Guoshun Nan

Physical-layer Adversarial Robustness for Deep Learning-based Semantic Communications

2023 · arXiv (Cornell University)

End-to-end semantic communications (ESC) rely on deep neural networks (DNN) to boost communication efficiency by only transmitting the semantics of data, showing great potential for high-demand mobile applications. We argue that central to the success …

Uncovering What, Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly

2024 · arXiv (Cornell University)

Video anomaly understanding (VAU) aims to automatically comprehend unusual occurrences in videos, thereby enabling various applications such as traffic surveillance and industrial manufacturing. While existing VAU benchmarks primarily concentrate on anomaly detection and localization, our …

Reasoning with Latent Structure Refinement for Document-Level Relation Extraction

2020

Document-level relation extraction requires integrating information within and across multiple sentences of a document and capturing complex interactions between inter-sentence entities. However, effective aggregation of relevant information in the document remains a challenging research question. …