Yuan Zhao | DeepAI

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Featured Co-authors

Yu Zhang
406 publications
Fei Wang
209 publications
Houqiang Li
144 publications
Jian Tang
129 publications
Ge Li
114 publications
Ran He
100 publications
Jieping Ye
93 publications
Yuan Luo
72 publications
Samet Oymak
50 publications
Lei Huang
49 publications
Bo Zhao
42 publications

∙ 06/01/2023

Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains

Latent Gaussian process (GP) models are widely used in neuroscience to u...

0 Matthew Dowling, et al. ∙

∙ 05/31/2023

FEED PETs: Further Experimentation and Expansion on the Disambiguation of Potentially Euphemistic Terms

Transformers have been shown to work well for the task of English euphem...

0 Patrick Lee, et al. ∙

∙ 05/18/2023

Real-Time Variational Method for Learning Neural Trajectory and its Dynamics

Latent variable models have become instrumental in computational neurosc...

0 Matthew Dowling, et al. ∙

∙ 01/13/2023

OA-BEV: Bringing Object Awareness to Bird's-Eye-View Representation for Multi-Camera 3D Object Detection

The recent trend for multi-camera 3D object detection is through the uni...

0 Xiaomeng Chu, et al. ∙

∙ 03/10/2022

Program Repair: Automated vs. Manual

Various automated program repair (APR) techniques have been proposed to ...

0 Quanjun Zhang, et al. ∙

∙ 09/24/2021

MORSE-STF: A Privacy Preserving Computation System

Privacy-preserving machine learning has become a popular area of researc...

0 Qizhi Zhang, et al. ∙

∙ 04/08/2021

One-bit Spectrum Sensing with the Eigenvalue Moment Ratio Approach

One-bit analog-to-digital converter (ADC), performing signal sampling as...

0 Yuan Zhao, et al. ∙

∙ 10/26/2020

P^2 Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation

We propose an augmented Parallel-Pyramid Net (P^2 Net) with feature refi...

0 Luanxuan Hou, et al. ∙

∙ 10/23/2020

Rescuing neural spike train models from bad MLE

The standard approach to fitting an autoregressive spike train model is ...

0 Diego M. Arribas, et al. ∙

∙ 09/02/2020

Non-parametric generalized linear model

A fundamental problem in statistical neuroscience is to model how neuron...

9 Matthew Dowling, et al. ∙

∙ 07/21/2020

Machine Learning in Population and Public Health

Research in population and public health focuses on the mechanisms betwe...

0 Vishwali Mhasawade, et al. ∙

∙ 03/17/2020

Augmented Parallel-Pyramid Net for Attention Guided Pose-Estimation

The target of human pose estimation is to determine body part or joint l...

0 Luanxuan Hou, et al. ∙

∙ 02/23/2020

On the Role of Dataset Quality and Heterogeneity in Model Confidence

Safety-critical applications require machine learning models that output...

0 Yuan Zhao, et al. ∙

∙ 06/04/2019

Streaming Variational Monte Carlo

Nonlinear state-space models are powerful tools to describe dynamical st...

0 Yuan Zhao, et al. ∙

∙ 02/24/2019

Bi-Skip: A Motion Deblurring Network Using Self-paced Learning

A fast and effective motion deblurring method has great application valu...

0 Yiwei Zhang, et al. ∙

∙ 09/27/2018

Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk

ICU mortality risk prediction is a tough yet important task. On one hand...

0 Guoqing Chao, et al. ∙

∙ 06/12/2018

Are My EHRs Private Enough? -Event-level Privacy Protection

Privacy is a major concern in sharing human subject data to researchers ...

0 Chengsheng Mao, et al. ∙

∙ 07/27/2017

Recursive Variational Bayesian Dual Estimation for Nonlinear Dynamics and Non-Gaussian Observations

State space models provide an interpretable framework for complex time s...

0 Yuan Zhao, et al. ∙

∙ 04/11/2016

Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains

When governed by underlying low-dimensional dynamics, the interdependenc...

0 Yuan Zhao, et al. ∙

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