11 citations · 31 across the 21 of their papers we have counts for
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cs.LG2026
Subspace Kernel Learning on Tensor Sequences
Lei Wang, Xi Ding, Yongsheng Gao +1
Learning from structured multi-way data, represented as higher-order tensors, requires capturing complex interactions across tensor modes while remaining computationally efficient.…
cs.LG2025
Graph Your Own Prompt
Xi Ding, Lei Wang, Piotr Koniusz +1
We propose Graph Consistency Regularization (GCR), a novel framework that injects relational graph structures, derived from model predictions, into the learning process to promote…
cs.LG2019★ 11 cited
Fisher-Bures Adversary Graph Convolutional Networks
Ke Sun, Piotr Koniusz, Zhen Wang
In a graph convolutional network, we assume that the graph is generated wrt some observation noise. During learning, we make small random perturbations of the graph and tr…