Zhanhong Jiang

According to our database, Zhanhong Jiang authored at least 38 papers between 2015 and 2025.

Collaborative distances:

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

2025

Data-driven Kinematic Modeling in Soft Robots: System Identification and Uncertainty Quantification.

Zhanhong Jiang, Dylan Shah, Hsin-Jung Yang, Soumik Sarkar

CoRR, July, 2025

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models.

Nastaran Saadati, Zhanhong Jiang, Joshua R. Waite, Shreyan Ganguly, Aditya Balu, Chinmay Hegde, Soumik Sarkar

CoRR, May, 2025

Bidirectional Linear Recurrent Models for Sequence-Level Multisource Fusion.

Qisai Liu, Zhanhong Jiang, Joshua R. Waite, Chao Liu, Aditya Balu, Soumik Sarkar

CoRR, April, 2025

Optimizing Navigation And Chemical Application in Precision Agriculture With Deep Reinforcement Learning And Conditional Action Tree.

Mahsa Khosravi, Zhanhong Jiang, Joshua R. Waite, Sarah E. Jones, Hernan Torres, Arti Singh, Baskar Ganapathysubramanian, Asheesh Kumar Singh, Soumik Sarkar

CoRR, March, 2025

FUSE: First-Order and Second-Order Unified SynthEsis in Stochastic Optimization.

Zhanhong Jiang, Md. Zahid Hasan, Aditya Balu, Joshua R. Waite, Genyi Huang, Soumik Sarkar

CoRR, March, 2025

Enhancing PPO with Trajectory-Aware Hybrid Policies.

Qisai Liu, Zhanhong Jiang, Hsin-Jung Yang, Mahsa Khosravi, Joshua R. Waite, Soumik Sarkar

CoRR, February, 2025

Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning.

Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody H. Fleming

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception.

Joshua R. Waite, Md. Zahid Hasan, Qisai Liu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar

Proceedings of the ACM/IEEE 16th International Conference on Cyber-Physical Systems, 2025

2024

Asynchronous Training Schemes in Distributed Learning with Time Delay.

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

Trans. Mach. Learn. Res., 2024

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

Fateme Fotouhi, Aditya Balu, Zhanhong Jiang, Yasaman Esfandiari, Salman Jahani, Soumik Sarkar

Neural Networks, 2024

STITCH: Surface reconstrucTion using Implicit neural representations with Topology Constraints and persistent Homology.

Anushrut Jignasu, Ethan Herron, Zhanhong Jiang, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Aditya Balu, Adarsh Krishnamurthy

CoRR, 2024

FAWAC: Feasibility Informed Advantage Weighted Regression for Persistent Safety in Offline Reinforcement Learning.

Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody H. Fleming

CoRR, 2024

Neural PDE Solvers for Irregular Domains.

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

Comput. Aided Des., 2024

DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models.

Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua R. Waite, Aditya Balu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

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 G. 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