Wei Tan
11 papers · 2017–2026 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(10)
Learning Types Β· Machine Learning
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Artificial Intelligence
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Deep Learning
(5)
Natural Language Processing
(5)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Optimization & Theory
(4)
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Architectures
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Core AI
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Understanding
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Learning Paradigms
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Interdisciplinary
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Mathematics & Optimization
(1)
Keywords
active learning
(3)
acquisition function
(2)
proper scoring rule
(2)
named entity recognition
(2)
binary classification
(1)
bayesian inference
(1)
reinforcement learning
(1)
text classification
(1)
few-shot learning
(1)
opinion mining
(1)
prototype learning
(1)
argument extraction
(1)
sentiment analysis
(1)
multimodal learning
(1)
prompt-based learning
(1)
multi-label classification
(1)
corpus construction
(1)
low-resource learning
(1)
prompt learning
(1)
sequence labeling
(1)
Papers
DPL: Decoupled Prototype Learning for Enhancing Robustness of Vision-Language Transformers to Missing Modalities
CVPR 2026
DRAFT-RL: Multi-Agent Chain-of-Draft Reasoning for Reinforcement Learning-Enhanced LLMs
AAAI 2026
SongEditor: Adapting Zero-Shot Song Generation Language Model as a Multi-Task Editor
AAAI 2025
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification
AAAI 2024
Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space
ICLR 2024
AUC Maximization for Low-Resource Named Entity Recognition
AAAI 2023
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition
EMNLP 2023
TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding
EMNLP 2023
ECO v1: Towards Event-Centric Opinion Mining
ACL 2022
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules
NeurIPS 2021
Dilated Recurrent Neural Networks
NeurIPS 2017