Yaofeng Desmond Zhong

23 papers A* 5Journal 14Unranked 4

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