Erhu He

A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity

Yiqun Xie, Erhu He, Xiaowei Jia et al. · 2021 IEEE International Conference on Data Mining (ICDM) · 2021 · 37 citations

Spatiotemporal Diagnostics, Machine Learning, Data Science +14

Fairness by “Where”: A Statistically-Robust and Model-Agnostic Bi-level Learning Framework

Yiqun Xie, Erhu He, Xiaowei Jia et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2022 · 22 citations · Full text

Engineering, Machine Learning, Discrimination +17

Sailing in the location-based fairness-bias sphere

Erhu He, Yiqun Xie, Xiaowei Jia et al. · Proceedings of the 30th International Conference on Advances in Geographic Information Systems · 2022 · 11 citations

Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction

Erhu He, Yiqun Xie, Licheng Liu et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2023 · 11 citations · Full text

Harnessing heterogeneity in space with statistically guided meta-learning

Yiqun Xie, Weiye Chen, Erhu He et al. · Knowledge and Information Systems · 2023 · 10 citations · Full text