Paper-Conference

TRIDENT: Cross-Domain Trajectory Spatio-Temporal Representation via Distance-Preserving Triplet Learning

Towards Hierarchical Multi-Agent Decision-Making for Uncertainty-Aware EV Charging

A Market-Aware Real-Time Bidding Strategy Using Censored Data with Reinforcement Learning in Online Advertising

DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing

A Lightweight Peak Value Prediction Model for Time Series Data

Player Movement Predictions Using Team and Opponent Dynamics for Doubles Badminton

MoCVAE: Movement Prediction by A Conditional Variational Autoencoder for Doubles Badminton

A Confidence-Based Power-Efficient Framework for Sleep Stage Classification on Consumer Wearables

Pairs Trading Strategy Optimization Using Proximal Policy Optimization Algorithms

Learning the Co-evolution Process on Live Stream Platforms with Dual Self-attention for Next-topic Recommendations