Muhao Guo

According to our database, Muhao Guo authored at least 16 papers between 2023 and 2026.

Collaborative distances:

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

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

2025

Cross-Domain Generalization of Multimodal LLMs for Global Photovoltaic Assessment.

Muhao Guo, Yang Weng

CoRR, November, 2025

M²OE²-GL: A Family of Probabilistic Load Forecasters That Scales to Massive Customers.

Haoran Li, Zhe Cheng, Muhao Guo, Yang Weng, Yannan Sun, Victor Tran, John Chainaranont

CoRR, November, 2025

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

Muhao Guo, Haoran Li, Yang Weng

CoRR, October, 2025

From Imperfect Signals to Trustworthy Structure: Confidence-Aware Inference from Heterogeneous and Reliability-Varying Utility Data.

Haoran Li, Lihao Mai, Muhao Guo, Jiaqi Wu, Yang Weng, Yannan Sun, Ce Jimmy Liu

CoRR, August, 2025

Solar Photovoltaic Assessment with Large Language Model.

Muhao Guo, Yang Weng

CoRR, July, 2025

Graph Structure Learning with Privacy Guarantees for Open Graph Data.

Muhao Guo, Jiaqi Wu, Yang Weng, Yizheng Liao, Shengzhe Chen

CoRR, July, 2025

External Data-Enhanced Meta-Representation for Adaptive Probabilistic Load Forecasting.

Haoran Li, Muhao Guo, Marija Ilic, Yang Weng, Guangchun Ruan

CoRR, June, 2025

ExARNN: An Environment-Driven Adaptive RNN for Learning Non-Stationary Power Dynamics.

Haoran Li, Muhao Guo, Yang Weng, Marija Ilic, Guangchun Ruan

CoRR, May, 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

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

Muhao Guo, Haoran Li, Yang Weng

Proceedings of the International Joint Conference on Neural Networks, 2025

Rethinking Invertible Neural Networks: Architecture Tradeoffs and Customization Across Domains.

Jingyi Yuan, Muhao Guo, Yang Weng

Proceedings of the IEEE International Conference on Data Mining, 2025

Modeling Time Series Dynamics with Fourier Ordinary Differential Equations.

Muhao Guo, Yang Weng

Proceedings of the 2025 IEEE International Conference on Knowledge Graph (ICKG), 2025

2024

Bayesian Iterative Prediction and Lexical-based Interpretation for Disturbed Chinese Sentence Pair Matching.

Muzhe Guo, Muhao Guo, Juntao Su, Junyu Chen, Jiaqian Yu, Jiaqi Wang, Hongfei Du, Parmanand Sahu, Ashwin Assysh Sharma, Fang Jin

Proceedings of the ACM on Web Conference 2024, 2024

2023

MSQ-BioBERT: Ambiguity Resolution to Enhance BioBERT Medical Question-Answering.

Muzhe Guo, Muhao Guo, Edward T. Dougherty, Fang Jin

Proceedings of the ACM Web Conference 2023, 2023

Continuous Variational Quantum Algorithms for Time Series.

Muhao Guo, Yang Weng, Lili Ye, Ying-Cheng Lai

Proceedings of the International Joint Conference on Neural Networks, 2023