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07/19/2023
Backdoor Attack against Object Detection with Clean Annotation
Deep neural networks (DNNs) have shown unprecedented success in object d...
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06/22/2023
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling
A pooling operation is essential for effective graph-level representatio...
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04/20/2023
Prompt-Learning for Cross-Lingual Relation Extraction
Relation Extraction (RE) is a crucial task in Information Extraction, wh...
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04/11/2023
Dexterous In-Hand Manipulation of Slender Cylindrical Objects through Deep Reinforcement Learning with Tactile Sensing
Continuous in-hand manipulation is an important physical interaction ski...
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01/14/2023
A Comprehensive Survey of Graph-level Learning
Graphs have a superior ability to represent relational data, like chemic...
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07/18/2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks
Graph Neural Networks (GNNs) tend to suffer from high computation costs ...
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06/15/2022
CLNode: Curriculum Learning for Node Classification
Node classification is a fundamental graph-based task that aims to predi...
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05/31/2022
Graph-level Neural Networks: Current Progress and Future Directions
Graph-structured data consisting of objects (i.e., nodes) and relationsh...
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04/15/2022
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Graph neural networks have emerged as a leading architecture for many gr...
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03/01/2022
EPPAC: Entity Pre-typing Relation Classification with Prompt AnswerCentralizing
Relation classification (RC) aims to predict the relationship between a ...
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06/12/2021
Metrics for 3D Object Pointing and Manipulation in Virtual Reality
Assessing the performance of human movements during teleoperation and vi...
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06/19/2020
Opinion Maximization in Social Trust Networks
Social media sites are now becoming very important platforms for product...
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05/17/2020
Deep Learning for Community Detection: Progress, Challenges and Opportunities
As communities represent similar opinions, similar functions, similar pu...
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02/15/2020
Learning Pregrasp Manipulation of Objects from Ungraspable Poses
In robotic grasping, objects are often occluded in ungraspable configura...
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02/11/2020
Reaching, Grasping and Re-grasping: Learning Multimode Grasping Skills
The ability to adapt to uncertainties, recover from failures, and coordi...
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02/11/2020
Reaching, Grasping and Re-grasping: Learning Fine Coordinated Motor Skills
The ability to adapt to uncertainties, recover from failures, and sensor...
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05/06/2018