4 citations · 10 across the 10 of their papers we have counts for
10 papers
Simple Cycle Reservoirs are Universal
Boyu Li, Robert Simon Fong, Peter Tiňo
Reservoir computation models form a subclass of recurrent neural networks with fixed non-trainable input and dynamic coupling weights. Only the static readout from the state space…
Neighborhood Convolutional Network: A New Paradigm of Graph Neural Networks for Node Classification
Jinsong Chen, Boyu Li, Kun He
The decoupled Graph Convolutional Network (GCN), a recent development of GCN that decouples the neighborhood aggregation and feature transformation in each convolutional layer, has…
Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation
Zhongwei Wan, Xin Liu, Benyou Wang +5
Session-based recommendation (SBR) systems aim to utilize the user's short-term behavior sequence to predict the next item without the detailed user profile. Most recent works try…
Propagation with Adaptive Mask then Training for Node Classification on Attributed Networks
Jinsong Chen, Boyu Li, Qiuting He +1
Node classification on attributed networks is a semi-supervised task that is crucial for network analysis. By decoupling two critical operations in Graph Convolutional Networks (GC…
HoSIM: Higher-order Structural Importance based Method for Multiple Local Community Detection
Boyu Li, Meng Wang, John E. Hopcroft +1
Local community detection has attracted much research attention recently, and many methods have been proposed for the single local community detection that finds a community contai…
Center-of-Mass-based Robust Grasp Pose Adaptation Using RGBD Camera and Force/Torque Sensing
Shang Liu, Xiaobao Wei, Lulu Wang +3
Object dropping may occur when the robotic arm grasps objects with uneven mass distribution due to additional moments generated by objects' gravity. To solve this problem, we prese…
Uncovering the Local Hidden Community Structure in Social Networks
Meng Wang, Boyu Li, Kun He +1
Hidden community is a useful concept proposed recently for social network analysis. To handle the rapid growth of network scale, in this work, we explore the detection of hidden co…
Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action Recognition
Sofia Broomé, Ernest Pokropek, Boyu Li +1
Most action recognition models today are highly parameterized, and evaluated on datasets with appearance-wise distinct classes. It has also been shown that 2D Convolutional Neural…
Link Prediction and Unlink Prediction on Dynamic Networks
Christina Muro, Boyu Li, Kun He
Link prediction on dynamic networks has been extensively studied and widely applied in various applications. However, temporal unlink prediction, which also plays an important role…
MuCo: Publishing Microdata with Privacy Preservation through Mutual Cover
Boyu Li, Jianfeng Ma, Junhua Xi +3
We study the anonymization technique of k-anonymity family for preserving privacy in the publication of microdata. Although existing approaches based on generalization can provide…