Spremljaj
Rongye Shi
Naslov
Navedeno
Navedeno
Leto
A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to ai-guided driving policy learning
X Di, R Shi
Transportation Research Part C: Emerging Technologies 125, 103008, 2021
2322021
A Physics-Informed Deep Learning Paradigm for Car-Following Models
Z Mo, R Shi, X Di
Transportation Research Part C: Emerging Technologies 130, 103240, 2021
1562021
A physics-informed deep learning paradigm for traffic state and fundamental diagram estimation
R Shi, Z Mo, K Huang, X Di, Q Du
IEEE Transactions on Intelligent Transportation Systems 23 (8), 11688-11698, 2022
1072022
Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models
R Shi, Z Mo, X Di
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 540-547, 2021
1022021
An LSTM-Based Autonomous Driving Model Using Waymo Open Dataset
Z Li, Z Gu, X Di, R Shi
Applied Sciences 10 (6), 2046, 2020
642020
TCACNet: Temporal and channel attention convolutional network for motor imagery classification of EEG-based BCI
X Liu, R Shi, Q Hui, S Xu, S Wang, R Na, Y Sun, W Ding, D Zheng, ...
Information Processing and Management 59 (5), 103001, 2022
482022
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks
R Ding, Z Liu, R Shi, D Marculescu, S Blanton
The 27th edition of the ACM Great Lakes Symposium on VLSI (GLSVLSI), 35-40, 2017
472017
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook
X Di, R Shi, Z Mo, Y Fu
Algorithms 16 (6), 305, 2023
322023
Using Naturalistic Driving Data to Predict Mild Cognitive Impairment and Dementia: Preliminary Findings from the Longitudinal Research on Aging Drivers (LongROAD) Study
X Di, R Shi, C DiGuiseppi, DW Eby, LL Hill, TJ Mielenz, LJ Molnar, ...
Geriatrics 6 (2), 45, 2021
212021
Location Selection for Air Quality Monitoring with Consideration of Limited Budget and Estimation Error
Z Yu, H Chang, Z Yu, B Guo, R Shi
IEEE Transactions on Mobile Computing 21 (11), 4025-4037, 2021
152021
SC-M*: A Multi-Agent Path Planning Algorithm with Soft-Collision Constraint on Allocation of Common Resources
R Shi, P Steenkiste, MM Veloso
Applied Sciences 9 (19), 4037, 2019
152019
Analysis of influence of RF power and buffer gas pressure on sensitivity of optically pumped cesium magnetometer
RY Shi, YH Wang
Chinese Physics B 22 (10), 100703, 2013
142013
On the design of phase locked loop oscillatory neural networks: mitigation of transmission delay effects
R Shi, TC Jackson, B Swenson, S Kar, L Pileggi
2016 International Joint Conference on Neural Networks (IJCNN), 2039-2046, 2016
132016
study on sensitivity-related parameters of distributed feedback laser-pumped cesium atomic magnetometer
Y Gu, RY Shi, YH Wang
Acta Phys. Sin. 63 (11), 110701, 2014
112014
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
X Yu, R Shi, P Feng, Y Tian, S Li, S Liao, W Wu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 17583 …, 2024
92024
Improving the On-Vehicle Experience of Passengers Through SC-M*: A Scalable Multi-Passenger Multi-Criteria Mobility Planner
R Shi, P Steenkiste, MM Veloso
IEEE Transactions on Intelligent Transportation Systems 22 (2), 1026-1040, 2021
92021
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
X Yu, R Shi, P Feng, Y Tian, J Luo, W Wu
The 26th European Conference on Artificial Intelligence (ECAI 2023) 372 …, 2023
82023
Implementing delay insensitive oscillatory neural networks using CMOS and emerging technology
TC Jackson, R Shi, AA Sharma, JA Bain, JA Weldon, L Pileggi
Analog Integrated Circuits and Signal Processing 89, 619-629, 2016
82016
Second-order destination inference using semi-supervised self-training for entry-only passenger data
R Shi, P Steenkiste, M Veloso
Proceedings of the Fourth IEEE/ACM International Conference on Big Data …, 2017
72017
An optically detected cesium beam frequency standard with magnetic state selection
C Liu, R Shi, Y Wang, S Liu, T Dong
2014 European Frequency and Time Forum (EFTF), 175-177, 2014
62014
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