Zhanhong Jiang

发表

Data-driven Thermal Model Inference with ARMAX, in Smart Environments, based on Normalized Mutual Information

Anthony Rowe, Anit Kumar Sahu, Sirajum Munir, 2018, 2018 Annual American Control Conference (ACC).

Energy prediction using spatiotemporal pattern networks

Chao Liu, Soumik Sarkar, Zhanhong Jiang, 2017 .

A VOLTTRON based implementation of Supervisory Control using Generalized Gossip for Building Energy Systems

Soumik Sarkar, Atul G. Kelkar, Venkatesh Chinde, 2016 .

Collaborative Deep Learning in Fixed Topology Networks

Chinmay Hegde, Soumik Sarkar, Zhanhong Jiang, 2017, NIPS.

Building Energy Disaggregation using Spatiotemporal Pattern Network

Chao Liu, Soumik Sarkar, Gregor P. Henze, 2018, 2018 Annual American Control Conference (ACC).

On Consensus-Optimality Trade-offs in Collaborative Deep Learning pdf

Chinmay Hegde, Soumik Sarkar, Zhanhong Jiang, 2018, Frontiers in Artificial Intelligence.

Scalable supervisory control of building energy systems using generalized gossip

Soumik Sarkar, Atul Kelkar, Venkatesh Chinde, 2016, 2016 American Control Conference (ACC).

Comparative Evaluation of Control-Oriented Zone Temperature Prediction Modeling Strategies in Buildings

Soumik Sarkar, Atul G. Kelkar, Venkatesh Chinde, 2015, HRI 2015.

Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation pdf

Soumik Sarkar, Rui Meng, Zhanhong Jiang, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Exploring Granger causality in dynamical systems modeling and performance monitoring

Chao Liu, Soumik Sarkar, Zhanhong Jiang, 2018, 2018 IEEE Conference on Decision and Control (CDC).

On Higher-order Moments in Adam pdf

Soumik Sarkar, Chinmay Hegde, Zhanhong Jiang, 2019, ArXiv.

An Unsupervised Spatiotemporal Graphical Modeling Approach to Anomaly Detection in Distributed CPS

Chao Liu, Soumik Sarkar, Sambuddha Ghosal, 2016, 2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS).

Autonomous Mobile Sensing Platform for Spatio-Temporal Plant Phenotyping

Baskar Ganapathysubramanian, Asheesh K. Singh, Soumik Sarkar, 2017 .

Convergence and noise effect analysis for generalized gossip-based distributed optimization

Kushal Mukherjee, Soumik Sarkar, Zhanhong Jiang, 2017, 2017 American Control Conference (ACC).

Distributed optimization for control and learning

Zhanhong Jiang, Zhanhong Jiang, 2018 .

Understanding Wind Turbine Interactions Using Spatiotemporal Pattern Network

Soumik Sarkar, Zhanhong Jiang, S. Sarkar, 2015 .

Online Robust Policy Learning in the Presence of Unknown Adversaries

Soumik Sarkar, Zhanhong Jiang, Aaron J. Havens, 2018, NeurIPS.

Supervisory Control and Distributed Optimization of Building Energy Systems

Soumik Sarkar, Venkatesh Chinde, Zhanhong Jiang, 2020 .

Probabilistic Graphical Modeling of Distributed Cyber-Physical Systems

Soumik Sarkar, Zhanhong Jiang, Adedotun Akintayo, 2017 .

Hierarchical Optimization for Building Energy Systems

Soumik Sarkar, Zhanhong Jiang, Timothy Wilkie, 2018, 2018 Annual American Control Conference (ACC).

Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems

Chao Liu, Soumik Sarkar, Kin Gwn Lore, 2018, Knowl. Based Syst..

Generalised gossip-based subgradient method for distributed optimisation

Kushal Mukherjee, Soumik Sarkar, Zhanhong Jiang, 2019, Int. J. Control.

Multivariate exploration of non-intrusive load monitoring via spatiotemporal pattern network

Chao Liu, Soumik Sarkar, Gregor P. Henze, 2018 .

Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings

Zhanhong Jiang, Young M. Lee, Young M. Lee, 2019, 2019 IEEE International Conference on Big Data (Big Data).

On distributed optimization using generalized gossip

Kushal Mukherjee, Soumik Sarkar, Zhanhong Jiang, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Data-Driven Performance Monitoring of Dynamical Systems Using Granger Causal Graphical Models

Chao Liu, Soumik Sarkar, Zhanhong Jiang, 2020 .

Decentralized Deep Learning Using Momentum-Accelerated Consensus pdf

Soumik Sarkar, Zhanhong Jiang, Aditya Balu, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems

Soumik Sarkar, Zhanhong Jiang, Tryambak Gangopadhyay, 2020, DDDAS.

Learning State Switching for Multi-sensor Integration

Soumik Sarkar, Zhanhong Jiang, Homagni Saha, 2019, 2019 Sixth Indian Control Conference (ICC).

On Consensus-Disagreement Tradeoff in Distributed Optimization

Kushal Mukherjee, Soumik Sarkar, Zhanhong Jiang, 2018, 2018 Annual American Control Conference (ACC).

An unsupervised anomaly detection approach using energy-based spatiotemporal graphical modeling

Chao Liu, Soumik Sarkar, Sambuddha Ghosal, 2017 .

Collaborative deep learning framework for fault diagnosis in distributed complex systems

Dongxiang Jiang, Zhanhong Jiang, Chao Liu, 2021, Mechanical Systems and Signal Processing.

Building HVAC control with reinforcement learning for reduction of energy cost and demand charge

Kirk H. Drees, Zhanhong Jiang, Michael J. Risbeck, 2021 .

Cross-Gradient Aggregation for Decentralized Learning from Non-IID data

Yasaman Esfandiari, Chinmay Hegde, Soumik Sarkar, 2021, ICML.

Decentralized Deep Learning Using Momentum-Accelerated Consensus

Soumik Sarkar, Zhanhong Jiang, Aditya Balu, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The Stochastic Augmented Lagrangian method for domain adaptation

Chinmay Hegde, Dongxiang Jiang, Zhanhong Jiang, 2021, Knowl. Based Syst..

Quantifying the Tradeoff Between Energy Consumption and the Risk of Airborne Disease Transmission for Building HVAC Systems

Martin Z. Bazant, Kirk H. Drees, Zhanhong Jiang, 2021, Science and Technology for the Built Environment.

MDPGT: Momentum-based Decentralized Policy Gradient Tracking pdf

Chinmay Hegde, Xian Yeow Lee, Zhanhong Jiang, 2021, ArXiv.