MEHR: Multi-Hop Energy-Aware Hierarchical Routing for Wireless Sensor Networks. - Abolfazl Asudeh; Ali Movaghar 001 (NTMS, 2008)

Generating Preview Tables for Entity Graphs. - Ning Yan; Abolfazl Asudeh; Chengkai Li 001 (CoRR, 2014)

Crowdsourcing Pareto-Optimal Object Finding By Pairwise Comparisons. - Abolfazl Asudeh; Gensheng Zhang; Naeemul Hassan; Chengkai Li 001; Gergely V. Záruba (CIKM, 2015)

Generating Preview Tables for Entity Graphs. - Ning Yan; Sona Hasani; Abolfazl Asudeh; Chengkai Li 001 (SIGMOD Conference, 2016)

A general model for MAC protocol selection in wireless sensor networks. - Abolfazl Asudeh; Gergely V. Záruba; Sajal K. Das 001 (Ad Hoc Networks, 2016)

Discovering the Skyline of Web Databases. - Abolfazl Asudeh; Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001 (Proc. VLDB Endow., 2016)

Query Reranking As A Service. - Abolfazl Asudeh; Nan Zhang 004; Gautam Das 001 (Proc. VLDB Endow., 2016)

Efficient Computation of Subspace Skyline over Categorical Domains. - Md Farhadur Rahman; Abolfazl Asudeh; Nick Koudas; Gautam Das 001 (CIKM, 2017)

MobiFace: A Mobile Application for Faceted Search over Hidden Web Databases. - Azade Nazi; Abolfazl Asudeh; Gautam Das 001; Nan Zhang 004; Ali Jaoua (ICCA, 2017)

Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative. - Abolfazl Asudeh; Azade Nazi; Nan Zhang 004; Gautam Das 001 (SIGMOD Conference, 2017)

Assisting Service Providers In Peer-to-peer Marketplaces: Maximizing Gain Over Flexible Attributes. - Abolfazl Asudeh; Azade Nazi; Nick Koudas; Gautam Das 001 (CoRR, 2017)

QR2: A Third-Party Query Reranking Service over Web Databases. - Yeshwanth Durairaj Gunasekaran; Abolfazl Asudeh; Sona Hasani; Nan Zhang 004; Ali Jaoua; Gautam Das 001 (ICDE, 2018)

A Nutritional Label for Rankings. - Ke Yang 003; Julia Stoyanovich; Abolfazl Asudeh; Bill Howe; H. V. Jagadish; Gerome Miklau (SIGMOD Conference, 2018)

On Obtaining Stable Rankings. - Abolfazl Asudeh; H. V. Jagadish; Gerome Miklau; Julia Stoyanovich (Proc. VLDB Endow., 2018)

Leveraging Similarity Joins for Signal Reconstruction. - Abolfazl Asudeh; Azade Nazi; Jees Augustine; Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001; Divesh Srivastava (Proc. VLDB Endow., 2018)

Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse. - Sona Hasani; Saravanan Thirumuruganathan; Abolfazl Asudeh; Nick Koudas; Gautam Das 001 (Proc. VLDB Endow., 2018)

MithraLabel: Flexible Dataset Nutritional Labels for Responsible Data Science. - Chenkai Sun; Abolfazl Asudeh; H. V. Jagadish; Bill Howe; Julia Stoyanovich (CIKM, 2019)

Assessing and Remedying Coverage for a Given Dataset. - Abolfazl Asudeh; Zhongjun Jin; H. V. Jagadish (ICDE, 2019)

Maximizing Gain over Flexible Attributes in Peer to Peer Marketplaces. - Abolfazl Asudeh; Azade Nazi; Nick Koudas; Gautam Das 001 (PAKDD (3), 2019)

Designing Fair Ranking Schemes. - Abolfazl Asudeh; H. V. Jagadish; Julia Stoyanovich; Gautam Das 001 (SIGMOD Conference, 2019)

