6 papers
RouteCost: A Production-Inspired Multi-Stage Framework for Pre-Order Shipping Cost Estimation in E-Commerce
Xianling Zeng, Zihan Yu, Sichen Zhao +2
Accurate pre-order shipping cost estimation is important in e-commerce because it affects price presentation, margin planning, and conversion. In practice, shipping cost is shaped…
Learning Burst-Aware Early Warning Models for Capacity Stress under AI Workload Surges in Hyperscale Data Centers
Zihan Yu, Xianling Zeng, Zhiming Xue +2
The rapid growth of large-scale AI workloads, particularly Large Language Model (LLM) training and inference, is fundamentally reshaping the operational dynamics of hyperscale data…
Hypergraph and Latent ODE Learning for Multimodal Root Cause Localization in Microservices
Xin Liu, Yuhang He, Sichen Zhao +2
Root cause localization in cloud native microservice systems requires modeling complex service dependencies, irregular temporal dynamics, and heterogeneous observability data. We p…
Detecting Abnormal User Feedback Patterns through Temporal Sentiment Aggregation
Yalun Qi, Sichen Zhao, Zhiming Xue +2
In many real-world applications, such as customer feedback monitoring, brand reputation management, and product health tracking, understanding the temporal dynamics of user sentime…
Non-Intrusive Graph-Based Bot Detection for E-Commerce Using Inductive Graph Neural Networks
Sichen Zhao, Zhiming Xue, Yalun Qi +2
Malicious bots pose a growing threat to e-commerce platforms by scraping data, hoarding inventory, and perpetrating fraud. Traditional bot mitigation techniques, including IP black…
Resilient Routing: Risk-Aware Dynamic Routing in Smart Logistics via Spatiotemporal Graph Learning
Zhiming Xue, Sichen Zhao, Yalun Qi +2
With the rapid development of the e-commerce industry, the logistics network is experiencing unprecedented pressure. The traditional static routing strategy most time cannot tolera…