b'Zhe Liu'

research

∙ 08/01/2022

Learning to Navigate using Visual Sensor Networks

We consider the problem of navigating a mobile robot towards a target in...

Jan Blumenkamp, et al. ∙

research

∙ 07/19/2022

What Matters for 3D Scene Flow Network

3D scene flow estimation from point clouds is a low-level 3D motion perc...

Guangming Wang, et al. ∙

research

∙ 06/02/2022

SparseDet: Towards End-to-End 3D Object Detection

In this paper, we propose SparseDet for end-to-end 3D object detection f...

Jianhong Han, et al. ∙

research

∙ 05/27/2022

NaviDroid: A Tool for Guiding Manual Android Testing via Hint Moves

Manual testing, as a complement to automated GUI testing, is the last li...

Zhe Liu, et al. ∙

research

∙ 05/27/2022

Nighthawk: Fully Automated Localizing UI Display Issues via Visual Understanding

Graphical User Interface (GUI) provides a visual bridge between a softwa...

Zhe Liu, et al. ∙

research

∙ 05/20/2022

Emergence of Double-slit Interference by Representing Visual Space in Artificial Neural Networks

Artificial neural networks have realized incredible successes at image r...

Xiuxiu Bai, et al. ∙

research

∙ 05/20/2022

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection

Deep graph learning has achieved remarkable progresses in both business ...

Bingzhe Wu, et al. ∙

research

∙ 05/03/2022

Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis

EEG-based tinnitus classification is a valuable tool for tinnitus diagno...

Zhe Liu, et al. ∙

research

∙ 05/03/2022

Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus

With the development of digital technology, machine learning has paved t...

Yun Li, et al. ∙

research

∙ 04/04/2022

FedSynth: Gradient Compression via Synthetic Data in Federated Learning

Model compression is important in federated learning (FL) with large mod...

Shengyuan Hu, et al. ∙

research

∙ 01/28/2022

Guided Bug Crush: Assist Manual GUI Testing of Android Apps via Hint Moves

Mobile apps are indispensable for people's daily life. Complementing wit...

Zhe Liu, et al. ∙

research

∙ 01/28/2022

Neural-FST Class Language Model for End-to-End Speech Recognition

We propose Neural-FST Class Language Model (NFCLM) for end-to-end speech...

Antoine Bruguier, et al. ∙

research

∙ 01/06/2022

Balancing Generalization and Specialization in Zero-shot Learning

Zero-Shot Learning (ZSL) aims to transfer classification capability from...

Yun Li, et al. ∙

research

∙ 12/21/2021

EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection

Recently, fusing the LiDAR point cloud and camera image to improve the p...

Zhe Liu, et al. ∙

research

∙ 12/09/2021

PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis

Learning intra-region contexts and inter-region relations are two effect...

Silin Cheng, et al. ∙

research

∙ 12/06/2021

3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video

Depth and ego-motion estimations are essential for the localization and ...

Guangming Wang, et al. ∙

research

∙ 12/01/2021

Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning

Current approaches to Zero-Shot Learning (ZSL) struggle to learn general...

Zhe Liu, et al. ∙

research

∙ 11/03/2021

An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning

Zero-Shot Learning (ZSL) aims to transfer learned knowledge from observe...

Yun Li, et al. ∙

research

∙ 11/03/2021

Efficient 3D Deep LiDAR Odometry

An efficient 3D point cloud learning architecture, named PWCLO-Net, for ...

Guangming Wang, et al. ∙

research

∙ 10/08/2021

Opportunities for Machine Learning to Accelerate Halide Perovskite Commercialization and Scale-Up

While halide perovskites attract significant academic attention, example...

Rishi E. Kumar, et al. ∙

research

∙ 10/01/2021

Machine Learning with Knowledge Constraints for Process Optimization of Open-Air Perovskite Solar Cell Manufacturing

Photovoltaics (PV) have achieved rapid development in the past decade in...

Zhe Liu, et al. ∙

research

∙ 09/28/2021

Private Language Model Adaptation for Speech Recognition

Speech model adaptation is crucial to handle the discrepancy between ser...

