Han Liu @ Computer Science, Northwestern University

Data Science

Project: Combinatorial Inference.

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Infering the topological and geometrical properties of high dimensional probabilistic graphical models.

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Artificial Intelligence

Project: Simulational Inference

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Learning the deep representation of data using large-scale computational experiments.

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Robotics

Project: Decision making under uncertainty.

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A massive scale simulation based approach to develop and deploy intelligent robots.

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Ace: An AI-enabled Framework for Massive Computational Experiments

Keywords: Programing language, database, distributed computation, compliers, human-computer interaction.

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Building an AI-centric operating system for managing massive computational experiments, with applications to science, engineering, and business.

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Highlights

We currently highlight:

Combinatorial Inference for Graphical Models

April 6th, 2019 | Paper

Matey Neykov, Junewei Lu and Han Liu.

Property Testing in High-D Ising models

April 6th, 2019 | Paper

Matey Neykov and Han Liu.

Reading Group

We have biweekly reading group. The topics of this quarter include conversational AI, object detection and optimal character recognition, deep reinforcement learning, robotics operating system.

Get In Touch

Department of Computer Science
Mudd Hall 3119
Northwestern University
Evanston, IL 60201
Phone: +847 491 2793
Email: hanliu@northwestern.edu