Robust Hidden Topology Identification in Distribution Systems. - Haoran Li 005; Yang Weng; Yizheng Liao; Brian Keel; Kenneth E. Brown (CoRR, 2019)

Heterogeneous Transfer Learning on Power Systems: A Merged Multi-Modal Gaussian Graphical Model. - Haoran Li 005; Yang Weng; Hanghang Tong (ICDM, 2020)

Physical Equation Discovery Using Physics-Consistent Neural Network (PCNN) Under Incomplete Observability. - Haoran Li 005; Yang Weng (KDD, 2021)

The Powerful Use of AI in the Energy Sector: Intelligent Forecasting. - Erik Blasch; Haoran Li 005; Zhihao Ma; Yang Weng (CoRR, 2021)

Domain Adaptation in Physical Systems via Graph Kernel. - Haoran Li 005; Hanghang Tong; Yang Weng (KDD, 2022)

CoNSoLe: Convex Neural Symbolic Learning. - Haoran Li 005; Yang Weng; Hanghang Tong (NeurIPS, 2022)

PIX-GAN: Enhance Physics-Informed Estimation via Generative Adversarial Network. - Haoran Li 005; Yang Weng (ICDM, 2023)

Distribution Grid Topology and Parameter Estimation Using Deep-Shallow Neural Network With Physical Consistency. - Haoran Li 005; Yang Weng; Vijay Vittal; Erik Blasch (IEEE Trans. Smart Grid, 2024)

Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements. - Haoran Li 005; Muhao Guo; Yang Weng; Hanghang Tong (CoRR, 2025)