Junfan Chen
26 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Machine Learning
(23)
Natural Language Processing
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Learning Types Β· Machine Learning
(14)
Artificial Intelligence
(13)
Deep Learning
(12)
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Core Methods
(9)
Learning Paradigms
(8)
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(2)
Keywords
text classification
(6)
pseudo labeling
(4)
semi-supervised learning
(4)
contrastive learning
(4)
few-shot learning
(4)
cross-lingual transfer
(3)
adversarial learning
(2)
representation learning
(2)
knowledge distillation
(2)
data augmentation
(2)
expectation maximization
(2)
relation extraction
(2)
prompt-based learning
(2)
dialogue state tracking
(2)
prototype learning
(1)
embedding learning
(1)
label propagation
(1)
transductive learning
(1)
multi-task learning
(1)
bayesian inference
(1)
Papers
Adversarial Metric Learning for Fine-Grained Emotion Classification
ACL 2026
Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective
AAAI 2026
AT-Drone: Benchmarking Adaptive Teaming in Multi-Drone Pursuit
CoRL 2025
Calibrating Pseudo-Labeling with Class Distribution for Semi-supervised Text Classification
EMNLP 2025
Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing
AAAI 2025
Improving Data Annotation for Low-Resource Relation Extraction with Logical Rule-Augmented Collaborative Language Models
NAACL 2025
Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding
AAAI 2025
Semi-Supervised Multimodal Classification Through Learning from Modal and Strategic Complementarities
AAAI 2025
Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching
IJCAI 2024
Open-Set Semi-Supervised Text Classification via Adversarial Disagreement Maximization
ACL 2024
Progressively Modality Freezing for Multi-Modal Entity Alignment
ACL 2024
Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime
AAAI 2023
Multi-Mask Label Mapping for Prompt-Based Learning
AAAI 2023
Prototype-Guided Pseudo Labeling for Semi-Supervised Text Classification
ACL 2023
Tucker Decomposition with Frequency Attention for Temporal Knowledge Graph Completion
ACL 2023
A Hierarchical N-Gram Framework for Zero-Shot Link Prediction
EMNLP 2022
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition
ACL 2022
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification
AAAI 2022
E-VarM: Enhanced Variational Word Masks to Improve the Interpretability of Text Classification Models
COLING 2022
Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning
EMNLP 2022
Text Style Transferring via Adversarial Masking and Styled Filling
EMNLP 2022
Hypernym Discovery via a Recurrent Mapping Model
ACL 2021
On Scalar Embedding of Relative Positions in Attention Models
AAAI 2021
Neural Dialogue State Tracking with Temporally Expressive Networks
EMNLP 2020
Parallel Interactive Networks for Multi-Domain Dialogue State Generation
EMNLP 2020
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework
EMNLP 2019