On distributed optimization using generalized gossip. - Zhanhong Jiang; Soumik Sarkar; Kushal Mukherjee (CDC, 2015)

Scalable supervisory control of building energy systems using generalized gossip. - Zhanhong Jiang; Venkatesh Chinde; Adam Kohl; Soumik Sarkar; Atul G. Kelkar (ACC, 2016)

An Unsupervised Spatiotemporal Graphical Modeling Approach to Anomaly Detection in Distributed CPS. - Chao Liu 028; Sambuddha Ghosal; Zhanhong Jiang; Soumik Sarkar (ICCPS, 2016)

Convergence and noise effect analysis for generalized gossip-based distributed optimization. - Zhanhong Jiang; Kushal Mukherjee; Soumik Sarkar (ACC, 2017)

Collaborative Deep Learning in Fixed Topology Networks. - Zhanhong Jiang; Aditya Balu; Chinmay Hegde; Soumik Sarkar (NIPS, 2017)

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 001; Mario Berges (ACC, 2018)

On Consensus-Disagreement Tradeoff in Distributed Optimization. - Zhanhong Jiang; Kushal Mukherjee; Soumik Sarkar (ACC, 2018)

Hierarchical Optimization for Building Energy Systems. - Zhanhong Jiang; Timothy Wilkie; Soumik Sarkar (ACC, 2018)

Building Energy Disaggregation using Spatiotemporal Pattern Network. - Chao Liu 028; Zhanhong Jiang; Adedotun Akintayo; Gregor P. Henze; Soumik Sarkar (ACC, 2018)

Exploring Granger causality in dynamical systems modeling and performance monitoring. - Homagni Saha; Chao Liu 028; Zhanhong Jiang; Soumik Sarkar (CDC, 2018)

Online Robust Policy Learning in the Presence of Unknown Adversaries. - Aaron J. Havens; Zhanhong Jiang; Soumik Sarkar (NeurIPS, 2018)

Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings. - Zhanhong Jiang; Young M. Lee (IEEE BigData, 2019)

On Higher-order Moments in Adam. - Zhanhong Jiang; Aditya Balu; Sin Yong Tan; Young M. Lee; Chinmay Hegde; Soumik Sarkar (CoRR, 2019)

Generalised gossip-based subgradient method for distributed optimisation. - Zhanhong Jiang; Kushal Mukherjee; Soumik Sarkar (Int. J. Control, 2019)

Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems. - Tryambak Gangopadhyay; Sin Yong Tan; Zhanhong Jiang; Soumik Sarkar (DDDAS, 2020)

Decentralized Deep Learning Using Momentum-Accelerated Consensus. - Aditya Balu; Zhanhong Jiang; Sin Yong Tan; Chinmay Hegde; Young M. Lee; Soumik Sarkar (ICASSP, 2021)

Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation. - Tryambak Gangopadhyay; Sin Yong Tan; Zhanhong Jiang; Rui Meng; Soumik Sarkar (ICASSP, 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 (ICML, 2021)

On Consensus-Optimality Trade-offs in Collaborative Deep Learning. - Zhanhong Jiang; Aditya Balu; Chinmay Hegde; Soumik Sarkar (Frontiers Artif. Intell., 2021)

Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems. - Chao Liu 028; Kin Gwn Lore; Zhanhong Jiang; Soumik Sarkar (Knowl. Based Syst., 2021)

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 (AAAI, 2022)

Distributed Online Non-convex Optimization with Composite Regret. - Zhanhong Jiang; Aditya Balu; Xian Yeow Lee; Young M. Lee; Chinmay Hegde; Soumik Sarkar (Allerton, 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)

The Stochastic Augmented Lagrangian method for domain adaptation. - Zhanhong Jiang; Chao Liu 028; Young M. Lee; Chinmay Hegde; Soumik Sarkar; Dongxiang Jiang (Knowl. Based Syst., 2022)

DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models. - Nastaran Saadati; Minh Pham 005; Nasla Saleem; Joshua R. Waite; Aditya Balu; Zhanhong Jiang; Chinmay Hegde; Soumik Sarkar (CVPR, 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)

FAWAC: Feasibility Informed Advantage Weighted Regression for Persistent Safety in Offline Reinforcement Learning. - Prajwal Koirala; Zhanhong Jiang; Soumik Sarkar; Cody H. Fleming (CoRR, 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)

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)

Asynchronous Training Schemes in Distributed Learning with Time Delay. - Haoxiang Wang 006; Zhanhong Jiang; Chao Liu 028; Soumik Sarkar; Dongxiang Jiang; Young M. Lee (Trans. Mach. Learn. Res., 2024)

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 (ICCPS, 2025)

Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning. - Prajwal Koirala; Zhanhong Jiang; Soumik Sarkar; Cody H. Fleming (ICLR, 2025)

Enhancing PPO with Trajectory-Aware Hybrid Policies. - Qisai Liu; Zhanhong Jiang; Hsin-Jung Yang; Mahsa Khosravi; Joshua R. Waite; Soumik Sarkar (CoRR, 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, 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, 2025)

Bidirectional Linear Recurrent Models for Sequence-Level Multisource Fusion. - Qisai Liu; Zhanhong Jiang; Joshua R. Waite; Chao Liu 028; Aditya Balu; Soumik Sarkar (CoRR, 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, 2025)

Data-driven Kinematic Modeling in Soft Robots: System Identification and Uncertainty Quantification. - Zhanhong Jiang; Dylan Shah; Hsin-Jung Yang; Soumik Sarkar (CoRR, 2025)