Abolfazl Asudeh

According to our database, Abolfazl Asudeh authored at least 82 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Finding representative group fairness metrics using correlation estimations.

Hadis Anahideh, Nazanin Nezami, Abolfazl Asudeh

Expert Syst. Appl., 2025

Evaluating the Feasibility of Sampling-Based Techniques for Training Multilayer Perceptrons.

Sana Ebrahimi, Rishi Advani, Abolfazl Asudeh

Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

2024

Data distribution tailoring revisited: cost-efficient integration of representative data.

Jiwon Chang, Bohan Cui, Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish

VLDB J., September, 2024

FairEM360: A Suite for Responsible Entity Matching.

Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh, Fatemeh Nargesian, Divesh Srivastava

Proc. VLDB Endow., August, 2024

Reliability evaluation of individual predictions: a data-centric approach.

Nima Shahbazi, Abolfazl Asudeh

VLDB J., July, 2024

Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities.

Mahdi Erfanian, H. V. Jagadish, Abolfazl Asudeh

Proc. VLDB Endow., July, 2024

FairHash: A Fair and Memory/Time-efficient Hashmap.

Nima Shahbazi, Stavros Sintos, Abolfazl Asudeh

Proc. ACM Manag. Data, 2024

Coverage-based Data-centric Approaches for Responsible and Trustworthy AI.

Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh

IEEE Data Eng. Bull., 2024

Needle: A Generative-AI Powered Monte Carlo Method for Answering Complex Natural Language Queries on Multi-modal Data.

Mahdi Erfanian, Mohsen Dehghankar, Abolfazl Asudeh

CoRR, 2024

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks.

Mohsen Dehghankar, Abolfazl Asudeh

CoRR, 2024

Optimized Inference for 1.58-bit LLMs: A Time and Memory-Efficient Algorithm for Binary and Ternary Matrix Multiplication.

Mohsen Dehghankar, Mahdi Erfanian, Abolfazl Asudeh

CoRR, 2024

Mining the Minoria: Unknown, Under-represented, and Under-performing Minority Groups.

Mohsen Dehghankar, Abolfazl Asudeh

CoRR, 2024

Fair Set Cover.

Mohsen Dehghankar, Rahul Raychaudhury, Stavros Sintos, Abolfazl Asudeh

CoRR, 2024

AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs.

Sana Ebrahimi, Kaiwen Chen, Abolfazl Asudeh, Gautam Das, Nick Koudas

CoRR, 2024

First Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI).

Abolfazl Asudeh, Sainyam Galhotra, Amir Gilad, Babak Salimi, Brit Youngmann

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models.

Sana Ebrahimi, Nima Shahbazi, Abolfazl Asudeh

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Shapley Values for Explanation in Two-sided Matching Applications.

Suraj Shetiya, Ian P. Swift, Abolfazl Asudeh, Gautam Das

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

Data Coverage for Detecting Representation Bias in Image Datasets: A Crowdsourcing Approach.

Melika Mousavi, Nima Shahbazi, Abolfazl Asudeh

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023

Maximizing Coverage While Ensuring Fairness: A Tale of Conflicting Objectives.

Abolfazl Asudeh, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Anastasios Sidiropoulos

Algorithmica, May, 2023

Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching.

Nima Shahbazi, Nikola Danevski, Fatemeh Nargesian, Abolfazl Asudeh, Divesh Srivastava

Proc. VLDB Endow., 2023

Representation Bias in Data: A Survey on Identification and Resolution Techniques.

Nima Shahbazi, Yin Lin, Abolfazl Asudeh, H. V. Jagadish

ACM Comput. Surv., 2023

Auditing Yelp's Business Ranking and Review Recommendation Through the Lens of Fairness.

Mohit Singhal, Javier Pacheco, Tanushree Debi, Seyyed Mohammad Sadegh Moosavi Khorzooghi, Abolfazl Asudeh, Gautam Das, Shirin Nilizadeh

CoRR, 2023

Online Maximum Independent Set of Hyperrectangles.

Rishi Advani, Abolfazl Asudeh

CoRR, 2023

A Fair and Memory/Time-efficient Hashmap.

Abolfazl Asudeh, Nima Shahbazi, Stavros Sintos

CoRR, 2023

Efficient Strongly Polynomial Algorithms for Quantile Regression.

Suraj Shetiya, Shohedul Hasan, Abolfazl Asudeh, Gautam Das

CoRR, 2023

Sampling-Based Techniques for Training Deep Neural Networks with Limited Computational Resources: A Scalability Evaluation.

Sana Ebrahimi, Rishi Advani, Abolfazl Asudeh

CoRR, 2023

PopSim: An Individual-level Population Simulator for Equitable Allocation of City Resources.

Khanh-Duy Nguyen, Nima Shahbazi, Abolfazl Asudeh

CoRR, 2023

FairPilot: An Explorative System for Hyperparameter Tuning through the Lens of Fairness.

