Reinforcement Learning and Optimal Control in Complex Social Systems 08/2017-current

Developed discrete event decision process and multi-agent discrete event decision process to model the complex social system decision making problems.

Developed deep reinforcement learning, model-based reinforcement learning, and learning as inference algorithms to optimize the actions/decisions/strategies in complex social systems.

Tracking, Prediction, and Visualization in Complex Social Systems 05/2016-08/2017

Combined simulation modeling and Hidden Markov models in modeling the complex social system dynamics.

Developed deep learning, variational inference, sampling-based, and Gaussian process-based algorithms for dynamics tracking and forecasting.

Visualized the dynamics flow through dumping the dynamics into the database with PostgreSQL, and invoking the visualization with OpenStreetMap using JavaScript.

Satellite Image Super Resolution 02/2017-04/2017

Generated high-resolution images from low-resolution images using autoregressive image generation models.

Feature Extraction Capability of Deep Learning Algorithms 11/2016-12/2016

Developed deep learning algorithms (autoencoder and convolutional neural network) to discriminate handwritten letters from different people. Compared the feature extraction capability of these algorithms.

Pbench: a Benchmark Suite for Characterizing 3D Printing Prefabrication 01/2016-05/2016

Developed a benchmark suite for characterizing the performance of different computer systems running 3d printing prefabrication related tasks.

Slicing Acceleration Unit 08/2015-12/2015

Developed a hardware accelerator for data intensive computing with gem5.

Neural Network Accelerator 06/2014-01/2015

Developed a neural network computing unit for accelerating deep learning algorithms.

Real Time Face Detection 11/2014-12/2014

Developed a real-time face detection algorithm, and applied high-level synthesis to generate the low-level code to run in Xilinx Zynq-7000 FPGA board.