Zhong, Yaofeng Desmond

9 publications

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

NeurIPSW 2022 A Neural ODE Interpretation of Transformer Layers Yaofeng Desmond Zhong, Tongtao Zhang, Amit Chakraborty, Biswadip Dey

ICMLW 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

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

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

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

ICLRW 2020 Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty

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

NeurIPS 2020 Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control Yaofeng Desmond Zhong, Naomi Leonard