RRR: Rank-Regret Representative. - Abolfazl Asudeh; Azade Nazi; Nan Zhang 004; Gautam Das 001; H. V. Jagadish (SIGMOD Conference, 2019)

MithraRanking: A System for Responsible Ranking Design. - Yifan Guan; Abolfazl Asudeh; Pranav Mayuram; H. V. Jagadish; Julia Stoyanovich; Gerome Miklau; Gautam Das 001 (SIGMOD Conference, 2019)

Responsible Scoring Mechanisms Through Function Sampling. - Abolfazl Asudeh; H. V. Jagadish (CoRR, 2019)

Towards Responsible Data-driven Decision Making in Score-Based Systems. - Abolfazl Asudeh; H. V. Jagadish; Julia Stoyanovich (IEEE Data Eng. Bull., 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 001 (Proc. VLDB Endow., 2019)

A Unified Optimization Algorithm For Solving "Regret-Minimizing Representative" Problems. - Suraj Shetiya; Abolfazl Asudeh; Sadia Ahmed; Gautam Das 001 (Proc. VLDB Endow., 2019)

Efficient Signal Reconstruction for a Broad Range of Applications. - Abolfazl Asudeh; Jees Augustine; Azade Nazi; Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001; Divesh Srivastava (SIGMOD Rec., 2019)

MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness. - Zhongjun Jin; Mengjing Xu; Chenkai Sun; Abolfazl Asudeh; H. V. Jagadish (SIGMOD Conference, 2020)

Fair Active Learning. - Hadis Anahideh; Abolfazl Asudeh (CoRR, 2020)

Maximizing coverage while ensuring fairness: a tale of conflicting objective. - Abolfazl Asudeh; Tanya Y. Berger-Wolf; Bhaskar DasGupta; Anastasios Sidiropoulos (CoRR, 2020)

MithraDetective: A System for Cherry-picked Trendlines Detection. - Yoko Nagafuchi; Yin Lin; Kaushal Mamgain; Abolfazl Asudeh; H. V. Jagadish; You Wu 001; Cong Yu 001 (CoRR, 2020)

Fairly Evaluating and Scoring Items in a Data Set. - Abolfazl Asudeh; H. V. Jagadish (Proc. VLDB Endow., 2020)

On Detecting Cherry-picked Trendlines. - Abolfazl Asudeh; H. V. Jagadish; You Wu 001; Cong Yu 001 (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 004; Gautam Das 001; Divesh Srivastava (Proc. VLDB Endow., 2020)

Identifying Insufficient Data Coverage in Databases with Multiple Relations. - Yin Lin; Yifan Guan; Abolfazl Asudeh; H. V. Jagadish (Proc. VLDB Endow., 2020)

Scalable algorithms for signal reconstruction by leveraging similarity joins. - Abolfazl Asudeh; Jees Augustine; Azade Nazi; Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001; Divesh Srivastava (VLDB J., 2020)

DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets. - Matteo Corain; Paolo Garza; Abolfazl Asudeh (ICDE, 2021)

Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes. - Abolfazl Asudeh; Nima Shahbazi; Zhongjun Jin; H. V. Jagadish (SIGMOD Conference, 2021)

OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning. - Hantian Zhang; Xu Chu 002; Abolfazl Asudeh; Shamkant B. Navathe (SIGMOD Conference, 2021)

FairRover: explorative model building for fair and responsible machine learning. - Hantian Zhang; Nima Shahbazi; Xu Chu 002; Abolfazl Asudeh (DEEM@SIGMOD, 2021)

Scalable signal reconstruction for a broad range of applications. - Abolfazl Asudeh; Jees Augustine; Saravanan Thirumuruganathan; Azade Nazi; Nan Zhang 004; Gautam Das 001; Divesh Srivastava (Commun. ACM, 2021)