Francesco Di Carlo, Nazanin Nezami, Hadis Anahideh, Abolfazl Asudeh

CoRR, 2023

Next-generation Challenges of Responsible Data Integration.

Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Maximizing Neutrality in News Ordering.

Rishi Advani, Paolo Papotti, Abolfazl Asudeh

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

On Finding Rank Regret Representatives.

Abolfazl Asudeh, Gautam Das, H. V. Jagadish, Shangqi Lu, Azade Nazi, Yufei Tao, Nan Zhang, Jianwen Zhao

ACM Trans. Database Syst., 2022

Maximizing Fair Content Spread via Edge Suggestion in Social Networks.

Ian P. Swift, Sana Ebrahimi, Azade Nova, Abolfazl Asudeh

Proc. VLDB Endow., 2022

Towards Distribution-aware Query Answering in Data Markets.

Abolfazl Asudeh, Fatemeh Nargesian

Proc. VLDB Endow., 2022

Fair active learning.

Hadis Anahideh, Abolfazl Asudeh, Saravanan Thirumuruganathan

Expert Syst. Appl., 2022

Data-Centric Distrust Quantification for Responsible AI: When Data-driven Outcomes Are Not Reliable.

Nima Shahbazi, Abolfazl Asudeh

CoRR, 2022

A Survey on Techniques for Identifying and Resolving Representation Bias in Data.

Nima Shahbazi, Yin Lin, Abolfazl Asudeh, H. V. Jagadish

CoRR, 2022

Responsible Data Integration: Next-generation Challenges.

Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Fairness-Aware Range Queries for Selecting Unbiased Data.

Suraj Shetiya, Ian P. Swift, Abolfazl Asudeh, Gautam Das

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Tailoring Data Source Distributions for Fairness-aware Data Integration.

Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish

Proc. VLDB Endow., 2021

Perturbation-based Detection and Resolution of Cherry-picking.

Abolfazl Asudeh, You Wu, Cong Yu, H. V. Jagadish

IEEE Data Eng. Bull., 2021

On the Choice of Fairness: Finding Representative Fairness Metrics for a Given Context.

Hadis Anahideh, Nazanin Nezami, Abolfazl Asudeh

CoRR, 2021

Scalable signal reconstruction for a broad range of applications.

Abolfazl Asudeh, Jees Augustine, Saravanan Thirumuruganathan, Azade Nazi, Nan Zhang, Gautam Das, Divesh Srivastava

Commun. ACM, 2021

FairRover: explorative model building for fair and responsible machine learning.

Hantian Zhang, Nima Shahbazi, Xu Chu, Abolfazl Asudeh

Proceedings of the Fifth Workshop on Data Management for End-To-End Machine Learning, 2021

OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning.

Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes.

Abolfazl Asudeh, Nima Shahbazi, Zhongjun Jin, H. V. Jagadish

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets.

Matteo Corain, Paolo Garza, Abolfazl Asudeh

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Scalable algorithms for signal reconstruction by leveraging similarity joins.

Abolfazl Asudeh, Jees Augustine, Azade Nazi, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava

VLDB J., 2020

Identifying Insufficient Data Coverage in Databases with Multiple Relations.

Yin Lin, Yifan Guan, Abolfazl Asudeh, H. V. Jagadish

Proc. VLDB Endow., 2020

Orca-SR: A Real-Time Traffic Engineering Framework leveraging Similarity Joins.

Jees Augustine, Suraj Shetiya, Abolfazl Asudeh, Saravanan Thirumuruganathan, Azade Nazi, Nan Zhang, Gautam Das, Divesh Srivastava

Proc. VLDB Endow., 2020

On Detecting Cherry-picked Trendlines.

Abolfazl Asudeh, H. V. Jagadish, You Wu, Cong Yu

Proc. VLDB Endow., 2020

Fairly Evaluating and Scoring Items in a Data Set.

Abolfazl Asudeh, H. V. Jagadish

Proc. VLDB Endow., 2020

MithraDetective: A System for Cherry-picked Trendlines Detection.

Yoko Nagafuchi, Yin Lin, Kaushal Mamgain, Abolfazl Asudeh, H. V. Jagadish, You Wu, Cong Yu

CoRR, 2020

Maximizing coverage while ensuring fairness: a tale of conflicting objective.

Abolfazl Asudeh, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Anastasios Sidiropoulos

CoRR, 2020

Fair Active Learning.

Hadis Anahideh, Abolfazl Asudeh

CoRR, 2020

MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness.

Zhongjun Jin, Mengjing Xu, Chenkai Sun, Abolfazl Asudeh, H. V. Jagadish

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

Efficient Signal Reconstruction for a Broad Range of Applications.

Abolfazl Asudeh, Jees Augustine, Azade Nazi, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava

SIGMOD Rec., 2019

A Unified Optimization Algorithm For Solving "Regret-Minimizing Representative" Problems.

