Lianghua He
11 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (38) π§ Keyword Pioneer π Conference Polyglot (5)
π
Academic Marathon
(5)
π
Renaissance Researcher
(6)
π
Century Club
(11)
ποΈ
Keyword Collector
(58)
β‘
Prolific Year
(5)
Conferences
AAAI (4)
CVPR (3)
ICCV (2)
IJCAI (1)
UAI (1)
Top co-authors
Research topics
Keywords
contrastive learning
(3)
self-supervised learning
(3)
source-free domain adaptation
(2)
medical imaging
(2)
convolutional neural network
(2)
medical image segmentation
(2)
model compression
(2)
semantic segmentation
(1)
continual learning
(1)
representation learning
(1)
domain adaptation
(1)
prototype learning
(1)
transfer learning
(1)
multimodal learning
(1)
domain generalization
(1)
entity linking
(1)
few-shot learning
(1)
weakly supervised learning
(1)
knowledge transfer
(1)
vision transformer
(1)
Papers
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
MΒ²RL-Net: Multi-View and Multi-Level Relation Learning Network for Weakly-Supervised Image Forgery Detection
AAAI 2025
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images
AAAI 2025
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer
AAAI 2025
MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection
CVPR 2024
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
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