On the Choice of Fairness: Finding Representative Fairness Metrics for a Given Context. - Hadis Anahideh; Nazanin Nezami; Abolfazl Asudeh (CoRR, 2021)

Perturbation-based Detection and Resolution of Cherry-picking. - Abolfazl Asudeh; You Wu 001; Cong Yu 001; H. V. Jagadish (IEEE Data Eng. Bull., 2021)

Tailoring Data Source Distributions for Fairness-aware Data Integration. - Fatemeh Nargesian; Abolfazl Asudeh; H. V. Jagadish (Proc. VLDB Endow., 2021)

Fairness-Aware Range Queries for Selecting Unbiased Data. - Suraj Shetiya; Ian P. Swift; Abolfazl Asudeh; Gautam Das 001 (ICDE, 2022)

Responsible Data Integration: Next-generation Challenges. - Fatemeh Nargesian; Abolfazl Asudeh; H. V. Jagadish (SIGMOD Conference, 2022)

A Survey on Techniques for Identifying and Resolving Representation Bias in Data. - Nima Shahbazi; Yin Lin; Abolfazl Asudeh; H. V. Jagadish (CoRR, 2022)

Data-Centric Distrust Quantification for Responsible AI: When Data-driven Outcomes Are Not Reliable. - Nima Shahbazi; Abolfazl Asudeh (CoRR, 2022)

Fair active learning. - Hadis Anahideh; Abolfazl Asudeh; Saravanan Thirumuruganathan (Expert Syst. Appl., 2022)

Towards Distribution-aware Query Answering in Data Markets. - Abolfazl Asudeh; Fatemeh Nargesian (Proc. VLDB Endow., 2022)

Maximizing Fair Content Spread via Edge Suggestion in Social Networks. - Ian P. Swift; Sana Ebrahimi; Azade Nova; Abolfazl Asudeh (Proc. VLDB Endow., 2022)

On Finding Rank Regret Representatives. - Abolfazl Asudeh; Gautam Das 001; H. V. Jagadish; Shangqi Lu; Azade Nazi; Yufei Tao 001; Nan Zhang 004; Jianwen Zhao (ACM Trans. Database Syst., 2022)

Maximizing Neutrality in News Ordering. - Rishi Advani; Paolo Papotti; Abolfazl Asudeh (KDD, 2023)

Next-generation Challenges of Responsible Data Integration. - Fatemeh Nargesian; Abolfazl Asudeh; H. V. Jagadish (WSDM, 2023)

FairPilot: An Explorative System for Hyperparameter Tuning through the Lens of Fairness. - Francesco Di Carlo; Nazanin Nezami; Hadis Anahideh; 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)

Sampling-Based Techniques for Training Deep Neural Networks with Limited Computational Resources: A Scalability Evaluation. - Sana Ebrahimi; Rishi Advani; Abolfazl Asudeh (CoRR, 2023)

Efficient Strongly Polynomial Algorithms for Quantile Regression. - Suraj Shetiya; Shohedul Hasan; Abolfazl Asudeh; Gautam Das 001 (CoRR, 2023)

A Fair and Memory/Time-efficient Hashmap. - Abolfazl Asudeh; Nima Shahbazi; Stavros Sintos (CoRR, 2023)

Online Maximum Independent Set of Hyperrectangles. - Rishi Advani; Abolfazl Asudeh (CoRR, 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 001; Shirin Nilizadeh (CoRR, 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)

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)

Maximizing Coverage While Ensuring Fairness: A Tale of Conflicting Objectives. - Abolfazl Asudeh; Tanya Y. Berger-Wolf; Bhaskar DasGupta; Anastasios Sidiropoulos (Algorithmica, 2023)

Data Coverage for Detecting Representation Bias in Image Datasets: A Crowdsourcing Approach. - Melika Mousavi; Nima Shahbazi; Abolfazl Asudeh (EDBT, 2024)

