Yaofeng Desmond Zhong
6 papers · 2020–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (16) π§ Keyword Pioneer π Cross-Pollinator (15)
π
Keyword Champion
(2)
Conferences
L4DC (2)
NIPS (2)
AAAI (1)
ICLR (1)
Top co-authors
Keywords
energy-based controller
(2)
hamiltonian neural network
(2)
reinforcement learning
(1)
optimal control
(1)
gradient computation
(1)
decentralized control
(1)
variational autoencoder
(1)
physics-informed learning
(1)
energy-based model
(1)
differentiable simulation
(1)
routing optimization
(1)
decentralized learning
(1)
traffic signal control
(1)
route optimization
(1)
dynamics learning
(1)
lagrangian dynamics
(1)
contact mechanics
(1)
differentiable physics
(1)
multi-agent system
(1)
rigid body
(1)
Papers
Improving Gradient Computation for Differentiable Physics Simulation with Contacts
L4DC 2023
EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles
AAAI 2022
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models
NIPS 2021
Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data
L4DC 2021
Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control
NIPS 2020
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control
ICLR 2020