7 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…
EAGLE: Edge-Aware Graph Learning for Proactive Delivery Delay Prediction in Smart Logistics Networks
Zhiming Xue, Menghao Huo, Yujue Wang
Modern logistics networks generate rich operational data streams at every warehouse node and transportation lane -- from order timestamps and routing records to shipping manifests…
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…
LLM-Grounded Explainable AI for Supply Chain Risk Early Warning via Temporal Graph Attention Networks
Zhiming Xue, Yujue Wang, Menghao Huo
Disruptions at critical logistics nodes pose severe risks to global supply chains, yet existing risk prediction systems typically prioritize forecasting accuracy without providing…
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…