Lianghua He
13 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (39)
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Century Club · Bronze
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Prolific Year · Productive
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Keyword Collector
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Research topics
Deep Learning
(10)
Machine Learning
(9)
Learning Types · Machine Learning
(7)
Computer Vision
(6)
Learning Types · Deep Learning
(5)
Artificial Intelligence
(4)
Analysis
(4)
Application Areas
(4)
Architectures
(4)
Healthcare & Medicine
(3)
Clinical
(3)
Domain-Specific
(3)
Optimization & Theory
(3)
Core AI
(2)
Core Methods
(2)
Keywords
contrastive learning
(3)
self-supervised learning
(3)
continual learning
(2)
model compression
(2)
medical image segmentation
(2)
medical imaging
(2)
convolutional neural network
(2)
source-free domain adaptation
(2)
catastrophic forgetting
(1)
transfer learning
(1)
representation learning
(1)
domain adaptation
(1)
prototype learning
(1)
domain generalization
(1)
few-shot learning
(1)
entity linking
(1)
weakly supervised learning
(1)
vision transformer
(1)
knowledge transfer
(1)
semantic segmentation
(1)
Papers
DGS: Dual Gradient and Semantic-Shift Guided Low-Rank Adaptation for Class Incremental Learning
CVPR 2026
When Token Pruning is Worse than Random: Understanding Visual Token Information in VLLMs
CVPR 2026
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images
AAAI 2025
CFII-Net: Explicit Class Embeddings and Feature Maps Through Iterative Interaction for Boosting Medical Image Segmentation
IJCAI 2025
CoSMIC: Continual Self-supervised Learning for Multi-Domain Medical Imaging via Conditional Mutual Information Maximization
ICCV 2025
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer
AAAI 2025
M²RL-Net: Multi-View and Multi-Level Relation Learning Network for Weakly-Supervised Image Forgery Detection
AAAI 2025
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
CVPR 2024
MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection
CVPR 2024
MMEL: A Joint Learning Framework for Multi-Mention Entity Linking
UAI 2023
SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy
CVPR 2023
Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval With Partial Query
ICCV 2021
Segmenting Medical MRI via Recurrent Decoding Cell
AAAI 2020