Zhouyuan Huo

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 72

Top Topics

Domain Adaptation

Doubly Stochastic

Supervised Learning

Top Venues

Publications

Shefali Garg, Zhouyuan Huo, Khe Chai Sim, Suzan Schwartz, Mason Chua, Alëna Aksënova, Tsendsuren Munkhdalai, Levi King, Darryl Wright, Zion Mengesha, Dongseong Hwang, Tara N. Sainath, Françoise Beaufays, Pedro Moreno Mengibar
Improving Speech Recognition for African American English with Audio Classification. ICASSP (2024)
Khe Chai Sim, Zhouyuan Huo, Tsendsuren Munkhdalai, Nikhil Siddhartha, Adam Stooke, Zhong Meng, Bo Li, Tara N. Sainath
A Comparison of Parameter-Efficient ASR Domain Adaptation Methods for Universal Speech and Language Models. ICASSP (2024)
Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays
Efficient Domain Adaptation for Speech Foundation Models. ICASSP (2023)
Zhouyuan Huo, Khe Chai Sim, Bo Li, Dongseong Hwang, Tara N. Sainath, Trevor Strohman
Resource-Efficient Transfer Learning from Speech Foundation Model Using Hierarchical Feature Fusion. ICASSP (2023)
Zhouyuan Huo, Khe Chai Sim, Dongseong Hwang, Tsendsuren Munkhdalai, Tara N. Sainath, Pedro Moreno Mengibar
Re-investigating the Efficient Transfer Learning of Speech Foundation Model using Feature Fusion Methods. INTERSPEECH (2023)
Bin Gu, Chenkang Zhang, Zhouyuan Huo, Heng Huang
A new large-scale learning algorithm for generalized additive models. Mach. Learn. 112 (9) (2023)
Xiaohan Zhao, Hualin Zhang, Zhouyuan Huo, Bin Gu
Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism. NeurIPS (2023)
Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays
Efficient Domain Adaptation for Speech Foundation Models. CoRR (2023)
Shefali Garg, Zhouyuan Huo, Khe Chai Sim, Suzan Schwartz, Mason Chua, Alëna Aksënova, Tsendsuren Munkhdalai, Levi King, Darryl Wright, Zion Mengesha, Dongseong Hwang, Tara N. Sainath, Françoise Beaufays, Pedro Moreno Mengibar
Improving Speech Recognition for African American English With Audio Classification. CoRR (2023)
Dongseong Hwang, Khe Chai Sim, Zhouyuan Huo, Trevor Strohman
Pseudo Label Is Better Than Human Label. CoRR (2022)
Dongseong Hwang, Khe Chai Sim, Zhouyuan Huo, Trevor Strohman
Pseudo Label Is Better Than Human Label. INTERSPEECH (2022)
Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang
Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Dongseong Hwang, Ananya Misra, Zhouyuan Huo, Nikhil Siddhartha, Shefali Garg, David Qiu, Khe Chai Sim, Trevor Strohman, Françoise Beaufays, Yanzhang He
Large-Scale ASR Domain Adaptation Using Self- and Semi-Supervised Learning. ICASSP (2022)
Bin Gu, Zhiyuan Dang, Zhouyuan Huo, Cheng Deng, Heng Huang
Scaling Up Generalized Kernel Methods. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Zhouyuan Huo, Dongseong Hwang, Khe Chai Sim, Shefali Garg, Ananya Misra, Nikhil Siddhartha, Trevor Strohman, Françoise Beaufays
Incremental Layer-Wise Self-Supervised Learning for Efficient Unsupervised Speech Domain Adaptation On Device. INTERSPEECH (2022)
Zhouyuan Huo, Khe Chai Sim, Bo Li, Dongseong Hwang, Tara N. Sainath, Trevor Strohman
Resource-Efficient Transfer Learning From Speech Foundation Model Using Hierarchical Feature Fusion. CoRR (2022)
Tara N. Sainath, Rohit Prabhavalkar, Ankur Bapna, Yu Zhang, Zhouyuan Huo, Zhehuai Chen, Bo Li, Weiran Wang, Trevor Strohman
JOIST: A Joint Speech and Text Streaming Model For ASR. CoRR (2022)
Tara N. Sainath, Rohit Prabhavalkar, Ankur Bapna, Yu Zhang, Zhouyuan Huo, Zhehuai Chen, Bo Li, Weiran Wang, Trevor Strohman
JOIST: A Joint Speech and Text Streaming Model for ASR. SLT (2022)
Dongseong Hwang, Ananya Misra, Zhouyuan Huo, Nikhil Siddhartha, Shefali Garg, David Qiu, Khe Chai Sim, Trevor Strohman, Françoise Beaufays, Yanzhang He
Large-scale ASR Domain Adaptation using Self- and Semi-supervised Learning. CoRR (2021)
Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horvath, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu
A Field Guide to Federated Optimization. CoRR (2021)
Zhouyuan Huo, Bin Gu, Heng Huang
Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling. AAAI (2021)
Ananya Misra, Dongseong Hwang, Zhouyuan Huo, Shefali Garg, Nikhil Siddhartha, Arun Narayanan, Khe Chai Sim
A Comparison of Supervised and Unsupervised Pre-Training of End-to-End Models. Interspeech (2021)
Zachary Charles, Zachary Garrett, Zhouyuan Huo, Sergei Shmulyian, Virginia Smith
On Large-Cohort Training for Federated Learning. NeurIPS (2021)
Zhouyuan Huo, Dongseong Hwang, Khe Chai Sim, Shefali Garg, Ananya Misra, Nikhil Siddhartha, Trevor Strohman, Françoise Beaufays
Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device. CoRR (2021)
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14 (1-2) (2021)
An Xu, Zhouyuan Huo, Heng Huang
Step-Ahead Error Feedback for Distributed Training with Compressed Gradient. AAAI (2021)
Zachary Charles, Zachary Garrett, Zhouyuan Huo, Sergei Shmulyian, Virginia Smith
On Large-Cohort Training for Federated Learning. CoRR (2021)
An Xu, Zhouyuan Huo, Heng Huang
Training Faster with Compressed Gradient. CoRR (2020)
An Xu, Zhouyuan Huo, Heng Huang
