Collaborative deep learning in fixed topology networks Z Jiang, A Balu, C Hegde, S Sarkar Advances in Neural Information Processing Systems 30, 2017 | 209 | 2017 |
Building HVAC control with reinforcement learning for reduction of energy cost and demand charge Z Jiang, MJ Risbeck, V Ramamurti, S Murugesan, J Amores, C Zhang, ... Energy and Buildings 239, 110833, 2021 | 100 | 2021 |
Multivariate exploration of non-intrusive load monitoring via spatiotemporal pattern network C Liu, A Akintayo, Z Jiang, GP Henze, S Sarkar Applied Energy 211, 1106-1122, 2018 | 75 | 2018 |
An unsupervised spatiotemporal graphical modeling approach to anomaly detection in distributed cps C Liu, S Ghosal, Z Jiang, S Sarkar 2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS …, 2016 | 68 | 2016 |
Spatiotemporal attention for multivariate time series prediction and interpretation T Gangopadhyay, SY Tan, Z Jiang, R Meng, S Sarkar ICASSP 2021-2021 IEEE international conference on acoustics, speech and …, 2021 | 62 | 2021 |
Cross-gradient aggregation for decentralized learning from non-iid data Y Esfandiari, SY Tan, Z Jiang, A Balu, E Herron, C Hegde, S Sarkar International conference on machine learning, 3036-3046, 2021 | 52 | 2021 |
Online robust policy learning in the presence of unknown adversaries A Havens, Z Jiang, S Sarkar Advances in neural information processing systems 31, 2018 | 51 | 2018 |
Collaborative deep learning framework for fault diagnosis in distributed complex systems H Wang, C Liu, D Jiang, Z Jiang Mechanical Systems and Signal Processing 156, 107650, 2021 | 43 | 2021 |
An unsupervised anomaly detection approach using energy-based spatiotemporal graphical modeling C Liu, S Ghosal, Z Jiang, S Sarkar Cyber-physical systems 3 (1-4), 66-102, 2017 | 41 | 2017 |
Modeling and multiobjective optimization of indoor airborne disease transmission risk and associated energy consumption for building HVAC systems MJ Risbeck, MZ Bazant, Z Jiang, YM Lee, KH Drees, JD Douglas Energy and Buildings 253, 111497, 2021 | 40 | 2021 |
Decentralized deep learning using momentum-accelerated consensus A Balu, Z Jiang, SY Tan, C Hedge, YM Lee, S Sarkar ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 27 | 2021 |
Deep transfer learning for thermal dynamics modeling in smart buildings Z Jiang, YM Lee 2019 IEEE international conference on big data (Big data), 2033-2037, 2019 | 26 | 2019 |
Energy prediction using spatiotemporal pattern networks Z Jiang, C Liu, A Akintayo, GP Henze, S Sarkar Applied Energy 206, 1022-1039, 2017 | 26 | 2017 |
Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems C Liu, KG Lore, Z Jiang, S Sarkar Knowledge-Based Systems 211, 106527, 2021 | 23 | 2021 |
Quantifying the tradeoff between energy consumption and the risk of airborne disease transmission for building HVAC systems MJ Risbeck, MZ Bazant, Z Jiang, YM Lee, KH Drees, JD Douglas Science and Technology for the Built Environment 28 (2), 240-254, 2022 | 22 | 2022 |
On distributed optimization using generalized gossip Z Jiang, S Sarkar, K Mukherjee 2015 54th IEEE Conference on Decision and Control (CDC), 2667-2672, 2015 | 16 | 2015 |
A volttron based implementation of supervisory control using generalized gossip for building energy systems V Chinde, A Kohl, Z Jiang, A Kelkar, S Sarkar | 13 | 2016 |
Understanding wind turbine interactions using spatiotemporal pattern network Z Jiang, S Sarkar Dynamic Systems and Control Conference 57243, V001T05A001, 2015 | 13 | 2015 |
Comparative evaluation of control-oriented zone temperature prediction modeling strategies in buildings V Chinde, JC Heylmun, A Kohl, Z Jiang, S Sarkar, A Kelkar Dynamic Systems and Control Conference 57250, V002T34A009, 2015 | 11 | 2015 |
Data-driven thermal model inference with armax, in smart environments, based on normalized mutual information Z Jiang, J Francis, AK Sahu, S Munir, C Shelton, A Rowe, M Bergés 2018 Annual American Control Conference (ACC), 4634-4639, 2018 | 10 | 2018 |