Haoran Li

According to our database, Haoran Li authored at least 14 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Predicting Power-System Dynamic Trajectories with Foundation Models.

Haoran Li, Lihao Mai, Chenhan Xiao, Erik Blasch, Yang Weng

CoRR, April, 2026

LASS-ODE: Scaling ODE Computations to Connect Foundation Models with Dynamical Physical Systems.

Haoran Li, Chenhan Xiao, Lihao Mai, Yang Weng, Erik Blasch

CoRR, February, 2026

Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements.

Haoran Li, Muhao Guo, Yang Weng, Hanghang Tong

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis.

Xinyu He, Chenhan Xiao, Haoran Li, Ruizhong Qiu, Zhe Xu, Yang Weng, Jingrui He, Hanghang Tong

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Efficient Manifold-Constrained Neural ODE for High-Dimensional Datasets.

Muhao Guo, Haoran Li, Yang Weng

CoRR, October, 2025

Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning.

Haoran Li, Chenhan Xiao, Muhao Guo, Yang Weng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Distribution Grid Topology and Parameter Estimation Using Deep-Shallow Neural Network With Physical Consistency.

Haoran Li, Yang Weng, Vijay Vittal, Erik Blasch

IEEE Trans. Smart Grid, January, 2024

2023

PIX-GAN: Enhance Physics-Informed Estimation via Generative Adversarial Network.

Haoran Li, Yang Weng

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

CoNSoLe: Convex Neural Symbolic Learning.

Haoran Li, Yang Weng, Hanghang Tong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Domain Adaptation in Physical Systems via Graph Kernel.

Haoran Li, Hanghang Tong, Yang Weng

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

The Powerful Use of AI in the Energy Sector: Intelligent Forecasting.

Erik Blasch, Haoran Li, Zhihao Ma, Yang Weng

CoRR, 2021

Physical Equation Discovery Using Physics-Consistent Neural Network (PCNN) Under Incomplete Observability.

Haoran Li, Yang Weng

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Heterogeneous Transfer Learning on Power Systems: A Merged Multi-Modal Gaussian Graphical Model.

Haoran Li, Yang Weng, Hanghang Tong

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Robust Hidden Topology Identification in Distribution Systems.

Haoran Li, Yang Weng, Yizheng Liao, Brian Keel, Kenneth E. Brown

CoRR, 2019