Tong Lin
8 papers · 2015–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
🏆
Keyword Champion
Top co-authors
Research topics
Machine Learning
(7)
Core Methods
(5)
Deep Learning
(3)
Application Areas
(3)
Learning Types · Deep Learning
(3)
Learning Types · Machine Learning
(3)
Artificial Intelligence
(1)
Computer Vision
(1)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Analysis
(1)
Applications · Natural Language Processing
(1)
Applications · Data Science & Analytics
(1)
Core AI
(1)
Optimization & Theory
(1)
Keywords
semi-supervised learning
(3)
supervised learning
(2)
contrastive learning
(1)
transfer learning
(1)
knowledge distillation
(1)
text representation
(1)
confidence calibration
(1)
adversarial training
(1)
pseudo labeling
(1)
object tracking
(1)
deep learning
(1)
class imbalance
(1)
margin-based classification
(1)
total variation
(1)
autoregressive model
(1)
variational autoencoder
(1)
cross-modal alignment
(1)
generative adversarial network
(1)
vision-language model
(1)
tabular data
(1)
Papers
Adaptive Capacity Autoregressive Visual Tracking
CVPR 2026
Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Large Model Enhancement
CVPR 2025
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning
AAAI 2024
Tab2Text - A framework for deep learning with tabular data
EMNLP 2024
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning
IJCAI 2024
SUSTAINABLESIGNALS: An AI Approach for Inferring Consumer Product Sustainability
IJCAI 2023
MarginGAN: Adversarial Training in Semi-Supervised Learning
NeurIPS 2019
Supervised Learning via Euler's Elastica Models
JMLR 2015