Funded Projects

Songtao Lu, IBM-PI, "Theoretical and algorithmic foundations of in-context learning using properly trained transformer models," RPI-IBM AI Research Collaboration Program, 2023-2024.

Songtao Lu, IBM-PI, "Large-scale foundation acoustic modeling for automatic speech recognition," RPI-IBM AI Research Collaboration Program, 2022-2024.

Songtao Lu, IBM-PI, "Provably efficient reinforcement learning via neuro-symbolic representations," RPI-IBM AI Research Collaboration Program, 2022-2023.

Songtao Lu, IBM-PI, "Adaptive, collaborative, and accelerated optimization for machine learning," MIT-IBM Watson AI Lab, 2022-2023.

Songtao Lu, IBM-PI, "Accelerated and compressed distributed stochastic optimization for deep learning," RPI-IBM AI Research Collaboration Program, 2021-2022.

Songtao Lu, IBM-PI, "Provably efficient reinforcement learning via neuro-symbolic representations," RPI-IBM AI Research Collaboration Program, 2021-2022.

Songtao Lu, Industry Researcher (Key Personnel), NSF AI Institute for Future Edge Networks and Distributed Intelligence. [link] 

Songtao Lu,  IBM-PI, "Large-scale distributed optimization for deep learning and reinforcement learning," RPI-IBM AI Research Collaboration (AIRC) Program: Foundational advances in AI algorithms, 2020 - 2022.