Faculty working in this area
| Faculty | website | |
|---|---|---|
| Patrick H. Chen | patrickchen@binghamton.edu | |
| Kenneth Chiu | kchiu@binghamton.edu | |
| Shiqi Zhang | zhangs@binghamton.edu | |
| Zhongfei (Mark) Zhang | zzhang@binghamton.edu |
Highlights in this area
focuses on the fundamental, uncertainty and efficiency aspects of machine learning.
To make models reliably applicable, his research group studies the fundamental aspects
of ML, such as factualness and robustness, and analyzes uncertainty issues in various
applications, such as continual learning. To make models more efficient for practical
usage, his research focuses on compressing machine learning models to make them deployable
on devices with limited memory, and accelerating the training and inference time of
machine learning models to meet latency requirements.
researches robotics, artificial intelligence (AI) and human-robot interaction (HRI). He leads the Autonomous Intelligent Robotics (AIR) research group, whose goal is to develop intelligent mobile robots that are able to interact with people, provide services to people, and learn from this experience, in human-inhabited, collaborative environments.
researches machine learning and artificial intelligence, data mining and knowledge discovery, multimedia indexing and retrieval, computer vision and image understanding, and pattern recognition. Accordingly, he is currently working on several projects in these areas including LLM compression, multimodal data learning, out of domain learning, learning with noise and novelty learning.