| Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control YD Zhong, B Dey, A Chakraborty 8th International Conference on Learning Representations, ICLR 2020, 2019 | 269 | 2019 |
| Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning YD Zhong, B Dey, A Chakraborty 8th International Conference on Learning Representations, ICLR 2020 …, 2020 | 72 | 2020 |
| Benchmarking energy-conserving neural networks for learning dynamics from data YD Zhong, B Dey, A Chakraborty Learning for dynamics and control, 1218-1229, 2021 | 49 | 2021 |
| Unsupervised learning of lagrangian dynamics from images for prediction and control YD Zhong, N Leonard Advances in Neural Information Processing Systems 33, 10741-10752, 2020 | 46 | 2020 |
| Extending lagrangian and hamiltonian neural networks with differentiable contact models YD Zhong, B Dey, A Chakraborty Advances in Neural Information Processing Systems 34, 21910-21922, 2021 | 36* | 2021 |
| On the linear threshold model for diffusion of innovations in multiplex social networks YD Zhong, V Srivastava, NE Leonard 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2593-2598, 2017 | 24 | 2017 |
| Multi-robot task allocation games in dynamically changing environments S Park, YD Zhong, NE Leonard 2021 IEEE International Conference on Robotics and Automation (ICRA), 8678-8684, 2021 | 21 | 2021 |
| A continuous threshold model of cascade dynamics YD Zhong, NE Leonard 2019 IEEE 58th Conference on Decision and Control (CDC), 1704-1709, 2019 | 20 | 2019 |
| Differentiable physics simulations with contacts: Do they have correct gradients wrt position, velocity and control? YD Zhong, J Han, GO Brikis arXiv preprint arXiv:2207.05060, 2022 | 17 | 2022 |
| EMVLight: A decentralized reinforcement learning framework for efficient passage of emergency vehicles H Su, YD Zhong, B Dey, A Chakraborty Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4593-4601, 2022 | 16 | 2022 |
| EMVLight: A multi-agent reinforcement learning framework for an emergency vehicle decentralized routing and traffic signal control system H Su, YD Zhong, JYJ Chow, B Dey, L Jin Transportation Research Part C: Emerging Technologies 146, 103955, 2023 | 14 | 2023 |
| Influence spread in the heterogeneous multiplex linear threshold model YD Zhong, V Srivastava, NE Leonard IEEE Transactions on Control of Network Systems 9 (3), 1080-1091, 2021 | 8 | 2021 |
| Symplectic ode-net: learning hamiltonian dynamics with control (2019) YD Zhong, B Dey, A Chakraborty arXiv preprint arXiv:1909.12077, 2019 | 8 | 2019 |
| Heterogeneous effects of battery storage deployment strategies on decarbonization of provincial power systems in China L Peng, DL Mauzerall, YD Zhong, G He Nature communications 14 (1), 4858, 2023 | 4 | 2023 |
| A neural ode interpretation of transformer layers YD Zhong, T Zhang, A Chakraborty, B Dey arXiv preprint arXiv:2212.06011, 2022 | 4 | 2022 |
| Improving gradient computation for differentiable physics simulation with contacts YD Zhong, J Han, B Dey, GO Brikis Learning for dynamics and control conference, 128-141, 2023 | 2 | 2023 |
| A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles H Su, YD Zhong, B Dey, A Chakraborty arXiv preprint arXiv:2111.00278, 2021 | 2 | 2021 |
| Schedule-resource Trade-off Modeling and Application based on 4D-BIM [J] J Lin, J Zhang, Y Zhong Journal of Information Technology in Civil Engineering and Architecture 6, 44-49, 2014 | 2 | 2014 |
| Keep Right to Keep" Right". Y Zhong, Y Zhang, X Zhao UMAP Journal 35, 2014 | 1 | 2014 |
| Physics informed neural network for learning non-Euclidean dynamics in electro-mechanical systems for synthesizing energy-based controllers B Dey, Y Zhong, A Chakraborty US Patent 11,922,134, 2024 | | 2024 |
Biswadip DeySenior Key Expert, Siemens TechnologyVerified email at siemens.com
