Zhouyuan Huo
22 papers · 2017–2024 · 10 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π Conference Polyglot (10)
π
Academic Marathon
(7)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π¬
Deep Specialist
(10)
π
Keyword Champion
(2)
π€
Dynamic Duo
(12)
ποΈ
Keyword Collector
(99)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(22)
π₯
Unstoppable
(8)
Conferences
INTERSPEECH (5)
AAAI (4)
NIPS (4)
ICML (2)
IJCAI (2)
AISTATS (1)
CVPR (1)
EMNLP (1)
IJCNLP (1)
JMLR (1)
Top co-authors
Keywords
stochastic optimization
(3)
parallel training
(3)
speech recognition
(3)
convergence guarantee
(3)
automatic speech recognition
(3)
variance reduction
(2)
gradient descent
(2)
parameter-efficient fine-tuning
(2)
paraphrase generation
(2)
model compression
(2)
domain adaptation
(2)
unsupervised learning
(2)
neural network optimization
(2)
distributed training
(2)
distributed learning
(2)
self-supervised learning
(2)
adversarial training
(2)
text generation
(2)
convergence analysis
(2)
model parallelism
(2)
Papers
AdaRA: Adaptive Rank Allocation of Residual Adapters for Speech Foundation Model
INTERSPEECH 2024
Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism
NIPS 2023
Re-investigating the Efficient Transfer Learning of Speech Foundation Model using Feature Fusion Methods
INTERSPEECH 2023
Pseudo Label Is Better Than Human Label
INTERSPEECH 2022
Incremental Layer-Wise Self-Supervised Learning for Efficient Unsupervised Speech Domain Adaptation On Device
INTERSPEECH 2022
On Large-Cohort Training for Federated Learning
NIPS 2021
Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling
AAAI 2021
Step-Ahead Error Feedback for Distributed Training with Compressed Gradient
AAAI 2021
A Comparison of Supervised and Unsupervised Pre-Training of End-to-End Models
INTERSPEECH 2021
A Unified q-Memorization Framework for Asynchronous Stochastic Optimization
JMLR 2020
On the Acceleration of Deep Learning Model Parallelism With Staleness
CVPR 2020
An End-to-End Generative Architecture for Paraphrase Generation
IJCNLP 2019
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization
AAAI 2019
Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy
AAAI 2019
Ouroboros: On Accelerating Training of Transformer-Based Language Models
NIPS 2019
An End-to-End Generative Architecture for Paraphrase Generation
EMNLP 2019
Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines
ICML 2018
Asynchronous Doubly Stochastic Group Regularized Learning
AISTATS 2018
Training Neural Networks Using Features Replay
NIPS 2018
Decoupled Parallel Backpropagation with Convergence Guarantee
ICML 2018
Multi-Class Support Vector Machine via Maximizing Multi-Class Margins
IJCAI 2017
Joint Capped Norms Minimization for Robust Matrix Recovery
IJCAI 2017