研究兴趣
- 容错网络
- 流量工程
安全和可靠是网络的基础,在此之上我们追求高效和便捷。
- 大模型推理系统
任何产品和技术都需要不断降低成本才能发展。
论文出版
中国人何必为难中国人,我尽量做到每一篇论文都有中文版,每一篇论文的代码都公开。中文版没有经过校对,可能会有错别字和翻译不准确的情况,此时以英文版为准。
J. Hu, F. Li, M. Xu, F. Meng, S. Zhao, T. Hu, T. Peng, A. Liu, W. Huang, C. Liu, Z. Hua, T. Xie. Lil: Less is Less When Applying Post-Training Sparse-Attention Algorithms in Long-Decode Stage. arXiv preprint arXiv:2601.03043
[preprint]
H. Zhang, H. Dai, Y. Qu, C. Xiang, Y. Sui, S. Zhao, Z. Zheng, G. Chen. Deploying UAVs and Surveillance Cameras for Continuous Omnidirectional Monitoring, in IEEE Transactions on Mobile Computing, in press.
X. Song, J. Zheng, H. Qian, S. Zhao, H. Zhang, X. Pan, G. Chen. In Search of a Memory-Efficient Framework for Online Cardinality Estimation, in IEEE Transactions on Knowledge and Data Engineering, vol. 37, no. 1, pp. 392-407, Jan. 2025. [paper]
X. Song, J. Zheng, H. Qian, S. Zhao, H. Zhang, X. Pan, G. Chen. Couper: Memory-Efficient Cardinality Estimation under Unbalanced Distribution. 2023 IEEE 39th International Conference on Data Engineering (ICDE), Anaheim, CA, USA, 2023: 2753-276