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Kaidi Yang
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2020 – today
- 2024
- [j6]Alexander Genser
, Michail A. Makridis
Time-to-Green Predictions for Fully-Actuated Signal Control Systems With Supervised Learning. IEEE Trans. Intell. Transp. Syst. 25(7): 7417-7430 (2024) - [i17]Jingyuan Zhou, Longhao Yan, Kaidi Yang:
Enhancing System-Level Safety in Mixed-Autonomy Platoon via Safe Reinforcement Learning. CoRR abs/2401.11148 (2024) - [i16]Qiqing Wang, Kaidi Yang:
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach. CoRR abs/2401.11836 (2024) - [i15]Longhao Yan, Jingyuan Zhou, Kaidi Yang:
Control-Aware Trajectory Predictions for Communication-Efficient Drone Swarm Coordination in Cluttered Environments. CoRR abs/2401.12852 (2024) - [i14]Jingyuan Zhou, Kaidi Yang:
A Parameter Privacy-Preserving Strategy for Mixed-Autonomy Platoon Control. CoRR abs/2401.15561 (2024) - [i13]Ke Lu, Dongjun Li, Qun Wang, Kaidi Yang, Lin Zhao, Ziyou Song:
Safe Reinforcement Learning-Based Eco-Driving Control for Mixed Traffic Flows With Disturbances. CoRR abs/2401.17837 (2024) - [i12]Longhao Yan, Jinhao Liang, Kaidi Yang:
Bi-Level Control of Weaving Sections in Mixed Traffic Environments with Connected and Automated Vehicles. CoRR abs/2403.16225 (2024) - [i11]Jinhao Liang, Kaidi Yang, Chaopeng Tan, Jinxiang Wang, Guodong Yin:
Enhancing High-Speed Cruising Performance of Autonomous Vehicles through Integrated Deep Reinforcement Learning Framework. CoRR abs/2404.14713 (2024) - [i10]Jinhao Liang, Chaopeng Tan, Longhao Yan, Jingyuan Zhou, Guodong Yin, Kaidi Yang:
Interaction-Aware Trajectory Prediction for Safe Motion Planning in Autonomous Driving: A Transformer-Transfer Learning Approach. CoRR abs/2411.01475 (2024) - 2023
- [j5]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:
Big Data Analytic Toolkit: A general-purpose, modular, and heterogeneous acceleration toolkit for data analytical engines. Proc. VLDB Endow. 16(12): 3702-3714 (2023) - [j4]Zhiyun Deng
Cooperative Platoon Formation of Connected and Autonomous Vehicles: Toward Efficient Merging Coordination at Unsignalized Intersections. IEEE Trans. Intell. Transp. Syst. 24(5): 5625-5639 (2023) - [c9]Matthew Tsao, Karthik Gopalakrishnan, Kaidi Yang, Marco Pavone:
Differentially Private Stochastic Convex Optimization for Network Routing Applications. CDC 2023: 7475-7482 - [c8]Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira:
Graph Reinforcement Learning for Network Control via Bi-Level Optimization. ICML 2023: 10587-10610 - [c7]Jingyuan Zhou, Longhao Yan, Kaidi Yang:
Safe Reinforcement Learning for Mixed-Autonomy Platoon Control. ITSC 2023: 5744-5749 - [i9]Chaopeng Tan, Kaidi Yang:
Privacy-Preserving Adaptive Traffic Signal Control in a Connected Vehicle Environment. CoRR abs/2305.07212 (2023) - [i8]Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira:
Graph Reinforcement Learning for Network Control via Bi-Level Optimization. CoRR abs/2305.09129 (2023) - 2022
- [j3]Matthew Tsao
Trust but Verify: Cryptographic Data Privacy for Mobility Management. IEEE Trans. Control. Netw. Syst. 9(1): 50-61 (2022) - [c6]Matthew Tsao, Kaidi Yang
Private Location Sharing for Decentralized Routing Services. ITSC 2022: 2479-2486 - [c5]Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone:
Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. KDD 2022: 2913-2923 - [i7]Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone:
Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. CoRR abs/2202.07147 (2022) - [i6]Matthew Tsao, Kaidi Yang, Karthik Gopalakrishnan, Marco Pavone:
Private and Decentralized Location Sharing for Congestion-Aware Routing. CoRR abs/2202.13305 (2022) - [i5]Alexander Genser, Michail A. Makridis, Kaidi Yang, Lukas Ambühl, Mónica Menéndez, Anastasios Kouvelas:
Time-to-Green predictions for fully-actuated signal control systems with supervised learning. CoRR abs/2208.11344 (2022) - [i4]Matthew Tsao, Karthik Gopalakrishnan, Kaidi Yang, Marco Pavone:
Differentially Private Stochastic Convex Optimization for Network Routing Applications. CoRR abs/2210.14489 (2022) - 2021
- [c4]Daniele Gammelli, Kaidi Yang
Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems. CDC 2021: 2996-3003 - [c3]Kaidi Yang
Real-Time Control of Mixed Fleets in Mobility-on-Demand Systems. ITSC 2021: 3570-3577 - [i3]Matthew Tsao, Kaidi Yang, Stephen Zoepf, Marco Pavone:
Trust but Verify: Cryptographic Data Privacy for Mobility Management. CoRR abs/2104.07768 (2021) - [i2]Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone:
Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems. CoRR abs/2104.11434 (2021) - 2020
- [c2]Alexander Genser, Lukas Ambühl, Kaidi Yang
Time-to-Green predictions: A framework to enhance SPaT messages using machine learning. ITSC 2020: 1-6 - [i1]Kaidi Yang, Matthew W. Tsao, Xin Xu, Marco Pavone:
Planning and Operations of Mixed Fleets in Mobility-on-Demand Systems. CoRR abs/2008.08131 (2020)
2010 – 2019
- 2019
- [j2]Kaidi Yang
Queue Estimation in a Connected Vehicle Environment: A Convex Approach. IEEE Trans. Intell. Transp. Syst. 20(7): 2480-2496 (2019) - 2017
- [j1]Jiyuan Tan, Xiangyun Shi, Zhiheng Li, Kaidi Yang
Continuous and Discrete-Time Optimal Controls for an Isolated Signalized Intersection. J. Sensors 2017: 6290248:1-6290248:11 (2017) - 2015
- [c1]Kaidi Yang
A Transit Signal Priority Algorithm under Connected Vehicle Environment. ITSC 2015: 66-70
Coauthor Index
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last updated on 2024-12-12 21:01 CET by the dblp team
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