Abolfazl Asudeh

Publication Activity (10 Years)

Years Active: 2008-2025
Publications (10 Years): 88

Top Topics

Signal Reconstruction

Pairwise Comparisons

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

Publications

Sana Ebrahimi, Rishi Advani, Abolfazl Asudeh
Evaluating the Feasibility of Sampling-Based Techniques for Training Multilayer Perceptrons. EDBT (2025)
Nima Shahbazi, Abolfazl Asudeh
Reliability evaluation of individual predictions: a data-centric approach. VLDB J. 33 (4) (2024)
Sana Ebrahimi, Nima Shahbazi, Abolfazl Asudeh
REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models. CoRR (2024)
Suraj Shetiya, Ian P. Swift, Abolfazl Asudeh, Gautam Das
Shapley Values for Explanation in Two-sided Matching Applications. EDBT (2024)
Sana Ebrahimi, Kaiwen Chen, Abolfazl Asudeh, Gautam Das, Nick Koudas
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs. CoRR (2024)
Abolfazl Asudeh, Sainyam Galhotra, Amir Gilad, Babak Salimi, Brit Youngmann
First Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI). SIGMOD Conference Companion (2024)
Melika Mousavi, Nima Shahbazi, Abolfazl Asudeh
Data Coverage for Detecting Representation Bias in Image Datasets: A Crowdsourcing Approach. EDBT (2024)
Mahdi Erfanian, H. V. Jagadish, Abolfazl Asudeh
Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities. CoRR (2024)
Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh, Fatemeh Nargesian, Divesh Srivastava
FairEM360: A Suite for Responsible Entity Matching. CoRR (2024)
Mohsen Dehghankar, Rahul Raychaudhury, Stavros Sintos, Abolfazl Asudeh
Fair Set Cover. CoRR (2024)
Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh
Coverage-based Data-centric Approaches for Responsible and Trustworthy AI. IEEE Data Eng. Bull. 47 (1) (2024)
Nima Shahbazi, Stavros Sintos, Abolfazl Asudeh
FairHash: A Fair and Memory/Time-efficient Hashmap. Proc. ACM Manag. Data 2 (3) (2024)
Jiwon Chang, Bohan Cui, Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish
Data distribution tailoring revisited: cost-efficient integration of representative data. VLDB J. 33 (5) (2024)
Nima Shahbazi, Yin Lin, Abolfazl Asudeh, H. V. Jagadish
Representation Bias in Data: A Survey on Identification and Resolution Techniques. ACM Comput. Surv. 55 (13s) (2023)
Nima Shahbazi, Nikola Danevski, Fatemeh Nargesian, Abolfazl Asudeh, Divesh Srivastava
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching. CoRR (2023)
Khanh-Duy Nguyen, Nima Shahbazi, Abolfazl Asudeh
PopSim: An Individual-level Population Simulator for Equitable Allocation of City Resources. CoRR (2023)
Suraj Shetiya, Shohedul Hasan, Abolfazl Asudeh, Gautam Das
Efficient Strongly Polynomial Algorithms for Quantile Regression. CoRR (2023)
Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish
Next-generation Challenges of Responsible Data Integration. WSDM (2023)
Rishi Advani, Paolo Papotti, Abolfazl Asudeh
Maximizing Neutrality in News Ordering. CoRR (2023)
Rishi Advani, Abolfazl Asudeh
Online Maximum Independent Set of Hyperrectangles. CoRR (2023)
Rishi Advani, Paolo Papotti, Abolfazl Asudeh
Maximizing Neutrality in News Ordering. KDD (2023)
Nima Shahbazi, Nikola Danevski, Fatemeh Nargesian, Abolfazl Asudeh, Divesh Srivastava
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching. Proc. VLDB Endow. 16 (11) (2023)
Abolfazl Asudeh, Nima Shahbazi, Stavros Sintos
A Fair and Memory/Time-efficient Hashmap. CoRR (2023)
Sana Ebrahimi, Rishi Advani, Abolfazl Asudeh
