Kaidi Yang

According to our database, Kaidi Yang authored at least 26 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Time-to-Green Predictions for Fully-Actuated Signal Control Systems With Supervised Learning.

Alexander Genser, Michail A. Makridis, Kaidi Yang, Lukas Ambühl, Mónica Menéndez, Anastasios Kouvelas

IEEE Trans. Intell. Transp. Syst., July, 2024

Interaction-Aware Trajectory Prediction for Safe Motion Planning in Autonomous Driving: A Transformer-Transfer Learning Approach.

Jinhao Liang, Chaopeng Tan, Longhao Yan, Jingyuan Zhou, Guodong Yin, Kaidi Yang

CoRR, 2024

Enhancing High-Speed Cruising Performance of Autonomous Vehicles through Integrated Deep Reinforcement Learning Framework.

Jinhao Liang, Kaidi Yang, Chaopeng Tan, Jinxiang Wang, Guodong Yin

CoRR, 2024

Bi-Level Control of Weaving Sections in Mixed Traffic Environments with Connected and Automated Vehicles.

Longhao Yan, Jinhao Liang, Kaidi Yang

CoRR, 2024

Safe Reinforcement Learning-Based Eco-Driving Control for Mixed Traffic Flows With Disturbances.

Ke Lu, Dongjun Li, Qun Wang, Kaidi Yang, Lin Zhao, Ziyou Song

CoRR, 2024

A Parameter Privacy-Preserving Strategy for Mixed-Autonomy Platoon Control.

Jingyuan Zhou, Kaidi Yang

CoRR, 2024

Control-Aware Trajectory Predictions for Communication-Efficient Drone Swarm Coordination in Cluttered Environments.

Longhao Yan, Jingyuan Zhou, Kaidi Yang

CoRR, 2024

Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach.

Qiqing Wang, Kaidi Yang

CoRR, 2024

Enhancing System-Level Safety in Mixed-Autonomy Platoon via Safe Reinforcement Learning.

Jingyuan Zhou, Longhao Yan, Kaidi Yang

CoRR, 2024

2023

Cooperative Platoon Formation of Connected and Autonomous Vehicles: Toward Efficient Merging Coordination at Unsignalized Intersections.

Zhiyun Deng, Kaidi Yang, Weiming Shen, Yanjun Shi

IEEE Trans. Intell. Transp. Syst., May, 2023

Big Data Analytic Toolkit: A general-purpose, modular, and heterogeneous acceleration toolkit for data analytical engines.

Jiang Li, Qi Xie, Yan Ma, Jian Ma, Kunshang Ji, Yizhong Zhang, Chaojun Zhang, Yixiu Chen, Gangsheng Wu, Jie Zhang, Kaidi Yang, Xinyi He, Qiuyang Shen, Yanting Tao, Haiwei Zhao, Penghui Jiao, Chengfei Zhu, David Qian, Cheng Xu

Proc. VLDB Endow., 2023

Privacy-Preserving Adaptive Traffic Signal Control in a Connected Vehicle Environment.

Chaopeng Tan, Kaidi Yang

CoRR, 2023

Safe Reinforcement Learning for Mixed-Autonomy Platoon Control.

Jingyuan Zhou, Longhao Yan, Kaidi Yang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Graph Reinforcement Learning for Network Control via Bi-Level Optimization.

Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira

Proceedings of the International Conference on Machine Learning, 2023

Differentially Private Stochastic Convex Optimization for Network Routing Applications.

Matthew Tsao, Karthik Gopalakrishnan, Kaidi Yang, Marco Pavone

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Trust but Verify: Cryptographic Data Privacy for Mobility Management.

Matthew Tsao, Kaidi Yang, Stephen Zoepf, Marco Pavone

IEEE Trans. Control. Netw. Syst., 2022

Private and Decentralized Location Sharing for Congestion-Aware Routing.

Matthew Tsao, Kaidi Yang, Karthik Gopalakrishnan, Marco Pavone

CoRR, 2022

Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand.

Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Private Location Sharing for Decentralized Routing Services.

Matthew Tsao, Kaidi Yang, Karthik Gopalakrishnan, Marco Pavone

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Real-Time Control of Mixed Fleets in Mobility-on-Demand Systems.

Kaidi Yang, Matthew W. Tsao, Xin Xu, Marco Pavone

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems.

Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Planning and Operations of Mixed Fleets in Mobility-on-Demand Systems.

Kaidi Yang, Matthew W. Tsao, Xin Xu, Marco Pavone

CoRR, 2020

Time-to-Green predictions: A framework to enhance SPaT messages using machine learning.

Alexander Genser, Lukas Ambühl, Kaidi Yang, Mónica Menéndez, Anastasios Kouvelas

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

Queue Estimation in a Connected Vehicle Environment: A Convex Approach.

Kaidi Yang, Mónica Menéndez

IEEE Trans. Intell. Transp. Syst., 2019

2017

Continuous and Discrete-Time Optimal Controls for an Isolated Signalized Intersection.

Jiyuan Tan, Xiangyun Shi, Zhiheng Li, Kaidi Yang, Na Xie, Haiyang Yu, Li Wang, Zhengxi Li

J. Sensors, 2017

2015

A Transit Signal Priority Algorithm under Connected Vehicle Environment.

Kaidi Yang, S. Ilgin Guler, Mónica Menéndez

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015