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08/17/2023
Partial Homoscedasticity in Causal Discovery with Linear Models
Recursive linear structural equation models and the associated directed ...
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08/16/2023
Exploiting Point-Wise Attention in 6D Object Pose Estimation Based on Bidirectional Prediction
Traditional geometric registration based estimation methods only exploit...
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08/14/2023
Physics-Informed Deep Learning to Reduce the Bias in Joint Prediction of Nitrogen Oxides
Atmospheric nitrogen oxides (NOx) primarily from fuel combustion have re...
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08/09/2023
Differentially Private Graph Neural Network with Importance-Grained Noise Adaption
Graph Neural Networks (GNNs) with differential privacy have been propose...
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08/03/2023
Identifiability of Homoscedastic Linear Structural Equation Models using Algebraic Matroids
We consider structural equation models (SEMs), in which every variable i...
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06/13/2023
Privacy Inference-Empowered Stealthy Backdoor Attack on Federated Learning under Non-IID Scenarios
Federated learning (FL) naturally faces the problem of data heterogeneit...
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06/10/2023
Optimizing the Collaboration Structure in Cross-Silo Federated Learning
In federated learning (FL), multiple clients collaborate to train machin...
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05/30/2023
FakeSwarm: Improving Fake News Detection with Swarming Characteristics
The proliferation of fake news poses a serious threat to society, as it ...
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05/19/2023
MedLens: Improve mortality prediction via medical signs selecting and regression interpolation
Monitoring the health status of patients and predicting mortality in adv...
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04/24/2023
FineEHR: Refine Clinical Note Representations to Improve Mortality Prediction
Monitoring the health status of patients in the ICU is crucial for provi...
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04/06/2023
BotTriNet: A Unified and Efficient Embedding for Social Bots Detection via Metric Learning
A persistently popular topic in online social networks is the rapid and ...
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03/17/2023
BotShape: A Novel Social Bots Detection Approach via Behavioral Patterns
An essential topic in online social network security is how to accuratel...
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12/26/2022
Fabrication Sequence Optimization for Minimizing Distortion in Multi-Axis Additive Manufacturing
Additive manufacturing of metal parts involves phase transformations and...
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12/21/2022
Device-Bind Key-Storageless Hardware AI Model IP Protection: A PUF and Permute-Diffusion Encryption-Enabled Approach
Machine learning as a service (MLaaS) framework provides intelligent ser...
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12/15/2022
Non-IID Transfer Learning on Graphs
Transfer learning refers to the transfer of knowledge or information fro...
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10/12/2022
RING++: Roto-translation Invariant Gram for Global Localization on a Sparse Scan Map
Global localization plays a critical role in many robot applications. Li...
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07/19/2022
A Streamline-guided De-Homogenization Approach for Structural Design
We present a novel de-homogenization approach for efficient design of hi...
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07/05/2022
A Unified Meta-Learning Framework for Dynamic Transfer Learning
Transfer learning refers to the transfer of knowledge or information fro...
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07/01/2022
Towards Two-view 6D Object Pose Estimation: A Comparative Study on Fusion Strategy
Current RGB-based 6D object pose estimation methods have achieved notice...
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06/23/2022
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization
Federated recommender system (FRS), which enables many local devices to ...
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02/17/2022
LiDAR-Inertial 3D SLAM with Plane Constraint for Multi-story Building
The ubiquitous planes and structural consistency are the most apparent f...
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01/14/2022
Adaptive Transfer Learning for Plant Phenotyping
Plant phenotyping (Guo et al. 2021; Pieruschka et al. 2019) focuses on s...
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12/16/2021
3D-TSV: The 3D Trajectory-based Stress Visualizer
We present the 3D Trajectory-based Stress Visualizer (3D-TSV), a visual ...
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09/25/2021
Learning Stereopsis from Geometric Synthesis for 6D Object Pose Estimation
Current monocular-based 6D object pose estimation methods generally achi...
