Optimal Discrete Matrix Completion. - Zhouyuan Huo; Ji Liu; Heng Huang (AAAI, 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 001; Heng Huang (ICDM, 2016)

Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm. - Zhouyuan Huo; Feiping Nie 001; Heng Huang (KDD, 2016)

New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment. - Zhouyuan Huo; Dinggang Shen; Heng Huang (MICCAI (1), 2016)

Asynchronous Doubly Stochastic Proximal Optimization with Variance Reduction. - Bin Gu 001; Zhouyuan Huo; Heng Huang (CoRR, 2016)

Zeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction. - Bin Gu 001; Zhouyuan Huo; Heng Huang (CoRR, 2016)

Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization. - Bin Gu 001; Zhouyuan Huo; Heng Huang (CoRR, 2016)

Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction. - Zhouyuan Huo; Bin Gu 001; Heng Huang (CoRR, 2016)

Asynchronous Stochastic Gradient Descent with Variance Reduction for Non-Convex Optimization. - Zhouyuan Huo; Heng Huang (CoRR, 2016)

Distributed Asynchronous Stochastic Dual Coordinate Ascent without Duality. - Zhouyuan Huo; Heng Huang (CoRR, 2016)

Video Recovery via Learning Variation and Consistency of Images. - Zhouyuan Huo; Shangqian Gao; Weidong Cai 001; Heng Huang (AAAI, 2017)

Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization. - Zhouyuan Huo; Heng Huang (AAAI, 2017)

Joint Capped Norms Minimization for Robust Matrix Recovery. - Feiping Nie 001; Zhouyuan Huo; Heng Huang (IJCAI, 2017)

Multi-Class Support Vector Machine via Maximizing Multi-Class Margins. - Jie Xu 012; Xianglong Liu 001; Zhouyuan Huo; Cheng Deng; Feiping Nie 001; Heng Huang (IJCAI, 2017)

Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization. - Zhouyuan Huo; Bin Gu 001; Heng Huang (CoRR, 2017)

Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization. - Bin Gu 001; De Wang; Zhouyuan Huo; Heng Huang (AAAI, 2018)

Asynchronous Doubly Stochastic Sparse Kernel Learning. - Bin Gu 001; Miao Xin; Zhouyuan Huo; Heng Huang (AAAI, 2018)

Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization. - Zhouyuan Huo; Bin Gu 001; Ji Liu; Heng Huang (AAAI, 2018)

Asynchronous Doubly Stochastic Group Regularized Learning. - Bin Gu 001; Zhouyuan Huo; Heng Huang (AISTATS, 2018)

Asynchronous Dual Free Stochastic Dual Coordinate Ascent for Distributed Data Mining. - Zhouyuan Huo; Xue Jiang; Heng Huang (ICDM, 2018)

Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines. - Bin Gu 001; Zhouyuan Huo; Cheng Deng; Heng Huang (ICML, 2018)

Decoupled Parallel Backpropagation with Convergence Guarantee. - Zhouyuan Huo; Bin Gu 001; Qian Yang 003; Heng Huang (ICML, 2018)

Training Neural Networks Using Features Replay. - Zhouyuan Huo; Bin Gu 001; Heng Huang (NeurIPS, 2018)

Genotype-Phenotype association study via new multi-task learning model. - Zhouyuan Huo; Dinggang Shen; Heng Huang (PSB, 2018)

Ego-Downward and Ambient Video based Person Location Association. - Liang Yang; Hao Jiang; Jizhong Xiao; Zhouyuan Huo (CoRR, 2018)

Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy. - Bin Gu 001; Zhouyuan Huo; Heng Huang (AAAI, 2019)

Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. - Feihu Huang 001; Bin Gu 001; Zhouyuan Huo; Songcan Chen; Heng Huang (AAAI, 2019)

Visual-GPS: Ego-Downward and Ambient Video Based Person Location Association. - Liang Yang; Hao Jiang; Zhouyuan Huo; Jizhong Xiao (CVPR Workshops, 2019)

An End-to-End Generative Architecture for Paraphrase Generation. - Qian Yang 003; Zhouyuan Huo; Dinghan Shen; Yong Cheng; Wenlin Wang; Guoyin Wang 002; Lawrence Carin (EMNLP/IJCNLP (1), 2019)

Ouroboros: On Accelerating Training of Transformer-Based Language Models. - Qian Yang 003; Zhouyuan Huo; Wenlin Wang; Heng Huang; Lawrence Carin (NeurIPS, 2019)

Diversely Stale Parameters for Efficient Training of CNNs. - An Xu; Zhouyuan Huo; Heng Huang (CoRR, 2019)

