Yaofeng Desmond Zhong

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 23

Top Topics

Nonlinear Predictive Control

Traffic Signal Control

Reinforcement Learning

Top Venues

Publications

Yaofeng Desmond Zhong, Jiequn Han, Biswadip Dey, Georgia Olympia Brikis
Improving Gradient Computation for Differentiable Physics Simulation with Contacts. L4DC (2023)
Yaofeng Desmond Zhong, Jiequn Han, Biswadip Dey, Georgia Olympia Brikis
Improving Gradient Computation for Differentiable Physics Simulation with Contacts. CoRR (2023)
Yaofeng Desmond Zhong, Tongtao Zhang, Amit Chakraborty, Biswadip Dey
A Neural ODE Interpretation of Transformer Layers. CoRR (2022)
Yaofeng Desmond Zhong, Vaibhav Srivastava, Naomi Ehrich Leonard
Influence Spread in the Heterogeneous Multiplex Linear Threshold Model. IEEE Trans. Control. Netw. Syst. 9 (3) (2022)
Haoran Su, Yaofeng Desmond Zhong, Joseph Y. J. Chow, Biswadip Dey, Li Jin
EMVLight: a Multi-agent Reinforcement Learning Framework for an Emergency Vehicle Decentralized Routing and Traffic Signal Control System. CoRR (2022)
Yaofeng Desmond Zhong, Jiequn Han, Georgia Olympia Brikis
Differentiable Physics Simulations with Contacts: Do They Have Correct Gradients w.r.t. Position, Velocity and Control? CoRR (2022)
Haoran Su, Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles. AAAI (2022)
Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
A Differentiable Contact Model to Extend Lagrangian and Hamiltonian Neural Networks for Modeling Hybrid Dynamics. CoRR (2021)
Haoran Su, Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles. CoRR (2021)
Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models. NeurIPS (2021)
Shinkyu Park, Yaofeng Desmond Zhong, Naomi Ehrich Leonard
Multi-Robot Task Allocation Games in Dynamically Changing Environments. ICRA (2021)
Haoran Su, Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles. CoRR (2021)
Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data. L4DC (2021)
Yaofeng Desmond Zhong, Naomi Ehrich Leonard
Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control. NeurIPS (2020)
Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control. ICLR (2020)
Yaofeng Desmond Zhong, Vaibhav Srivastava, Naomi Ehrich Leonard
Influence Spread in the Heterogeneous Multiplex Linear Threshold Model. CoRR (2020)
Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data. CoRR (2020)
Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning. CoRR (2020)
Yaofeng Desmond Zhong, Naomi Ehrich Leonard
Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control. CoRR (2020)
Yaofeng Desmond Zhong, Naomi Ehrich Leonard
A Continuous Threshold Model of Cascade Dynamics. CDC (2019)
Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control. CoRR (2019)
Yaofeng Desmond Zhong, Naomi Ehrich Leonard
A Continuous Threshold Model of Cascade Dynamics. CoRR (2019)
Yaofeng Desmond Zhong, Vaibhav Srivastava, Naomi Ehrich Leonard
On the linear threshold model for diffusion of innovations in multiplex social networks. CDC (2017)