4 citations · 4 across the 6 of their papers we have counts for
6 papers
Real-time Contact State Estimation in Shape Control of Deformable Linear Objects under Small Environmental Constraints
Kejia Chen, Zhenshan Bing, Yansong Wu +4
Controlling the shape of deformable linear objects using robots and constraints provided by environmental fixtures has diverse industrial applications. In order to establish robust…
Balancing Augmentation with Edge-Utility Filter for Signed GNNs
Ke-Jia Chen, Yaming Ji, Youran Qu +1
Signed graph neural networks (SGNNs) has recently drawn more attention as many real-world networks are signed networks containing two types of edges: positive and negative. The exi…
Contact-aware Shaping and Maintenance of Deformable Linear Objects With Fixtures
Kejia Chen, Zhenshan Bing, Fan Wu +4
Studying the manipulation of deformable linear objects has significant practical applications in industry, including car manufacturing, textile production, and electronics automati…
Safety Guaranteed Manipulation Based on Reinforcement Learning Planner and Model Predictive Control Actor
Zhenshan Bing, Aleksandr Mavrichev, Sicong Shen +4
Deep reinforcement learning (RL) has been endowed with high expectations in tackling challenging manipulation tasks in an autonomous and self-directed fashion. Despite the signific…
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast
Linpu Jiang, Ke-Jia Chen, Jingqiang Chen
Self-supervised learning on graphs has recently drawn a lot of attention due to its independence from labels and its robustness in representation. Current studies on this topic mai…
GIMIRec: Global Interaction Information Aware Multi-Interest Framework for Sequential Recommendation
Jie Zhang, Ke-Jia Chen, Jingqiang Chen
Sequential recommendation based on multi-interest framework models the user's recent interaction sequence into multiple different interest vectors, since a single low-dimensional v…