39 citations · 67 across the 7 of their papers we have counts for
9 papers
ShapeCond: Fast Shapelet-Guided Dataset Condensation for Time Series Classification
Sijia Peng, Yun Xiong, Xi Chen +5
Time series data supports many domains (e.g., finance and climate science), but its rapid growth strains storage and computation. Dataset condensation can alleviate this by synthes…
TripleWin: Fixed-Point Equilibrium Pricing for Data-Model Coupled Markets
Hongrun Ren, Yun Xiong, Lei You +3
The rise of the machine learning (ML) model economy has intertwined markets for training datasets and pre-trained models. However, most pricing approaches still separate data and m…
Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need
Sijia Peng, Yun Xiong, Yangyong Zhu +1
Time series forecasting requires balancing short-term and long-term dependencies for accurate predictions. Existing methods mainly focus on long-term dependency modeling, neglectin…
RDGSL: Dynamic Graph Representation Learning with Structure Learning
Siwei Zhang, Yun Xiong, Yao Zhang +4
Temporal Graph Networks (TGNs) have shown remarkable performance in learning representation for continuous-time dynamic graphs. However, real-world dynamic graphs typically contain…
CLARE: A Semi-supervised Community Detection Algorithm
Xixi Wu, Yun Xiong, Yao Zhang +5
Community detection refers to the task of discovering closely related subgraphs to understand the networks. However, traditional community detection algorithms fail to pinpoint a p…
Triangle Graph Interest Network for Click-through Rate Prediction
Wensen Jiang, Yizhu Jiao, Qingqin Wang +6
Click-through rate prediction is a critical task in online advertising. Currently, many existing methods attempt to extract user potential interests from historical click behavior…