Currently I have two major interests. First, adversarial attack and defense of deep learning models. We are trying to craft adversarial examples in both the digital world and physical world. In this way, we expose the vulnerability and risk of deep learning models. We're also looking for ways to get more robust deep learning models.
Second, brain-inspired computational models. We develop new models to circumvent the limitations that current deep learning models are facing including the above stated vulnerability. Towards this goal, we are collaborating with neuroscientists to unravel the neural wiring diagram of the mouse brain and simulate different physiological functions of animal brains.
Besides the above main interests, I'm also interested in AI+robotics.