Tong Lin
7 papers · 2015–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Academic Marathon (10) π Cross-Pollinator (13) π Renaissance Researcher (5) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(18)
π
Conference Polyglot
(6)
π§
Keyword Pioneer
π
Keyword Champion
Conferences
IJCAI (2)
AAAI (1)
CVPR (1)
EMNLP (1)
JMLR (1)
NIPS (1)
Top co-authors
Research topics
Keywords
semi-supervised learning
(3)
supervised learning
(2)
transfer learning
(1)
knowledge distillation
(1)
text representation
(1)
confidence calibration
(1)
adversarial training
(1)
pseudo labeling
(1)
deep learning
(1)
class imbalance
(1)
margin-based classification
(1)
total variation
(1)
variational autoencoder
(1)
cross-modal alignment
(1)
generative adversarial network
(1)
vision-language model
(1)
tabular datum
(1)
data pruning
(1)
online shopping
(1)
outcome prediction
(1)
Papers
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
NIPS 2019
Supervised Learning via Euler's Elastica Models
JMLR 2015