Li, Wanxin

BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction

Meese, C., Chen, H., Asif, S. A., Li, W., Shen, C.-C., & Nejad, M. (2022) · 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)

Traffic Prediction and Management TechniquesPrivacy-Preserving Technologies in Data

Cited by 41

B 2 SFL: A Bi-Level Blockchained Architecture for Secure Federated Learning-Based Traffic Prediction

Guo, H., Meese, C., Li, W., Shen, C.-C., & Nejad, M. (2023) · IEEE Transactions on Services Computing

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 26

Pricing Mechanism of Non-fungible Token (NFT) Driven by Rarity Design

Xiong, W., Wang, Y., Li, W., Zhang, J., & Guo, H. (2023) · 2023 IEEE International Conference on Blockchain (Blockchain)

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 6

KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques

Yang, R., Liu, H., Marrese-Taylor, E., Zeng, Q., Ke, Y. H., Li, W., Cheng, L., Chen, Q., Caverlee, J., Matsuo, Y., et al. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 5

Beyond Liability: Decentralized Forensics for Autonomous Vehicle Events via a Redactable Blockchain Approach

Guo, H., Li, W., Meese, C., Wang, Y., & Nejad, M. (2025) · IEEE Transactions on Network and Service Management

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 0