Ziyu Liu

According to our database, Ziyu Liu authored at least 10 papers between 2018 and 2024.

Collaborative distances:

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

2024

On Fairness of Low-Rank Adaptation of Large Models.

Zhoujie Ding, Ken Ziyu Liu, Pura Peetathawatchai, Berivan Isik, Sanmi Koyejo

CoRR, 2024

Investigating Data Contamination for Pre-training Language Models.

Minhao Jiang, Ken Ziyu Liu, Ming Zhong, Rylan Schaeffer, Siru Ouyang, Jiawei Han, Sanmi Koyejo

CoRR, 2024

2023

Differentially Private Adaptive Optimization with Delayed Preconditioners.

Tian Li, Manzil Zaheer, Ken Liu, Sashank J. Reddi, Hugh Brendan McMahan, Virginia Smith

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Motley: Benchmarking Heterogeneity and Personalization in Federated Learning.

Shanshan Wu, Tian Li, Zachary Charles, Yu Xiao, Ken Ziyu Liu, Zheng Xu, Virginia Smith

CoRR, 2022

On Privacy and Personalization in Cross-Silo Federated Learning.

Ken Ziyu Liu, Shengyuan Hu, Steven Wu, Virginia Smith

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

Relationship Between Spatial Skills and Performance in Introductory Computer Graphics.

Ken Liu, Burkhard C. Wünsche, Andrew Luxton-Reilly

Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

Drone Brush: Mixed Reality Drone Path Planning.

Angelos Angelopoulos, Austin Hale, Husam Shaik, Akshay Paruchuri, Ken Liu, Randal Tuggle, Daniel Szafir

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

2021

The Skellam Mechanism for Differentially Private Federated Learning.

Naman Agarwal, Peter Kairouz, Ziyu Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation.

Peter Kairouz, Ziyu Liu, Thomas Steinke

Proceedings of the 38th International Conference on Machine Learning, 2021

2018

A Channel-Cascading Pedestrian Detection Network for Small-Size Pedestrians.

Jiaojiao He, Ken Liu, Yongping Zhang, Tuozhong Yao, Zhongjie Zhao, Jiangjian Xiao, Chengbin Peng

Proceedings of the Intelligence Science and Big Data Engineering, 2018