Discovering Frequency Bursting Patterns in Temporal Graphs

no code implementations • 2023 IEEE 39th International Conference on Data Engineering (ICDE) 2023 • Qianzhen Zhang, Deke Guo, Xiang Zhao, Long Yuan, Lailong Luo

However, this method will result in huge search space since we need to check every possible time interval for a candidate pattern in the temporal graph.

Deep Intellectual Property Protection: A Survey

no code implementations • 28 Apr 2023 • Yuchen Sun, Tianpeng Liu, Panhe Hu, Qing Liao, Shaojing Fu, Nenghai Yu, Deke Guo, Yongxiang Liu, Li Liu

Deep Neural Networks (DNNs), from AlexNet to ResNet to ChatGPT, have made revolutionary progress in recent years, and are widely used in various fields.

FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond

1 code implementation • 19 Oct 2020 • Zhuo Su, Linpu Fang, Deke Guo, Dewen Hu, Matti Pietikäinen, Li Liu

Binary neural networks (BNNs), where both weights and activations are binarized into 1 bit, have been widely studied in recent years due to its great benefit of highly accelerated computation and substantially reduced memory footprint that appeal to the development of resource constrained devices.

Image Classification Quantization

Simultaneous Clustering and Optimization for Evolving Datasets

no code implementations • 4 Aug 2019 • Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin

Specifically, we propose a new variant of the alternating direction method of multipliers (ADMM) to solve this problem efficiently.

Clustering regression

Optimizing Bloom Filter: Challenges, Solutions, and Comparisons

no code implementations • 13 Apr 2018 • Lailong Luo, Deke Guo, Richard T. B. Ma, Ori Rottenstreich, Xueshan Luo

To this end, this survey provides an overview of BF and its variants, with an emphasis on the optimization techniques.

Data Structures and Algorithms