Chi-Jie Lu

About

Dr. Chi-Jie Lu is a pioneering researcher at the intersection of artificial intelligence, financial forecasting, and human-robot interaction. His foundational work in computational finance is exemplified by his highly cited 2011 study, "An efficient CMAC neural network for stock index forecasting" (42 citations), which introduced a novel Cerebellar Model Articulation Controller (CMAC) architecture that dramatically improved the accuracy and efficiency of financial time series predictions. This contribution established Lu as a key innovator in applying neural networks to volatile market analysis. More recently, Lu has ventured into the cutting-edge domain of embodied AI, as demonstrated by his 2024 survey and framework paper (12 citations) that proposes an emotional logic engine powered by large language models (LLMs). This work aims to revolutionize human-robot interaction by enabling machines to achieve high-level cognition, emotional connection, and personalized reasoning—a significant leap toward truly autonomous social robots. With additional contributions in financial time series forecasting (2010), Lu’s research portfolio bridges classical computational finance with next-generation AI, making him a vital figure for students and researchers exploring the future of intelligent systems.

Research Focus

Key Achievements

Top Papers

1. 1
   An efficient CMAC neural network for stock index forecasting

   42 citations · 2011
2. 2
   Embodied AI with Large Language Models: A Survey and New HRI Framework

   12 citations · 2024
3. 3
   Forecasting Financial Time Series via an Efficient CMAC Neural Network

   4 citations · 2010

Key Collaborators

Contact & Links