Zhanhong Jiang

According to our database1, Zhanhong Jiang authored at least 28 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Asynchronous Training Schemes in Distributed Learning with Time Delay.
Trans. Mach. Learn. Res., 2024

Dominating Set Model Aggregation for communication-efficient decentralized deep learning.
Neural Networks, 2024

Neural PDE Solvers for Irregular Domains.
Comput. Aided Des., 2024

DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022
The Stochastic Augmented Lagrangian method for domain adaptation.
Knowl. Based Syst., 2022

Neural PDE Solvers for Irregular Domains.
CoRR, 2022

Distributed Online Non-convex Optimization with Composite Regret.
Proceedings of the 58th Annual Allerton Conference on Communication, 2022

MDPGT: Momentum-Based Decentralized Policy Gradient Tracking.
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.
Knowl. Based Syst., 2021

On Consensus-Optimality Trade-offs in Collaborative Deep Learning.
Frontiers Artif. Intell., 2021

Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data.
Proceedings of the 38th International Conference on Machine Learning, 2021

Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Decentralized Deep Learning Using Momentum-Accelerated Consensus.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems.
Proceedings of the Dynamic Data Driven Applications Systems, 2020

2019
Generalised gossip-based subgradient method for distributed optimisation.
Int. J. Control, 2019

On Higher-order Moments in Adam.
CoRR, 2019

Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Online Robust Policy Learning in the Presence of Unknown Adversaries.
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.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Building Energy Disaggregation using Spatiotemporal Pattern Network.
Proceedings of the 2018 Annual American Control Conference, 2018

Hierarchical Optimization for Building Energy Systems.
Proceedings of the 2018 Annual American Control Conference, 2018

On Consensus-Disagreement Tradeoff in Distributed Optimization.
Proceedings of the 2018 Annual American Control Conference, 2018

Data-driven Thermal Model Inference with ARMAX, in Smart Environments, based on Normalized Mutual Information.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Collaborative Deep Learning in Fixed Topology Networks.
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.
Proceedings of the 2017 American Control Conference, 2017

2016
An Unsupervised Spatiotemporal Graphical Modeling Approach to Anomaly Detection in Distributed CPS.
Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016

Scalable supervisory control of building energy systems using generalized gossip.
Proceedings of the 2016 American Control Conference, 2016

2015
On distributed optimization using generalized gossip.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015


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