Zhouyuan Huo

According to our database1, Zhouyuan Huo authored at least 35 papers between 2016 and 2020.

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Bibliography

2020
Faster On-Device Training Using New Federated Momentum Algorithm.
CoRR, 2020

Large Batch Training Does Not Need Warmup.
CoRR, 2020

2019
Advances and Open Problems in Federated Learning.
CoRR, 2019

Straggler-Agnostic and Communication-Efficient Distributed Primal-Dual Algorithm for High-Dimensional Data Mining.
CoRR, 2019

Diversely Stale Parameters for Efficient Training of CNNs.
CoRR, 2019

Ouroboros: On Accelerating Training of Transformer-Based Language Models.
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.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Ego-Downward and Ambient Video based Person Location Association.
CoRR, 2018

Genotype-Phenotype association study via new multi-task learning model.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

Training Neural Networks Using Features Replay.
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.
Proceedings of the 35th International Conference on Machine Learning, 2018

Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines.
Proceedings of the 35th International Conference on Machine Learning, 2018

Asynchronous Dual Free Stochastic Dual Coordinate Ascent for Distributed Data Mining.
Proceedings of the IEEE International Conference on Data Mining, 2018

Asynchronous Doubly Stochastic Group Regularized Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Asynchronous Doubly Stochastic Sparse Kernel Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization.
CoRR, 2017

Multi-Class Support Vector Machine via Maximizing Multi-Class Margins.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Joint Capped Norms Minimization for Robust Matrix Recovery.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Video Recovery via Learning Variation and Consistency of Images.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Distributed Asynchronous Stochastic Dual Coordinate Ascent without Duality.
CoRR, 2016

Asynchronous Stochastic Gradient Descent with Variance Reduction for Non-Convex Optimization.
CoRR, 2016

Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction.
CoRR, 2016

Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization.
CoRR, 2016

Zeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction.
CoRR, 2016

Asynchronous Doubly Stochastic Proximal Optimization with Variance Reduction.
CoRR, 2016

New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment.
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.
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.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Optimal Discrete Matrix Completion.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016


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