Zhanhong Jiang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 39

Top Topics

Dynamical Systems

Granger Causality

Subgradient Method

Top Venues

Knowl. Based Syst.

Publications

Fateme Fotouhi, Aditya Balu, Zhanhong Jiang, Yasaman Esfandiari, Salman Jahani, Soumik Sarkar
Dominating Set Model Aggregation for communication-efficient decentralized deep learning. Neural Networks 171 (2024)
Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee
Asynchronous Training Schemes in Distributed Learning with Time Delay. Trans. Mach. Learn. Res. 2024 (2024)
Biswajit Khara, Ethan Herron, Aditya Balu, Dhruv Gamdha, Chih-Hsuan Yang, Kumar Saurabh, Anushrut Jignasu, Zhanhong Jiang, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Adarsh Krishnamurthy
Neural PDE Solvers for Irregular Domains. Comput. Aided Des. 172 (2024)
Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua R. Waite, Aditya Balu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models. CoRR (2024)
Zhanhong Jiang, Chao Liu, Young M. Lee, Chinmay Hegde, Soumik Sarkar, Dongxiang Jiang
The Stochastic Augmented Lagrangian method for domain adaptation. Knowl. Based Syst. 235 (2022)
Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar
MDPGT: Momentum-Based Decentralized Policy Gradient Tracking. AAAI (2022)
Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar
Distributed Online Non-convex Optimization with Composite Regret. CoRR (2022)
Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar
Distributed Online Non-convex Optimization with Composite Regret. Allerton (2022)
Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee
Asynchronous Training Schemes in Distributed Learning with Time Delay. CoRR (2022)
Biswajit Khara, Ethan Herron, Zhanhong Jiang, Aditya Balu, Chih-Hsuan Yang, Kumar Saurabh, Anushrut Jignasu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
Neural PDE Solvers for Irregular Domains. CoRR (2022)
Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar
Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems. Knowl. Based Syst. 211 (2021)
Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar
Decentralized Deep Learning Using Momentum-Accelerated Consensus. ICASSP (2021)
Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar
Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation. ICASSP (2021)
Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar
MDPGT: Momentum-based Decentralized Policy Gradient Tracking. CoRR (2021)
Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
On Consensus-Optimality Trade-offs in Collaborative Deep Learning. Frontiers Artif. Intell. 4 (2021)
Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar
Cross-Gradient Aggregation for Decentralized Learning from Non-IID data. CoRR (2021)
Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data. ICML (2021)
Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Soumik Sarkar
Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems. DDDAS (2020)
Zhanhong Jiang, Jonathan Francis, Anit Kumar Sahu, Sirajum Munir, Charles Shelton, Anthony Rowe, Mario Bergés
Data-driven Thermal Model Inference with ARMAX, in Smart Environments, based on Normalized Mutual Information. CoRR (2020)
Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar
Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation. CoRR (2020)
Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar
Decentralized Deep Learning using Momentum-Accelerated Consensus. CoRR (2020)
Zhanhong Jiang, Young M. Lee
Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings. CoRR (2019)
Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar
Generalised gossip-based subgradient method for distributed optimisation. Int. J. Control 92 (6) (2019)
Zhanhong Jiang, Young M. Lee
Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings. IEEE BigData (2019)
Zhanhong Jiang, Aditya Balu, Sin Yong Tan, Young M. Lee, Chinmay Hegde, Soumik Sarkar
On Higher-order Moments in Adam. CoRR (2019)
Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar
Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems. CoRR (2018)
Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar
On Consensus-Disagreement Tradeoff in Distributed Optimization. ACC (2018)
Aaron J. Havens, Zhanhong Jiang, Soumik Sarkar
Online Robust Policy Learning in the Presence of Unknown Adversaries. CoRR (2018)
Aaron J. Havens, Zhanhong Jiang, Soumik Sarkar
Online Robust Policy Learning in the Presence of Unknown Adversaries. NeurIPS (2018)
Chao Liu, Zhanhong Jiang, Adedotun Akintayo, Gregor P. Henze, Soumik Sarkar
Building Energy Disaggregation using Spatiotemporal Pattern Network. ACC (2018)
Zhanhong Jiang, Jonathan Francis, Anit Kumar Sahu, Sirajum Munir, Charles Shelton, Anthony Rowe, Mario Berges
Data-driven Thermal Model Inference with ARMAX, in Smart Environments, based on Normalized Mutual Information. ACC (2018)
Homagni Saha, Chao Liu, Zhanhong Jiang, Soumik Sarkar
Exploring Granger causality in dynamical systems modeling and performance monitoring. CDC (2018)
Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
On Consensus-Optimality Trade-offs in Collaborative Deep Learning. CoRR (2018)
Zhanhong Jiang, Timothy Wilkie, Soumik Sarkar
Hierarchical Optimization for Building Energy Systems. ACC (2018)
Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
Collaborative Deep Learning in Fixed Topology Networks. NIPS (2017)
Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar
Convergence and noise effect analysis for generalized gossip-based distributed optimization. ACC (2017)
Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
Collaborative Deep Learning in Fixed Topology Networks. CoRR (2017)
Zhanhong Jiang, Venkatesh Chinde, Adam Kohl, Soumik Sarkar, Atul Kelkar
Scalable supervisory control of building energy systems using generalized gossip. ACC (2016)
Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar
An Unsupervised Spatiotemporal Graphical Modeling Approach to Anomaly Detection in Distributed CPS. ICCPS (2016)
Zhanhong Jiang, Soumik Sarkar, Kushal Mukherjee
On distributed optimization using generalized gossip. CDC (2015)
Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar
An unsupervised spatiotemporal graphical modeling approach to anomaly detection in distributed CPS. CoRR (2015)