Zhanhong Jiang

发表

Learning State Switching for Improved Exploration in Multi-sensor Environments

Sin Yong Tan, S. Sarkar, Homagni Saha, 2019 .

Incremental Consensus based Collaborative Deep Learning

C. Hegde, S. Sarkar, Zhanhong Jiang, 2018 .

DSCC 2015-9784 UNDERSTANDING WIND TURBINE INTERACTIONS USING SPATIOTEMP ORAL PATTERN NETWORK

S. Sarkar, Zhanhong Jiang, 2015 .

Neural PDE Solvers for Irregular Domains

C. Hegde, S. Sarkar, B. Ganapathysubramanian, 2022, ArXiv.

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).

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..

Modeling and multiobjective optimization of indoor airborne disease transmission risk and associated energy consumption for building HVAC systems

M. J. Risbeck, K. H. Drees, Young M. Lee, 2021, Energy and Buildings.

Quantifying the tradeoff between energy consumption and the risk of airborne disease transmission for building HVAC systems

M. J. Risbeck, K. H. Drees, Y. M. Lee, 2021, medRxiv.

Distributed Online Non-convex Optimization with Composite Regret

Xian Yeow Lee, Young M. Lee, C. Hegde, 2022, 2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Collaborative Deep Learning in Fixed Topology Networks

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

Probabilistic Graphical Modeling of Distributed Cyber-Physical Systems

Soumik Sarkar, Zhanhong Jiang, Adedotun Akintayo, 2017 .

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).

The Stochastic Augmented Lagrangian method for domain adaptation

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

Online Robust Policy Learning in the Presence of Unknown Adversaries

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

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

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

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

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

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).

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

Sin Yong Tan, C. Hegde, S. Sarkar, 2021, ICML.

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).

Collaborative deep learning framework for fault diagnosis in distributed complex systems

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

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

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

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

Chao Liu, Soumik Sarkar, Sambuddha Ghosal, 2017 .

Understanding Wind Turbine Interactions Using Spatiotemporal Pattern Network

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

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).

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

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

Hierarchical Optimization for Building Energy Systems

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

Dominating Set Model Aggregation for communication-efficient decentralized deep learning.

S. Sarkar, Zhanhong Jiang, Aditya Balu, 2023, Neural networks : the official journal of the International Neural Network Society.

A Timeseries Supervised Learning Framework for Fault Prediction in Chiller Systems

M. J. Risbeck, Young M. Lee, Zhanhong Jiang, 2023, Energy and Buildings.