Zhanhong Jiang

62 papers A* 5B 1C 6Misc 2Journal 37Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bidirectional linear recurrent models for sequence-level multisource fusion. Inf. Fusion Qisai Liu, Zhanhong Jiang, Md. Zahid Hasan, Joshua R. Waite, Chao Liu, Aditya Balu, Soumik Sarkar
2026	J	`jnl`	LexiSafe: Offline Safe Reinforcement Learning with Lexicographic Safety-Reward Hierarchy. CoRR Hsin-Jung Yang, Zhanhong Jiang, Prajwal Koirala, Qisai Liu, Cody H. Fleming, Soumik Sarkar
2025	—	`conf`	Automated Seizure Detection in Animal EEG Signals. MLCB Shreyan Ganguly, Zhanhong Jiang, Nyzil Massey, Nikhil Sanjay Rao, Thimmasettappa Thippeswamy, Soumik Sarkar
2025	J	`jnl`	Balancing Utility and Privacy: Dynamically Private SGD with Random Projection. CoRR Zhanhong Jiang, Md. Zahid Hasan, Nastaran Saadati, Aditya Balu, Chao Liu, Soumik Sarkar
2025	J	`jnl`	Balancing Utility and Privacy: Dynamically Private SGD with Random Projection. Trans. Mach. Learn. Res. Zhanhong Jiang, Md. Zahid Hasan, Nastaran Saadati, Aditya Balu, Chao Liu, Soumik Sarkar
2025	J	`jnl`	Bidirectional Linear Recurrent Models for Sequence-Level Multisource Fusion. CoRR Qisai Liu, Zhanhong Jiang, Joshua R. Waite, Chao Liu, Aditya Balu, Soumik Sarkar
2025	J	`jnl`	Data-driven Kinematic Modeling in Soft Robots: System Identification and Uncertainty Quantification. CoRR Zhanhong Jiang, Dylan Shah, Hsin-Jung Yang, Soumik Sarkar
2025	J	`jnl`	DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models. CoRR Nastaran Saadati, Zhanhong Jiang, Joshua R. Waite, Shreyan Ganguly, Aditya Balu, Chinmay Hegde, Soumik Sarkar
2025	J	`jnl`	Enhancing PPO with Trajectory-Aware Hybrid Policies. CoRR Qisai Liu, Zhanhong Jiang, Hsin-Jung Yang, Mahsa Khosravi, Joshua R. Waite, Soumik Sarkar
2025	J	`jnl`	FUSE: First-Order and Second-Order Unified SynthEsis in Stochastic Optimization. CoRR Zhanhong Jiang, Md. Zahid Hasan, Aditya Balu, Joshua R. Waite, Genyi Huang, Soumik Sarkar
2025	—	`conf`	FUSE: First-Order and Second-Order Unified Synthesis in Stochastic Optimization. CAI Zhanhong Jiang, Md. Zahid Hasan, Aditya Balu, Joshua R. Waite, Genyi Huang, Soumik Sarkar
2025	—	`conf`	Feasibility Informed Advantage Weighted Regression for Persistent Safety in Offline Reinforcement Learning. CDC Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody H. Fleming
2025	B	`conf`	Foundation Model Efficient Fine-Tuning in Centralized and Federated Settings. IEEE Big Data Nastaran Saadati, Zhanhong Jiang, Aditya Balu, Chao Liu, Chinmay Hegde, Soumik Sarkar
2025	A*	`conf`	Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning. ICLR Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody H. Fleming
2025	J	`jnl`	Optimizing Navigation And Chemical Application in Precision Agriculture With Deep Reinforcement Learning And Conditional Action Tree. CoRR Mahsa Khosravi, Zhanhong Jiang, Joshua R. Waite, Sarah E. Jones, Hernan Torres, Arti Singh, Baskar Ganapathysubramanian, Asheesh Kumar Singh, Soumik Sarkar
2025	—	`conf`	RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception. ICCPS Joshua R. Waite, Md. Zahid Hasan, Qisai Liu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar
2025	J	`jnl`	RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception. CoRR Joshua R. Waite, Md. Zahid Hasan, Qisai Liu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar
2024	J	`jnl`	Asynchronous Training Schemes in Distributed Learning with Time Delay. Trans. Mach. Learn. Res. Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee
2024	A*	`conf`	DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models. CVPR Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua R. Waite, Aditya Balu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar
2024	J	`jnl`	DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models. CoRR Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua R. Waite, Aditya Balu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar
2024	J	`jnl`	Dominating Set Model Aggregation for communication-efficient decentralized deep learning. Neural Networks Fateme Fotouhi, Aditya Balu, Zhanhong Jiang, Yasaman Esfandiari, Salman Jahani, Soumik Sarkar
2024	J	`jnl`	FAWAC: Feasibility Informed Advantage Weighted Regression for Persistent Safety in Offline Reinforcement Learning. CoRR Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody H. Fleming
2024	J	`jnl`	Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning. CoRR Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody H. Fleming
2024	J	`jnl`	Neural PDE Solvers for Irregular Domains. Comput. Aided Des. 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
2024	J	`jnl`	STITCH: Surface reconstrucTion using Implicit neural representations with Topology Constraints and persistent Homology. CoRR Anushrut Jignasu, Ethan Herron, Zhanhong Jiang, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Aditya Balu, Adarsh Krishnamurthy
2022	J	`jnl`	Asynchronous Training Schemes in Distributed Learning with Time Delay. CoRR Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee
