MedAPT Group
  • About
  • News
  • Publications
  • Group
  • Openings
  • Blog
    • I am serving as an Area Chair for ICML 2026
    • 2 papers accepted to Medical Physics in 2025.
    • 3 papers accepted to phiRO in 2025.
    • 1 paper accepted to TIP in 2025.
    • Our work is reported by ESTRO Newletter
    • I am awarded the 1st place in the ICCR Rising Star Competition (Oral Presentation)!
    • Our submission is selected as an Oral presentation by ICCR 2024!
    • Our abstract is selected as a Proffered Paper by ESTRO 2024!
    • Our abstract is selected as a Mini-Oral presentation by ESTRO 2023!
  • Publications
    • Enhancing Brain MRI Super-Resolution Through Multi-Slice Aware Matching and Fusion
    • Gaussian Representation for Deformable Image Registration
    • A proof-of-concept study of direct magnetic resonance imaging-based proton dose calculation for brain tumors via neural networks with Monte Carlo-comparable accuracy
    • Exploring the effect of training set size and number of categories on ice crystal classification through a contrastive semi-supervised learning algorithm
    • Uncertainty-Aware Testing-Time Optimization for 3D Human Pose Estimation
    • MiLNet: Multiplex Interactive Learning Network for RGB-T Semantic Segmentation
    • Diffusion Schrödinger bridge models for high-quality MR-to-CT synthesis for proton treatment planning
    • A Prior Causality‐Guided Multi‐View Diffusion Network for Brain Disorder Classification
    • HYRE: Hybrid Regressor for 3D Human Pose and Shape Estimation
    • IceDetectNet: a rotated object detection algorithm for classifying components of aggregated ice crystals with a multi-label classification scheme
    • High Performance Computing Framework for Variable Selection on Genome-wide Association Studies
    • UVMap-ID: A Controllable and Personalized UV Map Generative Model
    • Generating Synthetic Computed Tomography for Radiotherapy: SynthRAD2023 Challenge Report
    • A Unified Generation-Registration Framework for Improved MR-based CT Synthesis in Proton Therapy
    • Neural Graphics Primitives-based Deformable Image Registration for On-the-fly Motion Extraction
    • ModelNet-O: A large-scale synthetic dataset for occlusion-aware point cloud classification
    • Neural Clustering based Visual Representation Learning
    • VG4D: Vision-Language Model Goes 4D Video Recognition
    • Continuous sPatial-Temporal Deformable Image Registration (CPT-DIR) for motion modelling in radiotherapy: beyond classic voxel-based methods
    • Towards robust referring image segmentation
    • Towards open vocabulary learning: A survey
    • Uncertainty-aware MR-based CT synthesis for robust proton therapy planning of brain tumour
    • Audio–visual keyword transformer for unconstrained sentence‐level keyword spotting
    • FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation
    • Skeleton-in-context: Unified skeleton sequence modeling with in-context learning
    • Explore In-Context Learning for 3D Point Cloud Understanding
    • Betrayed by captions: Joint caption grounding and generation for open vocabulary instance segmentation
    • Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video
    • Gator: Graph-Aware Transformer with Motion-Disentangled Regression for Human Mesh Recovery from a 2D Pose
    • Interweaved Graph and Attention Network for 3D Human Pose Estimation
    • Optimization induced equilibrium networks: An explicit optimization perspective for understanding equilibrium models
    • PCLoss: Fashion landmark estimation with position constraint loss
    • Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
    • Towards efficient scene understanding via squeeze reasoning
    • Quasi-dense similarity learning for multiple object tracking
    • PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation
    • Bi-directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-Identification
    • Is Attention Better Than Matrix Decomposition?
    • Improving Semantic Segmentation via Decoupled Body and Edge Supervision
    • Position Constraint Loss For Fashion Landmark Estimation
    • Spatial Pyramid Based Graph Reasoning for Semantic Segmentation
    • SOGNet: Scene Overlap Graph Network for Panoptic Segmentation
    • Dynamic System Inspired Adaptive Time Stepping Controller for Residual Networks Families
    • Self-Refining Deep Symmetry Enhanced Network for Rain Removal
    • Expectation Maximization Attention Networks for Semantic Segmentation
    • R^2 Net Recurrent and Recursive Network for Sparse View CT Artifacts Removal
    • Multi-label classification of PCB defects based on convolutional neural network
    • Recurrent Squeeze-and-Excitation Net for Single Image Deraining
  • Talks
    • ICCR 2024 Rising Star Competition
    • ESTRO 2024 Proffered Paper
    • ESTRO 2023 Mini-Oral
    • ICCV 2019 Oral
  • Projects
  • Group
  • Group
  • Experience
  • Teaching
    • Advanced Machine Learning
    • Learn JavaScript

1 paper accepted to TIP in 2025.

Feb 9, 2025·
Xia Li
Xia Li
· 1 min read

They are:

  • MiLNet: Multiplex Interactive Learning Network for RGB-T Semantic Segmentation
Last updated on Feb 9, 2025
Xia Li
Authors
Xia Li
Associate Professor (incoming)
Leading research at the intersection of computer vision, medical imaging and radiotherapy.

← 3 papers accepted to phiRO in 2025. Nov 18, 2025
Our work is reported by ESTRO Newletter Aug 20, 2024 →

© 2025 MedAPT Group. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.