Lei Li

As a dedicated researcher at Carnegie Mellon University, Lei Li has developed a specialized expertise in Natural Language Processing, Topic Modeling, Multimodal Machine Learning, Abstractive Summarization, Factual Consistency, Deep Learning, Computational Linguistics, Knowledge Injection. A representative example of their recent contribution is the study titled "<i>ShieldTSE</i>: A Privacy-Enhanced Split Federated Learning Framework for Traffic State Estimation in IoV", which offers critical insights into the dynamics of Natural Language Processing and Topic Modeling. Additional work such as "Compact non-volatile ferroelectric electrostatic doping optical memory based on the epsilon-near-zero effect" further demonstrates their commitment to advancing knowledge in this domain.