b'Chengzhong Xu'

research

∙ 08/29/2023

Practice of Alibaba Cloud on Elastic Resource Provisioning for Large-scale Microservices Cluster

Cloud-native architecture is becoming increasingly crucial for today's c...

0 Minxian Xu, et al. ∙

research

∙ 05/23/2023

Why semantics matters: A deep study on semantic particle-filtering localization in a LiDAR semantic pole-map

In most urban and suburban areas, pole-like structures such as tree trun...

0 Yuming Huang, et al. ∙

research

∙ 05/23/2023

iCOIL: Scenario Aware Autonomous Parking Via Integrated Constrained Optimization and Imitation Learning

Autonomous parking (AP) is an emering technique to navigate an intellige...

0 Lexiong Huang, et al. ∙

research

∙ 01/01/2023

Inflected Forms Are Redundant in Question Generation Models

Neural models with an encoder-decoder framework provide a feasible solut...

0 Xingwu Sun, et al. ∙

research

∙ 12/26/2022

Toward Efficient Automated Feature Engineering

Automated Feature Engineering (AFE) refers to automatically generate and...

0 Kafeng Wang, et al. ∙

research

∙ 08/05/2022

Towards Fast Theta-join: A Prefiltering and Amalgamated Partitioning Approach

As one of the most useful online processing techniques, the theta-join o...

0 Jiashu Wu, et al. ∙

research

∙ 06/24/2022

MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation

Range-view based LiDAR segmentation methods are attractive for practical...

0 Yi Gu, et al. ∙

research

∙ 06/03/2022

Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification

Realizing human-like perception is a challenge in open driving scenarios...

0 Shuai Wang, et al. ∙

research

∙ 05/26/2022

Deep Active Learning with Noise Stability

Uncertainty estimation for unlabeled data is crucial to active learning....

0 Xingjian Li, et al. ∙

research

∙ 04/22/2022

Graph Gain: A Concave-Hull Based Volumetric Gain for Robotic Exploration

The existing volumetric gain for robotic exploration is calculated in th...

0 Zezhou Sun, et al. ∙

research

∙ 04/13/2022

Ada-Detector: Adaptive Frontier Detector for Rapid Exploration

In this paper, we propose an efficient frontier detector method based on...

0 Zezhou Sun, et al. ∙

research

∙ 04/12/2022

LiDAR Road-Atlas: An Efficient Map Representation for General 3D Urban Environment

In this work, we propose the LiDAR Road-Atlas, a compactable and efficie...

0 Banghe Wu, et al. ∙

research

∙ 04/12/2022

HiTPR: Hierarchical Transformer for Place Recognition in Point Cloud

Place recognition or loop closure detection is one of the core component...

4 Zhixing Hou, et al. ∙

research

∙ 03/24/2022

Learning Disentangled Representation for One-shot Progressive Face Swapping

Although face swapping has attracted much attention in recent years, it ...

5 Qi Li, et al. ∙

research

∙ 03/09/2022

Inadequately Pre-trained Models are Better Feature Extractors

Pre-training has been a popular learning paradigm in deep learning era, ...

0 Andong Deng, et al. ∙

research

∙ 03/05/2022

EsDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Environment

Cloud computing has been regarded as a successful paradigm for IT indust...

0 Minxian Xu, et al. ∙

research

∙ 03/02/2022

Learning Moving-Object Tracking with FMCW LiDAR

In this paper, we propose a learning-based moving-object tracking method...

0 Yi Gu, et al. ∙

research

∙ 11/11/2021

Yaw-Guided Imitation Learning for Autonomous Driving in Urban Environments

Existing imitation learning methods suffer from low efficiency and gener...

0 Yandong Liu, et al. ∙

research

∙ 10/19/2021

Prepartition: Load Balancing Approach for Virtual Machine Reservations in a Cloud Data Center

Load balancing is vital for the efficient and long-term operation of clo...

0 Wenhong Tian, et al. ∙

research

∙ 08/09/2021

Multi-View TRGRU: Transformer based Spatiotemporal Model for Short-Term Metro Origin-Destination Matrix Prediction

Accurate prediction of short-term OD Matrix (i.e. the distribution of pa...

0 Jiexia Ye, et al. ∙

research

∙ 07/13/2021

A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization

Inefficient traffic signal control methods may cause numerous problems, ...

0 Zhenning Li, et al. ∙

research

∙ 07/04/2021

Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting

Accurate traffic state prediction is the foundation of transportation co...

0 Jiexia Ye, et al. ∙

research

∙ 06/24/2021

Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions

Containerization is a lightweight application virtualization technology,...

0 Zhiheng Zhong, et al. ∙

research

∙ 06/10/2021

PDMA: Probabilistic Service Migration Approach for Delay-aware and Mobility-aware Mobile Edge Computing

As a key technology in the 5G era, Mobile Edge Computing (MEC) has devel...

0 Minxian Xu, et al. ∙

research

∙ 05/11/2021

One Shot Face Swapping on Megapixels

Face swapping has both positive applications such as entertainment, huma...

10 Yuhao Zhu, et al. ∙

research

∙ 03/25/2021

SMILE: Self-Distilled MIxup for Efficient Transfer LEarning

To improve the performance of deep learning, mixup has been proposed to ...

0 Xingjian Li, et al. ∙

research

∙ 02/05/2021

DEAL: Decremental Energy-Aware Learning in a Federated System

Federated learning struggles with their heavy energy footprint on batter...

0 Wenting Zou, et al. ∙

research

∙ 10/16/2020

Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement

Fine-tuning deep neural networks pre-trained on large scale datasets is ...

11 Xingjian Li, et al. ∙

research

∙ 09/08/2020

Green-aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions

The development of Internet of Things (IoT) technology enables the rapid...

0 Minxian Xu, et al. ∙

research

∙ 07/20/2020

XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup

Transferring knowledge from large source datasets is an effective way to...

0 Xingjian Li, et al. ∙

research

∙ 07/07/2020

RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr

Fine-tuning the deep convolution neural network(CNN) using a pre-trained...

0 Xingjian Li, et al. ∙

research

∙ 05/24/2020

How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey

The huge success of deep learning in computer vision and natural languag...

0 Jiexia Ye, et al. ∙

research

∙ 05/11/2020

Multi-View Graph Convolutional Networks for Relationship-Driven Stock Prediction

Stock price movement prediction is commonly accepted as a very challengi...

0 Jiexia Ye, et al. ∙

research

∙ 04/26/2020

COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization

Softening labels of training datasets with respect to data representatio...

0 Xingjian Li, et al. ∙

research

∙ 02/12/2020

Energy Efficient Algorithms based on VM Consolidation for Cloud Computing: Comparisons and Evaluations

Cloud Computing paradigm has revolutionized IT industry and be able to o...

0 Qiheng Zhou, et al. ∙

research

∙ 01/19/2019

Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems

This paper was motivated by the problem of how to make robots fuse and t...

0 Boyi Liu, et al. ∙

Chengzhong Xu

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