June Yong Yang
11 papers · 2020–2025 · 6 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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πΊοΈ Taxonomy Completionist (41) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(11)
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The Questioner
(2)
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(8)
Artificial Intelligence
(6)
Application Areas
(6)
Learning Types Β· Deep Learning
(6)
Core AI
(5)
Core Methods
(4)
Learning Types Β· Machine Learning
(4)
Models
(4)
Techniques
(4)
Computer Vision
(2)
Natural Language Processing
(2)
Applications
(2)
Optimization & Theory
(2)
Knowledge & Reasoning
(1)
Keywords
generative model
(2)
image classification
(1)
class imbalance
(1)
shortcut learning
(1)
metric learning
(1)
image generation
(1)
domain generalization
(1)
mathematical reasoning
(1)
attention mechanism
(1)
data augmentation
(1)
relation extraction
(1)
multimodal learning
(1)
image editing
(1)
image translation
(1)
contrastive learning
(1)
formal verification
(1)
low-rank approximation
(1)
parameter sharing
(1)
knowledge graph
(1)
post-training quantization
(1)
Papers
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding
ICLR 2025
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices
NAACL 2025
Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing
CVPR 2025
Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
ICLR 2025
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective
NeurIPS 2024
Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication
ICLR 2024
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation
ICML 2023
Does it Really Generalize Well on Unseen Data? Systematic Evaluation of Relational Triple Extraction Methods
NAACL 2022
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing
AAAI 2022
GTA: Graph Truncated Attention for Retrosynthesis
AAAI 2021
Attribution Preservation in Network Compression for Reliable Network Interpretation
NeurIPS 2020