Zhe Liu, et al. ∙

research

∙ 09/19/2021

Model-Based Approach for Measuring the Fairness in ASR

The issue of fairness arises when the automatic speech recognition (ASR)...

Zhe Liu, et al. ∙

research

∙ 09/15/2021

Life-Long Multi-Task Learning of Adaptive Path Tracking Policy for Autonomous Vehicle

This paper proposes a life-long adaptive path tracking policy learning m...

Cheng Gong, et al. ∙

research

∙ 08/23/2021

Efficient Medical Image Segmentation Based on Knowledge Distillation

Recent advances have been made in applying convolutional neural networks...

Dian Qin, et al. ∙

research

∙ 08/15/2021

CONet: Channel Optimization for Convolutional Neural Networks

Neural Architecture Search (NAS) has shifted network design from using h...

Mahdi S. Hosseini, et al. ∙

research

∙ 07/26/2021

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...

Amanda Prorok, et al. ∙

research

∙ 07/06/2021

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

Graphical User Interface (GUI) provides visual bridges between software ...

Yuhui Su, et al. ∙

research

∙ 06/28/2021

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...

Guangming Wang, et al. ∙

research

∙ 06/02/2021

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...

Zhe Liu, et al. ∙

research

∙ 05/19/2021

CREAMS: Copyrighted Cloud Media Sharing

The advent of the big data era drives the media data owner to seek help ...

Yushu Zhang, et al. ∙

research

∙ 05/10/2021

Accountable Error Characterization

Customers of machine learning systems demand accountability from the com...

Amita Misra, et al. ∙

research

∙ 04/22/2021

Attribute-Modulated Generative Meta Learning for Zero-Shot Classification

Zero-shot learning (ZSL) aims to transfer knowledge from seen classes to...

Yun Li, et al. ∙

research

∙ 03/04/2021

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

The mobile communication system has transformed to be the fundamental in...

Jianjun Wu, et al. ∙

research

∙ 03/03/2021

Task Aligned Generative Meta-learning for Zero-shot Learning

Zero-shot learning (ZSL) refers to the problem of learning to classify i...

Zhe Liu, et al. ∙

research

∙ 12/28/2020

GAKP: GRU Association and Kalman Prediction for Multiple Object Tracking

Multiple Object Tracking (MOT) has been a useful yet challenging task in...

Zhen Li, et al. ∙

research

∙ 12/20/2020

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

Recently, learning based methods for the robot perception from the image...

Guangming Wang, et al. ∙

research

∙ 12/09/2020

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...

Zhijian Qiao, et al. ∙

research

∙ 12/05/2020

ProMask: Probability Mask for Skeleton Detection

Detecting object skeletons in natural images presents challenging, due t...

Xiuxiu Bai, et al. ∙

research

∙ 12/02/2020

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...

Guangming Wang, et al. ∙

research

∙ 12/01/2020

Federated Marginal Personalization for ASR Rescoring

We introduce federated marginal personalization (FMP), a novel method fo...

Zhe Liu, et al. ∙

research

∙ 11/30/2020

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...

Zhijian Qiao, et al. ∙

research

∙ 11/27/2020

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...

Guangming Wang, et al. ∙

research

∙ 11/27/2020

3D Invisible Cloak

In this paper, we propose a novel physical stealth attack against the pe...

Mingfu Xue, et al. ∙

research

∙ 11/27/2020

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 ...

Mingfu Xue, et al. ∙

research

∙ 11/26/2020

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

The domains of transport and logistics are increasingly relying on auton...

Qingbiao Li, et al. ∙

research

∙ 11/24/2020

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

Application of Deep Reinforcement Learning (DRL) algorithms in real-worl...

Minjian Xin, et al. ∙

research

∙ 10/12/2020

Hierarchical Attention Learning of Scene Flow in 3D Point Clouds

Scene flow represents the 3D motion of every point in the dynamic enviro...

Guangming Wang, et al. ∙

research

∙ 10/01/2020

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

Long-Term visual localization under changing environments is a challengi...

Hanjiang Hu, et al. ∙

research

∙ 09/16/2020

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 ...

Hanjiang Hu, et al. ∙

Zhe Liu

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