Ziang Song

Orcid: 0000-0001-6273-4286

According to our database1, Ziang Song authored at least 13 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
3D Geometry Modeling and Safety Compliance Assessment of In-Service Roads Using Massive LiDAR Point Clouds.
IEEE Trans. Intell. Transp. Syst., June, 2024

Enhanced Performance of Measurement-device-independent Quantum Key Distribution over Turbulent Channels through Adaptive Optics.
Quantum Inf. Process., March, 2024

SeismicTransformer: An attention-based deep learning method for the simulation of seismic wavefields.
Comput. Geosci., 2024

EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis.
Frontiers Neuroinformatics, 2024

MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router.
CoRR, 2024

Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances.
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

2023
Reward Collapse in Aligning Large Language Models.
CoRR, 2023

2022
Satellite-based phase-matching quantum key distribution.
Quantum Inf. Process., 2022

Efficient Φ-Regret Minimization in Extensive-Form Games via Online Mirror Descent.
CoRR, 2022

Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games.
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.
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.
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?
Proceedings of the Tenth International Conference on Learning Representations, 2022


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