Zhouyuan Huo - RankMe

74 papers A* 22A 6Misc 6Journal 36Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Stagewise Training With Exponentially Growing Training Sets. IEEE Trans. Neural Networks Learn. Syst. Bin Gu, Hilal AlQuabeh, William de Vazelhes, Zhouyuan Huo, Heng Huang
2024	Misc	`conf`	A Comparison of Parameter-Efficient ASR Domain Adaptation Methods for Universal Speech and Language Models. ICASSP Khe Chai Sim, Zhouyuan Huo, Tsendsuren Munkhdalai, Nikhil Siddhartha, Adam Stooke, Zhong Meng, Bo Li, Tara N. Sainath
2024	A	`conf`	AdaRA: Adaptive Rank Allocation of Residual Adapters for Speech Foundation Model. INTERSPEECH Zhouyuan Huo, Dongseong Hwang, Gan Song, Khe Chai Sim, Weiran Wang
2024	Misc	`conf`	Improving Speech Recognition for African American English with Audio Classification. ICASSP 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
2023	J	`jnl`	A new large-scale learning algorithm for generalized additive models. Mach. Learn. Bin Gu, Chenkang Zhang, Zhouyuan Huo, Heng Huang
2023	A*	`conf`	Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism. NeurIPS Xiaohan Zhao, Hualin Zhang, Zhouyuan Huo, Bin Gu
2023	Misc	`conf`	Efficient Domain Adaptation for Speech Foundation Models. ICASSP Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays
2023	J	`jnl`	Efficient Domain Adaptation for Speech Foundation Models. CoRR Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays
2023	J	`jnl`	Improving Speech Recognition for African American English With Audio Classification. CoRR 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
2023	A	`conf`	Re-investigating the Efficient Transfer Learning of Speech Foundation Model using Feature Fusion Methods. INTERSPEECH Zhouyuan Huo, Khe Chai Sim, Dongseong Hwang, Tsendsuren Munkhdalai, Tara N. Sainath, Pedro Moreno Mengibar
2023	Misc	`conf`	Resource-Efficient Transfer Learning from Speech Foundation Model Using Hierarchical Feature Fusion. ICASSP Zhouyuan Huo, Khe Chai Sim, Bo Li, Dongseong Hwang, Tara N. Sainath, Trevor Strohman
2022	A	`conf`	Incremental Layer-Wise Self-Supervised Learning for Efficient Unsupervised Speech Domain Adaptation On Device. INTERSPEECH Zhouyuan Huo, Dongseong Hwang, Khe Chai Sim, Shefali Garg, Ananya Misra, Nikhil Siddhartha, Trevor Strohman, Françoise Beaufays
2022	J	`jnl`	JOIST: A Joint Speech and Text Streaming Model For ASR. CoRR Tara N. Sainath, Rohit Prabhavalkar, Ankur Bapna, Yu Zhang, Zhouyuan Huo, Zhehuai Chen, Bo Li, Weiran Wang, Trevor Strohman
2022	—	`conf`	JOIST: A Joint Speech and Text Streaming Model for ASR. SLT Tara N. Sainath, Rohit Prabhavalkar, Ankur Bapna, Yu Zhang, Zhouyuan Huo, Zhehuai Chen, Bo Li, Weiran Wang, Trevor Strohman
2022	Misc	`conf`	Large-Scale ASR Domain Adaptation Using Self- and Semi-Supervised Learning. ICASSP Dongseong Hwang, Ananya Misra, Zhouyuan Huo, Nikhil Siddhartha, Shefali Garg, David Qiu, Khe Chai Sim, Trevor Strohman, Françoise Beaufays, Yanzhang He
2022	J	`jnl`	Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning. IEEE Trans. Neural Networks Learn. Syst. Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang
2022	A	`conf`	Pseudo Label Is Better Than Human Label. INTERSPEECH Dongseong Hwang, Khe Chai Sim, Zhouyuan Huo, Trevor Strohman
2022	J	`jnl`	Pseudo Label Is Better Than Human Label. CoRR Dongseong Hwang, Khe Chai Sim, Zhouyuan Huo, Trevor Strohman
2022	J	`jnl`	Resource-Efficient Transfer Learning From Speech Foundation Model Using Hierarchical Feature Fusion. CoRR Zhouyuan Huo, Khe Chai Sim, Bo Li, Dongseong Hwang, Tara N. Sainath, Trevor Strohman
