b'Zhe Liu'

The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts

Many multi-robot planning problems are burdened by the curse of dimensio...
07/26/2021 ∙ by Amanda Prorok, et al. ∙ 17 ∙ share

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OwlEyes-Online: A Fully Automated Platform for Detecting and Localizing UI Display Issues

Graphical User Interface (GUI) provides visual bridges between software ...
07/06/2021 ∙ by Yuhui Su, et al. ∙ 0 ∙ share

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Motion Projection Consistency Based 3D Human Pose Estimation with Virtual Bones from Monocular Videos

Real-time 3D human pose estimation is crucial for human-computer interac...
06/28/2021 ∙ by Guangming Wang, et al. ∙ 0 ∙ share

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When and Why does a Model Fail? A Human-in-the-loop Error Detection Framework for Sentiment Analysis

Although deep neural networks have been widely employed and proven effec...
06/02/2021 ∙ by Zhe Liu, et al. ∙ 0 ∙ share

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CREAMS: Copyrighted Cloud Media Sharing

The advent of the big data era drives the media data owner to seek help ...
05/19/2021 ∙ by Yushu Zhang, et al. ∙ 0 ∙ share

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Accountable Error Characterization

Customers of machine learning systems demand accountability from the com...
05/10/2021 ∙ by Amita Misra, et al. ∙ 0 ∙ share

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Attribute-Modulated Generative Meta Learning for Zero-Shot Classification

Zero-shot learning (ZSL) aims to transfer knowledge from seen classes to...
04/22/2021 ∙ by Yun Li, et al. ∙ 0 ∙ share

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Toward Native Artificial Intelligence in 6G Networks: System Design, Architectures, and Paradigms

The mobile communication system has transformed to be the fundamental in...
03/04/2021 ∙ by Jianjun Wu, et al. ∙ 0 ∙ share

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Task Aligned Generative Meta-learning for Zero-shot Learning

Zero-shot learning (ZSL) refers to the problem of learning to classify i...
03/03/2021 ∙ by Zhe Liu, et al. ∙ 0 ∙ share

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GAKP: GRU Association and Kalman Prediction for Multiple Object Tracking

Multiple Object Tracking (MOT) has been a useful yet challenging task in...
12/28/2020 ∙ by Zhen Li, et al. ∙ 0 ∙ share

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Anchor-Based Spatial-Temporal Attention Convolutional Networks for Dynamic 3D Point Cloud Sequences

Recently, learning based methods for the robot perception from the image...
12/20/2020 ∙ by Guangming Wang, et al. ∙ 0 ∙ share

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vLPD-Net: A Registration-aided Domain Adaptation Network for 3D Point Cloud Based Place Recognition

In the field of large-scale SLAM for autonomous driving and mobile robot...
12/09/2020 ∙ by Zhijian Qiao, et al. ∙ 0 ∙ share

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ProMask: Probability Mask for Skeleton Detection

Detecting object skeletons in natural images presents challenging, due t...
12/05/2020 ∙ by Xiuxiu Bai, et al. ∙ 3 ∙ share

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PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization

A novel 3D point cloud learning model for deep LiDAR odometry, named PWC...
12/02/2020 ∙ by Guangming Wang, et al. ∙ 0 ∙ share

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Federated Marginal Personalization for ASR Rescoring

We introduce federated marginal personalization (FMP), a novel method fo...
12/01/2020 ∙ by Zhe Liu, et al. ∙ 0 ∙ share

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End-to-End 3D Point Cloud Learning for Registration Task Using Virtual Correspondences

3D Point cloud registration is still a very challenging topic due to the...
11/30/2020 ∙ by Zhijian Qiao, et al. ∙ 0 ∙ share

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Spherical Interpolated Convolutional Network with Distance-Feature Density for 3D Semantic Segmentation of Point Clouds

The semantic segmentation of point clouds is an important part of the en...
11/27/2020 ∙ by Guangming Wang, et al. ∙ 8 ∙ share

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3D Invisible Cloak

In this paper, we propose a novel physical stealth attack against the pe...
11/27/2020 ∙ by Mingfu Xue, et al. ∙ 0 ∙ share

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Use the Spear as a Shield: A Novel Adversarial Example based Privacy-Preserving Technique against Membership Inference Attacks

Recently, the membership inference attack poses a serious threat to the ...
11/27/2020 ∙ by Mingfu Xue, et al. ∙ 0 ∙ share

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Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning

The domains of transport and logistics are increasingly relying on auton...
11/26/2020 ∙ by Qingbiao Li, et al. ∙ 5 ∙ share

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Achieving Sample-Efficient and Online-Training-Safe Deep Reinforcement Learning with Base Controllers

Application of Deep Reinforcement Learning (DRL) algorithms in real-worl...
11/24/2020 ∙ by Minjian Xin, et al. ∙ 0 ∙ share

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Hierarchical Attention Learning of Scene Flow in 3D Point Clouds

Scene flow represents the 3D motion of every point in the dynamic enviro...
10/12/2020 ∙ by Guangming Wang, et al. ∙ 0 ∙ share

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DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based Localization

Long-Term visual localization under changing environments is a challengi...
10/01/2020 ∙ by Hanjiang Hu, et al. ∙ 0 ∙ share

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Domain-invariant Similarity Activation Map Metric Learning for Retrieval-based Long-term Visual Localization

Visual localization is a crucial component in the application of mobile ...
09/16/2020 ∙ by Hanjiang Hu, et al. ∙ 16 ∙ share

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Owl Eyes: Spotting UI Display Issues via Visual Understanding

Graphical User Interface (GUI) provides a visual bridge between a softwa...
09/03/2020 ∙ by Zhe Liu, et al. ∙ 0 ∙ share

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EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection

In this paper, we aim at addressing two critical issues in the 3D detect...
07/17/2020 ∙ by Tengteng Huang, et al. ∙ 0 ∙ share

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Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding

Predicting consumers' purchasing behaviors is critical for targeted adve...
07/14/2020 ∙ by Zhe Liu, et al. ∙ 0 ∙ share

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Spectrum-Guided Adversarial Disparity Learning

It has been a significant challenge to portray intraclass disparity prec...
07/14/2020 ∙ by Zhe Liu, et al. ∙ 0 ∙ share

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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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Zhe Liu

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