Tong Wei
28 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (10) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🏃
Academic Marathon
(7)
🤝
Dynamic Duo
(10)
🏆
Grand Slam
💎
Century Club
(27)
🚀
Conference Pioneer
⚡
Prolific Year
(7)
📈
Trend Setter
❓
The Questioner
(2)
🗃️
Keyword Collector
(112)
Conferences
AAAI (5)
ICCV (5)
ICML (5)
IJCAI (4)
NIPS (4)
COLT (1)
CVPR (1)
ICLR (1)
JMLR (1)
WACV (1)
Top co-authors
Keywords
semi-supervised learning
(4)
multi-label classification
(3)
long-tailed distribution
(3)
model compression
(2)
gossip algorithm
(2)
robust estimation
(2)
label-specific feature
(2)
label ranking
(2)
vision-language model
(2)
class imbalance
(2)
representation learning
(2)
spectral gap
(2)
open-world learning
(2)
out-of-distribution detection
(2)
regret bound
(2)
tail label
(2)
feature selection
(1)
image retrieval
(1)
sample efficiency
(1)
multi-label learning
(1)
Papers
TSPE-GS: Probabilistic Depth Extraction for Semi-Transparent Surface Reconstruction via 3D Gaussian Splatting
AAAI 2026
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training
ICCV 2025
Semi-Supervised CLIP Adaptation by Enforcing Semantic and Trapezoidal Consistency
ICLR 2025
LADA: Scalable Label-Specific CLIP Adapter for Continual Learning
ICML 2025
Weakly-Supervised Contrastive Learning for Imprecise Class Labels
ICML 2025
Optimal and Efficient Algorithms for Decentralized Online Convex Optimization
JMLR 2025
Breaking the Frame: Visual Place Recognition by Overlap Prediction
WACV 2025
EAT: Towards Long-Tailed Out-of-Distribution Detection
AAAI 2024
Nearly Optimal Regret for Decentralized Online Convex Optimization
COLT 2024
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning
ICML 2024
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
ICML 2024
Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition
ICML 2024
Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning
IJCAI 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
NIPS 2024
Vision-Language Models are Strong Noisy Label Detectors
NIPS 2024
Dual Critic Reinforcement Learning under Partial Observability
NIPS 2024
Scene-Aware Feature Matching
ICCV 2023
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels
IJCAI 2023
How Re-sampling Helps for Long-Tail Learning?
NIPS 2023
Can Label-Specific Features Help Partial-Label Learning?
AAAI 2023
Adaptive Reordering Sampler with Neurally Guided MAGSAC
ICCV 2023
Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need
CVPR 2023
Generalized Differentiable RANSAC
ICCV 2023
NGC: A Unified Framework for Learning With Open-World Noisy Data
ICCV 2021
Towards Automated Semi-Supervised Learning
AAAI 2019
Learning Compact Model for Large-Scale Multi-Label Data
AAAI 2019
Learning for Tail Label Data: A Label-Specific Feature Approach
IJCAI 2019
Does Tail Label Help for Large-Scale Multi-Label Learning
IJCAI 2018