Tianqi Wang

Deep Learning for Wireless Physical Layer: Opportunities and Challenges

2017 · arXiv (Cornell University)

Machine learning (ML) has been widely applied to the upper layers of wireless communication systems for various purposes, such as deployment of cognitive radio and communication network. However, its application to the physical layer is …

Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning

2024 · arXiv (Cornell University)

Class-incremental learning (CIL) aims to train a model to learn new classes from non-stationary data streams without forgetting old ones. In this paper, we propose a new kind of connectionist model by tailoring neural unit …