Vulnerability Analysis for Data Driven Pricing Schemes. - Jingshi Cui; Haoxiang Wang 006; Chenye Wu; Yang Yu 011 (CoRR, 2019)

Understanding Differential Privacy in Non-Intrusive Load Monitoring. - Haoxiang Wang 006; Chenyu Wu (e-Energy, 2020)

Robust Data-driven Profile-based Pricing Schemes. - Jingshi Cui; Haoxiang Wang 006; Chenye Wu; Yang Yu 011 (ISGT, 2021)

Privacy Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective. - Haoxiang Wang 006; Jiasheng Zhang; Chenbei Lu; Chenye Wu (IEEE Trans. Smart Grid, 2021)

Optimal green certificate auction design embedding economic dispatch. - Haoxiang Wang 006; Chenye Wu (e-Energy, 2022)

Noise Injection Free Privacy Preserving Energy Consumption Profiling. - Jiahao Zhang; Haoxiang Wang 006; Chenye Wu (iSPEC, 2023)

Federated Learning with Classifier Shift for Class Imbalance. - Yunheng Shen; Haoxiang Wang 006; Hairong Lv (CoRR, 2023)

Privacy Preservation for Time Series Data in the Electricity Sector. - Haoxiang Wang 006; Chenye Wu (IEEE Trans. Smart Grid, 2023)

Neural Physical Simulation with Multi-Resolution Hash Grid Encoding. - Haoxiang Wang 006; Tao Yu 007; Tianwei Yang; Hui Qiao; Qionghai Dai (AAAI, 2024)

Asynchronous Training Schemes in Distributed Learning with Time Delay. - Haoxiang Wang 006; Zhanhong Jiang; Chao Liu 028; Soumik Sarkar; Dongxiang Jiang; Young M. Lee (Trans. Mach. Learn. Res., 2024)

Privacy Preserving User Energy Consumption Profiling: From Theory to Application. - Chenbei Lu; Jingshi Cui; Haoxiang Wang 006; Hongyu Yi; Chenye Wu (IEEE Trans. Smart Grid, 2024)

Neural Fluid Simulation on Geometric Surfaces. - Haoxiang Wang 006; Tao Yu 007; Hui Qiao; Qionghai Dai (ICLR, 2025)

ImmersiveNeRF: Hybrid Radiance Fields for Unbounded Immersive Light Field Reconstruction. - Xiaohang Yu; Haoxiang Wang 006; Yuqi Han; Lei Yang 045; Tao Yu 007; Qionghai Dai (IEEE Trans. Vis. Comput. Graph., 2025)