Suraj Shetiya, Abolfazl Asudeh, Sadia Ahmed, Gautam Das

Proc. VLDB Endow., 2019

ApproxML: Efficient Approximate Ad-Hoc ML Models Through Materialization and Reuse.

Sona Hasani, Faezeh Ghaderi, Shohedul Hasan, Saravanan Thirumuruganathan, Abolfazl Asudeh, Nick Koudas, Gautam Das

Proc. VLDB Endow., 2019

Towards Responsible Data-driven Decision Making in Score-Based Systems.

Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich

IEEE Data Eng. Bull., 2019

Responsible Scoring Mechanisms Through Function Sampling.

Abolfazl Asudeh, H. V. Jagadish

CoRR, 2019

MithraRanking: A System for Responsible Ranking Design.

Yifan Guan, Abolfazl Asudeh, Pranav Mayuram, H. V. Jagadish, Julia Stoyanovich, Gerome Miklau, Gautam Das

Proceedings of the 2019 International Conference on Management of Data, 2019

RRR: Rank-Regret Representative.

Abolfazl Asudeh, Azade Nazi, Nan Zhang, Gautam Das, H. V. Jagadish

Proceedings of the 2019 International Conference on Management of Data, 2019

Designing Fair Ranking Schemes.

Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich, Gautam Das

Proceedings of the 2019 International Conference on Management of Data, 2019

Maximizing Gain over Flexible Attributes in Peer to Peer Marketplaces.

Abolfazl Asudeh, Azade Nazi, Nick Koudas, Gautam Das

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Assessing and Remedying Coverage for a Given Dataset.

Abolfazl Asudeh, Zhongjun Jin, H. V. Jagadish

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

MithraLabel: Flexible Dataset Nutritional Labels for Responsible Data Science.

Chenkai Sun, Abolfazl Asudeh, H. V. Jagadish, Bill Howe, Julia Stoyanovich

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse.

Sona Hasani, Saravanan Thirumuruganathan, Abolfazl Asudeh, Nick Koudas, Gautam Das

Proc. VLDB Endow., 2018

Leveraging Similarity Joins for Signal Reconstruction.

Abolfazl Asudeh, Azade Nazi, Jees Augustine, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava

Proc. VLDB Endow., 2018

On Obtaining Stable Rankings.

Abolfazl Asudeh, H. V. Jagadish, Gerome Miklau, Julia Stoyanovich

Proc. VLDB Endow., 2018

A Nutritional Label for Rankings.

Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H. V. Jagadish, Gerome Miklau

Proceedings of the 2018 International Conference on Management of Data, 2018

QR2: A Third-Party Query Reranking Service over Web Databases.

Yeshwanth Durairaj Gunasekaran, Abolfazl Asudeh, Sona Hasani, Nan Zhang, Ali Jaoua, Gautam Das

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Assisting Service Providers In Peer-to-peer Marketplaces: Maximizing Gain Over Flexible Attributes.

Abolfazl Asudeh, Azade Nazi, Nick Koudas, Gautam Das

CoRR, 2017

Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative.

Abolfazl Asudeh, Azade Nazi, Nan Zhang, Gautam Das

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

MobiFace: A Mobile Application for Faceted Search over Hidden Web Databases.

Azade Nazi, Abolfazl Asudeh, Gautam Das, Nan Zhang, Ali Jaoua

Proceedings of the International Conference on Computer and Applications, 2017

Efficient Computation of Subspace Skyline over Categorical Domains.

Md Farhadur Rahman, Abolfazl Asudeh, Nick Koudas, Gautam Das

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Query Reranking As A Service.

Abolfazl Asudeh, Nan Zhang, Gautam Das

Proc. VLDB Endow., 2016

Discovering the Skyline of Web Databases.

Abolfazl Asudeh, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das

Proc. VLDB Endow., 2016

A general model for MAC protocol selection in wireless sensor networks.

Abolfazl Asudeh, Gergely V. Záruba, Sajal K. Das

Ad Hoc Networks, 2016

Generating Preview Tables for Entity Graphs.

Ning Yan, Sona Hasani, Abolfazl Asudeh, Chengkai Li

Proceedings of the 2016 International Conference on Management of Data, 2016

2015

Crowdsourcing Pareto-Optimal Object Finding By Pairwise Comparisons.

Abolfazl Asudeh, Gensheng Zhang, Naeemul Hassan, Chengkai Li, Gergely V. Záruba

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Generating Preview Tables for Entity Graphs.

Ning Yan, Abolfazl Asudeh, Chengkai Li

CoRR, 2014

2008

MEHR: Multi-Hop Energy-Aware Hierarchical Routing for Wireless Sensor Networks.

Abolfazl Asudeh, Ali Movaghar

Proceedings of the NTMS 2008, 2008