Guten Tag! I am currently working as IT/OT & ML Senior 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, detection and segmentation, deployment of ML system, model interpretability, multi-tasking, and multi-modality.
NEW [Jan, 2023] If you are also interested on CI/CD for ML System topics, please feel free to check my blog on Medium.
NEW [Nov, 2022] I’m happy to share that I’m officially being promoted to Senior Analyst! This was an amazing year, with 106% average productivity in real industry projects, 6+ assets & offerings being demonstrated to the clients, 2 publications in ICLR/NeurIPS, Computer Vision Engineer roles, RollOut Team Lead roles, and leading a Community and Relationship sub-circle. Finally be rewarded with all joys and skill-sets, and more future possibilities and responsibilities:)
[Oct, 2022] We are delighted to share that our paper Continual learning on deployment pipelines for Machine Learning Systems was accepted to the Challenges in deploying and monitoring ML systems workshop on NeurIPS 2022. Paper will be released on Website, and live stream on NeurIPS 2022.
[April, 2022] Our work Explainable AI: Object Recognition With Help From Background has been accepted by CSS Workshop on ICLR 2022! See us on workshop website and our live presentation on ICLR.
[Feb, 2022] Thrilled to announce that I will be joining Accenture ASG Computer Vision Expert Group to support and create more CV related Assets and Side-Projects!
[Sep, 2021] It's a great honour to support Community & Relationship Management as a Lead role at IT/OT Engineering Sub-Circles and Teams, Accenture ASG!
[March, 2021] AttentionNet paper has been accepted by AI for Public Health Workshop on ICLR 2021!
[November, 2020] Awarded the Best Team Leader prize on Deecamp2020 .
[November, 2020] Our CellNet software ranked the 2nd place in Medical Track on Deecamp2020.
[August, 2020] Defend my master thesis Cell Morphology Based Diagnosis of Cancer using CNNs to supervisor: Prof. Dr. Manfred Claassen from IMSB Group ETH Zürich, Prof. Dr. Bastian Leibe from RWTH Aachen, Dr. Corin Otesteanu, PhD CVLab and PostDoc from IMSB Group ETH Zurich.
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
The RWTH Stipend in IDEA League Research Grant, ETH Zürich, 2020.
The DeeCamp2020 by Sinovation Ventures and UNDP, Best Team Leader prize, 2020.
The DeeCamp2020 by Sinovation Ventures and UNDP, Excellent Performance Team prize, 2020.
The Siemens Statistic/Six Sigma training, Yellow Belt Certiﬁcation, 2019.
The Europe BEST Engineering Competition, 2nd Prize Europe region, 2018.
The Connected Campus Idea Competition (CCIC), Top 7 in Berlin, 2017.
The Excellent student of Hefei University of Technology, HFUT University, 2016.
The International Robocup Robot Competition, 1st Prize in China, 12th Prize in Global, 2014.
The International Internet of Things Innovation, 3rd Prize in China, 2014.
Projects and Publications
Continual learning on deployment pipelines for Machine Learning Systems Qiang Li, Chongyu Zhang
Accepted by The Conference on Neural Information Processing Systems (NeurIPS), DMML Workshop, 2022.
In this work, we presented a comparison of various solutions for the deployment of machine learning systems, includes different layers of automation from highly manual model training and deployment to an automated continuous integration workflow. We proposed the evaluation metrics in practice and describe how real-world requirements differ from more academic settings.
Livestream on NeurIPS2022PosterPaper on arxivResearchGateWorkshop Website
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.
WebsiteBlogsCamera ready video of presentation on ICLR2022Dataset on Kaggle
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. PDFcode/software
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. websitecode/modelsvideo
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 talkslidessoftware
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 modelsslides
Hobbies: Vloger who love KPOP, Museum, Cooking... And you can find me in TikTok / Little Red Book(小红书)/ Wechat Channel by ‘Jonas的新鲜感’（Jonas' curiosity), We have received over millions of views and likes 👍, and thousands of followers! Have created 100+ Vlogs. Keeping Learning! Let's move on together!
I am a fan of Hackathons. It gave me valuable experiences, developed critical thinking, problem-solving, and leadership skills.