77 citations · 93 across the 13 of their papers we have counts for
5 papers · 1 filter
Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings
Zhanhong Jiang, Young M. Lee
Thermal dynamics modeling has been a critical issue in building heating, ventilation, and air-conditioning (HVAC) systems, which can significantly affect the control and maintenanc…
Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems
Chao Liu, Kin Gwn Lore, Zhanhong Jiang +1
Performance monitoring, anomaly detection, and root-cause analysis in complex cyber-physical systems (CPSs) are often highly intractable due to widely diverse operational modes, di…
On Consensus-Optimality Trade-offs in Collaborative Deep Learning
Zhanhong Jiang, Aditya Balu, Chinmay Hegde +1
In distributed machine learning, where agents collaboratively learn from diverse private data sets, there is a fundamental tension between consensus and optimality. In this paper,…
Collaborative Deep Learning in Fixed Topology Networks
Zhanhong Jiang, Aditya Balu, Chinmay Hegde +1
There is significant recent interest to parallelize deep learning algorithms in order to handle the enormous growth in data and model sizes. While most advances focus on model para…
Energy Prediction using Spatiotemporal Pattern Networks
Zhanhong Jiang, Chao Liu, Adedotun Akintayo +2
This paper presents a novel data-driven technique based on the spatiotemporal pattern network (STPN) for energy/power prediction for complex dynamical systems. Built on symbolic dy…