Wei-Cheng Chang
16 papers · 2014–2025 · 10 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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🗺️ Taxonomy Completionist (38) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Mega-Team · Squad
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Renaissance Researcher
(6)
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Unstoppable · Bronze
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Century Club · Bronze
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Trend Setter
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Keyword Collector
(83)
Venues
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Research topics
Machine Learning
(13)
Core Methods
(9)
Deep Learning
(8)
Learning Types · Machine Learning
(6)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Natural Language Processing
(4)
Application Areas
(4)
Applications
(4)
Models
(4)
Architectures
(3)
Core AI
(3)
Learning Types · Deep Learning
(3)
Computer Science
(1)
Computer Vision
(1)
Keywords
extreme multi-label classification
(4)
multi-label classification
(3)
kernel learning
(2)
feature engineering
(2)
random fourier feature
(2)
self-supervised learning
(2)
maximum mean discrepancy
(2)
data augmentation
(2)
generative adversarial network
(2)
kernel approximation
(1)
quality estimation
(1)
question generation
(1)
text classification
(1)
link prediction
(1)
question answering
(1)
image restoration
(1)
side information
(1)
two-sample test
(1)
semantic indexing
(1)
time series
(1)
Papers
LightsOut: Diffusion-based Outpainting for Enhanced Lens Flare Removal
ICCV 2025
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering
ACL 2024
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation
ICML 2023
Extreme Zero-Shot Learning for Extreme Text Classification
NAACL 2022
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
ICLR 2022
PECOS: Prediction for Enormous and Correlated Output Spaces
JMLR 2022
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification
NeurIPS 2021
Label Disentanglement in Partition-based Extreme Multilabel Classification
NeurIPS 2021
Pre-training Tasks for Embedding-based Large-scale Retrieval
ICLR 2020
Implicit Kernel Learning
AISTATS 2019
Kernel Change-point Detection with Auxiliary Deep Generative Models
ICLR 2019
Contextual Encoding for Translation Quality Estimation
EMNLP 2018
Data-driven Random Fourier Features using Stein Effect
IJCAI 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network
NeurIPS 2017
Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013
JMLR 2015
Effective String Processing and Matching for Author Disambiguation
JMLR 2014