activity
20192023
most citedJoint Beam Management and SLAM for mmWave Communication Systems

26 citations · 73 across the 17 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.CV2023★ 9 cited

Dynamic Frame Interpolation in Wavelet Domain

Lingtong Kong, Boyuan Jiang, Donghao Luo +4

Video frame interpolation is an important low-level vision task, which can increase frame rate for more fluent visual experience. Existing methods have achieved great success by em…

cs.CL2023

MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction

Jie Yang, Soyeon Caren Han, Siqu Long +2

Extracting meaningful drug-related information chunks, such as adverse drug events (ADE), is crucial for preventing morbidity and saving many lives. Most ADEs are reported via an u…

cs.IT2023★ 26 cited

Joint Beam Management and SLAM for mmWave Communication Systems

Hang Que, Jie Yang, Chao-Kai Wen +3

The millimeter-wave (mmWave) communication technology, which employs large-scale antenna arrays, enables inherent sensing capabilities. Simultaneous localization and mapping (SLAM)…

cs.IT2023

Angle-based SLAM on 5G mmWave Systems: Design, Implementation, and Measurement

Jie Yang, Chao-Kai Wen, Jing Xu +3

Simultaneous localization and mapping (SLAM) is a key technology that provides user equipment (UE) tracking and environment mapping services, enabling the deep integration of sensi…

cs.CV2023★ 1 cited

NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering

Yu-Tao Liu, Li Wang, Jie yang +4

Multi-view shape reconstruction has achieved impressive progresses thanks to the latest advances in neural implicit surface rendering. However, existing methods based on signed dis…

cs.CV2023★ 2 cited

Over-Sampling Strategy in Feature Space for Graphs based Class-imbalanced Bot Detection

Shuhao Shi, Kai Qiao, Jie Yang +3

The presence of a large number of bots in Online Social Networks (OSN) leads to undesirable social effects. Graph neural networks (GNNs) are effective in detecting bots as they uti…