13 citations · 30 across the 7 of their papers we have counts for
7 papers
GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database
Weixing Zhou, Qi Peng, Zijie Zhang +11
Multinational enterprises conduct global business that has a demand for geo-distributed transactional databases. Existing state-of-the-art databases adopt a sharded master-follower…
Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph
Song Yu, Shufeng Gong, Yanfeng Zhang +7
Real-world graphs are constantly evolving, which demands updates of the previous analysis results to accommodate graph changes. By using the memoized previous computation state, in…
HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management
Qiange Wang, Xin Ai, Yanfeng Zhang +2
Processing large graphs with memory-limited GPU needs to resolve issues of host-GPU data transfer, which is a key performance bottleneck. Existing GPU-accelerated graph processing…
MxPool: Multiplex Pooling for Hierarchical Graph Representation Learning
Yanyan Liang, Yanfeng Zhang, Dechao Gao +1
How to utilize deep learning methods for graph classification tasks has attracted considerable research attention in the past few years. Regarding graph classification tasks, the g…
GANCoder: An Automatic Natural Language-to-Programming Language Translation Approach based on GAN
Yabing Zhu, Yanfeng Zhang, Huili Yang +1
We propose GANCoder, an automatic programming approach based on Generative Adversarial Networks (GAN), which can generate the same functional and logical programming language codes…
Clustering Stream Data by Exploring the Evolution of Density Mountain
Shufeng Gong, Yanfeng Zhang, Ge Yu
Stream clustering is a fundamental problem in many streaming data analysis applications. Comparing to classical batch-mode clustering, there are two key challenges in stream cluste…
i2MapReduce: Incremental MapReduce for Mining Evolving Big Data
Yanfeng Zhang, Shimin Chen, Qiang Wang +1
As new data and updates are constantly arriving, the results of data mining applications become stale and obsolete over time. Incremental processing is a promising approach to refr…