Liang Zhao

Bridging the gap between spatial and spectral domains: A unified framework for graph neural networks
Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation
Infinitely Deep Graph Transformation Networks
From “Dynamics on Graphs” to “Dynamics of Graphs”: An Adaptive Echo-State Network Solution (Student Abstract)
Deep graph learning for circuit deobfuscation
Estimating the circuit de-obfuscation runtime based on graph deep learning
Distributed self-paced learning in alternating direction method of multipliers
Traces: Generating twitter stories via shared subspace and temporal smoothness
Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics

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