On the linear threshold model for diffusion of innovations in multiplex social networks. - Yaofeng Desmond Zhong; Vaibhav Srivastava; Naomi Ehrich Leonard (CDC, 2017)

A Continuous Threshold Model of Cascade Dynamics. - Yaofeng Desmond Zhong; Naomi Ehrich Leonard (CDC, 2019)

Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control. - Yaofeng Desmond Zhong; Biswadip Dey; Amit Chakraborty (ICLR, 2020)

Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control. - Yaofeng Desmond Zhong; Naomi Ehrich Leonard (NeurIPS, 2020)

Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning. - Yaofeng Desmond Zhong; Biswadip Dey; Amit Chakraborty (CoRR, 2020)

Dataset for "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control". - Yaofeng Desmond Zhong; Naomi Ehrich Leonard (Zenodo, 2020)

Multi-Robot Task Allocation Games in Dynamically Changing Environments. - Shinkyu Park; Yaofeng Desmond Zhong; Naomi Ehrich Leonard (ICRA, 2021)

Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data. - Yaofeng Desmond Zhong; Biswadip Dey; Amit Chakraborty (L4DC, 2021)

Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models. - Yaofeng Desmond Zhong; Biswadip Dey; Amit Chakraborty (NeurIPS, 2021)

A Differentiable Contact Model to Extend Lagrangian and Hamiltonian Neural Networks for Modeling Hybrid Dynamics. - Yaofeng Desmond Zhong; Biswadip Dey; Amit Chakraborty (CoRR, 2021)

A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles. - Haoran Su; Yaofeng Desmond Zhong; Biswadip Dey; Amit Chakraborty (CoRR, 2021)

EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles. - Haoran Su; Yaofeng Desmond Zhong; Biswadip Dey; Amit Chakraborty (AAAI, 2022)

EMVLight: a Multi-agent Reinforcement Learning Framework for an Emergency Vehicle Decentralized Routing and Traffic Signal Control System. - Haoran Su; Yaofeng Desmond Zhong; Joseph Y. J. Chow; Biswadip Dey; Li Jin (CoRR, 2022)

Differentiable Physics Simulations with Contacts: Do They Have Correct Gradients w.r.t. Position, Velocity and Control? - Yaofeng Desmond Zhong; Jiequn Han; Georgia Olympia Brikis (CoRR, 2022)

A Neural ODE Interpretation of Transformer Layers. - Yaofeng Desmond Zhong; Tongtao Zhang; Amit Chakraborty; Biswadip Dey (CoRR, 2022)

Influence Spread in the Heterogeneous Multiplex Linear Threshold Model. - Yaofeng Desmond Zhong; Vaibhav Srivastava; Naomi Ehrich Leonard (IEEE Trans. Control. Netw. Syst., 2022)

Improving Gradient Computation for Differentiable Physics Simulation with Contacts. - Yaofeng Desmond Zhong; Jiequn Han; Biswadip Dey; Georgia Olympia Brikis (L4DC, 2023)