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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
About me
About me
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Posts
Future Blog Post
Published:
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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
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
ELLG: Explainable Lesion Learning and Generation for Diabetic Retinopathy Detection.
Chenhao Lin, Jiongli Zhu, Chao Shen, Pengwei Hu, Qian Wang
Published in IJCAI Workshop on Disease Computational Modeling, 2020
(Best Paper Award)
Building Fast and Compact Sketches for Approximately Multi-Set Multi-Membership Querying.
Rundong Li, Pinghui Wang, Jiongli Zhu, Junzhou Zhao, Jia Di, Xiaofei Yang, Kai Ye
Published in SIGMOD, 2021
Interpretable Data-Based Explanations for Fairness Debugging.
Romila Pradhan, Jiongli Zhu, Boris Glavic, Babak Salimi
Published in SIGMOD, 2022
Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher.
Jiongli Zhu, Romila Pradhan, Boris Glavic, Babak Salimi
Published in SIGMOD (Demo), 2022
Sensitive Region-Aware Black-Box Adversarial Attacks.
Chenhao Lin, Sicong Han, Jiongli Zhu, Qian Li, Chao Shen, Youwei Zhang, Xiaohong Guan
Published in Information Sciences, 2023
Consistent Range Approximation for Fair Predictive Modeling.
Jiongli Zhu, Sainyam Galhotra, Nazanin Sabri, Babak Salimi
Published in VLDB, 2023
Overcoming Data Biases: Towards Enhanced Accuracy and Reliability in Machine Learning.
Jiongli Zhu, Babak Salimi
Published in IEEE Data Engineering Bulletin, 2024
Learning from Uncertain Data: From Possible Worlds to Possible Models.
Jiongli Zhu, Su Feng, Boris Glavic, Babak Salimi
Published in NeurIPS, 2024
Zorro: Quantifying Uncertainty in Models & Predictions Arising from Dirty Data.
Kaiyuan Hu, Jiongli Zhu, Boris Glavic, Babak Salimi
Published in SIGMOD (Demo), 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.