Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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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
An Efficient Ride-Sharing Framework for Maximizing Shared Routes
Published in TKDE, 2017
A framework for efficient ride-sharing with theoretical guarantees.
An Efficient Ride-Sharing Framework for Maximizing Shared Routes
Published in ICDE, 2018
A system for maximizing shared routes in ride-sharing applications.
Attribute-Driven Backbone Discovery
Published in KDD, 2019
Methods for discovering backbone structures in large attributed graphs.
Ontology-Based Entity Matching in Attributed Graphs
Published in VLDB, 2019
Ontology-based techniques for entity matching in attributed graphs.
GEDet: Adversarially Learned Few-Shot Detection of Erroneous Nodes in Graphs
Published in BigData, 2020
A few-shot adversarial learning framework for detecting errors in knowledge graphs.
Explaining Missing Data in Graphs: A Constraint-Based Approach
Published in ICDE, 2021
Constraint-based techniques to explain missing answers in graph queries.
GEDet: Detecting Erroneous Nodes with a Few Examples
Published in VLDB, 2021
An interactive system for detecting erroneous nodes using few labeled examples.
GRIP: Constraint-Based Explanation of Missing Answers for Graph Queries
Published in SIGMOD, 2021
A system for explaining missing query answers using constraints and visualization.
Diversified Subgraph Query Generation with Group Fairness
Published in WSDM, 2022
Techniques for generating diverse and fair subgraph query results in knowledge graphs.
Subgraph Query Generation with Fairness and Diversity Constraints
Published in ICDE, 2022
Algorithms for subgraph query generation under fairness and diversity constraints.
RoboGNN: Robustifying Node Classification under Link Perturbation
Published in IJCAI, 2022
A framework for robust node classification under adversarial graph perturbations.
CRUX: Crowdsourced Materials Science Resource and Workflow Exploration
Published in CIKM, 2022
A platform for scientific data management, workflow exploration, and reproducibility.
Fair Group Summarization with Graph Patterns
Published in ICDE, 2023
A framework for fair group summarization in knowledge graphs to mitigate bias and improve representation.
GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs
Published in ICDE, 2023
GALE combines active learning and adversarial training for efficient error detection in knowledge graphs.
Selecting Top-k Data Science Models by Example Dataset
Published in CIKM, 2023
An exemplar-based approach for ranking candidate models based on representative datasets.
ModsNet: Performance-Aware Top-k Model Search Using Exemplar Datasets
Published in VLDB, 2024
ModsNet proposes a learning-based framework using exemplar datasets to efficiently search large model spaces without exhaustive evaluation.
Generating Skyline Datasets for Data Science Models
Published in EDBT, 2025
Data science practitioners often face the challenge of selecting appropriate models for their datasets. This paper proposes a framework for generating skyline datasets that optimally distinguish between competing models.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file 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.