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09/02/2021
RF-LighGBM: A probabilistic ensemble way to predict customer repurchase behaviour in community e-commerce
It is reported that the number of online payment users in China has reac...
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08/22/2021
Stress Topology Analysis for Porous Infill Optimization
The optimization of porous infill structures via local volume constraint...
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07/27/2021
QoS-aware User Grouping Strategy for Downlink Multi-Cell NOMA Systems
In multi-cell non-orthogonal multiple access (NOMA) systems, designing a...
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03/15/2021
Automatically Lock Your Neural Networks When You're Away
The smartphone and laptop can be unlocked by face or fingerprint recogni...
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03/03/2021
Dynamic Offloading Design in Time-Varying Mobile Edge Networks with Deep Reinforcement Learning Approach
Mobile edge computing (MEC) is regarded as a promising wireless access a...
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03/03/2021
QoS-Driven Resource Optimization for Intelligent Fog Radio Access Network: A Dynamic Power Allocation Perspective
The fog radio access network (Fog-RAN) has been considered a promising w...
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02/28/2021
Cache Placement Optimization in Mobile Edge Computing Networks with Unaware Environment – An Extended Multi-armed Bandit Approach
Caching high-frequency reuse contents at the edge servers in the mobile ...
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02/26/2021
A Universal Model for Cross Modality Mapping by Relational Reasoning
With the aim of matching a pair of instances from two different modaliti...
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12/29/2020
Leveraging AI and Intelligent Reflecting Surface for Energy-Efficient Communication in 6G IoT
The ever-increasing data traffic, various delay-sensitive services, and ...
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12/22/2020
Sensing and Reconstruction of 3D Deformation on Pneumatic Soft Robots
Real-time proprioception is a challenging problem for soft robots, which...
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12/12/2020
GAN-based Recommendation with Positive-Unlabeled Sampling
Recommender systems are popular tools for information retrieval tasks on...
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11/02/2020
Search-based Kinodynamic Motion Planning for Omnidirectional Quadruped Robots
Autonomous navigation has played an increasingly significant role in qua...
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11/01/2020
Bound Controller for a Quadruped Robot using Pre-Fitting Deep Reinforcement Learning
The bound gait is an important gait in quadruped robot locomotion. It ca...
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10/24/2020
REDE: End-to-end Object 6D Pose Robust Estimation Using Differentiable Outliers Elimination
Object 6D pose estimation is a fundamental task in many applications. Co...
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09/18/2020
Robust Decentralized Learning for Neural Networks
In decentralized learning, data is distributed among local clients which...
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06/10/2020
Structure Learning for Cyclic Linear Causal Models
We consider the problem of structure learning for linear causal models b...
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06/05/2020
Continuous Transfer Learning with Label-informed Distribution Alignment
Transfer learning has been successfully applied across many high-impact ...
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04/28/2020
A framework for adaptive width control of dense contour-parallel toolpaths in fused deposition modeling
3D printing techniques such as Fused Deposition Modeling (FDM) have enab...
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04/17/2020
Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks
Neural architecture search has attracted wide attentions in both academi...
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12/23/2019
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
With the rapid development of neural architecture search (NAS), research...
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12/20/2019
Robust Data Preprocessing for Machine-Learning-Based Disk Failure Prediction in Cloud Production Environments
To provide proactive fault tolerance for modern cloud data centers, exte...
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11/20/2019
Hierarchical Attention Networks for Medical Image Segmentation
The medical image is characterized by the inter-class indistinction, hig...
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06/07/2019
CrossFill: Foam Structures with Graded Density for Continuous Material Extrusion
The fabrication flexibility of 3D printing has sparked a lot of interest...
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06/05/2019
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
Graph data widely exist in many high-impact applications. Inspired by th...
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05/08/2019
Design and Optimization of Conforming Lattice Structures
Inspired by natural cellular materials such as trabecular bone, lattice ...
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04/29/2019