Cheng-En Wu
7 papers · 2019–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(20)
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The Questioner
Top co-authors
Research topics
Machine Learning
(7)
Learning Types · Machine Learning
(6)
Artificial Intelligence
(4)
Deep Learning
(3)
Application Areas
(3)
Core AI · Artificial Intelligence
(3)
Computer Vision
(2)
Architectures
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Natural Language Processing
(1)
Applications
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Processing
(1)
Keywords
self-supervised learning
(3)
representation learning
(2)
contrastive learning
(2)
vision transformer
(2)
model compression
(2)
few-shot learning
(1)
transfer learning
(1)
curriculum learning
(1)
multimodal learning
(1)
video understanding
(1)
visual representation
(1)
object tracking
(1)
efficient inference
(1)
parameter-efficient fine-tuning
(1)
vision-language model
(1)
model ensemble
(1)
noisy label
(1)
token pruning
(1)
downstream performance
(1)
video dataset
(1)
Papers
NYCU Speech Lab at SemEval-2026 Task 3: Heterogeneous Model Ensemble with Adaptive Weighted Voting for Dimensional Aspect Sentiment Quadruplet Extraction
SemEval 2026
From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling
CVPR 2025
Patch Ranking: Token Pruning as Ranking Prediction for Efficient CLIP
WACV 2025
TrackVerse: A Large-Scale Object-Centric Video Dataset for Image-Level Representation Learning
ICCV 2025
Accelerating Augmentation Invariance Pretraining
NeurIPS 2024
Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?
ICCV 2023
Compacting, Picking and Growing for Unforgetting Continual Learning
NeurIPS 2019