Hequn Wang

2 accepted papers

2026

Online Capacitated General Matching with Knapsack

Ruoyu Wu, Wei Bao, Ben Liang, Hequn Wang

AAAI 2026technical

We study a new online matching problem termed Online Capacitated General Matching with Knapsack (OCGMK), which generalizes the Online General Matching (OGM) problem. In the original OGM, vertices arrive sequentially and need to be paired with other vertices to maximize the total reward of pairing. O

Cited by 0 Source ↗PDF ↗Scholar ↗

2026

Retaliatory Attacks Against Federated Unlearning via Data Leakage

Xinyi Sheng, Wei Bao, Hequn Wang, Yuqin Liu, Sen Fu

AAAI 2026technical

Federated unlearning (FU) allows a participating client in a federated learning (FL) system to remove its contribution from the trained global model, thereby enforcing the client’s ``right to be forgotten

Cited by 0 Source ↗PDF ↗Scholar ↗