Collin Meese

20 papers B 2Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Beyond Liability: Decentralized Forensics for Autonomous Vehicle Events via a Redactable Blockchain Approach.
IEEE Trans. Netw. Serv. Manag.
Hao Guo, Wanxin Li, Collin Meese, Yetong Wang, Mark M. Nejad
2025 — conf
Deep Learning Hybrid Model for Equitable Data Representation: Physics Model Incorporating Ramp Traffic Dynamics & Data-Driven Enhancements.
MOST
Danielle Lee, Collin Meese, Kurt Hammen, Mark M. Nejad
2025 J jnl
Network-State-Intelligent Learning Rate Optimization for Federated Streaming Models in Smart Transportation.
IEEE Trans. Intell. Transp. Syst.
Collin Meese, Danielle Lee, Mark M. Nejad
2025 — conf
T-GANRE: Advanced Deep Learning Models for Synthetic Data Generation for Nonrecurrent Events.
MOST
Collin Meese, Danielle Lee, Kurt Hammen, Mark M. Nejad
2024 J jnl
Adaptive Traffic Prediction at the ITS Edge With Online Models and Blockchain-Based Federated Learning.
IEEE Trans. Intell. Transp. Syst.
Collin Meese, Hang Chen, Wanxin Li, Danielle Lee, Hao Guo, Chien-Chung Shen, Mark M. Nejad
2024 B conf
Decentralized Electronic Health Records Management via Redactable Blockchain and Revocable IPFS.
CHASE
Hao Guo, Wanxin Li, Collin Meese, Mark M. Nejad
2024 J jnl
Individualized Federated Learning for Traffic Prediction with Error Driven Aggregation.
CoRR
Hang Chen, Collin Meese, Mark M. Nejad, Chien-Chung Shen
2023 J jnl
Aggregated Zero-Knowledge Proof and Blockchain-Empowered Authentication for Autonomous Truck Platooning.
IEEE Trans. Intell. Transp. Syst.
Wanxin Li, Collin Meese, Hao Guo, Mark M. Nejad
2023 J jnl
Aggregated Zero-knowledge Proof and Blockchain-Empowered Authentication for Autonomous Truck Platooning.
CoRR
Wanxin Li, Collin Meese, Hao Guo, Mark M. Nejad
2023 J jnl
B
IEEE Trans. Serv. Comput.
Hao Guo, Collin Meese, Wanxin Li, Chien-Chung Shen, Mark M. Nejad
2023 J jnl
BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction.
CoRR
Collin Meese, Hang Chen, Syed Ali Asif, Wanxin Li, Chien-Chung Shen, Mark M. Nejad
2023 J jnl
B^2SFL: A Bi-level Blockchained Architecture for Secure Federated Learning-based Traffic Prediction.
CoRR
Hao Guo, Collin Meese, Wanxin Li, Chien-Chung Shen, Mark M. Nejad
2023 J jnl
Location-aware Verification for Autonomous Truck Platooning Based on Blockchain and Zero-knowledge Proof.
CoRR
Wanxin Li, Collin Meese, Zijia Zhong, Hao Guo, Mark M. Nejad
2023 J jnl
P-CFT: A Privacy-preserving and Crash Fault Tolerant Consensus Algorithm for Permissioned Blockchains.
CoRR
Wanxin Li, Collin Meese, Mark M. Nejad, Hao Guo
2023 J jnl
Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities.
CoRR
Maryam Shaygan, Collin Meese, Wanxin Li, Xiaolong Zhao, Mark M. Nejad
2023 — conf
ZK-BFT: A Zero-knowledge and Byzantine Fault Tolerant Consensus for Permissioned Blockchain Networks.
ICBTA
Wanxin Li, Collin Meese, Mark M. Nejad, Hao Guo
2023 — conf
vLOFT: Variable Learning Rate for Online Federated Traffic Prediction.
ITSC
Collin Meese, Danielle Lee, Hang Chen, Mark M. Nejad
2022 B conf
BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction.
CCGRID
Collin Meese, Hang Chen, Syed Ali Asif, Wanxin Li, Chien-Chung Shen, Mark M. Nejad
2021 — conf
Location-aware Verification for Autonomous Truck Platooning Based on Blockchain and Zero-knowledge Proof.
IEEE ICBC
Wanxin Li, Collin Meese, Zijia Gary Zhong, Hao Guo, Mark M. Nejad
2020 J jnl
Blockchain-enabled Identity Verification for Safe Ridesharing Leveraging Zero-Knowledge Proof.
CoRR
Wanxin Li, Collin Meese, Hao Guo, Mark M. Nejad