2022	—	`conf`	Distributed Online Non-convex Optimization with Composite Regret. Allerton Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2022	J	`jnl`	Distributed Online Non-convex Optimization with Composite Regret. CoRR Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2022	A*	`conf`	MDPGT: Momentum-Based Decentralized Policy Gradient Tracking. AAAI Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2022	J	`jnl`	Neural PDE Solvers for Irregular Domains. CoRR Biswajit Khara, Ethan Herron, Zhanhong Jiang, Aditya Balu, Chih-Hsuan Yang, Kumar Saurabh, Anushrut Jignasu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2022	J	`jnl`	The Stochastic Augmented Lagrangian method for domain adaptation. Knowl. Based Syst. Zhanhong Jiang, Chao Liu, Young M. Lee, Chinmay Hegde, Soumik Sarkar, Dongxiang Jiang
2021	A*	`conf`	Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data. ICML Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar
2021	J	`jnl`	Cross-Gradient Aggregation for Decentralized Learning from Non-IID data. CoRR Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar
2021	Misc	`conf`	Decentralized Deep Learning Using Momentum-Accelerated Consensus. ICASSP Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar
2021	J	`jnl`	MDPGT: Momentum-based Decentralized Policy Gradient Tracking. CoRR Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2021	J	`jnl`	On Consensus-Optimality Trade-offs in Collaborative Deep Learning. Frontiers Artif. Intell. Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
2021	J	`jnl`	Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems. Knowl. Based Syst. Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar
2021	Misc	`conf`	Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation. ICASSP Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar
2020	J	`jnl`	Data-driven Thermal Model Inference with ARMAX, in Smart Environments, based on Normalized Mutual Information. CoRR Zhanhong Jiang, Jonathan Francis, Anit Kumar Sahu, Sirajum Munir, Charles Shelton, Anthony Rowe, Mario Bergés
2020	J	`jnl`	Decentralized Deep Learning using Momentum-Accelerated Consensus. CoRR Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar
2020	—	`conf`	Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems. DDDAS Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Soumik Sarkar
2020	J	`jnl`	Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation. CoRR Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar
2019	—	`conf`	Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings. IEEE BigData Zhanhong Jiang, Young M. Lee
2019	J	`jnl`	Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings. CoRR Zhanhong Jiang, Young M. Lee
2019	J	`jnl`	Generalised gossip-based subgradient method for distributed optimisation. Int. J. Control Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar
2019	J	`jnl`	On Higher-order Moments in Adam. CoRR Zhanhong Jiang, Aditya Balu, Sin Yong Tan, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2018	C	`conf`	Building Energy Disaggregation using Spatiotemporal Pattern Network. ACC Chao Liu, Zhanhong Jiang, Adedotun Akintayo, Gregor P. Henze, Soumik Sarkar
2018	C	`conf`	Data-driven Thermal Model Inference with ARMAX, in Smart Environments, based on Normalized Mutual Information. ACC Zhanhong Jiang, Jonathan Francis, Anit Kumar Sahu, Sirajum Munir, Charles Shelton, Anthony Rowe, Mario Berges
2018	—	`conf`	Exploring Granger causality in dynamical systems modeling and performance monitoring. CDC Homagni Saha, Chao Liu, Zhanhong Jiang, Soumik Sarkar
2018	C	`conf`	Hierarchical Optimization for Building Energy Systems. ACC Zhanhong Jiang, Timothy Wilkie, Soumik Sarkar
2018	C	`conf`	On Consensus-Disagreement Tradeoff in Distributed Optimization. ACC Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar
2018	J	`jnl`	On Consensus-Optimality Trade-offs in Collaborative Deep Learning. CoRR Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
2018	A*	`conf`	Online Robust Policy Learning in the Presence of Unknown Adversaries. NeurIPS Aaron J. Havens, Zhanhong Jiang, Soumik Sarkar
2018	J	`jnl`	Online Robust Policy Learning in the Presence of Unknown Adversaries. CoRR Aaron J. Havens, Zhanhong Jiang, Soumik Sarkar
2018	J	`jnl`	Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems. CoRR Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar
2017	—	`conf`	Collaborative Deep Learning in Fixed Topology Networks. NIPS Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
2017	J	`jnl`	Collaborative Deep Learning in Fixed Topology Networks. CoRR Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
2017	C	`conf`	Convergence and noise effect analysis for generalized gossip-based distributed optimization. ACC Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar
2016	—	`conf`	An Unsupervised Spatiotemporal Graphical Modeling Approach to Anomaly Detection in Distributed CPS. ICCPS Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar
2016	C	`conf`	Scalable supervisory control of building energy systems using generalized gossip. ACC Zhanhong Jiang, Venkatesh Chinde, Adam Kohl, Soumik Sarkar, Atul G. Kelkar
2015	J	`jnl`	An unsupervised spatiotemporal graphical modeling approach to anomaly detection in distributed CPS. CoRR Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar
2015	—	`conf`	On distributed optimization using generalized gossip. CDC Zhanhong Jiang, Soumik Sarkar, Kushal Mukherjee