Sample Selection for Fair and Robust Training (NeurIPS '21)

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FairBatch: Batch Selection for Model Fairness (ICLR '21)

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FR-Train: A Mutual Information-based Approach to Fair and Robust Training (ICML '20)

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XClusters: Explainability-first Clustering (AAAI '23)

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Open-world COVID-19 Data Visualization (DMAH@VLDB '20)

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Automated Data Slicing for Model Validation: A Big data - AI Integration Approach (IEEE TKDE '19)

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Slice Finder: Automated Data Slicing for Model Validation (IEEE ICDE '19)

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