6 citations · 18 across the 6 of their papers we have counts for
7 papers
Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime
Junfan Chen, Richong Zhang, Zheyan Luo +2
Data augmentation is widely used in text classification, especially in the low-resource regime where a few examples for each class are available during training. Despite the succes…
Hardware-Aware Graph Neural Network Automated Design for Edge Computing Platforms
Ao Zhou, Jianlei Yang, Yingjie Qi +4
Graph neural networks (GNNs) have emerged as a popular strategy for handling non-Euclidean data due to their state-of-the-art performance. However, most of the current GNN model de…
Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs
Yuankai Luo, Lei Shi, Mufan Xu +4
Quantitatively profiling a scholar's scientific impact is important to modern research society. Current practices with bibliometric indicators (e.g., h-index), lists, and networks…
Optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms
Ao Zhou, Jianlei Yang, Yeqi Gao +7
Graph neural networks (GNN) have achieved state-of-the-art performance on various industrial tasks. However, the poor efficiency of GNN inference and frequent Out-Of-Memory (OOM) p…
One-Pass Trajectory Simplification Using the Synchronous Euclidean Distance
Xuelian Lin, Jiahao Jiang, Shuai Ma +2
Various mobile devices have been used to collect, store and transmit tremendous trajectory data, and it is known that raw trajectory data seriously wastes the storage, network band…
Graph Pattern Matching for Dynamic Team Formation
Shuai Ma, Jia Li, Chunming Hu +2
Finding a list of k teams of experts, referred to as top-k team formation, with the required skills and high collaboration compatibility has been extensively studied. However, exis…