Ziang Song

According to our database, Ziang Song authored at least 9 papers between 2022 and 2024.

Collaborative distances:

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

2024

Enhanced Performance of Measurement-device-independent Quantum Key Distribution over Turbulent Channels through Adaptive Optics.

Guoqi Huang, Ziang Song, Qin Dong, Wei Cui, Mingyuan Sun, Rongzhen Jiao

Quantum Inf. Process., March, 2024

Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances.

Jiangfei Duan, Ziang Song, Xupeng Miao, Xiaoli Xi, Dahua Lin, Harry Xu, Minjia Zhang, Zhihao Jia

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

2023

Reward Collapse in Aligning Large Language Models.

Ziang Song, Tianle Cai, Jason D. Lee, Weijie J. Su

CoRR, 2023

2022

Satellite-based phase-matching quantum key distribution.

Wei Cui, Ziang Song, Guoqi Huang, Rongzhen Jiao

Quantum Inf. Process., 2022

Efficient Φ-Regret Minimization in Extensive-Form Games via Online Mirror Descent.

Yu Bai, Chi Jin, Song Mei, Ziang Song, Tiancheng Yu

CoRR, 2022

Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games.

Ziang Song, Song Mei, Yu Bai

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

Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent.

Yu Bai, Chi Jin, Song Mei, Ziang Song, Tiancheng Yu

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

Learn To Remember: Transformer with Recurrent Memory for Document-Level Machine Translation.

Yukun Feng, Feng Li, Ziang Song, Boyuan Zheng, Philipp Koehn

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently?

Ziang Song, Song Mei, Yu Bai

Proceedings of the Tenth International Conference on Learning Representations, 2022