Zhouyuan Huo

According to our database, Zhouyuan Huo authored at least 61 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Comparison of Parameter-Efficient ASR Domain Adaptation Methods for Universal Speech and Language Models.

Khe Chai Sim, Zhouyuan Huo, Tsendsuren Munkhdalai, Nikhil Siddhartha, Adam Stooke, Zhong Meng, Bo Li, Tara N. Sainath

Proceedings of the IEEE International Conference on Acoustics, 2024

Improving Speech Recognition for African American English with Audio Classification.

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

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

A new large-scale learning algorithm for generalized additive models.

Bin Gu, Chenkang Zhang, Zhouyuan Huo, Heng Huang

Mach. Learn., September, 2023

Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism.

Xiaohan Zhao, Hualin Zhang, Zhouyuan Huo, Bin Gu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Re-investigating the Efficient Transfer Learning of Speech Foundation Model using Feature Fusion Methods.

Zhouyuan Huo, Khe Chai Sim, Dongseong Hwang, Tsendsuren Munkhdalai, Tara N. Sainath, Pedro Moreno Mengibar

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Efficient Domain Adaptation for Speech Foundation Models.

Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays

Proceedings of the IEEE International Conference on Acoustics, 2023

Resource-Efficient Transfer Learning from Speech Foundation Model Using Hierarchical Feature Fusion.

Zhouyuan Huo, Khe Chai Sim, Bo Li, Dongseong Hwang, Tara N. Sainath, Trevor Strohman

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning.

Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang

IEEE Trans. Neural Networks Learn. Syst., 2022

Scaling Up Generalized Kernel Methods.

Bin Gu, Zhiyuan Dang, Zhouyuan Huo, Cheng Deng, Heng Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

JOIST: A Joint Speech and Text Streaming Model for ASR.

Tara N. Sainath, Rohit Prabhavalkar, Ankur Bapna, Yu Zhang, Zhouyuan Huo, Zhehuai Chen, Bo Li, Weiran Wang, Trevor Strohman

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Pseudo Label Is Better Than Human Label.

Dongseong Hwang, Khe Chai Sim, Zhouyuan Huo, Trevor Strohman

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Incremental Layer-Wise Self-Supervised Learning for Efficient Unsupervised Speech Domain Adaptation On Device.

Zhouyuan Huo, Dongseong Hwang, Khe Chai Sim, Shefali Garg, Ananya Misra, Nikhil Siddhartha, Trevor Strohman, Françoise Beaufays

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Large-Scale ASR Domain Adaptation Using Self- and Semi-Supervised Learning.

Dongseong Hwang, Ananya Misra, Zhouyuan Huo, Nikhil Siddhartha, Shefali Garg, David Qiu, Khe Chai Sim, Trevor Strohman, Françoise Beaufays, Yanzhang He

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Advances and Open Problems in Federated Learning.

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

Found. Trends Mach. Learn., 2021

Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device.

Zhouyuan Huo, Dongseong Hwang, Khe Chai Sim, Shefali Garg, Ananya Misra, Nikhil Siddhartha, Trevor Strohman, Françoise Beaufays

CoRR, 2021

A Field Guide to Federated Optimization.

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 Horváth, 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

CoRR, 2021

On Large-Cohort Training for Federated Learning.

Zachary Charles, Zachary Garrett, Zhouyuan Huo, Sergei Shmulyian, Virginia Smith

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Comparison of Supervised and Unsupervised Pre-Training of End-to-End Models.

Ananya Misra, Dongseong Hwang, Zhouyuan Huo, Shefali Garg, Nikhil Siddhartha, Arun Narayanan, Khe Chai Sim

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Step-Ahead Error Feedback for Distributed Training with Compressed Gradient.

An Xu, Zhouyuan Huo, Heng Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling.

Zhouyuan Huo, Bin Gu, Heng Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Unified q-Memorization Framework for Asynchronous Stochastic Optimization.

Bin Gu, Wenhan Xian, Zhouyuan Huo, Cheng Deng, Heng Huang

J. Mach. Learn. Res., 2020

Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning.

Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang

CoRR, 2020

Training Faster with Compressed Gradient.

An Xu, Zhouyuan Huo, Heng Huang

CoRR, 2020

Exploit Where Optimizer Explores via Residuals.

