Yichen WU
15 papers · 2013–2026 · 7 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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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (41) π Academic Marathon Β· Half π Grand Slam
π
Triple Crown
ποΈ
Keyword Collector
(80)
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Learning Types Β· Machine Learning
(9)
Deep Learning
(7)
Artificial Intelligence
(5)
Optimization & Theory
(5)
Core AI
(4)
Learning Paradigms Β· Machine Learning
(4)
Computer Vision
(3)
Application Areas
(3)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Learning Paradigms Β· Artificial Intelligence
(2)
Models
(2)
Natural Language Processing
(1)
Architectures
(1)
Keywords
continual learning
(3)
catastrophic forgetting
(2)
bias adaptation
(2)
large language model
(2)
meta learning
(2)
adversarial learning
(1)
semantic segmentation
(1)
model quantization
(1)
noisy label learning
(1)
adversarial training
(1)
medical imaging
(1)
weakly supervised learning
(1)
image fusion
(1)
gradient aggregation
(1)
object detection
(1)
visual reasoning
(1)
referring expression
(1)
class-incremental learning
(1)
conditional generation
(1)
few-shot learning
(1)
Papers
Forest Before Trees: Latent Superposition for Efficient Visual Reasoning
ACL 2026
Virtual Multiplex Staining for Histological Images Using a Marker-Wise Conditioned Diffusion Model
AAAI 2026
DOGR: Towards Versatile Visual Document Grounding and Referring
ICCV 2025
FiVE-Bench: A Fine-grained Video Editing Benchmark for Evaluating Emerging Diffusion and Rectified Flow Models
ICCV 2025
SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
ICLR 2025
Task-driven Image Fusion with Learnable Fusion Loss
CVPR 2025
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs
NeurIPS 2024
Federated Continual Learning via Prompt-based Dual Knowledge Transfer
ICML 2024
Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction
ICLR 2024
Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization
ICML 2024
CBA: Improving Online Continual Learning via Continual Bias Adaptor
ICCV 2023
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
ICLR 2023
Adversarial Task Up-sampling for Meta-learning
NeurIPS 2022
Learning to Purify Noisy Labels via Meta Soft Label Corrector
AAAI 2021
A Practical Algorithm for Topic Modeling with Provable Guarantees
ICML 2013