4 papers
Robust and Efficient Noisy-Label Time-Series Classification via Dynamic Time Warping Based Granular Ball Computing
Ziqiang Li, Yun Liu, Gouhei Tanaka
Dynamic Time Warping (DTW)-based Nearest-Neighbor (NN) classifiers are effective for time-series classification but are vulnerable to mislabeled training samples and require numero…
Structuring Multiple Simple Cycle Reservoirs with Particle Swarm Optimization
Ziqiang Li, Robert Simon Fong, Kantaro Fujiwara +2
Reservoir Computing (RC) is a time-efficient computational paradigm derived from Recurrent Neural Networks (RNNs). The Simple Cycle Reservoir (SCR) is an RC model that stands out f…
Diffusion model for relational inference
Shuhan Zheng, Ziqiang Li, Kantaro Fujiwara +1
Dynamical behaviors of complex interacting systems, including brain activities, financial price movements, and physical collective phenomena, are associated with underlying interac…
Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification
Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka
The Dissemination Process Classification (DPC) is a popular application of temporal graph classification. The aim of DPC is to classify different spreading patterns of information…