Yaofeng Desmond Zhong

Orcid: 0000-0003-0621-9153

According to our database1, Yaofeng Desmond Zhong authored at least 17 papers between 2017 and 2023.

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Bibliography

2023
Improving Gradient Computation for Differentiable Physics Simulation with Contacts.
Proceedings of the Learning for Dynamics and Control Conference, 2023

2022
Influence Spread in the Heterogeneous Multiplex Linear Threshold Model.
IEEE Trans. Control. Netw. Syst., 2022

A Neural ODE Interpretation of Transformer Layers.
CoRR, 2022

Differentiable Physics Simulations with Contacts: Do They Have Correct Gradients w.r.t. Position, Velocity and Control?
CoRR, 2022

EMVLight: a Multi-agent Reinforcement Learning Framework for an Emergency Vehicle Decentralized Routing and Traffic Signal Control System.
CoRR, 2022

EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles.
CoRR, 2021

A Differentiable Contact Model to Extend Lagrangian and Hamiltonian Neural Networks for Modeling Hybrid Dynamics.
CoRR, 2021

Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Multi-Robot Task Allocation Games in Dynamically Changing Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Dataset for "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control".
Dataset, October, 2020

Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning.
CoRR, 2020

Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
A Continuous Threshold Model of Cascade Dynamics.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2017
On the linear threshold model for diffusion of innovations in multiplex social networks.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017


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