Qiang Ye
8 papers · 2018–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (21) π Keyword Champion (3)
π
Trend Setter
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
Top co-authors
Research topics
Deep Learning
(8)
Machine Learning
(7)
Models
(4)
Optimization & Theory Β· Machine Learning
(4)
Architectures
(3)
Learning Types Β· Deep Learning
(3)
Artificial Intelligence
(2)
Learning Types Β· Machine Learning
(2)
Optimization & Theory Β· Deep Learning
(2)
Techniques
(2)
Mathematics & Optimization
(1)
Speech & Audio
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Keywords
recurrent neural network
(3)
vanishing gradient
(3)
orthogonal matrix
(3)
gradient descent
(3)
cayley transform
(2)
generative adversarial network
(2)
unitary matrix
(2)
batch normalization
(1)
deep learning
(1)
speech enhancement
(1)
monotonic transformations
(1)
short-term memory
(1)
hessian matrix
(1)
diffusion model
(1)
missing data imputation
(1)
normalizing flow
(1)
mamba architecture
(1)
unitary transformation
(1)
training stability
(1)
mode collapse
(1)
Papers
RefiDiff: Progressive Refinement Diffusion for Efficient Missing Data Imputation
AAAI 2026
SCP-GAN: Self-Correcting Discriminator Optimization for Training Consistency Preserving Metric GAN on Speech Enhancement Tasks
Interspeech 2023
AUTM flow: atomic unrestricted time machine for monotonic normalizing flows
UAI 2022
Batch Normalization Preconditioning for Neural Network Training
JMLR 2022
Adaptive Weighted Discriminator for Training Generative Adversarial Networks
CVPR 2021
Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory
AAAI 2020
Complex Unitary Recurrent Neural Networks Using Scaled Cayley Transform
AAAI 2019
Orthogonal Recurrent Neural Networks with Scaled Cayley Transform
ICML 2018