Qiang Li (利 强)

  M.Sc. Computer Science

  RWTH Aachen University, Aachen, Germany

  Email: qiang.li@rwth-aachen.de

  CVLinkedInGitHub

About

Guten Tag! I am currently working as IT/OT & ML Analyst at Accenture. Before working at Accenture, I was an IDEA Research Grant Student in Prof. Dr. Manfred Claassen Group, ETH Zürich, and obtained my Master's degree in Computer Science at RWTH Aachen University. I got my bachelor degree from the HFUT with Top academic performance and received four years national scholarships. My Bachelor was majoring in IoT and I also founded the HFUT Robocup Lab. After my B.Sc. studies, I worked as a computer vision working-student in Siemens AG Aachen Gas Turbine research center while taking the Master Informatik study at RWTH Aachen.

My research interests focus on object recognition, base detection and segmentation, model interpretability, multi-tasking, and multi-modality.


News


Research Experiences

[Feedback from Mentor at ETH Claassen Lab]

[Feedback from Mentor at PayLuft Zürich Based Fintech Startup]

[Feedback from Mentor at Sinovation Venture AI Institute]

[Feedback from Mentor at RWTH Computer Vision Group]

Highly recommended to take a look at my work in addictive manufacturing image analysis at Siemens AG Aachen Gas Turbin Research Center, advised by Dr. Hamid Jahangir, Where I developed a software integrated with defect detection algorithm I designed. Check Expert Interview New Paths in 3D Printing, the interview and invited talk about our team and work.


Honors and Awards


Projects and Publications

ExplainAI

Explainable AI: Object Recognition With Help From Background
Raza Hashmi, Qiang Li
Accepted by The International Conference on Learning Representations (ICLR), CSS Workshop, 2022.
This work explores how backgrounds might help in object recognition tasks in depth. Our project is fascinated by the baseline work done by Xiao et al. in their noise or signal paper. Website    Blogs    Camera ready video of presentation on ICLR2022    Dataset on Kaggle   

AttentionNet

AI Quality Next - BMW Group - Computer Vision project
Computer Vision Engineer: Qiang Li
AIQX provides a platform to integrate machine learning & deep learning algorithms for visual inspections directly into the production processes. Creation of a central standard for the implementation of AI for quality inspections in the global production system. AI provides far more robust algorithms and opens new areas of defect detection and order verification for manufacturing.
Youtube:Artificial Intelligence at the BMW Group    Youtube:BMW Factory – Integration of A.I. in the Production Line    Project Website: BMW Internal Only*   

AttentionNet

All You Need Is Cell Attention: A Cell Annotation Tool for Single-Cell Morphology Data
Qiang Li*, Corin Otesteanu, Lily Xu
Accepted by The International Conference on Learning Representations (ICLR), Workshop on AI for Public Health, 2021.
PDF    code/software    

CellNet

Cell Morphology Based Diagnosis of Cancer using Convolutional Neural Networks: CellNet
Qiang Li, Yiran Xing, Tianwei Lan, ChenYu Tian, Ying Chen
Won Challenge on Medical Track of AI in Public Healthcare of DeeCamp 2020.
website    code/models    video

PCA

Localization and visualization of defects by PCA, KMeans, Colorspace Template Matching for Additive Manufacturing
Hamid Jahangir, Qiang Li
Invited Talk on International Conference on Additive Manufacturing (ICAM), 2020.
invited talk    slides    software   

CFUN

GPT-3 industry survey and applied scenarios
Qiyi Ye, Qiang Li
Designed 3 GPT-based generative model on real scenario at Sinovation Ventures AI Institut, 2020.
code/GPT generative models    slides


Miscellaneous

I am a vloger who love KPOP, Museum, Cooking... And You can find me in TikTok/Little Red Book(小红书)/Wechat Channel, We have received over 79,068 views and likes 👍, have instantly created 55 vlogs, don't give up! Let's move on together!
I joined a lot of Hackathons. It gave me valuable experience, developed my critical thinking, problem-solving, and leadership skills.







Qiang Li Last updated: 04. 08, 2022