Youpeng Zhao

Orcid: 0000-0002-4610-3545

According to our database1, Youpeng Zhao authored at least 14 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching.
CoRR, 2024

Merino: Entropy-driven Design for Generative Language Models on IoT Devices.
CoRR, 2024

2023
Improving Deep Reinforcement Learning With Mirror Loss.
IEEE Trans. Games, September, 2023

DanZero+: Dominating the GuanDan Game through Reinforcement Learning.
CoRR, 2023

Multi-Agent First Order Constrained Optimization in Policy Space.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Q-SAT: Value Factorization with Self-Attention for Deep Multi-Agent Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

Parameter-Efficient Vision Transformer with Linear Attention.
Proceedings of the IEEE International Conference on Image Processing, 2023

Class-Aware Contextual Information for Semantic Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023

DanZero: Mastering GuanDan Game with Reinforcement Learning.
Proceedings of the IEEE Conference on Games, 2023

2022
Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents.
Frontiers Inf. Technol. Electron. Eng., 2022

Lightweight Vision Transformer with Cross Feature Attention.
CoRR, 2022

Semi-Supervised Segmentation of Mitochondria from Electron Microscopy Images Using Spatial Continuity.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

DouZero+: Improving DouDizhu AI by Opponent Modeling and Coach-guided Learning.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2019
Research on a Visual Sensing and Tracking System for Distance Education.
Int. J. Emerg. Technol. Learn., 2019


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