation
Conference paper
Improved understanding of photochemical processing of DOM using machine learning approaches
Conference paper
Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
Conference paper
Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping
Conference paper
Conference paper
SEDSkill: Surgical Events Driven Method for Skill Assessment from Thoracoscopic Surgical Videos
Conference paper
Conference paper
Conference paper
Towards Distribution-Agnostic Generalized Category Discovery
Conference paper
Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
Conference paper
Article
Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment
Article
CoCycleReg: Collaborative cycle-consistency method for multi-modal medical image registration
Article
Exploring Language Hierarchy for Video Grounding
Article
Exploring Segment-Level Semantics for Online Phase Recognition From Surgical Videos
Article
Leveraging data-driven self-consistency for high-fidelity gene expression recovery
Article
Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis
Article
Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation
Conference paper
Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation
Conference paper
Free Lunch for Surgical Video Understanding by Distilling Self-supervisions
Conference paper
Learning Shadow Correspondence for Video Shadow Detection
Conference paper
Online Easy Example Mining for Weakly-Supervised Gland Segmentation from Histology Images
Conference paper
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
Conference paper
Conference paper
Conference paper
Conference paper
A rapid screening classifier for diagnosing COVID-19
Article
Artificial intelligence in image-guided radiotherapy: A review of treatment target localization
Article
Deep learning-augmented radioluminescence imaging for radiotherapy dose verification
Article
Deep learning-augmented radiotherapy visualization with a cylindrical radioluminescence system
Article
Article
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images
Article
Global guidance network for breast lesion segmentation in ultrasound images
Article
Metal artifact reduction in 2D CT images with self-supervised cross-domain learning
Article
Rotation-Oriented Collaborative Self-supervised Learning for Retinal Disease Diagnosis
Article
Transformation-consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation
Article
Improved Heatmap-Based Landmark Detection
Conference paper
Support-Set Based Cross-Supervision for Video Grounding
Conference paper
Article
Deep Sub-region Network for Salient Object Detection
Article
Revisiting metric learning for few-shot image classification
Article
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis
Article
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation
Conference paper
Difficulty-aware meta-learning for rare disease diagnosis
Conference paper
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model
Conference paper
Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
Conference paper
Article
Feature-preserving ultrasound speckle reduction via L0 minimization
Article
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Article
Deeply supervised rotation equivariant network for lesion segmentation in dermoscopy images
Conference paper
Ultrasound speckle reduction via L0 minimization
Conference paper
Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation
Conference paper
Cross-Domain Recommendation via Progressive Structural Alignment
Exploiting Hierarchical Interactions for Protein Surface Learning
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints
C2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models
Holistic Autonomous Driving Understanding by Bird’s-Eye-View Injected Multi-Modal Large Models
M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation
Dynamic Subcluster-Aware Network for Few-Shot Skin Disease Classification
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation
Less is More: Surgical Phase Recognition from Timestamp Supervision
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation
Dynamic Data Augmentation via Monte-Carlo Tree Search for Prostate MRI Segmentation
Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation
Improved understanding of photochemical processing of DOM using machine learning approaches
Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping
SEDSkill: Surgical Events Driven Method for Skill Assessment from Thoracoscopic Surgical Videos
Towards Distribution-Agnostic Generalized Category Discovery
Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment
CoCycleReg: Collaborative cycle-consistency method for multi-modal medical image registration
Exploring Segment-Level Semantics for Online Phase Recognition From Surgical Videos
Leveraging data-driven self-consistency for high-fidelity gene expression recovery
Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis
Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation
Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation
Free Lunch for Surgical Video Understanding by Distilling Self-supervisions
Online Easy Example Mining for Weakly-Supervised Gland Segmentation from Histology Images
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
Artificial intelligence in image-guided radiotherapy: A review of treatment target localization
Deep learning-augmented radioluminescence imaging for radiotherapy dose verification
Deep learning-augmented radiotherapy visualization with a cylindrical radioluminescence system
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images
Global guidance network for breast lesion segmentation in ultrasound images
Metal artifact reduction in 2D CT images with self-supervised cross-domain learning
Rotation-Oriented Collaborative Self-supervised Learning for Retinal Disease Diagnosis
Transformation-consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model
Conference paper
Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
Conference paper
Article
Feature-preserving ultrasound speckle reduction via L0 minimization
Article
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Article
Deeply supervised rotation equivariant network for lesion segmentation in dermoscopy images
Conference paper
Ultrasound speckle reduction via L0 minimization
Conference paper
Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation
Conference paper
ELEC5690 | Advanced Topics in Artificial Intelligence for Medical Image Analysis |
UROP1100N | Undergraduate Research Opportunities Series 1 |
UROP1000 | Undergraduate Research Opportunities |
UROP1100M | Undergraduate Research Opportunities Series 1 |
CPEG4911 | Computer Engineering Final Year Project in ELEC |
ELEC4840 | Artificial Intelligence for Medical Image Analysis |
ELEC4900 | Final Year Design Project |
COMP4971A | Independent Work |
ELEC6910X | Advanced Topics in AI and Healthcare |
UROP1100K | Undergraduate Research Opportunities Series 1 |
UROP4100K | Undergraduate Research Opportunities Series 4 |
COMP4971A | Independent Work |
UROP1000 | Undergraduate Research Opportunities |
UROP1100J | Undergraduate Research Opportunities Series 1 |
UROP4100J | Undergraduate Research Opportunities Series 4 |
No Teaching Assignments |
LI, Ningshu
Electronic and Computer Engineering
SONG, Shanshan
Electronic and Computer Engineering
YANG, Honglong
Electronic and Computer Engineering
CHEN, Jixiang
Electronic and Computer Engineering
ELBATEL, Marawan Kefah Fathi Mohamed
Electronic and Computer Engineering
GUO, Jiarong
Electronic and Computer Engineering
HUAI, Zheang
Electronic and Computer Engineering
QIN, Yi
Electronic and Computer Engineering
WANG, Haonan
Electronic and Computer Engineering
WANG, Lehan
Electronic and Computer Engineering
ZHANG, Qixiang
Electronic and Computer Engineering
ZHAO, Chuang
Electronic and Computer Engineering
DU, Yao
Electronic and Computer Engineering
LI, Yi
Electronic and Computer Engineering
WANG, Hualiang
Electronic and Computer Engineering
XIANG, Tianqi
Electronic and Computer Engineering
XU, Xinyue
Electronic and Computer Engineering
YANG, Jiewen
Electronic and Computer Engineering
DING, Xinpeng
Electronic and Computer Engineering
LIN, Yiqun
Electronic and Computer Engineering
WU, Huimin
(co-supervision)
Computer Science and Engineering( Completed in 2024 )
DAI, Weihang
(co-supervision)
Computer Science and Engineering( Completed in 2023 )
YAO, Huifeng
Electronic and Computer Engineering( Completed in 2024 )
FAN, Hanwei
(co-supervision)
Individualized Interdisciplinary Program (Microelectronics)( Completed in 2023 )
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