most citedData Poisoning in Deep Learning: A Survey

1 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.NI20251 cited

VariSAC: V2X Assured Connectivity in RIS-Aided ISAC via GNN-Augmented Reinforcement Learning

Huijun Tang, Wang Zeng, Ming Du +4

The integration of Reconfigurable Intelligent Surfaces (RIS) and Integrated Sensing and Communication (ISAC) in vehicular networks enables dynamic spatial resource management and r…

cs.LG2025

HGMP:Heterogeneous Graph Multi-Task Prompt Learning

Pengfei Jiao, Jialong Ni, Di Jin +4

The pre-training and fine-tuning methods have gained widespread attention in the field of heterogeneous graph neural networks due to their ability to leverage large amounts of unla…

cs.IT2025

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands

Huijun Tang, Jieling Zhang, Zhidong Zhao +3

Reconfigurable intelligent Surfaces (RIS) and half-duplex decoded and forwarded (DF) relays can collaborate to optimize wireless signal propagation in communication systems. Users…

cs.LG2025

A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities

Pengfei Jiao, Hongjiang Chen, Xuan Guo +3

Temporal interaction graphs (TIGs), defined by sequences of timestamped interaction events, have become ubiquitous in real-world applications due to their capability to model compl…

cs.CR20251 cited

Data Poisoning in Deep Learning: A Survey

Pinlong Zhao, Weiyao Zhu, Pengfei Jiao +2

Deep learning has become a cornerstone of modern artificial intelligence, enabling transformative applications across a wide range of domains. As the core element of deep learning,…