Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Crypto Bot Performance
The chart undergoes automatic weekly updates through GitHub Actions.
- 2023/10/14: Bot deployed on mainnet.
- 2024/01/29: Started tracking portfolio value.
- 2024/02/15: Total value now includes funds set aside to pay for transaction fees.
- 2024/03/16: Bot paused due to network congestion leading to spike in transaction fees and failed transactions.
- 2024/04/06: Bot resumed after network calmed down a bit.
- 2024/05/06: Bot paused indefinitely due to protocol fee schedule changes.
publications
Enabling robust offline active learning for machine learning potentials using simple physics-based priors Permalink
Published in Machine Learning: Science and Technology, 2020
Recommended citation: Muhammed Shuaibi, Saurabh Sivakumar, Rui Qi Chen, and Zachary W. Ulissi. Enabling robust offline active learning for machine learning potentials using simple physics-based priors. Machine Learning: Science and Technology 2020
AmpTorch: A Python package for scalable fingerprint-based neural network training on multi-element systems with integrated uncertainty quantification Permalink
Published in Journal of Open Source Software, 2023
Recommended citation: Muhammed Shuaibi, Yuge Hu, Xiangyun Lei, Benjamin M. Comer, Matt Adams, Jacob Paras, Rui Qi Chen, Eric Musa, Joseph Musielewicz, Andrew A. Peterson, Andrew J. Medford, and Zachary Ulissi. AmpTorch: A Python package for scalable fingerprint-based neural network training on multi-element systems with integrated uncertainty quantification. JOSS 2023
Real-time semantic segmentation and anomaly detection of functional images for cell therapy manufacturing Permalink
Published in Cytotherapy, 2023
Recommended citation: Rui Qi Chen, Benjamin Joffe, Paloma Casteleiro Costa, Caroline Filan, Bryan Wang, Stephen Balakirsky, Francisco Robles, Krishnendu Roy, and Jing Li. Real-time semantic segmentation and anomaly detection of functional images for cell therapy manufacturing. Cytotherapy 2023
Interfacing data science with cell therapy manufacturing: Where we are and where we need to be Permalink
Published in Cytotherapy, 2024
Recommended citation: Bryan Wang, Rui Qi Chen, Jing Li, and Krishnendu Roy. Interfacing data science with cell therapy manufacturing: Where we are and where we need to be. Cytotherapy 2024
Leveraging pre-trained transformers for efficient segmentation and lesion detection in cone-beam CT scans Permalink
Published in Journal of Endodontics, 2024
Recommended citation: Rui Qi Chen, Yeonju Lee, Hao Yan, Muralidhar Mupparapu, Fleming Lure, Jing Li, and Frank C. Setzer. Leveraging pre-trained transformers for efficient segmentation and lesion detection in cone-beam CT scans. Journal of Endodontics 2024
Oral-anatomical knowledge-informed semi-supervised learning for 3D dental CBCT segmentation and lesion detection Permalink
Published in IEEE Transactions on Automation Science and Engineering, 2025
Recommended citation: Yeonju Lee, Min Gu Kwak, Rui Qi Chen, Hao Yan, Muralidhar Mupparapu, Fleming Lure, Frank C. Setzer, and Jing Li. Oral-anatomical knowledge-informed semi-supervised learning for 3D dental CBCT segmentation and lesion detection. IEEE T-ASE 2025
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.