21 citations · 29 across the 7 of their papers we have counts for
10 papers
TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series
Yang Jiao, Kai Yang, Shaoyu Dou +3
Multivariate time series (MTS) data are becoming increasingly ubiquitous in diverse domains, e.g., IoT systems, health informatics, and 5G networks. To obtain an effective represen…
Optimal Sensor Collaboration for Parameter Tracking Using Energy Harvesting Sensors
Shan Zhang, Sijia Liu, Vinod Sharma +1
In this paper, we design an optimal sensor collaboration strategy among neighboring nodes while tracking a time-varying parameter using wireless sensor networks in the presence of…
First-order bifurcation detection for dynamic complex networks
Sijia Liu, Pin-Yu Chen, Indika Rajapakse +1
In this paper, we explore how network centrality and network entropy can be used to identify a bifurcation network event. A bifurcation often occurs when a network undergoes a qual…
Algorithm-Hardware Co-Optimization of the Memristor-Based Framework for Solving SOCP and Homogeneous QCQP Problems
Ao Ren, Sijia Liu, Ruizhe Cai +3
A memristor crossbar, which is constructed with memristor devices, has the unique ability to change and memorize the state of each of its memristor elements. It also has other high…
A Data-Driven Sparse-Learning Approach to Model Reduction in Chemical Reaction Networks
Farshad Harirchi, Omar A. Khalil, Sijia Liu +3
In this paper, we propose an optimization-based sparse learning approach to identify the set of most influential reactions in a chemical reaction network. This reduced set of react…
Semiblind subgraph reconstruction in Gaussian graphical models
Tianpei Xie, Sijia Liu, Alfred O. Hero
Consider a social network where only a few nodes (agents) have meaningful interactions in the sense that the conditional dependency graph over node attribute variables (behaviors)…