Yuxuan Du
12 papers · 2018–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (10)
πΊοΈ
Taxonomy Completionist
(31)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π
Triple Crown
π
Trend Setter
β
The Questioner
π
Century Club
(12)
ποΈ
Keyword Collector
(52)
Conferences
ICML (3)
NIPS (3)
ICLR (2)
CVPR (1)
EMNLP (1)
ICCV (1)
IJCAI (1)
Top co-authors
Keywords
label noise
(3)
image classification
(2)
representation learning
(2)
quantum computing
(2)
contrastive learning
(1)
semi-supervised learning
(1)
causal inference
(1)
generative model
(1)
self-supervised learning
(1)
data augmentation
(1)
multi-label classification
(1)
ridge regression
(1)
noisy label learning
(1)
text-to-image generation
(1)
neural network optimization
(1)
deep learning
(1)
ising model
(1)
network architecture
(1)
model compression
(1)
combinatorial optimization
(1)
Papers
Rethink the Role of Deep Learning towards Large-scale Quantum Systems
ICML 2025
RRInf: Efficient Influence Function Estimation via Ridge Regression for Large Language Models and Text-to-Image Diffusion Models
EMNLP 2025
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness
NIPS 2024
Neural Auto-designer for Enhanced Quantum Kernels
ICLR 2024
CaM: Cache Merging for Memory-efficient LLMs Inference
ICML 2024
Holistic Label Correction for Noisy Multi-Label Classification
ICCV 2023
Symmetric Pruning in Quantum Neural Networks
ICLR 2023
Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?
ICML 2023
Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization
NIPS 2022
RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning
NIPS 2022
DyRep: Bootstrapping Training With Dynamic Re-Parameterization
CVPR 2022
Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization
IJCAI 2018