Yuhao Zhou | DeepAI

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Qi Zhang
242 publications
Jun Zhu
239 publications
Ang Li
174 publications
Wei Wu
172 publications
Antonio Torralba
148 publications
Sanja Fidler
126 publications
Xuanjing Huang
123 publications
Ziyu Wang
65 publications
Lester Mackey
60 publications
Minjia Shi
50 publications
Jimmy Ba
46 publications

∙ 09/04/2023

Federated cINN Clustering for Accurate Clustered Federated Learning

Federated Learning (FL) presents an innovative approach to privacy-prese...

0 Yuhao Zhou, et al. ∙

∙ 05/23/2023

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement

Prompting methods such as Chain-of-Thought (CoT) have shed new light on ...

0 Zhiheng Xi, et al. ∙

∙ 02/27/2023

Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence

Reducing communication overhead in federated learning (FL) is challengin...

0 Yuhao Zhou, et al. ∙

∙ 11/19/2022

Personalized Federated Learning with Hidden Information on Personalized Prior

Federated learning (FL for simplification) is a distributed machine lear...

0 Mingjia Shi, et al. ∙

∙ 11/06/2022

Robust Lottery Tickets for Pre-trained Language Models

Recent works on Lottery Ticket Hypothesis have shown that pre-trained la...

0 Rui Zheng, et al. ∙

∙ 11/02/2022

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Diffusion probabilistic models (DPMs) have achieved impressive success i...

0 Cheng Lu, et al. ∙

∙ 06/02/2022

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

Diffusion probabilistic models (DPMs) are emerging powerful generative m...

0 Cheng Lu, et al. ∙

∙ 05/22/2022

Fast Instrument Learning with Faster Rates

We investigate nonlinear instrumental variable (IV) regression given hig...

5 Ziyu Wang, et al. ∙

∙ 04/06/2022

DeFTA: A Plug-and-Play Decentralized Replacement for FedAvg

Federated learning (FL) is identified as a crucial enabler for large-sca...

1 Yuhao Zhou, et al. ∙

∙ 02/28/2022

Fuse Local and Global Semantics in Representation Learning

We propose Fuse Local and Global Semantics in Representation Learning (F...

0 Yuchi Zhao, et al. ∙

∙ 02/19/2022

Gradient Estimation with Discrete Stein Operators

Gradient estimation – approximating the gradient of an expectation with ...

0 Jiaxin Shi, et al. ∙

∙ 11/04/2021

Robust Online Detection in Serially Correlated Directed Network

As the complexity of production processes increases, the diversity of da...

0 Miaomiao Yu, et al. ∙

∙ 08/26/2021

Design of a Flying Humanoid Robot Based on Thrust Vector Control

Achieving short-distance flight helps improve the efficiency of humanoid...

0 Yuhang Li, et al. ∙

∙ 08/19/2021

Retrieval and Localization with Observation Constraints

Accurate visual re-localization is very critical to many artificial inte...

0 Yuhao Zhou, et al. ∙

∙ 06/16/2021

Scalable Quasi-Bayesian Inference for Instrumental Variable Regression

Recent years have witnessed an upsurge of interest in employing flexible...

5 Ziyu Wang, et al. ∙

∙ 04/21/2021

LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences

In educational applications, Knowledge Tracing (KT), the problem of accu...

1 Yuhao Zhou, et al. ∙

∙ 12/12/2020

Communication-Efficient Federated Learning with Compensated Overlap-FedAvg

Petabytes of data are generated each day by emerging Internet of Things ...

4 Yuhao Zhou, et al. ∙

∙ 12/11/2020

Limits of PageRank-based ranking methods in sports data

While PageRank has been extensively used to rank sport tournament partic...

0 Yuhao Zhou, et al. ∙

∙ 09/06/2020

HLSGD Hierarchical Local SGD With Stale Gradients Featuring

While distributed training significantly speeds up the training process ...

13 Yuhao Zhou, et al. ∙

∙ 07/23/2020

DBS: Dynamic Batch Size For Distributed Deep Neural Network Training

Synchronous strategies with data parallelism, such as the Synchronous St...

5 Qing Ye, et al. ∙

∙ 05/25/2020

Learning to Simulate Dynamic Environments with GameGAN

Simulation is a crucial component of any robotic system. In order to sim...

19 Seung Wook Kim, et al. ∙

∙ 05/25/2020

Visual Localization Using Semantic Segmentation and Depth Prediction

In this paper, we propose a monocular visual localization pipeline lever...

36 Huanhuan Fan, et al. ∙

∙ 05/20/2020

Nonparametric Score Estimators

Estimating the score, i.e., the gradient of log density function, from a...

0 Yuhao Zhou, et al. ∙

∙ 06/12/2019

Neural Graph Evolution: Towards Efficient Automatic Robot Design

Despite the recent successes in robotic locomotion control, the design o...

0 Tingwu Wang, et al. ∙

∙ 09/18/2017

ZhuSuan: A Library for Bayesian Deep Learning

In this paper we introduce ZhuSuan, a python probabilistic programming l...

0 Jiaxin Shi, et al. ∙

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