activity
20232026
collaborators

6 papers

cs.CR2026

Risk-aware Road-network Trajectory Synthesis under Local Differential Privacy

Hongzhen Xiang, Chenxu Wang, Yumeng Song +5

Road-network trajectory synthesis under local differential privacy (LDP) enables mobility data analysis without uploading raw trajectories to an untrusted server. Existing locally…

cs.DB2026

VTRQ: Enabling Verifiable Trajectory Range Queries in Hybrid-Storage Blockchains

Zhongming Yao, Junchang Xin, Yumeng Song +7

Due to their increasingly large volumes, outsourcing of trajectory storage and querying to third-party service providers has become attractive. However, in such outsourced environm…

cs.LG2026

FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data

Zhenghang Song, Tang Qian, Lu Chen +7

Structured data is widely used in domains such as healthcare, finance, and scientific data management. Recent studies on structured data foundation models (SFMs) aim to support dat…

cs.LG2026

TCRL: Temporal-Coupled Adversarial Training for Robust Constrained Reinforcement Learning in Worst-Case Scenarios

Wentao Xu, Zhongming Yao, Weihao Li +4

Constrained Reinforcement Learning (CRL) aims to optimize decision-making policies under constraint conditions, making it highly applicable to safety-critical domains such as auton…

cs.DB2025

Quantifying Point Contributions: A Lightweight Framework for Efficient and Effective Query-Driven Trajectory Simplification

Yumeng Song, Yu Gu, Tianyi Li +3

As large volumes of trajectory data accumulate, simplifying trajectories to reduce storage and querying costs is increasingly studied. Existing proposals face three main problems.…

cs.LG2023

CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network

Yumeng Song, Yu Gu, Tianyi Li +4

Hypergraphs can model higher-order relationships among data objects that are found in applications such as social networks and bioinformatics. However, recent studies on hypergraph…