activity
20222025
most citedRailway Virtual Coupling: A Survey of Emerging Control Techniques

92 citations · 149 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025★ 3 cited

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models

Luolin Xiong, Haofen Wang, Xi Chen +7

DeepSeek, a Chinese Artificial Intelligence (AI) startup, has released their V3 and R1 series models, which attracted global attention due to their low cost, high performance, and…

cs.CV2023★ 48 cited

Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Tao Huang, Jianan Liu, Xi Zhou +5

Achieving fully autonomous driving with enhanced safety and efficiency relies on vehicle-to-everything cooperative perception, which enables vehicles to share perception data, ther…

math.NA2023★ 92 cited

Railway Virtual Coupling: A Survey of Emerging Control Techniques

Qing Wu, Xiaohua Ge, Qing-Long Han +1

This paper provides a systematic review of emerging control techniques used for railway Virtual Coupling (VC) studies. Train motion models are first reviewed, including model formu…

cs.CV2022★ 5 cited

Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview

Wenqi Ren, Yang Tang, Qiyu Sun +2

Visual semantic segmentation aims at separating a visual sample into diverse blocks with specific semantic attributes and identifying the category for each block, and it plays a cr…

eess.SY2022★ 1 cited

GNN-PMB: A Simple but Effective Online 3D Multi-Object Tracker without Bells and Whistles

Jianan Liu, Liping Bai, Yuxuan Xia +3

Multi-object tracking (MOT) is among crucial applications in modern advanced driver assistance systems (ADAS) and autonomous driving (AD) systems. The global nearest neighbor (GNN)…