| 2024 | ICASSP | Improving Speech Recognition for African American English with Audio Classification. | Shefali Garg, Zhouyuan Huo, Khe Chai Sim, Suzan Schwartz, Mason Chua, Alna Aksnova, Tsendsuren Munkhdalai, Levi King, Darryl Wright, Zion Mengesha, Dongseong Hwang, Tara N. Sainath, Franoise Beaufays, Pedro Moreno Mengibar |
| 2024 | ICASSP | 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 |
| 2024 | Interspeech | AdaRA: Adaptive Rank Allocation of Residual Adapters for Speech Foundation Model. | Zhouyuan Huo, Dongseong Hwang, Gan Song, Khe Chai Sim, Weiran Wang |
| 2023 | ICASSP | 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 |
| 2023 | ICASSP | 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, Franoise Beaufays |
| 2023 | Interspeech | 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 |
| 2022 | ICASSP | 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, Franoise Beaufays, Yanzhang He |
| 2022 | Interspeech | 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, Franoise Beaufays |
| 2022 | Interspeech | Pseudo Label Is Better Than Human Label. | Dongseong Hwang, Khe Chai Sim, Zhouyuan Huo, Trevor Strohman |
| 2021 | AAAI | Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling. | Zhouyuan Huo, Bin Gu, Heng Huang |
| 2021 | AAAI | Step-Ahead Error Feedback for Distributed Training with Compressed Gradient. | An Xu, Zhouyuan Huo, Heng Huang |
| 2021 | Interspeech | 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 |
| 2020 | CVPR | On the Acceleration of Deep Learning Model Parallelism With Staleness. | An Xu, Zhouyuan Huo, Heng Huang |
| 2019 | AAAI | Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy. | Bin Gu, Zhouyuan Huo, Heng Huang |
| 2019 | AAAI | Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. | Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang |
| 2019 | CVPR | Visual-GPS: Ego-Downward and Ambient Video Based Person Location Association. | Liang Yang, Hao Jiang, Zhouyuan Huo, Jizhong Xiao |
| 2019 | EMNLP | An End-to-End Generative Architecture for Paraphrase Generation. | Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin |
| 2018 | AAAI | Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization. | Bin Gu, De Wang, Zhouyuan Huo, Heng Huang |
| 2018 | AAAI | Asynchronous Doubly Stochastic Sparse Kernel Learning. | Bin Gu, Miao Xin, Zhouyuan Huo, Heng Huang |
| 2018 | AAAI | Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization. | Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang |
| 2018 | AISTATS | Asynchronous Doubly Stochastic Group Regularized Learning. | Bin Gu, Zhouyuan Huo, Heng Huang |
| 2018 | ICDM | Asynchronous Dual Free Stochastic Dual Coordinate Ascent for Distributed Data Mining. | Zhouyuan Huo, Xue Jiang, Heng Huang |
| 2018 | ICML | Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines. | Bin Gu, Zhouyuan Huo, Cheng Deng, Heng Huang |
| 2018 | ICML | Decoupled Parallel Backpropagation with Convergence Guarantee. | Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang |
| 2018 | PSB | Genotype-Phenotype association study via new multi-task learning model. | Zhouyuan Huo, Dinggang Shen, Heng Huang |
| 2017 | AAAI | Video Recovery via Learning Variation and Consistency of Images. | Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang |
| 2017 | AAAI | Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization. | Zhouyuan Huo, Heng Huang |
| 2017 | IJCAI | Joint Capped Norms Minimization for Robust Matrix Recovery. | Feiping Nie, Zhouyuan Huo, Heng Huang |
| 2017 | IJCAI | Multi-Class Support Vector Machine via Maximizing Multi-Class Margins. | Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang |
| 2016 | AAAI | Optimal Discrete Matrix Completion. | Zhouyuan Huo, Ji Liu, Heng Huang |
| 2016 | ICDM | 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 |
| 2016 | KDD | Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm. | Zhouyuan Huo, Feiping Nie, Heng Huang |
| 2016 | MICCAI | New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment. | Zhouyuan Huo, Dinggang Shen, Heng Huang |