Rongye Shi

44 papers A* 5A 5B 2C 1Journal 25Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Interference-Aware K-Step Reachable Communication in Multi-Agent Reinforcement Learning.
CoRR
Ziyu Cheng, Jinsheng Ren, Zhouxian Jiang, Chenzhihang Li, Rongye Shi, Bin Liang, Jun Yang
2025 A conf
CLGA: A Collaborative LLM Framework for Dynamic Goal Assignment in Multi-Robot Systems.
IROS
Xin Yu, Haoyuan Li, Yandong Wang, Simin Li, Rongye Shi, Gangzheng Ai, Zhiqiang Pu, Wenjun Wu
2025 J jnl
Lyapunov-Informed Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks.
IEEE Trans Autom. Sci. Eng.
Pu Feng, Rongye Shi, Size Wang, Qizhen Wu, Xin Yu, Wenjun Wu
2025 J jnl
MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems.
CoRR
Rui Ye, Keduan Huang, Qimin Wu, Yuzhu Cai, Tian Jin, Xianghe Pang, Xiangrui Liu, Jiaqi Su, Chen Qian, Bohan Tang, Kaiqu Liang, Jiaao Chen, Yue Hu, Zhenfei Yin, Rongye Shi, Bo An, Yang Gao, Wenjun Wu, Lei Bai, Siheng Chen
2025 B conf
Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding.
IJCNN
Pu Feng, Size Wang, Yuhong Cao, Junkang Liang, Rongye Shi, Wenjun Wu
2025 J jnl
Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding.
CoRR
Pu Feng, Size Wang, Yuhong Cao, Junkang Liang, Rongye Shi, Wenjun Wu
2025 A* conf
OmniArch: Building Foundation Model for Scientific Computing.
ICML
Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Chonghan Gao, Rongye Shi, Shanghang Zhang, Jianxin Li
2025 — conf
SIGMA: A Dual-Agent Reinforcement Learning-OptimizedFramework for Graph Classification.
DAI
Xinbang Cheng, Haodong Qian, Yisen Gao, Xingcheng Fu, Rongye Shi
2025 J jnl
Symmetry-Informed MARL: A Decentralized and Cooperative UAV Swarm Control Approach for Communication Coverage.
IEEE Trans. Mob. Comput.
Rongye Shi, Xin Yu, Yandong Wang, Yongkai Tian, Zhenyu Liu, Wenjun Wu, Xiao-Ping Zhang, Manuela M. Veloso
2025 J jnl
TALKER: A Task-Activated Language Model Based Knowledge-Extension Reasoning System.
IEEE Robotics Autom. Lett.
Jiabin Lou, Rongye Shi, Yuxin Lin, Qunbo Wang, Wenjun Wu
2024 A* conf
AdaptAUG: Adaptive Data Augmentation Framework for Multi-Agent Reinforcement Learning.
ICRA
Xin Yu, Yongkai Tian, Li Wang, Pu Feng, Wenjun Wu, Rongye Shi
2024 J jnl
ELAKT: Enhancing Locality for Attentive Knowledge Tracing.
ACM Trans. Inf. Syst.
Yanjun Pu, Fang Liu, Rongye Shi, Haitao Yuan, Ruibo Chen, Tianhao Peng, Wenjun Wu
2024 J jnl
Energy Harvest of Multiple Smart Sensors With Real-Time Fault-Detection.
IEEE Trans Autom. Sci. Eng.
Chen Hou, Rongye Shi, Qilong Huang, Yifang Wang
2024 A conf
Exploiting Hierarchical Symmetry in Multi-Agent Reinforcement Learning.
ECAI
Yongkai Tian, Xin Yu, Yirong Qi, Li Wang, Pu Feng, Wenjun Wu, Rongye Shi, Jie Luo
2024 A conf
Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks.
IROS
Pu Feng, Junkang Liang, Size Wang, Xin Yu, Xin Ji, Yiting Chen, Kui Zhang, Rongye Shi, Wenjun Wu
2024 J jnl
Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks.
CoRR
Pu Feng, Junkang Liang, Size Wang, Xin Yu, Rongye Shi, Wenjun Wu
2024 A* conf
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning.
AAAI
Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Simin Li, Shuhao Liao, Wenjun Wu
2024 J jnl
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning.
CoRR
Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Simin Li, Shuhao Liao, Wenjun Wu
2024 J jnl
Safe and Efficient Multi-Agent Collision Avoidance With Physics-Informed Reinforcement Learning.
IEEE Robotics Autom. Lett.
Pu Feng, Rongye Shi, Size Wang, Junkang Liang, Xin Yu, Simin Li, Wenjun Wu
2024 — conf
Synaptic Weight Optimization for Oscillatory Neural Networks: A Multi-Agent RL Approach.
