Rashidul Islam

According to our database, Rashidul Islam authored at least 23 papers between 2017 and 2025.

Collaborative distances:

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

2025

Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization.

Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Mingliang Xu, Jundong Li, Yiwei Cai

CoRR, January, 2025

2024

Visualizing Uncertainty with Simulated Chromatic Aberration.

Rashidul Islam, Stephen Brooks

J. Percept. Imaging, 2024

Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness.

Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr

Proceedings of the ACM on Web Conference 2024, 2024

Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization.

Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Minghua Xu, Jundong Li, Yiwei Cai

Proceedings of the IEEE International Conference on Data Mining, 2024

Fair Inference for Discrete Latent Variable Models: An Intersectional Approach.

Rashidul Islam, Shimei Pan, James R. Foulds

Proceedings of the 2024 International Conference on Information Technology for Social Good, 2024

Fairness without Demographics through Shared Latent Space-Based Debiasing.

Rashidul Islam, Huiyuan Chen, Yiwei Cai

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

When Biased Humans Meet Debiased AI: A Case Study in College Major Recommendation.

Clarice Wang, Kathryn Wang, Andrew Bian, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Shimei Pan

ACM Trans. Interact. Intell. Syst., September, 2023

Differential Fairness: An Intersectional Framework for Fair AI.

Rashidul Islam, Kamrun Naher Keya, Shimei Pan, Anand D. Sarwate, James R. Foulds

Entropy, April, 2023

2022

Fair Inference for Discrete Latent Variable Models.

Rashidul Islam, Shimei Pan, James R. Foulds

CoRR, 2022

Framework for Behavioral Disorder Detection Using Machine Learning and Application of Virtual Cognitive Behavioral Therapy in COVID-19 Pandemic.

Tasnim Niger, Hasanur Rayhan, Rashidul Islam, Kazi Asif Abdullah Noor, Kamrul Hasan

CoRR, 2022

Do Humans Prefer Debiased AI Algorithms? A Case Study in Career Recommendation.

Clarice Wang, Kathryn Wang, Andrew Bian, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Shimei Pan

Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

2021

Bias: Friend or Foe? User Acceptance of Gender Stereotypes in Automated Career Recommendations.

Clarice Wang, Kathryn Wang, Andrew Bian, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Shimei Pan

CoRR, 2021

Debiasing Career Recommendations with Neural Fair Collaborative Filtering.

Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng, Shimei Pan, James R. Foulds

Proceedings of the WWW '21: The Web Conference 2021, 2021

Equitable Allocation of Healthcare Resources with Fair Survival Models.

Kamrun Naher Keya, Rashidul Islam, Shimei Pan, Ian Stockwell, James R. Foulds

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Fair Representation Learning for Heterogeneous Information Networks.

Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Yangqiu Song, Shimei Pan

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Can We Obtain Fairness For Free?

Rashidul Islam, Shimei Pan, James R. Foulds

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Equitable Allocation of Healthcare Resources with Fair Cox Models.

Kamrun Naher Keya, Rashidul Islam, Shimei Pan, Ian Stockwell, James R. Foulds

CoRR, 2020

Neural Fair Collaborative Filtering.

Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng, Shimei Pan, James R. Foulds

CoRR, 2020

Bayesian Modeling of Intersectional Fairness: The Variance of Bias.

James R. Foulds, Rashidul Islam, Kamrun Naher Keya, Shimei Pan

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

An Intersectional Definition of Fairness.

James R. Foulds, Rashidul Islam, Kamrun Naher Keya, Shimei Pan

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Scalable Collapsed Inference for High-Dimensional Topic Models.

Rashidul Islam, James R. Foulds

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

MPT: Multiple Parallel Tempering for High-Throughput MCMC Samplers.

Morteza Hosseini, Rashidul Islam, Lahir Marni, Tinoosh Mohsenin

Proceedings of the 31st IEEE International System-on-Chip Conference, 2018

2017

A Scalable FPGA-Based Accelerator for High-Throughput MCMC Algorithms.

Morteza Hosseini, Rashidul Islam, Amey M. Kulkarni, Tinoosh Mohsenin

Proceedings of the 25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2017