Lichen Wang
15 papers · 2018–2025 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (40) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
π€
Dynamic Duo
(11)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(77)
Top co-authors
Research topics
Machine Learning
(13)
Learning Types Β· Machine Learning
(10)
Core Methods
(8)
Deep Learning
(7)
Computer Vision
(5)
Analysis
(5)
Application Areas
(5)
Learning Types Β· Deep Learning
(5)
Artificial Intelligence
(4)
Learning Paradigms
(4)
Architectures
(3)
Data Science & Analytics
(1)
Robotics
(1)
Capabilities
(1)
Core AI
(1)
Keywords
domain adaptation
(4)
semi-supervised learning
(3)
few-shot learning
(2)
graph embedding
(2)
adversarial training
(2)
point cloud
(2)
zero-shot learning
(2)
graph neural network
(2)
3d object classification
(2)
catastrophic forgetting
(1)
transfer learning
(1)
domain generalization
(1)
continual learning
(1)
feature extraction
(1)
unsupervised learning
(1)
graph representation learning
(1)
contrastive learning
(1)
attention mechanism
(1)
multi-label learning
(1)
semantic segmentation
(1)
Papers
TFM^2: Training-Free Mask Matching for Open-Vocabulary Semantic Segmentation
WACV 2025
iBARLE: imBalance-Aware Room Layout Estimation
WACV 2024
Adaptive Trajectory Prediction via Transferable GNN
CVPR 2022
MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning
IJCAI 2022
Correlative Channel-Aware Fusion for Multi-View Time Series Classification
AAAI 2021
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
AAAI 2021
Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation
NeurIPS 2021
Dual Relation Semi-Supervised Multi-Label Learning
AAAI 2020
Generative View-Correlation Adaptation for Semi-Supervised Multi-View Learning
ECCV 2020
Inductive and Unsupervised Representation Learning on Graph Structured Objects
ICLR 2020
An Efficient Approach to Informative Feature Extraction from Multimodal Data
AAAI 2019
Generative Multi-View Human Action Recognition
ICCV 2019
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation
NeurIPS 2019
Adaptive Graph Guided Embedding for Multi-label Annotation
IJCAI 2018
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
ECCV 2018