Yichen WU
15 papers · 2013–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (6) π Cross-Pollinator (12)
πΊοΈ
Taxonomy Completionist
(33)
π
Conference Polyglot
(6)
π
Triple Crown
π
Grand Slam
π§¬
Topic Evolution
π
Century Club
(13)
ποΈ
Keyword Collector
(57)
π
Conference Pioneer
π₯
Unstoppable
(5)
Conferences
ICCV (3)
ICLR (3)
ICML (3)
AAAI (2)
NIPS (2)
ACL (1)
CVPR (1)
Top co-authors
Keywords
model compression
(1)
model quantization
(1)
catastrophic forgetting
(1)
semantic segmentation
(1)
adversarial learning
(1)
few-shot learning
(1)
object detection
(1)
noisy label learning
(1)
medical imaging
(1)
weakly supervised learning
(1)
image fusion
(1)
conditional generation
(1)
referring expression
(1)
visual reasoning
(1)
adversarial training
(1)
label noise
(1)
distribution shift
(1)
diffusion model
(1)
topic model
(1)
meta 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
SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
ICLR 2025
Task-driven Image Fusion with Learnable Fusion Loss
CVPR 2025
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
Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization
ICML 2024
Federated Continual Learning via Prompt-based Dual Knowledge Transfer
ICML 2024
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs
NIPS 2024
Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction
ICLR 2024
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
ICLR 2023
CBA: Improving Online Continual Learning via Continual Bias Adaptor
ICCV 2023
Adversarial Task Up-sampling for Meta-learning
NIPS 2022
Learning to Purify Noisy Labels via Meta Soft Label Corrector
AAAI 2021
A Practical Algorithm for Topic Modeling with Provable Guarantees
ICML 2013