Mengfei Cao

According to our database, Mengfei Cao authored at least 13 papers between 2010 and 2026.

Collaborative distances:

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

2026

Time-Aware Prior Fitted Networks for Zero-Shot Forecasting with Exogenous Variables.

Andres Potapczynski, Ravi Kiran Selvam, Tatiana Konstantinova, Shankar Ramasubramanian, Malcolm Wolff, Kin G. Olivares, Ruijun Ma, Mengfei Cao, Michael W. Mahoney, Andrew Gordon Wilson, Boris N. Oreshkin, Dmitry Efimov

CoRR, March, 2026

Zero-shot Forecasting by Simulation Alone.

Boris N. Oreshkin, Mayank Jauhari, Ravi Kiran Selvam, Malcolm Wolff, Wenhao Pan, Shankar Ramasubramanian, Kin G. Olivares, Tatiana Konstantinova, Andres Potapczynski, Mengfei Cao, Dmitry Efimov, Michael W. Mahoney, Andrew Gordon Wilson

CoRR, January, 2026

2025

Forking-Sequences.

Willa Potosnak, Malcolm Wolff, Boris N. Oreshkin, Mengfei Cao, Michael W. Mahoney, Dmitry Efimov, Kin G. Olivares

CoRR, October, 2025

A Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models.

Kin G. Olivares, Malcolm Wolff, Tatiana Konstantinova, Shankar Ramasubramanian, Andrew Gordon Wilson, Andres Potapczynski, Willa Potosnak, Mengfei Cao, Boris N. Oreshkin, Dmitry Efimov

CoRR, September, 2025

SPADE-S: A Sparsity-Robust Foundational Forecaster.

Malcolm Wolff, Matthew Li, Ravi Kiran Selvam, Hanjing Zhu, Kin G. Olivares, Ruijun Ma, Abhinav Katoch, Shankar Ramasubramanian, Mengfei Cao, Roberto Bandarra, Rahul Gopalsamy, Stefania La Vattiata, Sitan Yang, Michael M. Mahoney

CoRR, July, 2025

Research on the Applicability Evaluation of Green Technology Mode for Road Cold Chain Transportation Based on Fuzzy Hierarchical Comprehensive Evaluation Method.

Sicong Li, Jing Ye, Mengfei Cao

Proceedings of the 2025 4th International Conference on Big Data, 2025

2024

♣ CLOVER ♣: Probabilistic Forecasting with Coherent Learning Objective Reparameterization.

Kin G. Olivares, Geoffrey Négiar, Ruijun Ma, Oinam Nganba Meetei, Mengfei Cao, Michael W. Mahoney

Trans. Mach. Learn. Res., 2024

2023

Probabilistic Forecasting with Coherent Aggregation.

Geoffrey Négiar, Ruijun Ma, O. Nganba Meetei, Mengfei Cao, Michael W. Mahoney

CoRR, 2023

2021

Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures.

Kin G. Olivares, O. Nganba Meetei, Ruijun Ma, Rohan Reddy, Mengfei Cao

CoRR, 2021

2017

When should we NOT transfer functional annotation between sequence paralogs?

Mengfei Cao, Lenore J. Cowen

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

2014

New directions for diffusion-based network prediction of protein function: incorporating pathways with confidence.

Mengfei Cao, Christopher M. Pietras, Xian Feng, Kathryn J. Doroschak, Thomas Schaffner, Jisoo Park, Hao Zhang, Lenore J. Cowen, Benjamin J. Hescott

Bioinform., 2014

2012

Remote homology detection on alpha-structural proteins using simulated evolution.

Mengfei Cao, Lenore J. Cowen

Proceedings of the ACM International Conference on Bioinformatics, 2012

2010

Information system attribute reduction.

Shaobai Chen, Mengfei Cao, Xiaodan Chen

Proceedings of the Third International Workshop on Advanced Computational Intelligence, 2010