Straggler-Agnostic and Communication-Efficient Distributed Primal-Dual Algorithm for High-Dimensional Data Mining. - Zhouyuan Huo; Heng Huang (CoRR, 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; et al. (CoRR, 2019)

On the Acceleration of Deep Learning Model Parallelism With Staleness. - An Xu; Zhouyuan Huo; Heng Huang (CVPR, 2020)

Large Batch Training Does Not Need Warmup. - Zhouyuan Huo; Bin Gu 001; Heng Huang (CoRR, 2020)

Faster On-Device Training Using New Federated Momentum Algorithm. - Zhouyuan Huo; Qian Yang 003; Bin Gu 001; Lawrence Carin; Heng Huang (CoRR, 2020)

Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training. - An Xu; Zhouyuan Huo; Heng Huang (CoRR, 2020)

Exploit Where Optimizer Explores via Residuals. - An Xu; Zhouyuan Huo; Heng Huang (CoRR, 2020)

Training Faster with Compressed Gradient. - An Xu; Zhouyuan Huo; Heng Huang (CoRR, 2020)

Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning. - Bin Gu 001; An Xu; Zhouyuan Huo; Cheng Deng; Heng Huang (CoRR, 2020)

A Unified q-Memorization Framework for Asynchronous Stochastic Optimization. - Bin Gu 001; Wenhan Xian; Zhouyuan Huo; Cheng Deng; Heng Huang (J. Mach. Learn. Res., 2020)

Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling. - Zhouyuan Huo; Bin Gu 001; Heng Huang (AAAI, 2021)

Step-Ahead Error Feedback for Distributed Training with Compressed Gradient. - An Xu; Zhouyuan Huo; Heng Huang (AAAI, 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 (Interspeech, 2021)

On Large-Cohort Training for Federated Learning. - Zachary Charles; Zachary Garrett; Zhouyuan Huo; Sergei Shmulyian; Virginia Smith (NeurIPS, 2021)

A Field Guide to Federated Optimization. - Jianyu Wang; Zachary Charles; Zheng Xu 002; Gauri Joshi; H. Brendan McMahan; Blaise Agüera y Arcas; Maruan Al-Shedivat; Galen Andrew; Salman Avestimehr; Katharine Daly; Deepesh Data; Suhas N. Diggavi; et al. (CoRR, 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)

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; et al. (Found. Trends Mach. Learn., 2021)

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 (ICASSP, 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 (INTERSPEECH, 2022)

Pseudo Label Is Better Than Human Label. - Dongseong Hwang; Khe Chai Sim; Zhouyuan Huo; Trevor Strohman (INTERSPEECH, 2022)

JOIST: A Joint Speech and Text Streaming Model for ASR. - Tara N. Sainath; Rohit Prabhavalkar; Ankur Bapna; Yu Zhang 033; Zhouyuan Huo; Zhehuai Chen; Bo Li 028; Weiran Wang; Trevor Strohman (SLT, 2022)

Scaling Up Generalized Kernel Methods. - Bin Gu 001; Zhiyuan Dang; Zhouyuan Huo; Cheng Deng; Heng Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning. - Bin Gu 001; An Xu; Zhouyuan Huo; Cheng Deng; Heng Huang (IEEE Trans. Neural Networks Learn. Syst., 2022)

Resource-Efficient Transfer Learning from Speech Foundation Model Using Hierarchical Feature Fusion. - Zhouyuan Huo; Khe Chai Sim; Bo Li 028; Dongseong Hwang; Tara N. Sainath; Trevor Strohman (ICASSP, 2023)

Efficient Domain Adaptation for Speech Foundation Models. - Bo Li 028; Dongseong Hwang; Zhouyuan Huo; Junwen Bai; Guru Prakash; Tara N. Sainath; Khe Chai Sim; Yu Zhang 033; Wei Han 002; Trevor Strohman; Françoise Beaufays (ICASSP, 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 (INTERSPEECH, 2023)

Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism. - Xiaohan Zhao; Hualin Zhang; Zhouyuan Huo; Bin Gu 001 (NeurIPS, 2023)

A new large-scale learning algorithm for generalized additive models. - Bin Gu 001; Chenkang Zhang; Zhouyuan Huo; Heng Huang (Mach. Learn., 2023)

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; et al. (ICASSP, 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 028; Tara N. Sainath (ICASSP, 2024)

AdaRA: Adaptive Rank Allocation of Residual Adapters for Speech Foundation Model. - Zhouyuan Huo; Dongseong Hwang; Gan Song; Khe Chai Sim; Weiran Wang (INTERSPEECH, 2024)

Stagewise Training With Exponentially Growing Training Sets. - Bin Gu 001; Hilal AlQuabeh; William de Vazelhes; Zhouyuan Huo; Heng Huang (IEEE Trans. Neural Networks Learn. Syst., 2025)