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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...
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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...
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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...
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01/01/2023
Inflected Forms Are Redundant in Question Generation Models
Neural models with an encoder-decoder framework provide a feasible solut...
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12/26/2022
Toward Efficient Automated Feature Engineering
Automated Feature Engineering (AFE) refers to automatically generate and...
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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...
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06/24/2022
MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation
Range-view based LiDAR segmentation methods are attractive for practical...
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06/03/2022
Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification
Realizing human-like perception is a challenge in open driving scenarios...
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05/26/2022
Deep Active Learning with Noise Stability
Uncertainty estimation for unlabeled data is crucial to active learning....
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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...
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04/13/2022
Ada-Detector: Adaptive Frontier Detector for Rapid Exploration
In this paper, we propose an efficient frontier detector method based on...
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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...
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04/12/2022
HiTPR: Hierarchical Transformer for Place Recognition in Point Cloud
Place recognition or loop closure detection is one of the core component...
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03/24/2022
Learning Disentangled Representation for One-shot Progressive Face Swapping
Although face swapping has attracted much attention in recent years, it ...
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03/09/2022
Inadequately Pre-trained Models are Better Feature Extractors
Pre-training has been a popular learning paradigm in deep learning era, ...
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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...
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03/02/2022
Learning Moving-Object Tracking with FMCW LiDAR
In this paper, we propose a learning-based moving-object tracking method...
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11/11/2021
Yaw-Guided Imitation Learning for Autonomous Driving in Urban Environments
Existing imitation learning methods suffer from low efficiency and gener...
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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...
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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...
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07/13/2021
A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization
Inefficient traffic signal control methods may cause numerous problems, ...
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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...
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06/24/2021
Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions
Containerization is a lightweight application virtualization technology,...
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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...
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05/11/2021
One Shot Face Swapping on Megapixels
Face swapping has both positive applications such as entertainment, huma...
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03/25/2021
SMILE: Self-Distilled MIxup for Efficient Transfer LEarning
To improve the performance of deep learning, mixup has been proposed to ...
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02/05/2021
DEAL: Decremental Energy-Aware Learning in a Federated System
Federated learning struggles with their heavy energy footprint on batter...
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10/16/2020
Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement
Fine-tuning deep neural networks pre-trained on large scale datasets is ...
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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...
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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...
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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...
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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...
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05/11/2020
Multi-View Graph Convolutional Networks for Relationship-Driven Stock Prediction
Stock price movement prediction is commonly accepted as a very challengi...
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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...
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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...
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01/19/2019