Zhanhong Jiang

According to our database, Zhanhong Jiang authored at least 25 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

The Stochastic Augmented Lagrangian method for domain adaptation.

Zhanhong Jiang, Chao Liu, Young M. Lee, Chinmay Hegde, Soumik Sarkar, Dongxiang Jiang

Knowl. Based Syst., 2022

Neural PDE Solvers for Irregular Domains.

Biswajit Khara, Ethan Herron, Zhanhong Jiang, Aditya Balu, Chih-Hsuan Yang, Kumar Saurabh, Anushrut Jignasu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian

CoRR, 2022

Asynchronous Training Schemes in Distributed Learning with Time Delay.

Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee

CoRR, 2022

Distributed Online Non-convex Optimization with Composite Regret.

Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

MDPGT: Momentum-Based Decentralized Policy Gradient Tracking.

Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems.

Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar

Knowl. Based Syst., 2021

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

Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar

Frontiers Artif. Intell., 2021

Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data.

Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar

Proceedings of the 38th International Conference on Machine Learning, 2021

Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation.

Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar

Proceedings of the IEEE International Conference on Acoustics, 2021

Decentralized Deep Learning Using Momentum-Accelerated Consensus.

Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

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

Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Soumik Sarkar

Proceedings of the Dynamic Data Driven Applications Systems, 2020

2019

Generalised gossip-based subgradient method for distributed optimisation.

Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar

Int. J. Control, 2019

On Higher-order Moments in Adam.

Zhanhong Jiang, Aditya Balu, Sin Yong Tan, Young M. Lee, Chinmay Hegde, Soumik Sarkar

CoRR, 2019

Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings.

Zhanhong Jiang, Young M. Lee

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Online Robust Policy Learning in the Presence of Unknown Adversaries.

Aaron J. Havens, Zhanhong Jiang, Soumik Sarkar

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Exploring Granger causality in dynamical systems modeling and performance monitoring.

Homagni Saha, Chao Liu, Zhanhong Jiang, Soumik Sarkar

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Building Energy Disaggregation using Spatiotemporal Pattern Network.

Chao Liu, Zhanhong Jiang, Adedotun Akintayo, Gregor P. Henze, Soumik Sarkar

Proceedings of the 2018 Annual American Control Conference, 2018

Hierarchical Optimization for Building Energy Systems.

Zhanhong Jiang, Timothy Wilkie, Soumik Sarkar

Proceedings of the 2018 Annual American Control Conference, 2018

On Consensus-Disagreement Tradeoff in Distributed Optimization.

Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar

Proceedings of the 2018 Annual American Control Conference, 2018

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

Zhanhong Jiang, Jonathan Francis, Anit Kumar Sahu, Sirajum Munir, Charles Shelton, Anthony Rowe, Mario Berges

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Collaborative Deep Learning in Fixed Topology Networks.

Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

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

Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar

Proceedings of the 2017 American Control Conference, 2017

2016

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

Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar

Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016

Scalable supervisory control of building energy systems using generalized gossip.

Zhanhong Jiang, Venkatesh Chinde, Adam Kohl, Soumik Sarkar, Atul Kelkar

Proceedings of the 2016 American Control Conference, 2016

2015

On distributed optimization using generalized gossip.

Zhanhong Jiang, Soumik Sarkar, Kushal Mukherjee

Proceedings of the 54th IEEE Conference on Decision and Control, 2015