ziyuye [at] uchicago.edu
I am a PhD student in Computer Science at The University of Chicago.
I work at Google's Gemini team as a student researcher, previously a research intern.
I work on large model post-training / self-training, and neural theorem proving.
I was the co-founder of Eigent AI, developed from Camel AI, with Guohao Li.
Reasoning in Reasoning
To release.
Understanding the Role of Equivariance in Self-supervised Learning
Yifei Wang, Kaiwen Hu, Sharut Gupta, Ziyu Ye, Yisen Wang, Stefanie Jegelka
NeurIPS, 2024
[ paper ]
Don’t Be Pessimistic Too Early: Look K Steps Ahead!
Chaoqi Wang, Ziyu Ye, Kevin Murphy, Yuxin Chen
AISTATS, 2023
[ paper ]
[ slides ]
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts
Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru, Haifeng Xu
NeurIPS, 2023
[ paper ]
[ slides ]
Provably Efficient Quantum Algorithms for Large-Scale Machine Learning Models
Junyu Liu, Minzhao Liu, Jin-Peng Liu, Ziyu Ye, Yuri Alexeev, Jens Eisert, Liang Jiang
Nature Communications, 2023
[ paper ]
[ code ]
Generalization and Memorization in Sparse Neural Networks
Ziyu Ye, Chaoqi Wang, Zixin Ding, Yuxin Chen
Sparsity in Neural Networks Workshop, 2022
[ code ]
[ blog ]
Understanding the Effect of Bias in Deep Anomaly Detection
Ziyu Ye, Yuxin Chen, Heather Zheng
IJCAI, 2021
[ paper ]
[ slides ]
[ code ]