Sampling-Based Techniques for Training Deep Neural Networks with Limited Computational Resources: A Scalability Evaluation. CoRR (2023)
Melika Mousavi, Nima Shahbazi, Abolfazl Asudeh
Data Coverage for Detecting Representation Bias in Image Datasets: A Crowdsourcing Approach. CoRR (2023)
Mohit Singhal, Javier Pacheco, Tanushree Debi, Seyyed Mohammad Sadegh Moosavi Khorzooghi, Abolfazl Asudeh, Gautam Das, Shirin Nilizadeh
Auditing Yelp's Business Ranking and Review Recommendation Through the Lens of Fairness. CoRR (2023)
Francesco Di Carlo, Nazanin Nezami, Hadis Anahideh, Abolfazl Asudeh
FairPilot: An Explorative System for Hyperparameter Tuning through the Lens of Fairness. CoRR (2023)
Abolfazl Asudeh, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Anastasios Sidiropoulos
Maximizing Coverage While Ensuring Fairness: A Tale of Conflicting Objectives. Algorithmica 85 (5) (2023)
Nima Shahbazi, Yin Lin, Abolfazl Asudeh, H. V. Jagadish
A Survey on Techniques for Identifying and Resolving Representation Bias in Data. CoRR (2022)
Ian P. Swift, Sana Ebrahimi, Azade Nova, Abolfazl Asudeh
Maximizing Fair Content Spread via Edge Suggestion in Social Networks. Proc. VLDB Endow. 15 (11) (2022)
Abolfazl Asudeh, Fatemeh Nargesian
Towards Distribution-aware Query Answering in Data Markets. Proc. VLDB Endow. 15 (11) (2022)
Suraj Shetiya, Ian P. Swift, Abolfazl Asudeh, Gautam Das
Fairness-Aware Range Queries for Selecting Unbiased Data. ICDE (2022)
Hadis Anahideh, Abolfazl Asudeh, Saravanan Thirumuruganathan
Fair active learning. Expert Syst. Appl. 199 (2022)
Nima Shahbazi, Abolfazl Asudeh
Data-Centric Distrust Quantification for Responsible AI: When Data-driven Outcomes Are Not Reliable. CoRR (2022)
Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish
Responsible Data Integration: Next-generation Challenges. SIGMOD Conference (2022)
Abolfazl Asudeh, Gautam Das, H. V. Jagadish, Shangqi Lu, Azade Nazi, Yufei Tao, Nan Zhang, Jianwen Zhao
On Finding Rank Regret Representatives. ACM Trans. Database Syst. 47 (3) (2022)
Ian P. Swift, Sana Ebrahmi, Azade Nova, Abolfazl Asudeh
Maximizing Fair Content Spread via Edge Suggestion in Social Networks. CoRR (2022)
Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning. SIGMOD Conference (2021)
Abolfazl Asudeh, You Wu, Cong Yu, H. V. Jagadish
Perturbation-based Detection and Resolution of Cherry-picking. IEEE Data Eng. Bull. 44 (3) (2021)
Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning. CoRR (2021)
Hantian Zhang, Nima Shahbazi, Xu Chu, Abolfazl Asudeh
FairRover: explorative model building for fair and responsible machine learning. DEEM@SIGMOD (2021)
Matteo Corain, Paolo Garza, Abolfazl Asudeh
DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets. ICDE (2021)
Hadis Anahideh, Nazanin Nezami, Abolfazl Asudeh
On the Choice of Fairness: Finding Representative Fairness Metrics for a Given Context. CoRR (2021)
Abolfazl Asudeh, Nima Shahbazi, Zhongjun Jin, H. V. Jagadish
Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes. SIGMOD Conference (2021)
Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish
Tailoring Data Source Distributions for Fairness-aware Data Integration. Proc. VLDB Endow. 14 (11) (2021)
Abolfazl Asudeh, Jees Augustine, Saravanan Thirumuruganathan, Azade Nazi, Nan Zhang, Gautam Das, Divesh Srivastava
Scalable signal reconstruction for a broad range of applications. Commun. ACM 64 (2) (2021)
