WeShap: Weak Supervision Source Evaluation with Shapley Values
Published in the 51st International Conference on Very Large Databases (VLDB), 2025
Evaluating the utility of weak supervision sources with Shapley values for efficient data annotation.
Publications
You can also find my articles on my Google Scholar profile.
Conference Papers
DataSculpt: Cost-Efficient Label Function Design via Prompting Large Language Models
Published in the 28th International Conference on Extending Database Technology (EDBT), 2025
Utilizing LLMs to generate cost-efficient labeling rules for data annotation.
ActiveDP: Bridging Active Learning and Data Programming
Published in the 27th International Conference on Extending Database Technology (EDBT), 2024
Combining weak supervision with active learning for accurate and efficient data annotation.
Estimating regression predictive distributions with sample networks
Published in the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023
Nonparametric uncertainty estimation for deep neural networks with sample network.
FILA: Online Auditing of Machine Learning Model Accuracy under Finite Labelling Budget
Published in the 2022 International Conference on Management of Data (SIGMOD), 2022
Efficient sampling methods for online model performance evaluation under class imbalanced settings.
Tenet: A framework for modeling tensor dataflow based on relation-centric notation
Published in the 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA), 2021
Modeling tensor dataflow in spatial architectures with a novel relation-centric notation.