Shapley Values for Explanation in Two-sided Matching Applications. - Suraj Shetiya; Ian P. Swift; Abolfazl Asudeh; Gautam Das 001 (EDBT, 2024)

Axolotl: Fairness through Assisted Prompt Rewriting of Large Language Model Outputs. - Sana Ebrahimi; Kaiwen Chen; Abolfazl Asudeh; Gautam Das 001; Nick Koudas (ICKG, 2024)

REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models. - Sana Ebrahimi; Nima Shahbazi; Abolfazl Asudeh (NAACL-HLT (Findings), 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 (SIGMOD Conference Companion, 2024)

AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs. - Sana Ebrahimi; Kaiwen Chen; Abolfazl Asudeh; Gautam Das 001; Nick Koudas (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)

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks. - Mohsen Dehghankar; Abolfazl Asudeh (CoRR, 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)

Coverage-based Data-centric Approaches for Responsible and Trustworthy AI. - Nima Shahbazi; Mahdi Erfanian; Abolfazl Asudeh (IEEE Data Eng. Bull., 2024)

FairHash: A Fair and Memory/Time-efficient Hashmap. - Nima Shahbazi; Stavros Sintos; Abolfazl Asudeh (Proc. ACM Manag. Data, 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., 2024)

Reliability evaluation of individual predictions: a data-centric approach. - Nima Shahbazi; Abolfazl Asudeh (VLDB J., 2024)

FairEM360: A Suite for Responsible Entity Matching. - Nima Shahbazi; Mahdi Erfanian; Abolfazl Asudeh; Fatemeh Nargesian; Divesh Srivastava (Proc. VLDB Endow., 2024)

Data distribution tailoring revisited: cost-efficient integration of representative data. - Jiwon Chang; Bohan Cui; Fatemeh Nargesian; Abolfazl Asudeh; H. V. Jagadish (VLDB J., 2024)

Evaluating the Feasibility of Sampling-Based Techniques for Training Multilayer Perceptrons. - Sana Ebrahimi; Rishi Advani; Abolfazl Asudeh (EDBT, 2025)

Auditing Yelp's Business Ranking and Review Recommendation Through the Lens of Fairness. - Mohit Singhal; Javier Pacheco; Seyyed Mohammad Sadegh Moosavi Khorzooghi; Tanusree Debi; Abolfazl Asudeh; Gautam Das 001; Shirin Nilizadeh (ICWSM, 2025)

Fair Set Cover. - Mohsen Dehghankar; Rahul Raychaudhury; Stavros Sintos; Abolfazl Asudeh (KDD (1), 2025)

Finding representative group fairness metrics using correlation estimations. - Hadis Anahideh; Nazanin Nezami; Abolfazl Asudeh (Expert Syst. Appl., 2025)

Mining the Minoria: Unknown, Under-represented, and Under-performing Minority Groups. - Mohsen Dehghankar; Abolfazl Asudeh (Proc. VLDB Endow., 2025)

FairDeFace: Evaluating the Fairness and Adversarial Robustness of Face Obfuscation Methods. - Seyyed Mohammad Sadegh Moosavi Khorzooghi; Poojitha Thota; Mohit Singhal; Abolfazl Asudeh; Gautam Das 001; Shirin Nilizadeh (CoRR, 2025)

HENN: A Hierarchical Epsilon Net Navigation Graph for Approximate Nearest Neighbor Search. - Mohsen Dehghankar; Abolfazl Asudeh (CoRR, 2025)

Fair-Count-Min: Frequency Estimation under Equal Group-wise Approximation Factor. - Nima Shahbazi; Stavros Sintos; Abolfazl Asudeh (CoRR, 2025)

An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring. - Sana Ebrahimi; Mohsen Dehghankar; Abolfazl Asudeh (CoRR, 2025)

On Fair Epsilon Net and Geometric Hitting Set. - Mohsen Dehghankar; Stavros Sintos; Abolfazl Asudeh (CoRR, 2025)