Weihao Li
12 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (32) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(59)
Top co-authors
Research topics
Machine Learning
(9)
Learning Types Β· Machine Learning
(7)
Deep Learning
(5)
Artificial Intelligence
(4)
Computer Vision
(4)
Core AI
(4)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Application Areas
(3)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Analysis
(2)
Architectures
(2)
Mathematics
(2)
Methods
(2)
Keywords
image classification
(2)
multimodal large language model
(2)
markov random field
(2)
representation learning
(2)
community detection
(2)
transfer learning
(1)
object detection
(1)
few-shot learning
(1)
label propagation
(1)
policy gradient
(1)
semi-supervised learning
(1)
visual question answering
(1)
attention mechanism
(1)
weakly supervised learning
(1)
instance segmentation
(1)
graph clustering
(1)
3d scene understanding
(1)
medical report generation
(1)
data augmentation
(1)
domain adaptation
(1)
Papers
AusSmoke meets MultiNatSmoke: a fully-labelled diverse smoke segmentation dataset
WACV 2026
DermEVAL: A Dermatologist-Reviewed Benchmark for Multimodal Large Language Models
WACV 2026
False Alarm Rectification for Early Smoke Segmentation
WACV 2026
SmokeBench: Evaluating Multimodal Large Language Models for Wildfire Smoke Detection
WACV 2026
Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration
ICML 2025
Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration
ICML 2024
Weakly-Supervised Point Cloud Instance Segmentation With Geometric Priors
WACV 2023
Blind Image Decomposition
ECCV 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
ICML 2022
Reinforced Attention for Few-Shot Learning and Beyond
CVPR 2021
Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks
AAAI 2019
Incorporating Network Embedding into Markov Random Field for Better Community Detection
AAAI 2019