Zhe Liu

Agglomerative Neural Networks for Multi-view Clustering

Conventional multi-view clustering methods seek for a view consensus thr...
05/12/2020 ∙ by Zhe Liu, et al. ∙ 0 ∙ share

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Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning

Path planning for mobile robots in large dynamic environments is a chall...
05/11/2020 ∙ by Binyu Wang, et al. ∙ 0 ∙ share

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Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction

Most current studies on survey analysis and risk tolerance modelling lac...
04/18/2020 ∙ by Zhe Liu, et al. ∙ 0 ∙ share

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Zhe Liu

Featured Co-authors

Yu Zhang

Li Li

Xiang Bai

Lina Yao

Wen Chen

Xiang Zhang

Jun Sun

Yong Li

Haoyu Wang

Yu Zhou

Kaiqi Huang

Agglomerative Neural Networks for Multi-view Clustering

Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning

Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction

Statistical Testing on ASR Performance via Blockwise Bootstrap

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

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

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

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

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

Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection

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

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

3D Object Detection Using Scale Invariant and Feature Reweighting Networks

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

Least absolute deviations uncertain regression with imprecise observations

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

Characterizing machine learning process: A maturity framework

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

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

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

Learning Nonparametric Forest Graphical Models with Prior Information

Graphical Exponential Screening

An Aggregation Method for Sparse Logistic Regression