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07/08/2023
Ground-Challenge: A Multi-sensor SLAM Dataset Focusing on Corner Cases for Ground Robots
High-quality datasets can speed up breakthroughs and reveal potential de...
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04/08/2023
Sky-GVINS: a Sky-segmentation Aided GNSS-Visual-Inertial System for Robust Navigation in Urban Canyons
Integrating Global Navigation Satellite Systems (GNSS) in Simultaneous L...
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09/05/2022
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment
Entity alignment aims to discover unique equivalent entity pairs with th...
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09/02/2022
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion
Knowledge graphs (KGs) are known for their large scale and knowledge inf...
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06/08/2022
Latent Boundary-guided Adversarial Training
Deep Neural Networks (DNNs) have recently achieved great success in many...
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01/25/2022
Link Prediction with Contextualized Self-Supervision
Link prediction aims to infer the existence of a link between two nodes ...
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01/20/2022
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels
Graph Neural Networks (GNNs) have achieved state-of-the-art results for ...
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12/19/2021
M2DGR: A Multi-sensor and Multi-scenario SLAM Dataset for Ground Robots
We introduce M2DGR: a novel large-scale dataset collected by a ground ro...
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09/24/2021
Edge but not Least: Cross-View Graph Pooling
Graph neural networks have emerged as a powerful model for graph represe...
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09/09/2021
EvilModel 2.0: Hiding Malware Inside of Neural Network Models
While artificial intelligence (AI) is widely applied in various areas, i...
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03/05/2021
Unified Robust Training for Graph NeuralNetworks against Label Noise
Graph neural networks (GNNs) have achieved state-of-the-art performance ...
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03/03/2021
Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss
Graph convolutional networks (GCNs) and their variants have achieved gre...
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09/16/2020
AI-powered Covert Botnet Command and Control on OSNs
Botnet is one of the major threats to computer security. In previous bot...
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08/22/2019
Semi-supervised Adversarial Active Learning on Attributed Graphs
Active learning (AL) on attributed graphs has received increasing attent...
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07/16/2019
Latent Adversarial Defence with Boundary-guided Generation
Deep Neural Networks (DNNs) have recently achieved great success in many...
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01/14/2019
Search Efficient Binary Network Embedding
Traditional network embedding primarily focuses on learning a dense vect...
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01/14/2019
Attributed Network Embedding via Subspace Discovery
Network embedding aims to learn a latent, low-dimensional vector represe...
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03/23/2018
Design of Multifunctional Soft Doming Actuator for Soft Machines
Bilayer bending based soft actuators are widely utilized in soft robotic...
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03/23/2018
Switchable Adhesion Actuator for Amphibious Climbing Soft Robot
Climbing soft robots are of tremendous interest in both science and engi...
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09/12/2017
Interpreting Shared Deep Learning Models via Explicable Boundary Trees
Despite outperforming the human in many tasks, deep neural network model...
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10/03/2012