An Xu, Zhouyuan Huo, Heng Huang

CoRR, 2020

Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training.

An Xu, Zhouyuan Huo, Heng Huang

CoRR, 2020

Faster On-Device Training Using New Federated Momentum Algorithm.

Zhouyuan Huo, Qian Yang, Bin Gu, Lawrence Carin, Heng Huang

CoRR, 2020

Large Batch Training Does Not Need Warmup.

Zhouyuan Huo, Bin Gu, Heng Huang

CoRR, 2020

On the Acceleration of Deep Learning Model Parallelism With Staleness.

An Xu, Zhouyuan Huo, Heng Huang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Advances and Open Problems in Federated Learning.

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

CoRR, 2019

Straggler-Agnostic and Communication-Efficient Distributed Primal-Dual Algorithm for High-Dimensional Data Mining.

Zhouyuan Huo, Heng Huang

CoRR, 2019

Diversely Stale Parameters for Efficient Training of CNNs.

An Xu, Zhouyuan Huo, Heng Huang

CoRR, 2019

Ouroboros: On Accelerating Training of Transformer-Based Language Models.

Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

An End-to-End Generative Architecture for Paraphrase Generation.

Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Visual-GPS: Ego-Downward and Ambient Video Based Person Location Association.

Liang Yang, Hao Jiang, Zhouyuan Huo, Jizhong Xiao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization.

Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy.

Bin Gu, Zhouyuan Huo, Heng Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Ego-Downward and Ambient Video based Person Location Association.

Liang Yang, Hao Jiang, Jizhong Xiao, Zhouyuan Huo

CoRR, 2018

Genotype-Phenotype association study via new multi-task learning model.

Zhouyuan Huo, Dinggang Shen, Heng Huang

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

Training Neural Networks Using Features Replay.

Zhouyuan Huo, Bin Gu, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Decoupled Parallel Backpropagation with Convergence Guarantee.

Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang

Proceedings of the 35th International Conference on Machine Learning, 2018

Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines.

Bin Gu, Zhouyuan Huo, Cheng Deng, Heng Huang

Proceedings of the 35th International Conference on Machine Learning, 2018

Asynchronous Dual Free Stochastic Dual Coordinate Ascent for Distributed Data Mining.

Zhouyuan Huo, Xue Jiang, Heng Huang

Proceedings of the IEEE International Conference on Data Mining, 2018

Asynchronous Doubly Stochastic Group Regularized Learning.

Bin Gu, Zhouyuan Huo, Heng Huang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization.

Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Asynchronous Doubly Stochastic Sparse Kernel Learning.

Bin Gu, Miao Xin, Zhouyuan Huo, Heng Huang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization.

Bin Gu, De Wang, Zhouyuan Huo, Heng Huang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization.

Zhouyuan Huo, Bin Gu, Heng Huang

CoRR, 2017

Multi-Class Support Vector Machine via Maximizing Multi-Class Margins.

Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Joint Capped Norms Minimization for Robust Matrix Recovery.

Feiping Nie, Zhouyuan Huo, Heng Huang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization.

Zhouyuan Huo, Heng Huang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Video Recovery via Learning Variation and Consistency of Images.

Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Distributed Asynchronous Stochastic Dual Coordinate Ascent without Duality.

Zhouyuan Huo, Heng Huang

CoRR, 2016

Asynchronous Stochastic Gradient Descent with Variance Reduction for Non-Convex Optimization.

Zhouyuan Huo, Heng Huang

CoRR, 2016

Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction.

Zhouyuan Huo, Bin Gu, Heng Huang

CoRR, 2016

Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization.

Bin Gu, Zhouyuan Huo, Heng Huang

CoRR, 2016

Zeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction.

Bin Gu, Zhouyuan Huo, Heng Huang

CoRR, 2016

Asynchronous Doubly Stochastic Proximal Optimization with Variance Reduction.

Bin Gu, Zhouyuan Huo, Heng Huang

CoRR, 2016

New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment.

Zhouyuan Huo, Dinggang Shen, Heng Huang

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm.

Zhouyuan Huo, Feiping Nie, Heng Huang

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules.

Dijun Luo, Zhouyuan Huo, Yang Wang, Andrew J. Saykin, Li Shen, Heng Huang

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Optimal Discrete Matrix Completion.

Zhouyuan Huo, Ji Liu, Heng Huang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016