Rongye Shi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 30

Top Topics

Neural Learning

State Estimation

Top Venues

IEEE Trans. Intell. Transp. Syst.

Inf. Process. Manag.

Publications

Chen Hou, Rongye Shi, Qilong Huang, Yifang Wang
Energy Harvest of Multiple Smart Sensors With Real-Time Fault-Detection. IEEE Trans Autom. Sci. Eng. 21 (2) (2024)
Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Simin Li, Shuhao Liao, Wenjun Wu
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning. CoRR (2024)
Yanjun Pu, Fang Liu, Rongye Shi, Haitao Yuan, Ruibo Chen, Tianhao Peng, Wenjun Wu
ELAKT: Enhancing Locality for Attentive Knowledge Tracing. ACM Trans. Inf. Syst. 42 (4) (2024)
Xin Yu, Yongkai Tian, Li Wang, Pu Feng, Wenjun Wu, Rongye Shi
AdaptAUG: Adaptive Data Augmentation Framework for Multi-Agent Reinforcement Learning. ICRA (2024)
Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Simin Li, Shuhao Liao, Wenjun Wu
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning. AAAI (2024)
Pu Feng, Junkang Liang, Size Wang, Xin Yu, Rongye Shi, Wenjun Wu
Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks. CoRR (2024)
Zhaobin Mo, Xuan Di, Rongye Shi
Robust Data Sampling in Machine Learning: A Game-Theoretic Framework for Training and Validation Data Selection. Games 14 (1) (2023)
Jiabin Lou, Wenjun Wu, Shuhao Liao, Rongye Shi
Air-M: A Visual Reality Many-Agent Reinforcement Learning Platform for Large-Scale Aerial Unmanned System. IROS (2023)
Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Jie Luo, Wenjun Wu
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning. CoRR (2023)
Xuan Di, Rongye Shi, Zhaobin Mo, Yongjie Fu
Physics-Informed Deep Learning for Traffic State Estimation: A Survey and the Outlook. Algorithms 16 (6) (2023)
Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Jie Luo, Wenjun Wu
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning. ECAI (2023)
Xuan Di, Rongye Shi, Zhaobin Mo, Yongjie Fu
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook. CoRR (2023)
Chengzhao Yu, Ji Luo, Rongye Shi, Xinyu Liu, Fan Dang, Xinlei Chen
ST-ICM: spatial-temporal inference calibration model for low cost fine-grained mobile sensing. MobiCom (2022)
Xiaolin Liu, Rongye Shi, Qianxin Hui, Susu Xu, Shuai Wang, Rui Na, Ying Sun, Wenbo Ding, Dezhi Zheng, Xinlei Chen
TCACNet: Temporal and channel attention convolutional network for motor imagery classification of EEG-based BCI. Inf. Process. Manag. 59 (5) (2022)
Zhiyong Yu, Huijuan Chang, Zhiwen Yu, Bin Guo, Rongye Shi
Location Selection for Air Quality Monitoring With Consideration of Limited Budget and Estimation Error. IEEE Trans. Mob. Comput. 21 (11) (2022)
Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du
A Physics-Informed Deep Learning Paradigm for Traffic State and Fundamental Diagram Estimation. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du
A Physics-Informed Deep Learning Paradigm for Traffic State Estimation and Fundamental Diagram Discovery. CoRR (2021)
Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du
Physics-Informed Deep Learning for Traffic State Estimation. CoRR (2021)
Rongye Shi, Zhaobin Mo, Xuan Di
Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models. AAAI (2021)
Rongye Shi, Peter Steenkiste, Manuela M. Veloso
Improving the On-Vehicle Experience of Passengers Through SC-M*: A Scalable Multi-Passenger Multi-Criteria Mobility Planner. IEEE Trans. Intell. Transp. Syst. 22 (2) (2021)
Cristian Axenie, Rongye Shi, Daniele Foroni, Alexander Wieder, Mohamad Al Hajj Hassan, Paolo Sottovia, Margherita Grossi, Stefano Bortoli, Götz Brasche
TRAMESINO: Traffic Memory System for Intelligent Optimization of Road Traffic Control. AALTD@ECML/PKDD (2021)
Cristian Axenie, Rongye Shi, Daniele Foroni, Alexander Wieder, Mohamad Al Hajj Hassan, Paolo Sottovia, Margherita Grossi, Stefano Bortoli, Götz Brasche
OBELISC: Oscillator-Based Modelling and Control Using Efficient Neural Learning for Intelligent Road Traffic Signal Calculation. ECML/PKDD (4) (2021)
Zhaobin Mo, Xuan Di, Rongye Shi
A Physics-Informed Deep Learning Paradigm for Car-Following Models. CoRR (2020)
Zhicheng Li, Zhihao Gu, Xuan Di, Rongye Shi
An LSTM-Based Autonomous Driving Model Using Waymo Open Dataset. CoRR (2020)
Xuan Di, Rongye Shi
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning. CoRR (2020)
Ruizhou Ding, Zeye Liu, Rongye Shi, Diana Marculescu, R. D. (Shawn) Blanton
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks. CoRR (2018)
Rongye Shi, Peter Steenkiste, Manuela Veloso
Generating Synthetic Passenger Data through Joint Traffic-Passenger Modeling and Simulation. ITSC (2018)
Rongye Shi, Peter Steenkiste, Manuela M. Veloso
Second-Order Destination Inference using Semi-Supervised Self-Training for Entry-Only Passenger Data. BDCAT (2017)
Ruizhou Ding, Zeye Liu, Rongye Shi, Diana Marculescu, R. D. (Shawn) Blanton
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks. ACM Great Lakes Symposium on VLSI (2017)
Rongye Shi, Thomas C. Jackson, Brian Swenson, Soummya Kar, Lawrence T. Pileggi
On the design of phase locked loop oscillatory neural networks: Mitigation of transmission delay effects. IJCNN (2016)