2022	J	`jnl`	Scaling Up Generalized Kernel Methods. IEEE Trans. Pattern Anal. Mach. Intell. Bin Gu, Zhiyuan Dang, Zhouyuan Huo, Cheng Deng, Heng Huang
2021	A	`conf`	A Comparison of Supervised and Unsupervised Pre-Training of End-to-End Models. Interspeech Ananya Misra, Dongseong Hwang, Zhouyuan Huo, Shefali Garg, Nikhil Siddhartha, Arun Narayanan, Khe Chai Sim
2021	J	`jnl`	A Field Guide to Federated Optimization. CoRR 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
2021	J	`jnl`	Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 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
2021	J	`jnl`	Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device. CoRR Zhouyuan Huo, Dongseong Hwang, Khe Chai Sim, Shefali Garg, Ananya Misra, Nikhil Siddhartha, Trevor Strohman, Françoise Beaufays
2021	A*	`conf`	Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling. AAAI Zhouyuan Huo, Bin Gu, Heng Huang
2021	J	`jnl`	Large-scale ASR Domain Adaptation using Self- and Semi-supervised Learning. CoRR Dongseong Hwang, Ananya Misra, Zhouyuan Huo, Nikhil Siddhartha, Shefali Garg, David Qiu, Khe Chai Sim, Trevor Strohman, Françoise Beaufays, Yanzhang He
2021	A*	`conf`	On Large-Cohort Training for Federated Learning. NeurIPS Zachary Charles, Zachary Garrett, Zhouyuan Huo, Sergei Shmulyian, Virginia Smith
2021	J	`jnl`	On Large-Cohort Training for Federated Learning. CoRR Zachary Charles, Zachary Garrett, Zhouyuan Huo, Sergei Shmulyian, Virginia Smith
2021	A*	`conf`	Step-Ahead Error Feedback for Distributed Training with Compressed Gradient. AAAI An Xu, Zhouyuan Huo, Heng Huang
2020	J	`jnl`	A Unified q-Memorization Framework for Asynchronous Stochastic Optimization. J. Mach. Learn. Res. Bin Gu, Wenhan Xian, Zhouyuan Huo, Cheng Deng, Heng Huang
2020	J	`jnl`	Exploit Where Optimizer Explores via Residuals. CoRR An Xu, Zhouyuan Huo, Heng Huang
2020	J	`jnl`	Faster On-Device Training Using New Federated Momentum Algorithm. CoRR Zhouyuan Huo, Qian Yang, Bin Gu, Lawrence Carin, Heng Huang
2020	J	`jnl`	Large Batch Training Does Not Need Warmup. CoRR Zhouyuan Huo, Bin Gu, Heng Huang
2020	A*	`conf`	On the Acceleration of Deep Learning Model Parallelism With Staleness. CVPR An Xu, Zhouyuan Huo, Heng Huang
2020	J	`jnl`	Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training. CoRR An Xu, Zhouyuan Huo, Heng Huang
2020	J	`jnl`	Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning. CoRR Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang
2020	J	`jnl`	Training Faster with Compressed Gradient. CoRR An Xu, Zhouyuan Huo, Heng Huang
2019	J	`jnl`	Advances and Open Problems in Federated Learning. CoRR 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
2019	—	`conf`	An End-to-End Generative Architecture for Paraphrase Generation. EMNLP/IJCNLP (1) Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin
2019	J	`jnl`	Diversely Stale Parameters for Efficient Training of CNNs. CoRR An Xu, Zhouyuan Huo, Heng Huang
2019	A*	`conf`	Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. AAAI Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang
2019	J	`jnl`	Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. CoRR Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang
2019	A*	`conf`	Ouroboros: On Accelerating Training of Transformer-Based Language Models. NeurIPS Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin
2019	J	`jnl`	Ouroboros: On Accelerating Training of Transformer-Based Language Models. CoRR Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin
2019	A*	`conf`	Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy. AAAI Bin Gu, Zhouyuan Huo, Heng Huang
