Mingyuan

About Me
I am a Ph.D. student researcher focusing on Machine Learning and Artificial Intelligence, having the honor to be advised by Prof. Shivani Agarwal at the University of Pennsylvania. Before joining Penn, I received B.S. degree from the University of Michigan in 2018 with four majors: (Honors) Mathematics, (Honors) Statistics, Computer Science and Data Science.

Consistent Multi‑Label Learning from Noisy Labels.
Mingyuan Zhang · Shivani Agarwal
Under review, 2024.

[5] Multiclass Learning from Noisy Labels for Non-decomposable Performance Measures.
Mingyuan Zhang · Shivani Agarwal
In Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.
[pdf][link]

On the Minimax Regret in Online Ranking with Top-k Feedback.
Mingyuan Zhang · Ambuj Tewari
Preprint, under review, 2023.
[pdf][link]

[4] Foreseeing the Benefits of Incidental Supervision
Hangfeng He · Mingyuan Zhang · Qiang Ning · Dan Roth
In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
Oral paper.
[pdf][link]

[3] Learning from Noisy Labels with No Change to the Training Process
Mingyuan Zhang · Jane Lee · Shivani Agarwal
In Proceedings of the 38th International Conference on Machine Learning (ICML), 2021.
[pdf][link]

[2] Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class
Mingyuan Zhang · Shivani Agarwal
In Advances in Neural Information Processing Systems (NeurIPS), 2020.
Spotlight paper.
[pdf][link]

[1] Convex Calibrated Surrogates for the Multi-Label F-Measure
Mingyuan Zhang · Harish G. Ramaswamy · Shivani Agarwal
In Proceedings of the 37th International Conference on Machine Learning (ICML), 2020.
[pdf][link]