activity
20232026
most citedOverview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities

198 citations · 220 across the 29 of their papers we have counts for

collaborators
Showing 2024Show all

7 papers · 1 filter

cs.CV2024

Exploring What Why and How: A Multifaceted Benchmark for Causation Understanding of Video Anomaly

Hang Du, Guoshun Nan, Jiawen Qian +7

Recent advancements in video anomaly understanding (VAU) have opened the door to groundbreaking applications in various fields, such as traffic monitoring and industrial automation…

cs.NI2024★ 198 cited

Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities

Qimei Cui, Xiaohu You, Ni Wei +22

With the growing demand for seamless connectivity and intelligent communication, the integration of artificial intelligence (AI) and sixth-generation (6G) communication networks ha…

cs.CR2024★ 1 cited

MALSIGHT: Exploring Malicious Source Code and Benign Pseudocode for Iterative Binary Malware Summarization

Haolang Lu, Hongrui Peng, Guoshun Nan +6

Binary malware summarization aims to automatically generate human-readable descriptions of malware behaviors from executable files, facilitating tasks like malware cracking and det…

cs.CV2024

ContextBLIP: Doubly Contextual Alignment for Contrastive Image Retrieval from Linguistically Complex Descriptions

Honglin Lin, Siyu Li, Guoshun Nan +8

Image retrieval from contextual descriptions (IRCD) aims to identify an image within a set of minimally contrastive candidates based on linguistically complex text. Despite the suc…

cs.CV2024

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

Hang Du, Sicheng Zhang, Binzhu Xie +16

Video anomaly understanding (VAU) aims to automatically comprehend unusual occurrences in videos, thereby enabling various applications such as traffic surveillance and industrial…

cs.CR2024

Semantic Entropy Can Simultaneously Benefit Transmission Efficiency and Channel Security of Wireless Semantic Communications

Yankai Rong, Guoshun Nan, Minwei Zhang +9

Recently proliferated deep learning-based semantic communications (DLSC) focus on how transmitted symbols efficiently convey a desired meaning to the destination. However, the sens…

eess.SP2024

Can We Improve Channel Reciprocity via Loop-back Compensation for RIS-assisted Physical Layer Key Generation

Ningya Xu, Guoshun Nan, Xiaofeng Tao +3

Reconfigurable intelligent surface (RIS) facilitates the extraction of unpredictable channel features for physical layer key generation (PKG), securing communications among legitim…