2019	J	`jnl`	Straggler-Agnostic and Communication-Efficient Distributed Primal-Dual Algorithm for High-Dimensional Data Mining. CoRR Zhouyuan Huo, Heng Huang
2019	—	`conf`	Visual-GPS: Ego-Downward and Ambient Video Based Person Location Association. CVPR Workshops Liang Yang, Hao Jiang, Zhouyuan Huo, Jizhong Xiao
2018	A*	`conf`	Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization. AAAI Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang
2018	A	`conf`	Asynchronous Doubly Stochastic Group Regularized Learning. AISTATS Bin Gu, Zhouyuan Huo, Heng Huang
2018	A*	`conf`	Asynchronous Doubly Stochastic Sparse Kernel Learning. AAAI Bin Gu, Miao Xin, Zhouyuan Huo, Heng Huang
2018	A*	`conf`	Asynchronous Dual Free Stochastic Dual Coordinate Ascent for Distributed Data Mining. ICDM Zhouyuan Huo, Xue Jiang, Heng Huang
2018	A*	`conf`	Decoupled Parallel Backpropagation with Convergence Guarantee. ICML Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang
2018	J	`jnl`	Decoupled Parallel Backpropagation with Convergence Guarantee. CoRR Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang
2018	J	`jnl`	Ego-Downward and Ambient Video based Person Location Association. CoRR Liang Yang, Hao Jiang, Jizhong Xiao, Zhouyuan Huo
2018	A*	`conf`	Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines. ICML Bin Gu, Zhouyuan Huo, Cheng Deng, Heng Huang
2018	Misc	`conf`	Genotype-Phenotype association study via new multi-task learning model. PSB Zhouyuan Huo, Dinggang Shen, Heng Huang
2018	A*	`conf`	Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization. AAAI Bin Gu, De Wang, Zhouyuan Huo, Heng Huang
2018	A*	`conf`	Training Neural Networks Using Features Replay. NeurIPS Zhouyuan Huo, Bin Gu, Heng Huang
2018	J	`jnl`	Training Neural Networks Using Features Replay. CoRR Zhouyuan Huo, Bin Gu, Heng Huang
2017	J	`jnl`	Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization. CoRR Zhouyuan Huo, Bin Gu, Heng Huang
2017	A*	`conf`	Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization. AAAI Zhouyuan Huo, Heng Huang
2017	A*	`conf`	Joint Capped Norms Minimization for Robust Matrix Recovery. IJCAI Feiping Nie, Zhouyuan Huo, Heng Huang
2017	A*	`conf`	Multi-Class Support Vector Machine via Maximizing Multi-Class Margins. IJCAI Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang
2017	A*	`conf`	Video Recovery via Learning Variation and Consistency of Images. AAAI Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang
2016	J	`jnl`	Asynchronous Doubly Stochastic Proximal Optimization with Variance Reduction. CoRR Bin Gu, Zhouyuan Huo, Heng Huang
2016	J	`jnl`	Asynchronous Stochastic Gradient Descent with Variance Reduction for Non-Convex Optimization. CoRR Zhouyuan Huo, Heng Huang
2016	J	`jnl`	Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction. CoRR Zhouyuan Huo, Bin Gu, Heng Huang
2016	J	`jnl`	Distributed Asynchronous Stochastic Dual Coordinate Ascent without Duality. CoRR Zhouyuan Huo, Heng Huang
2016	J	`jnl`	Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization. CoRR Bin Gu, Zhouyuan Huo, Heng Huang
2016	—	`conf`	New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment. MICCAI (1) Zhouyuan Huo, Dinggang Shen, Heng Huang
2016	A*	`conf`	New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules. ICDM Dijun Luo, Zhouyuan Huo, Yang Wang, Andrew J. Saykin, Li Shen, Heng Huang
2016	A*	`conf`	Optimal Discrete Matrix Completion. AAAI Zhouyuan Huo, Ji Liu, Heng Huang
2016	A*	`conf`	Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm. KDD Zhouyuan Huo, Feiping Nie, Heng Huang
2016	J	`jnl`	Zeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction. CoRR Bin Gu, Zhouyuan Huo, Heng Huang