Mingyu Yang

I am a fifth 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

Research

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

	SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Mingyu Yang, Jitong Lu, Hun-Seok Kim Under review Apply the SAM model to aid domain adaptations for multi-modal 3D semantic segmentation
	Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image Transmission Mingyu Yang, Bowen Liu, Boyang Wang, Hun-Seok Kim Under review arxiv / code Apply conditional diffusion models to enable high realism deep JSCC reconstructions
	Efficient Computation Sharing for Multi-Task Visual Scene Understanding Sara Shoouri, Mingyu Yang, Zichen Fan, Hun-Seok Kim ICCV, 2023 arxiv / code A weight and computation sharing scheme for Multi-Task ViTs that leads to SOTA performace with fewer amount of parameters and FLOPs
	Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection Mingyu Yang, Yu Chen, Hun-Seok Kim ECCV, 2022 arXiv / code / poster / video / Extention with NAS 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 Joint Source Channel Coding for Wireless Image Transmission with Adaptive Rate Control Mingyu Yang, Hun-Seok Kim ICASSP, 2022 arXiv / code Deep JSCC with dynamic rate control conditioned on the channel and image contents. Gumbel-Softmax is adopted to make the whole system differentiable.
	Deep Joint Source Channel Coding for Wireless Image Transmission with OFDM Mingyu Yang, Chenghong Bian, Hun-Seok Kim ICC, 2021 (short) IEEE Transactions on Cognitive Communications and Networking (long) arXiv / code / extended journal version End-to-end optimized joint source channel coding system with OFDM for the multi-path fading channel.
	Migrating Monarch Butterfly Localization Using Multi-Modal Sensor Fusion Neural Networks Mingyu Yang, Roger Hsiao, Gordy Carichner, Katherine Ernst, Jaechan Lim, Delbert A. Green II, Inhee Lee, David Blaauw, Hun-Seok Kim EUSIPCO, 2020 Mobicom, 2021 (system paper) project page / code / paper / system paper A multi-modal neural network that estimates the location likelihood given light intensity and temperature observations.
	iLPS: Local Positioning System with Simultaneous Localization and Wireless Communication Mingyu Yang, Li-Xuan Chuo, Karan Suri, Lu Liu, Hao Zheng, Hun-Seok Kim INFOCOM, 2019 paper An indoor localization system using reflective anchors and TDoA estimation, allowing simultaneous location of infinite number of targets with high accuracy.

Course Projects

	Point Cloud Completion with Transformer Mingyu Yang, Shiyu Liu, Luya Gao Course project of EECS 598-012, W21 report Point cloud completion using self-attention layers
	Drift-Aware Predictive Coding for Adaptation in Changing Environments Haozhu Wang, Zhangxing Bian, Rui Guo, Anthony Liang, Mingyu Yang Course project of EECS 542, F20 report Drift-aware predictive coding for continuous domain adaptation

Award

BJUT, Best 10 Graduates, 2017

BJUT, China National Scholarship, 2016

BJUT, President Scholarship (10/27000), 2016

Review Service

IEEE journals: WCL, TWC, TCOM, TCCN, TGCN, JSAC, TMC, TSP

Conferences: NIPS'23'24, ICLR'24'25, ICML'24, ICASSP'24'25, CVPR'24, ICRA'24‘25, AAAI'25

The source code is from Jon Barron.