Research Direction: Machine Learning, Drug Discovery

Research Direction: Computing Biology, AI for Health Care

Research Direction: Drug Discovery, Trustworthy AI, Reinforcement Learning

Research Direction: Medical Image Analysis, Reinforcement Learning

Research Direction: Machine Learning, Deep Reinforcement Learning

Research Direction: Medical Image Analysis, Reinforcement Learning

Research Direction: Multiagent System, Deep Reinforcement Learning

Research Direction: Medical Image Analysis, Deep Learning

Research Direction: Surface Reconstruction, Point Clouds Processing, Deep Learning

Research Direction: Protein Design, Deep Generative Model

Research Direction: AI for Healthcare, Multimodal Learning

Research Direction: Computer Vision, Deep Learning

Research Direction: AI for Science

Research Direction: Deep Learning, Intelligent Mobile Robotics

Research Direction: Augmented Reality, 3D Visualization

Research Direction: Medical Extended Reality, Sign Language Translation

Research Direction: Medical XR, Medical AI

Research Direction: Hand-Object Interactions, Medical Extended Reality

Research Direction: Computer Vision & Deep Learning

Research Direction: Medical Image Analysis & Deep Learning

Research Direction: Embodied AI, Multi-Modality Learning

Research Direction: Computer Vision, Deep Learning

Research Direction: AI for Science, Peptide Design

Research Direction: Surgical Scene Understanding, Deep Learning

Research Direction: AI for Science, Protein Design

Research Direction: Medical Sequence Learning, Deep Generative Learning

Research Direction: Multi-agent Systems, Reasoning-based Models

Research Direction: Vision Language Model, Medical AI, Visual Perception

Research Direction: AI for Drug Discovery, Deep Learning

Research Direction: Medical Image Analysis, Surgical Visual Understanding

Research Direction: Generative AI, Multi-Modal Learning, Embodied AI

Research Direction: Medical Image Analysis, Deep Learning

Time-critical Modeling and Rendering: Geometry-based and Image-based Approaches

A Novel Macro Particle Method for Compressible Flows: Graphics and Fluid Dynamics Applications

Collaborative Virtual Environment for Web-based Medical Education

Fuzzifications of Choquet Integral and Their Applications on Data Mining

Realtime Techniques for Surgical Simulations

Level Set Methods for Image Segmentation and Manga Stylization

GPU-Friendly Visual Rendering

Computational Techniques for Statistical Morphometric Analysis of 3D MRI Data of Human Skull and Brain

Texture Aware Approaches Enhancing Visual Appearance

Ultrasound Image Stitching and Simulation for Ultrasound Guided Biopsy Training

Key Techniques for Realistic, Interactive and Collaborative Virtual Surgery

Image-based Symmetry Analysis and Its Applications

Surgical Simulation for Vascular Interventional Radiology

Applications of Sparse Regularization to Inverse Problem of Electrocardiography

A Simulation System of Vascular Interventional Radiology Procedures for Training Endovascular Skills

Real-time Mandibular Angle Reduction Surgical Simulator with Haptic Rendering

Binocular Tone Mapping

Meshless Deformable Models for Medical Simulation Applications

Techniques for Effective Training via Computer-based Ultrasound Guided Needle Placement Simulator

Multiscale Geodesic Active Contours and Local Phase Information in Ultrasonic Applications

Feature-preserving Surface Mesh Smoothing, Denoising and Applications in Biomedical Modeling

Unsupervised Learning with High-dimensional Samples

Robust MR-TRUS Fusion for Image-guided Prostate Interventions

Towards Intelligent Diagnosis: Deep Learning for Biomarker Detection and Semantic Parsing from Medical Images

Meshless Approximation Methods for Medical Simulation and Fluid Animation

Heterogeneous Modeling for Statistical Learning with Bayesian Nonparametric Approaches

Computational Methods for 3D Mesh and 2D Image Layer Separations

Statistical Learning for Sample-limited High-dimensional Data

Analyzing High-dimensional Medical Images with Deep Learning

Towards AI-empowered Healthcare: Medical Image Analysis with Data-Efficient Deep Learning