ICA
Shuhao Liao, Xuehong Liu, Wenjun Wu, Rongye Shi, Junyu Zhang, Haopeng Wang
2023 A conf
Air-M: A Visual Reality Many-Agent Reinforcement Learning Platform for Large-Scale Aerial Unmanned System.
IROS
Jiabin Lou, Wenjun Wu, Shuhao Liao, Rongye Shi
2023 A conf
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning.
ECAI
Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Jie Luo, Wenjun Wu
2023 J jnl
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning.
CoRR
Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Jie Luo, Wenjun Wu
2023 J jnl
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook.
CoRR
Xuan Di, Rongye Shi, Zhaobin Mo, Yongjie Fu
2023 J jnl
Physics-Informed Deep Learning for Traffic State Estimation: A Survey and the Outlook.
Algorithms
Xuan Di, Rongye Shi, Zhaobin Mo, Yongjie Fu
2023 J jnl
Robust Data Sampling in Machine Learning: A Game-Theoretic Framework for Training and Validation Data Selection.
Games
Zhaobin Mo, Xuan Di, Rongye Shi
2022 J jnl
A Physics-Informed Deep Learning Paradigm for Traffic State and Fundamental Diagram Estimation.
IEEE Trans. Intell. Transp. Syst.
Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du
2022 J jnl
Location Selection for Air Quality Monitoring With Consideration of Limited Budget and Estimation Error.
IEEE Trans. Mob. Comput.
Zhiyong Yu, Huijuan Chang, Zhiwen Yu, Bin Guo, Rongye Shi
2022 A* conf
ST-ICM: spatial-temporal inference calibration model for low cost fine-grained mobile sensing.
MobiCom
Chengzhao Yu, Ji Luo, Rongye Shi, Xinyu Liu, Fan Dang, Xinlei Chen
2022 J jnl
TCACNet: Temporal and channel attention convolutional network for motor imagery classification of EEG-based BCI.
Inf. Process. Manag.
Xiaolin Liu, Rongye Shi, Qianxin Hui, Susu Xu, Shuai Wang, Rui Na, Ying Sun, Wenbo Ding, Dezhi Zheng, Xinlei Chen
2021 J jnl
A Physics-Informed Deep Learning Paradigm for Traffic State Estimation and Fundamental Diagram Discovery.
CoRR
Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du
2021 J jnl
Improving the On-Vehicle Experience of Passengers Through SC-M*: A Scalable Multi-Passenger Multi-Criteria Mobility Planner.
IEEE Trans. Intell. Transp. Syst.
Rongye Shi, Peter Steenkiste, Manuela M. Veloso
2021 — conf
OBELISC: Oscillator-Based Modelling and Control Using Efficient Neural Learning for Intelligent Road Traffic Signal Calculation.
ECML/PKDD (4)
Cristian Axenie, Rongye Shi, Daniele Foroni, Alexander Wieder, Mohamad Al Hajj Hassan, Paolo Sottovia, Margherita Grossi, Stefano Bortoli, Götz Brasche
2021 J jnl
Physics-Informed Deep Learning for Traffic State Estimation.
CoRR
Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du
2021 A* conf
Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models.
AAAI
Rongye Shi, Zhaobin Mo, Xuan Di
2021 — conf
TRAMESINO: Traffic Memory System for Intelligent Optimization of Road Traffic Control.
AALTD@ECML/PKDD
Cristian Axenie, Rongye Shi, Daniele Foroni, Alexander Wieder, Mohamad Al Hajj Hassan, Paolo Sottovia, Margherita Grossi, Stefano Bortoli, Götz Brasche
2020 J jnl
A Physics-Informed Deep Learning Paradigm for Car-Following Models.
CoRR
Zhaobin Mo, Xuan Di, Rongye Shi
2020 J jnl
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning.
CoRR
Xuan Di, Rongye Shi
2020 J jnl
An LSTM-Based Autonomous Driving Model Using Waymo Open Dataset.
CoRR
Zhicheng Li, Zhihao Gu, Xuan Di, Rongye Shi
2018 — conf
Generating Synthetic Passenger Data through Joint Traffic-Passenger Modeling and Simulation.
ITSC
Rongye Shi, Peter Steenkiste, Manuela Veloso
2018 J jnl
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks.
CoRR
Ruizhou Ding, Zeye Liu, Rongye Shi, Diana Marculescu, R. D. (Shawn) Blanton
2017 — conf
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks.
ACM Great Lakes Symposium on VLSI
Ruizhou Ding, Zeye Liu, Rongye Shi, Diana Marculescu, R. D. (Shawn) Blanton
2017 C conf
Second-Order Destination Inference using Semi-Supervised Self-Training for Entry-Only Passenger Data.
BDCAT
Rongye Shi, Peter Steenkiste, Manuela M. Veloso
2016 B conf
On the design of phase locked loop oscillatory neural networks: Mitigation of transmission delay effects.
IJCNN
Rongye Shi, Thomas C. Jackson, Brian Swenson, Soummya Kar, Lawrence T. Pileggi