Mingyu Yang

I am a fourth year PhD student in Electrical and Computer Engineering (ECE) at University of Michigan, supervised by Prof. Hun-Seok Kim. I am working on Machine Learning and Signal Processing.

Before my PhD, I achieved my M.S degree at University of Michigan, majored in Signal & Image Processing and Machine Learning (SIPML). I did my B.S degree from Beijing University of Technology (BJUT) and University College Dublin (UCD), Ireland.

Email  /  CV  /  Google Scholar  /  Github

My research interests include machine learning, signal processing, optimization, and computer vision.

A weight and computation sharing scheme for Multi-Task ViTs that leads to SOTA performace with fewer amount of parameters and FLOPs

An efficient deep visual inertial odometry (VIO) model that adaptively disables the visual modality according to the previous motion state and current IMU reading.

Deep JSCC with dynamic rate control conditioned on the channel and image contents. Gumbel-Softmax is adopted to make the whole system differentiable.

End-to-end optimized joint source channel coding system with OFDM for the multi-path fading channel.

A multi-modal neural network that estimates the location likelihood given light intensity and temperature observations.

An indoor localization system using reflective anchors and TDoA estimation, allowing simultaneous location of infinite number of targets with high accuracy.

Point cloud completion using self-attention layers

Drift-aware predictive coding for continuous domain adaptation

BJUT, Best 10 Graduates, 2017

BJUT, China National Scholarship, 2016

BJUT, President Scholarship (10/27000), 2016

The source code is from Jon Barron.