Xiaodong Cui
27 papers · 2017–2025 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
π Conference Polyglot (8) π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge π Academic Marathon (8)
π
Academic Marathon
(8)
π
Cross-Pollinator
(13)
πΊοΈ
Taxonomy Completionist
(41)
π
Keyword Champion
(2)
π§¬
Topic Evolution
π€
Dynamic Duo
(10)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(106)
π
Trend Setter
π
Century Club
(27)
π₯
Unstoppable
(9)
β
The Questioner
Conferences
INTERSPEECH (12)
NIPS (7)
ICLR (2)
ICML (2)
ACL (1)
AISTATS (1)
IJCAI (1)
IJCNLP (1)
Top co-authors
Keywords
automatic speech recognition
(5)
speech recognition
(5)
deep neural network
(5)
acoustic model
(4)
recurrent neural network transducer
(4)
model quantization
(3)
recurrent neural network
(3)
influence function
(2)
federated learning
(2)
word error rate
(2)
label smoothing
(2)
long short-term memory
(2)
distributed training
(2)
language model
(2)
efficient computing
(2)
decentralized optimization
(2)
model compression
(2)
distributed learning
(2)
neural network optimization
(2)
acoustic modeling
(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
Improving RNN Transducer Acoustic Models for English Conversational Speech Recognition
INTERSPEECH 2023
Distributed Offline Policy Optimization Over Batch Data
AISTATS 2023
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data
ICML 2023
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
NIPS 2022
Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization
INTERSPEECH 2022
Improving Generalization of Deep Neural Network Acoustic Models with Length Perturbation and N-best Based Label Smoothing
INTERSPEECH 2022
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
4-Bit Quantization of LSTM-Based Speech Recognition Models
INTERSPEECH 2021
On Sample Based Explanation Methods for NLP: Faithfulness, Efficiency and Semantic Evaluation
IJCNLP 2021
Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance
IJCAI 2020
Ultra-Low Precision 4-bit Training of Deep Neural Networks
NIPS 2020
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets
NIPS 2020
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
NIPS 2020
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets
ICLR 2020
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks
NIPS 2019
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
Large-Scale Mixed-Bandwidth Deep Neural Network Acoustic Modeling for Automatic Speech Recognition
INTERSPEECH 2019
Challenging the Boundaries of Speech Recognition: The MALACH Corpus
INTERSPEECH 2019
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks
NIPS 2018
Dilated Recurrent Neural Networks
NIPS 2017
Embedding-Based Speaker Adaptive Training of Deep Neural Networks
INTERSPEECH 2017
English Conversational Telephone Speech Recognition by Humans and Machines
INTERSPEECH 2017