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ORCIDZhanhong Jiang
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2020 – today
- 2024
[j7]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: 103709 (2024)- [j6]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: 25-39 (2024) - [j5]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) - [c19]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. CVPR 2024: 27507-27517 - [i18]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 abs/2404.08079 (2024) - [i17]Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody H. Fleming:
Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning. CoRR abs/2412.08794 (2024) - [i16]Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody H. Fleming:
FAWAC: Feasibility Informed Advantage Weighted Regression for Persistent Safety in Offline Reinforcement Learning. CoRR abs/2412.08880 (2024) - 2022
- [j4]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: 107593 (2022) - [c18]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: 9377-9385 - [c17]Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
Distributed Online Non-convex Optimization with Composite Regret. Allerton 2022: 1-8 - [i15]Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee:
Asynchronous Training Schemes in Distributed Learning with Time Delay. CoRR abs/2208.13154 (2022) - [i14]Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
Distributed Online Non-convex Optimization with Composite Regret. CoRR abs/2209.10105 (2022) - [i13]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 abs/2211.03241 (2022) - 2021
- [j3]Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar:
On Consensus-Optimality Trade-offs in Collaborative Deep Learning. Frontiers Artif. Intell. 4: 573731 (2021) - [j2]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: 106527 (2021) - [c16]Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar:
Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation. ICASSP 2021: 3560-3564 - [c15]Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar:
Decentralized Deep Learning Using Momentum-Accelerated Consensus. ICASSP 2021: 3675-3679 - [c14]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: 3036-3046 - [i12]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 abs/2103.02051 (2021) - [i11]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 abs/2112.02813 (2021) - 2020
- [c13]Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Soumik Sarkar:
Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems. DDDAS 2020: 93-101 - [i10]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 abs/2006.06088 (2020) - [i9]Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar:
Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation. CoRR abs/2008.04882 (2020) - [i8]Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar:
Decentralized Deep Learning using Momentum-Accelerated Consensus. CoRR abs/2010.11166 (2020)
2010 – 2019
- 2019
- [j1]Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar:
Generalised gossip-based subgradient method for distributed optimisation. Int. J. Control 92(6): 1209-1225 (2019) - [c12]Zhanhong Jiang, Young M. Lee:
Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings. IEEE BigData 2019: 2033-2037 - [i7]Zhanhong Jiang, Aditya Balu, Sin Yong Tan, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
On Higher-order Moments in Adam. CoRR abs/1910.06878 (2019) - [i6]Zhanhong Jiang, Young M. Lee:
Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings. CoRR abs/1911.03318 (2019) - 2018
- [c11]Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar:
On Consensus-Disagreement Tradeoff in Distributed Optimization. ACC 2018: 571-576 - [c10]Chao Liu, Zhanhong Jiang, Adedotun Akintayo, Gregor P. Henze, Soumik Sarkar:
Building Energy Disaggregation using Spatiotemporal Pattern Network. ACC 2018: 1052-1057 - [c9]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: 4634-4639 - [c8]Zhanhong Jiang, Timothy Wilkie, Soumik Sarkar:
Hierarchical Optimization for Building Energy Systems. ACC 2018: 4646-4651 - [c7]Homagni Saha, Chao Liu, Zhanhong Jiang, Soumik Sarkar:
Exploring Granger causality in dynamical systems modeling and performance monitoring. CDC 2018: 2537-2542 - [c6]Aaron J. Havens, Zhanhong Jiang, Soumik Sarkar:
Online Robust Policy Learning in the Presence of Unknown Adversaries. NeurIPS 2018: 9938-9948 - [i5]Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar:
On Consensus-Optimality Trade-offs in Collaborative Deep Learning. CoRR abs/1805.12120 (2018) - [i4]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 abs/1805.12296 (2018) - [i3]Aaron J. Havens, Zhanhong Jiang, Soumik Sarkar:
Online Robust Policy Learning in the Presence of Unknown Adversaries. CoRR abs/1807.06064 (2018) - 2017
- [c5]Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar:
Convergence and noise effect analysis for generalized gossip-based distributed optimization. ACC 2017: 4353-4358 - [c4]Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar:
Collaborative Deep Learning in Fixed Topology Networks. NIPS 2017: 5904-5914 - [i2]Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar:
Collaborative Deep Learning in Fixed Topology Networks. CoRR abs/1706.07880 (2017) - 2016
- [c3]Zhanhong Jiang, Venkatesh Chinde, Adam Kohl, Soumik Sarkar, Atul Kelkar:
Scalable supervisory control of building energy systems using generalized gossip. ACC 2016: 581-586 - [c2]Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar:
An Unsupervised Spatiotemporal Graphical Modeling Approach to Anomaly Detection in Distributed CPS. ICCPS 2016: 1:1-1:10 - 2015
- [c1]Zhanhong Jiang, Soumik Sarkar, Kushal Mukherjee:
On distributed optimization using generalized gossip. CDC 2015: 2667-2672 - [i1]Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar:
An unsupervised spatiotemporal graphical modeling approach to anomaly detection in distributed CPS. CoRR abs/1512.07876 (2015)
Coauthor Index
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