A Scalable FPGA-Based Accelerator for High-Throughput MCMC Algorithms. - Morteza Hosseini; Rashidul Islam; Amey M. Kulkarni; Tinoosh Mohsenin (FCCM, 2017)

MPT: Multiple Parallel Tempering for High-Throughput MCMC Samplers. - Morteza Hosseini; Rashidul Islam; Lahir Marni; Tinoosh Mohsenin (SoCC, 2018)

Scalable Collapsed Inference for High-Dimensional Topic Models. - Rashidul Islam; James R. Foulds (NAACL-HLT (1), 2019)

An Intersectional Definition of Fairness. - James R. Foulds; Rashidul Islam; Kamrun Naher Keya; Shimei Pan (ICDE, 2020)

Bayesian Modeling of Intersectional Fairness: The Variance of Bias. - James R. Foulds; Rashidul Islam; Kamrun Naher Keya; Shimei Pan (SDM, 2020)

Neural Fair Collaborative Filtering. - Rashidul Islam; Kamrun Naher Keya; Ziqian Zeng; Shimei Pan; James R. Foulds (CoRR, 2020)

Equitable Allocation of Healthcare Resources with Fair Cox Models. - Kamrun Naher Keya; Rashidul Islam; Shimei Pan; Ian Stockwell; James R. Foulds (CoRR, 2020)

Can We Obtain Fairness For Free? - Rashidul Islam; Shimei Pan; James R. Foulds (AIES, 2021)

Fair Representation Learning for Heterogeneous Information Networks. - Ziqian Zeng; Rashidul Islam; Kamrun Naher Keya; James R. Foulds; Yangqiu Song; Shimei Pan (ICWSM, 2021)

Equitable Allocation of Healthcare Resources with Fair Survival Models. - Kamrun Naher Keya; Rashidul Islam; Shimei Pan; Ian Stockwell; James R. Foulds (SDM, 2021)

Debiasing Career Recommendations with Neural Fair Collaborative Filtering. - Rashidul Islam; Kamrun Naher Keya; Ziqian Zeng; Shimei Pan; James R. Foulds (WWW, 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)

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 (IUI, 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)

Fair Inference for Discrete Latent Variable Models. - Rashidul Islam; Shimei Pan; James R. Foulds (CoRR, 2022)

Differential Fairness: An Intersectional Framework for Fair AI. - Rashidul Islam; Kamrun Naher Keya; Shimei Pan; Anand D. Sarwate; James R. Foulds (Entropy, 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., 2023)

Fairness without Demographics through Shared Latent Space-Based Debiasing. - Rashidul Islam; Huiyuan Chen; Yiwei Cai (AAAI, 2024)

Fair Inference for Discrete Latent Variable Models: An Intersectional Approach. - Rashidul Islam; Shimei Pan; James R. Foulds (GoodIT, 2024)

Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization. - Song Wang 013; Xiaodong Yang; Rashidul Islam; Huiyuan Chen; Minghua Xu 003; Jundong Li; Yiwei Cai (ICDM, 2024)

Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. - Yuying Zhao; Minghua Xu 003; Huiyuan Chen; Yuzhong Chen; Yiwei Cai; Rashidul Islam; Yu Wang 160; Tyler Derr (WWW, 2024)

Visualizing Uncertainty with Simulated Chromatic Aberration. - Rashidul Islam; Stephen Brooks (J. Percept. Imaging, 2024)

Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization. - Song Wang 013; Xiaodong Yang; Rashidul Islam; Huiyuan Chen; Mingliang Xu 001; Jundong Li; Yiwei Cai (CoRR, 2025)