Deep Learning for Ultrasound Image Analysis: From Feasibility to Robustness

Towards Intelligent Surgery: Dynamic Surgical Video Analysis with Deep Learning

Maximizing the Data Utilization Efficiency in Medical Imaging Diagnosis: from Full Supervision to Weak Supervision

Shadow Detection and Removal with Deep Learning

Balancing Accuracy and Fairness in Recommender Systems: From Offline to Online Algorithms

Deep Learning Approaches for 3D Point Cloud Analysis and Applications

Novel Techniques to Enhance Selection and Typing Tasks in VR Environment

Weakly Supervised Deep Learning for Large-scale Medical Image Analysis

Large Scale Pathological Whole-Slide Image Analysis via Efficient Deep Learning

Enhancing Robustness of Deep Neural Networks for Analyzing Heterogeneous Medical Images

A Study on Deep Neural Networks Trained with Noisy Labels

Deep Learning for Surgical Video Analysis: From Recognition to Prediction

Towards Cost-effective Medical Image Analysis: From Active Learning, Semi-Supervised Learning to Cross-Domain Learning

Deep Model Generalization for Medical Image Analysis

Efficient Learning for High Dimensional Medical Image Computing: from Micro to Macro

3D Point Cloud Analysis via Deep Learning

Towards Data-efficient Cardiac Image Analysis: From Cross-domain Learning to Domain-incremental Learning

Multi-center Medical Image Computing with Robust Federated Learning and Beyond

Understanding and Learning From Imperfect Data for Medical Image Diagnosis

Exploring Video Correspondence for Efficient Cognitive Intelligence in Robotic Surgery

Advancing Robust Learning Algorithms for Medical Image Analysis under Data Bias

Practical Instance Segmentation Approaches for Robotics Picking

A Study on Semi-supervised Learning: Pseudo Labeling and Network Architecture Perspectives

Advancing Topological-geometrical Learning for Real-world Systems

Learning with Uncertainty: Integrating Data, Model, and Distributional Perspectives

Learning to See Clearly Through Adverse Conditions

Learning to Understand the Visual World from Multi-modal Data

Graph-based Deep Learning for Real-world generation and Optimization Problems

High Performance Computer Simulated Bronchoscopy with Interactive Navigation

Interactive Volume Visualization in a Virtual Environment

Fast Interactive 2D and 3D Segmentation Tools

Interactive Illumination and Navigation Control in an Image based Environment

Isosurface Extraction and Haptic Rendering of Volumetric Data

Automatic Extraction of Bronchus and Centerline Determination from CT Images for 3D Virtual Bronchoscopy

Resource Optimization and Dynamic State Management in a Collaborative Virtual Environment

Tele-Immersive Display with Live-streamed Video

Fusing Scattered Images with Multiresolution Point-based Model

Innovative Fuzzy Petri Net Model for Chinese Medicine Expert System

Computer Simulated Needle Manipulation of Chinese Acupuncture

A Portable Capturing System for Image-based Relighting

Reconstruction and Analysis of 4D Heart Motion from Tagged MR Images

A Learning-by-Example Method for Reducing BDCT Compression Artifact in High-Contrast Images

Exploit the GPU Power in Real-time Graphics and Visualization

Digital Photo Album Management Techniques - fromOne Dimension to Multi-Dimension

Exploiting the GPU Power for Image-based Relighting and Neural Network

GPU-Friendly Marching Cubes

GL4D: A GPU-based Architecture for Interactive 4D Visualization

User Interactive Techniques for Computer-Assisted Medical Applications

Segmentation of the Liver in CT Volumes based on Deformable Model

Segmentation Outline Tracking from Sketches

Cross-Device Authentication via Motion Co-analysis with a Smartwatch in a Multi-user Multi-device Environment

Supervised and Unsupervised Learning for 3D Brain Image Segmentation

Techniques for Improving Medical Image Analysis: From Traditional Method to Deep Learning Method

Research Direction: Artificial Intelligence & Drug Discovery

Research Direction: Medical Image Analysis, Deep Learning

Research Direction: Augmented Reality, 3D Visualization, Surgical Guidance

Research Direction: Computer Vision & Medical Image Analysis & Instance-level Segmentation

Research Direction: Computer Vision, Robot Learning

Research Direction: Medical Image Analysis, Deep Learning