Yoko Nagafuchi, Yin Lin, Kaushal Mamgain, Abolfazl Asudeh, H. V. Jagadish, You Wu, Cong Yu
MithraDetective: A System for Cherry-picked Trendlines Detection. CoRR (2020)
Zhongjun Jin, Mengjing Xu, Chenkai Sun, Abolfazl Asudeh, H. V. Jagadish
MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness. SIGMOD Conference (2020)
Hadis Anahideh, Abolfazl Asudeh, Saravanan Thirumuruganathan
Fair Active Learning. CoRR (2020)
Abolfazl Asudeh, H. V. Jagadish
Fairly Evaluating and Scoring Items in a Data Set. Proc. VLDB Endow. 13 (12) (2020)
Hadis Anahideh, Abolfazl Asudeh
Fair Active Learning. CoRR (2020)
Yin Lin, Yifan Guan, Abolfazl Asudeh, H. V. Jagadish
Identifying Insufficient Data Coverage in Databases with Multiple Relations. Proc. VLDB Endow. 13 (11) (2020)
Abolfazl Asudeh, Jees Augustine, Azade Nazi, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava
Scalable algorithms for signal reconstruction by leveraging similarity joins. VLDB J. 29 (2-3) (2020)
Jees Augustine, Suraj Shetiya, Abolfazl Asudeh, Saravanan Thirumuruganathan, Azade Nazi, Nan Zhang, Gautam Das, Divesh Srivastava
Orca-SR: A Real-Time Traffic Engineering Framework leveraging Similarity Joins. Proc. VLDB Endow. 13 (12) (2020)
Abolfazl Asudeh, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Anastasios Sidiropoulos
Maximizing coverage while ensuring fairness: a tale of conflicting objective. CoRR (2020)
Abolfazl Asudeh, H. V. Jagadish, You Wu, Cong Yu
On Detecting Cherry-picked Trendlines. Proc. VLDB Endow. 13 (6) (2020)
Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich
Towards Responsible Data-driven Decision Making in Score-Based Systems. IEEE Data Eng. Bull. 42 (3) (2019)
Abolfazl Asudeh, H. V. Jagadish
Responsible Scoring Mechanisms Through Function Sampling. CoRR (2019)
Sona Hasani, Faezeh Ghaderi, Shohedul Hasan, Saravanan Thirumuruganathan, Abolfazl Asudeh, Nick Koudas, Gautam Das
ApproxML: Efficient Approximate Ad-Hoc ML Models Through Materialization and Reuse. Proc. VLDB Endow. 12 (12) (2019)
Abolfazl Asudeh, Azade Nazi, Nan Zhang, Gautam Das, H. V. Jagadish
RRR: Rank-Regret Representative. SIGMOD Conference (2019)
Abolfazl Asudeh, Zhongjun Jin, H. V. Jagadish
Assessing and Remedying Coverage for a Given Dataset. ICDE (2019)
Suraj Shetiya, Abolfazl Asudeh, Sadia Ahmed, Gautam Das
A Unified Optimization Algorithm For Solving "Regret-Minimizing Representative" Problems. Proc. VLDB Endow. 13 (3) (2019)
Abolfazl Asudeh, Jees Augustine, Azade Nazi, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava
Efficient Signal Reconstruction for a Broad Range of Applications. SIGMOD Rec. 48 (1) (2019)
Chenkai Sun, Abolfazl Asudeh, H. V. Jagadish, Bill Howe, Julia Stoyanovich
MithraLabel: Flexible Dataset Nutritional Labels for Responsible Data Science. CIKM (2019)
Abolfazl Asudeh, Azade Nazi, Nick Koudas, Gautam Das
Maximizing Gain over Flexible Attributes in Peer to Peer Marketplaces. PAKDD (3) (2019)
Yifan Guan, Abolfazl Asudeh, Pranav Mayuram, H. V. Jagadish, Julia Stoyanovich, Gerome Miklau, Gautam Das
MithraRanking: A System for Responsible Ranking Design. SIGMOD Conference (2019)
Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich, Gautam Das
Designing Fair Ranking Schemes. SIGMOD Conference (2019)
Abolfazl Asudeh, Zhongjun Jin, H. V. Jagadish
Assessing and Remedying Coverage for a Given Dataset. CoRR (2018)
Abolfazl Asudeh, H. V. Jagadish, Gerome Miklau, Julia Stoyanovich
On Obtaining Stable Rankings. Proc. VLDB Endow. 12 (3) (2018)
Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H. V. Jagadish, Gerome Miklau
A Nutritional Label for Rankings. SIGMOD Conference (2018)
Abolfazl Asudeh, H. V. Jagadish, Gerome Miklau, Julia Stoyanovich
On Obtaining Stable Rankings. CoRR (2018)
Sona Hasani, Saravanan Thirumuruganathan, Abolfazl Asudeh, Nick Koudas, Gautam Das
Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse. Proc. VLDB Endow. 11 (11) (2018)
Yeshwanth Durairaj Gunasekaran, Abolfazl Asudeh, Sona Hasani, Nan Zhang, Ali Jaoua, Gautam Das
QR2: A Third-Party Query Reranking Service over Web Databases. ICDE (2018)
Yeshwanth D. Gunasekaran, Abolfazl Asudeh, Sona Hasani, Nan Zhang, Ali Jaoua, Gautam Das
QR2: A Third-party Query Reranking Service Over Web Databases. CoRR (2018)
Abolfazl Asudeh, Azade Nazi, Nan Zhang, Gautam Das, H. V. Jagadish
RRR: Rank-Regret Representative. CoRR (2018)
Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H. V. Jagadish, Gerome Miklau
A Nutritional Label for Rankings. CoRR (2018)
Abolfazl Asudeh, Azade Nazi, Jees Augustine, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava
Leveraging Similarity Joins for Signal Reconstruction. Proc. VLDB Endow. 11 (10) (2018)
Md Farhadur Rahman, Abolfazl Asudeh, Nick Koudas, Gautam Das
Efficient Computation of Subspace Skyline over Categorical Domains. CIKM (2017)
Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich, Gautam Das
Designing Fair Ranking Schemes. CoRR (2017)
Md Farhadur Rahman, Abolfazl Asudeh, Nick Koudas, Gautam Das
Efficient Computation of Subspace Skyline over Categorical Domains. CoRR (2017)
Azade Nazi, Abolfazl Asudeh, Gautam Das, Nan Zhang, Ali Jaoua
MobiFace: A Mobile Application for Faceted Search over Hidden Web Databases. ICCA (2017)
Abolfazl Asudeh, Azade Nazi, Nick Koudas, Gautam Das
Assisting Service Providers In Peer-to-peer Marketplaces: Maximizing Gain Over Flexible Attributes. CoRR (2017)
Abolfazl Asudeh, Azade Nazi, Nan Zhang, Gautam Das
Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative. SIGMOD Conference (2017)
Abolfazl Asudeh, Nan Zhang, Gautam Das
Query Reranking As A Service. CoRR (2016)
Abolfazl Asudeh, Gergely V. Záruba, Sajal K. Das
A general model for MAC protocol selection in wireless sensor networks. Ad Hoc Networks 36 (2016)
Abolfazl Asudeh, Nan Zhang, Gautam Das
Query Reranking As A Service. Proc. VLDB Endow. 9 (11) (2016)
Abolfazl Asudeh, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das
Discovering the Skyline of Web Databases. Proc. VLDB Endow. 9 (7) (2016)
Ning Yan, Sona Hasani, Abolfazl Asudeh, Chengkai Li
Generating Preview Tables for Entity Graphs. SIGMOD Conference (2016)
Abolfazl Asudeh, Gergely V. Záruba, Sajal K. Das
A General Model for MAC Protocol Selection in Wireless Sensor Networks. CoRR (2015)
Abolfazl Asudeh, Gensheng Zhang, Naeemul Hassan, Chengkai Li, Gergely V. Záruba
Crowdsourcing Pareto-Optimal Object Finding By Pairwise Comparisons. CIKM (2015)
Abolfazl Asudeh, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das
Discovering the Skyline of Web Databases. CoRR (2015)
Ning Yan, Abolfazl Asudeh, Chengkai Li
Generating Preview Tables for Entity Graphs. CoRR (2014)
Abolfazl Asudeh, Gensheng Zhang, Naeemul Hassan, Chengkai Li, Gergely V. Záruba
Crowdsourcing Pareto-Optimal Object Finding by Pairwise Comparisons. CoRR (2014)
Abolfazl Asudeh, Ali Movaghar
MEHR: Multi-Hop Energy-Aware Hierarchical Routing for Wireless Sensor Networks. NTMS (2008)