Tong Wei
31 papers · 2018–2026 · 10 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
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (62)
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Grand Slam
π€
Dynamic Duo
(11)
π¬
Deep Specialist
(10)
ποΈ
Keyword Collector
(154)
β
The Questioner
(2)
β‘
Prolific Year Β· Productive
π
Conference Pioneer
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Trend Setter
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(26)
Learning Types Β· Machine Learning
(17)
Deep Learning
(16)
Core Methods
(13)
Application Areas
(11)
Learning Types Β· Deep Learning
(8)
Computer Vision
(7)
Artificial Intelligence
(6)
Analysis
(6)
Core AI
(6)
Architectures
(5)
Optimization & Theory Β· Machine Learning
(5)
Optimization & Theory Β· Deep Learning
(3)
Mathematics & Optimization
(2)
Optimization
(2)
Keywords
semi-supervised learning
(6)
vision-language model
(4)
multi-label classification
(3)
long-tailed distribution
(3)
reinforcement learning
(2)
tail label
(2)
fine tuning
(2)
contrastive learning
(2)
regret bound
(2)
label ranking
(2)
class imbalance
(2)
model compression
(2)
representation learning
(2)
label-specific feature
(2)
image retrieval
(2)
robust estimation
(2)
out-of-distribution detection
(2)
model merging
(2)
noisy label learning
(2)
spectral gap
(2)
Papers
DC-Merge: Improving Model Merging with Directional Consistency
CVPR 2026
Global-Aware Edge Prioritization for Pose Graph Initialization
CVPR 2026
GTR-Turbo: Merged Checkpoint is Secretly a Free Teacher for Agentic VLM Training
CVPR 2026
TSPE-GS: Probabilistic Depth Extraction for Semi-Transparent Surface Reconstruction via 3D Gaussian Splatting
AAAI 2026
Breaking the Frame: Visual Place Recognition by Overlap Prediction
WACV 2025
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training
ICCV 2025
LADA: Scalable Label-Specific CLIP Adapter for Continual Learning
ICML 2025
Optimal and Efficient Algorithms for Decentralized Online Convex Optimization
JMLR 2025
Semi-Supervised CLIP Adaptation by Enforcing Semantic and Trapezoidal Consistency
ICLR 2025
Weakly-Supervised Contrastive Learning for Imprecise Class Labels
ICML 2025
Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning
IJCAI 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
NeurIPS 2024
Dual Critic Reinforcement Learning under Partial Observability
NeurIPS 2024
EAT: Towards Long-Tailed Out-of-Distribution Detection
AAAI 2024
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning
ICML 2024
Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition
ICML 2024
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
ICML 2024
Nearly Optimal Regret for Decentralized Online Convex Optimization
COLT 2024
Vision-Language Models are Strong Noisy Label Detectors
NeurIPS 2024
Adaptive Reordering Sampler with Neurally Guided MAGSAC
ICCV 2023
Can Label-Specific Features Help Partial-Label Learning?
AAAI 2023
Generalized Differentiable RANSAC
ICCV 2023
How Re-sampling Helps for Long-Tail Learning?
NeurIPS 2023
Scene-Aware Feature Matching
ICCV 2023
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels
IJCAI 2023
Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need
CVPR 2023
NGC: A Unified Framework for Learning With Open-World Noisy Data
ICCV 2021
Learning Compact Model for Large-Scale Multi-Label Data
AAAI 2019
Learning for Tail Label Data: A Label-Specific Feature Approach
IJCAI 2019
Towards Automated Semi-Supervised Learning
AAAI 2019
Does Tail Label Help for Large-Scale Multi-Label Learning
IJCAI 2018