He, Erhu

7 publications

AAAI 2025 Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks Erhu He, Declan Kutscher, Yiqun Xie, Jacob Zwart, Zhe Jiang, Huaxiu Yao, Xiaowei Jia

AAAI 2024 Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks Erhu He, Yiqun Xie, Alexander Y. Sun, Jacob Zwart, Jie Yang, Zhenong Jin, Yang Wang, Hassan A. Karimi, Xiaowei Jia

AAAI 2024 Referee-Meta-Learning for Fast Adaptation of Locational Fairness Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou

IJCAI 2023 CGS: Coupled Growth and Survival Model with Cohort Fairness Erhu He, Yue Wan, Benjamin H. Letcher, Jennifer H. Fair, Yiqun Xie, Xiaowei Jia

AAAI 2023 Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction Erhu He, Yiqun Xie, Licheng Liu, Weiye Chen, Zhenong Jin, Xiaowei Jia

AAAI 2022 Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-Level Learning Framework Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam

IJCAI 2022 Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract) Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam