Zhe Liu

Statistical Testing on ASR Performance via Blockwise Bootstrap

A common question being raised in automatic speech recognition (ASR) eva...
12/19/2019 ∙ by Zhe Liu, et al. ∙ 8 ∙ share

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Learning Nonparametric Forest Graphical Models with Prior Information

We present a framework for incorporating prior information into nonparam...
11/12/2015 ∙ by Yuancheng Zhu, et al. ∙ 0 ∙ share

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Graphical Exponential Screening

In high dimensions we propose and analyze an aggregation estimator of th...
03/09/2015 ∙ by Zhe Liu, et al. ∙ 0 ∙ share

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An Aggregation Method for Sparse Logistic Regression

L_1 regularized logistic regression has now become a workhorse of data m...
10/25/2014 ∙ by Zhe Liu, et al. ∙ 0 ∙ share

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Fostering User Engagement: Rhetorical Devices for Applause Generation Learnt from TED Talks

One problem that every presenter faces when delivering a public discours...
03/17/2017 ∙ by Zhe Liu, et al. ∙ 0 ∙ share

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Touch Your Heart: A Tone-aware Chatbot for Customer Care on Social Media

Chatbot has become an important solution to rapidly increasing customer ...
03/08/2018 ∙ by Tianran Hu, et al. ∙ 0 ∙ share

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Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks

X-ray diffraction (XRD) for crystal structure characterization is among ...
11/20/2018 ∙ by Felipe Oviedo, et al. ∙ 0 ∙ share

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3D Point Cloud Learning for Large-scale Environment Analysis and Place Recognition

In this paper, we develop a new deep neural network which can extract di...
12/11/2018 ∙ by Zhe Liu, et al. ∙ 0 ∙ share

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Beyond Google Play: A Large-Scale Comparative Study of Chinese Android App Markets

China is one of the largest Android markets in the world. As Chinese use...
09/26/2018 ∙ by Haoyu Wang, et al. ∙ 0 ∙ share

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3D Object Detection Using Scale Invariant and Feature Reweighting Networks

3D object detection plays an important role in a large number of real-wo...
01/08/2019 ∙ by Xin Zhao, et al. ∙ 0 ∙ share

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Least absolute deviations uncertain regression with imprecise observations

Traditionally regression analysis answers questions about the relationsh...
12/05/2018 ∙ by Zhe Liu, et al. ∙ 0 ∙ share

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Characterizing machine learning process: A maturity framework

Academic literature on machine learning modeling fails to address how to...
11/12/2018 ∙ by Rama Akkiraju, et al. ∙ 0 ∙ share

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Coordinating Large-Scale Robot Networks with Motion and Communication Uncertainties for Logistics Applications

In this paper, we focus on the problem of task allocation, cooperative p...
04/02/2019 ∙ by Zhe Liu, et al. ∙ 0 ∙ share

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Loop-Closure Detection Based on 3D Point Cloud Learning for Self-Driving Industry Vehicles

Self-driving industry vehicle plays a key role in the industry automatio...
04/30/2019 ∙ by Zhe Liu, et al. ∙ 0 ∙ share

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Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection

Objective: Epilepsy is a chronic neurological disorder characterized by ...
09/18/2019 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments

Visual localization is a crucial problem in mobile robotics and autonomo...
09/23/2019 ∙ by Hanjiang Hu, et al. ∙ 0 ∙ share

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GasFuzz: Generating High Gas Consumption Inputs to Avoid Out-of-Gas Vulnerability

The out-of-gas error occurs when smart contract programs are provided wi...
10/06/2019 ∙ by Fuchen Ma, et al. ∙ 0 ∙ share

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Improving N-gram Language Models with Pre-trained Deep Transformer

Although n-gram language models (LMs) have been outperformed by the stat...
11/22/2019 ∙ by Yiren Wang, et al. ∙ 0 ∙ share

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Teacher-Student Learning Paradigm for Tri-training: An Efficient Method for Unlabeled Data Exploitation

Given that labeled data is expensive to obtain in real-world scenarios, ...
09/25/2019 ∙ by Yash Bhalgat, et al. ∙ 0 ∙ share

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TANet: Robust 3D Object Detection from Point Clouds with Triple Attention

In this paper, we focus on exploring the robustness of the 3D object det...
12/11/2019 ∙ by Zhe Liu, et al. ∙ 0 ∙ share

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Zhe Liu

Featured Co-authors

Yu Zhang

Xiang Bai

Li Li

Wen Chen

Lina Yao

Xiang Zhang

Jun Sun

Yong Li

Haoyu Wang

Kaiqi Huang

Yu Zhou

Statistical Testing on ASR Performance via Blockwise Bootstrap

Learning Nonparametric Forest Graphical Models with Prior Information

Graphical Exponential Screening

An Aggregation Method for Sparse Logistic Regression

Fostering User Engagement: Rhetorical Devices for Applause Generation Learnt from TED Talks

Touch Your Heart: A Tone-aware Chatbot for Customer Care on Social Media

Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks

3D Point Cloud Learning for Large-scale Environment Analysis and Place Recognition

Beyond Google Play: A Large-Scale Comparative Study of Chinese Android App Markets

3D Object Detection Using Scale Invariant and Feature Reweighting Networks

Least absolute deviations uncertain regression with imprecise observations

Characterizing machine learning process: A maturity framework

Coordinating Large-Scale Robot Networks with Motion and Communication Uncertainties for Logistics Applications

Loop-Closure Detection Based on 3D Point Cloud Learning for Self-Driving Industry Vehicles

Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection

Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments

GasFuzz: Generating High Gas Consumption Inputs to Avoid Out-of-Gas Vulnerability

Improving N-gram Language Models with Pre-trained Deep Transformer

Teacher-Student Learning Paradigm for Tri-training: An Efficient Method for Unlabeled Data Exploitation

TANet: Robust 3D Object Detection from Point Clouds with Triple Attention