30 citations · 33 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 3 cited
Learning to Evolve on Dynamic Graphs
Xintao Xiang, Tiancheng Huang, Donglin Wang
Representation learning in dynamic graphs is a challenging problem because the topology of graph and node features vary at different time. This requires the model to be able to eff…
physics.optics2021★ 30 cited
Ultracompact energy transfer in anapole-based metachains
T. C. Huang, B. X. Wang, W. B. Zhang +1
Realization of electromagnetic energy confinement beyond the diffraction limit is of paramount importance for novel applications like nano-imaging, information processing, and ener…
cs.LG2020
GDA-HIN: A Generalized Domain Adaptive Model across Heterogeneous Information Networks
Tiancheng Huang, Ke Xu, Donglin Wang
Domain adaptation using graph-structured networks learns label-discriminative and network-invariant node embeddings by sharing graph parameters. Most existing works focus on domain…