Erhu He

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

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Extended Abstract

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Publications

Erhu He, Yiqun Xie, Weiye Chen, Sergii Skakun, Han Bao, Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia
Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou
Referee-Meta-Learning for Fast Adaptation of Locational Fairness. CoRR (2024)
Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization. CoRR (2024)
Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization. KDD (2024)
Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou
Referee-Meta-Learning for Fast Adaptation of Locational Fairness. AAAI (2024)
Erhu He, Yiqun Xie, Licheng Liu, Zhenong Jin, Dajun Zhang, Xiaowei Jia
Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features. SDM (2024)
Erhu He, Yiqun Xie, Alexander Sun, Jacob Zwart, Jie Yang, Zhenong Jin, Yang Wang, Hassan A. Karimi, Xiaowei Jia
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks. AAAI (2024)
Erhu He, Yue Wan, Benjamin H. Letcher, Jennifer H. Fair, Yiqun Xie, Xiaowei Jia
CGS: Coupled Growth and Survival Model with Cohort Fairness. IJCAI (2023)
Rahul Ghosh, Haoyu Yang, Ankush Khandelwal, Erhu He, Arvind Renganathan, Somya Sharma, Xiaowei Jia, Vipin Kumar
Entity Aware Modelling: A Survey. CoRR (2023)
Yiqun Xie, Weiye Chen, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
Harnessing heterogeneity in space with statistically guided meta-learning. Knowl. Inf. Syst. 65 (6) (2023)
Erhu He, Yiqun Xie, Licheng Liu, Weiye Chen, Zhenong Jin, Xiaowei Jia
Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction. AAAI (2023)
Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework. AAAI (2022)
Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract). IJCAI (2022)
Erhu He, Weiye Chen, Yiqun Xie, Han Bao, Xun Zhou, Xiaowei Jia, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
Sailing in the location-based fairness-bias sphere. SIGSPATIAL/GIS (2022)
Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. ICDM (2021)