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Ziang Song
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2020 – today
- 2024
- [j5]Jianwei Shi, Xun Gong, Ziang Song, Wenkai Xie, Yanfeng Yang, Xiangjie Sun, Penghu Wei, Changming Wang, Guoguang Zhao:
EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis. Frontiers Neuroinformatics 18 (2024) - [j4]Yanjin Xiang, Zhiliang Wang, Ziang Song, Rong Huang, Guojie Song, Fan Min:
SeismicTransformer: An attention-based deep learning method for the simulation of seismic wavefields. Comput. Geosci. 190: 105629 (2024) - [j3]Guoqi Huang, Ziang Song, Qin Dong, Wei Cui, Mingyuan Sun, Rongzhen Jiao:
Enhanced Performance of Measurement-device-independent Quantum Key Distribution over Turbulent Channels through Adaptive Optics. Quantum Inf. Process. 23(3): 68 (2024) - [j2]Jin Wang, Qi Si, Ziang Song, Duo Wang, Hui Yao:
3D Geometry Modeling and Safety Compliance Assessment of In-Service Roads Using Massive LiDAR Point Clouds. IEEE Trans. Intell. Transp. Syst. 25(6): 4977-4986 (2024) - [c5]Jiangfei Duan, Ziang Song, Xupeng Miao, Xiaoli Xi, Dahua Lin, Harry Xu, Minjia Zhang, Zhihao Jia:
Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances. NSDI 2024 - [i7]Jiangfei Duan, Ziang Song, Xupeng Miao, Xiaoli Xi, Dahua Lin, Harry Xu, Minjia Zhang, Zhihao Jia:
Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances. CoRR abs/2403.14097 (2024) - [i6]Yanyue Xie, Zhi Zhang, Ding Zhou, Cong Xie, Ziang Song, Xin Liu, Yanzhi Wang, Xue Lin, An Xu:
MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router. CoRR abs/2410.12013 (2024) - 2023
- [i5]Ziang Song, Tianle Cai, Jason D. Lee, Weijie J. Su:
Reward Collapse in Aligning Large Language Models. CoRR abs/2305.17608 (2023) - 2022
- [j1]Wei Cui, Ziang Song, Guoqi Huang, Rongzhen Jiao:
Satellite-based phase-matching quantum key distribution. Quantum Inf. Process. 21(9): 313 (2022) - [c4]Ziang Song, Song Mei, Yu Bai:
When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently? ICLR 2022 - [c3]Yukun Feng, Feng Li, Ziang Song, Boyuan Zheng, Philipp Koehn:
Learn To Remember: Transformer with Recurrent Memory for Document-Level Machine Translation. NAACL-HLT (Findings) 2022: 1409-1420 - [c2]Yu Bai, Chi Jin, Song Mei, Ziang Song, Tiancheng Yu:
Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent. NeurIPS 2022 - [c1]Ziang Song, Song Mei, Yu Bai:
Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games. NeurIPS 2022 - [i4]Yukun Feng, Feng Li, Ziang Song, Boyuan Zheng, Philipp Koehn:
Learn To Remember: Transformer with Recurrent Memory for Document-Level Machine Translation. CoRR abs/2205.01546 (2022) - [i3]Ziang Song, Song Mei, Yu Bai:
Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games. CoRR abs/2205.07223 (2022) - [i2]Yu Bai, Chi Jin, Song Mei, Ziang Song, Tiancheng Yu:
Efficient Φ-Regret Minimization in Extensive-Form Games via Online Mirror Descent. CoRR abs/2205.15294 (2022) - 2021
- [i1]Ziang Song, Song Mei, Yu Bai:
When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently? CoRR abs/2110.04184 (2021)
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last updated on 2024-11-25 23:43 CET by the dblp team
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