Yuxuan Du
14 papers · 2018–2026 · 9 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.
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Research topics
Machine Learning
(11)
Deep Learning
(7)
Optimization & Theory Β· Machine Learning
(6)
Core Methods
(5)
Learning Types Β· Machine Learning
(5)
Artificial Intelligence
(3)
Application Areas
(3)
Core AI
(3)
Interdisciplinary
(2)
Mathematics & Optimization
(2)
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Learning Types Β· Deep Learning
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Models
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Optimization & Theory Β· Deep Learning
(2)
Keywords
label noise
(4)
memorization effect
(2)
deep learning
(2)
quantum computing
(2)
representation learning
(2)
image classification
(2)
semi-supervised learning
(1)
contrastive learning
(1)
causal inference
(1)
self-supervised learning
(1)
data augmentation
(1)
multi-label classification
(1)
ridge regression
(1)
ising model
(1)
noisy label learning
(1)
neural network optimization
(1)
feature selection
(1)
text-to-image generation
(1)
automatic speech recognition
(1)
network architecture
(1)
Papers
Do We Need to Penalize Variance of Losses for Learning with Label Noise?
JMLR 2026
Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge
Interspeech 2025
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
CaM: Cache Merging for Memory-efficient LLMs Inference
ICML 2024
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness
NeurIPS 2024
Neural Auto-designer for Enhanced Quantum Kernels
ICLR 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
NeurIPS 2022
DyRep: Bootstrapping Training With Dynamic Re-Parameterization
CVPR 2022
RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning
NeurIPS 2022
Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization
IJCAI 2018