Xiaodong Cui
26 papers · 2017–2025 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(19)
Speech & Audio
(12)
Optimization & Theory · Machine Learning
(12)
Recognition
(12)
Deep Learning
(11)
Artificial Intelligence
(7)
Application Areas
(6)
Architectures
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Core AI
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Learning Types
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Mathematics & Optimization
(4)
Optimization
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Optimization & Theory · Deep Learning
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Learning Paradigms
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Techniques
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Keywords
automatic speech recognition
(5)
speech recognition
(5)
deep neural network
(5)
acoustic model
(4)
recurrent neural network transducer
(4)
non-convex optimization
(3)
recurrent neural network
(3)
model quantization
(3)
long short-term memory
(2)
federated learning
(2)
language model
(2)
distributed training
(2)
distributed learning
(2)
acoustic modeling
(2)
neural network optimization
(2)
in-context learning
(2)
model compression
(2)
decentralized optimization
(2)
efficient computing
(2)
label smoothing
(2)
Papers
Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis
ICLR 2025
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
ICML 2024
M2ASR: Multilingual Multi-task Automatic Speech Recognition via Multi-objective Optimization
Interspeech 2024
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data
ICML 2023
Distributed Offline Policy Optimization Over Batch Data
AISTATS 2023
Improving RNN Transducer Acoustic Models for English Conversational Speech Recognition
Interspeech 2023
Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization
Interspeech 2022
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
NeurIPS 2022
Improving Generalization of Deep Neural Network Acoustic Models with Length Perturbation and N-best Based Label Smoothing
Interspeech 2022
4-Bit Quantization of LSTM-Based Speech Recognition Models
Interspeech 2021
On Sample Based Explanation Methods for NLP: Faithfulness, Efficiency and Semantic Evaluation
ACL 2021
Reducing Exposure Bias in Training Recurrent Neural Network Transducers
Interspeech 2021
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets
NeurIPS 2020
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
NeurIPS 2020
Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance
IJCAI 2020
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets
ICLR 2020
Ultra-Low Precision 4-bit Training of Deep Neural Networks
NeurIPS 2020
Acoustic Model Optimization Based on Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition
Interspeech 2019
A Highly Efficient Distributed Deep Learning System for Automatic Speech Recognition
Interspeech 2019
Challenging the Boundaries of Speech Recognition: The MALACH Corpus
Interspeech 2019
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks
NeurIPS 2019
Large-Scale Mixed-Bandwidth Deep Neural Network Acoustic Modeling for Automatic Speech Recognition
Interspeech 2019
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks
NeurIPS 2018
Dilated Recurrent Neural Networks
NeurIPS 2017
Embedding-Based Speaker Adaptive Training of Deep Neural Networks
Interspeech 2017
English Conversational Telephone Speech Recognition by Humans and Machines
Interspeech 2017