On the Acceleration of Deep Learning Model Parallelism With Staleness. CVPR (2020)
Bin Gu, Wenhan Xian, Zhouyuan Huo, Cheng Deng, Heng Huang
A Unified q-Memorization Framework for Asynchronous Stochastic Optimization. J. Mach. Learn. Res. 21 (2020)
An Xu, Zhouyuan Huo, Heng Huang
Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training. CoRR (2020)
Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning. CoRR (2020)
An Xu, Zhouyuan Huo, Heng Huang
Exploit Where Optimizer Explores via Residuals. CoRR (2020)
Zhouyuan Huo, Bin Gu, Heng Huang
Large Batch Training Does Not Need Warmup. CoRR (2020)
Zhouyuan Huo, Qian Yang, Bin Gu, Lawrence Carin, Heng Huang
Faster On-Device Training Using New Federated Momentum Algorithm. CoRR (2020)
Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin
Ouroboros: On Accelerating Training of Transformer-Based Language Models. NeurIPS (2019)
Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin
An End-to-End Generative Architecture for Paraphrase Generation. EMNLP/IJCNLP (1) (2019)
Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. CoRR (2019)
Bin Gu, Zhouyuan Huo, Heng Huang
Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy. AAAI (2019)
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
Advances and Open Problems in Federated Learning. CoRR (2019)
Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. AAAI (2019)
Liang Yang, Hao Jiang, Zhouyuan Huo, Jizhong Xiao
Visual-GPS: Ego-Downward and Ambient Video Based Person Location Association. CVPR Workshops (2019)
Zhouyuan Huo, Heng Huang
Straggler-Agnostic and Communication-Efficient Distributed Primal-Dual Algorithm for High-Dimensional Data Mining. CoRR (2019)
An Xu, Zhouyuan Huo, Heng Huang
Diversely Stale Parameters for Efficient Training of CNNs. CoRR (2019)
Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin
Ouroboros: On Accelerating Training of Transformer-Based Language Models. CoRR (2019)
Zhouyuan Huo, Dinggang Shen, Heng Huang
Genotype-Phenotype association study via new multi-task learning model. PSB (2018)
Bin Gu, Zhouyuan Huo, Cheng Deng, Heng Huang
Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines. ICML (2018)
Liang Yang, Hao Jiang, Jizhong Xiao, Zhouyuan Huo
Ego-Downward and Ambient Video based Person Location Association. CoRR (2018)
Zhouyuan Huo, Xue Jiang, Heng Huang
Asynchronous Dual Free Stochastic Dual Coordinate Ascent for Distributed Data Mining. ICDM (2018)
Zhouyuan Huo, Bin Gu, Heng Huang
Training Neural Networks Using Features Replay. NeurIPS (2018)
Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang
Decoupled Parallel Backpropagation with Convergence Guarantee. CoRR (2018)
Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang
Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization. AAAI (2018)
Bin Gu, Zhouyuan Huo, Heng Huang
Asynchronous Doubly Stochastic Group Regularized Learning. AISTATS (2018)
Bin Gu, Miao Xin, Zhouyuan Huo, Heng Huang
Asynchronous Doubly Stochastic Sparse Kernel Learning. AAAI (2018)
Zhouyuan Huo, Bin Gu, Heng Huang
Training Neural Networks Using Features Replay. CoRR (2018)
Bin Gu, De Wang, Zhouyuan Huo, Heng Huang
Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization. AAAI (2018)
Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang
Decoupled Parallel Backpropagation with Convergence Guarantee. ICML (2018)
Zhouyuan Huo, Bin Gu, Heng Huang
Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization. CoRR (2017)
Zhouyuan Huo, Heng Huang
Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization. AAAI (2017)
Feiping Nie, Zhouyuan Huo, Heng Huang
Joint Capped Norms Minimization for Robust Matrix Recovery. IJCAI (2017)
Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang
Multi-Class Support Vector Machine via Maximizing Multi-Class Margins. IJCAI (2017)
Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang
Video Recovery via Learning Variation and Consistency of Images. AAAI (2017)
Bin Gu, Zhouyuan Huo, Heng Huang
Asynchronous Doubly Stochastic Proximal Optimization with Variance Reduction. CoRR (2016)
Zhouyuan Huo, Bin Gu, Heng Huang
Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction. CoRR (2016)
Zhouyuan Huo, Ji Liu, Heng Huang
Optimal Discrete Matrix Completion. AAAI (2016)
Bin Gu, Zhouyuan Huo, Heng Huang
Zeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction. CoRR (2016)
Zhouyuan Huo, Feiping Nie, Heng Huang
Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm. KDD (2016)
Bin Gu, Zhouyuan Huo, Heng Huang
Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization. CoRR (2016)
Zhouyuan Huo, Heng Huang
Distributed Asynchronous Stochastic Dual Coordinate Ascent without Duality. CoRR (2016)
Dijun Luo, Zhouyuan Huo, Yang Wang, Andrew J. Saykin, Li Shen, Heng Huang
New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules. ICDM (2016)
Zhouyuan Huo, Heng Huang
Asynchronous Stochastic Gradient Descent with Variance Reduction for Non-Convex Optimization. CoRR (2016)
Zhouyuan Huo, Dinggang Shen, Heng Huang
New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment. MICCAI (1) (2016)