Artificial Intelligence

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TULIP Lab specializes in artificial intelligence research such as Bayesian learning models, anomaly detection, topological data analysis, etc.

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Trusted AI Techniques

Bayesian Learning Models
Bayesian Learning Models

We are interested in augmenting the learning models such as deep neural network with the capability of Bayesian models, so that the model intepretability, the trusted worthiness, and the performance can be further improved.

Anomaly Detection
Anomaly Detection

Develop and propose novel AI methods that can accurately identify the anomaly in the data, in the temporal sequence, or in the group behavior.

Topological Data Analysis
Topological Data Analysis

Novel methods originated from topology to complement the feature engineering of deep learning models, so that topological characteristics of data can be properly captured.

Life-Long Learning
Life-Long Learning

Develop and propose methos to enable learning models to sequentially learn multiple tasks and alleviate the `catastrophic forgetting' phenomenon.