← Authors

Zhouyuan Huo

22 papers · 2017–2024 · 10 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (11) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion (2) 🀝 Dynamic Duo (12) πŸ—ƒοΈ Keyword Collector (99) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (22) πŸ”₯ 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

Heng Huang (12) Bin Gu (9) Dongseong Hwang (5) Khe Chai Sim (5) Cheng Deng (3) Qian Yang (3) Lawrence Carin (3) Wenlin Wang (3) An Xu (2) Trevor Strohman (2)

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