DAO to HANOI via DeSci: AI paradigm shifts from AlphaGo to ChatGPT

Q Miao, W Zheng, Y Lv, M Huang… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
From AlphaGo to ChatGPT, the field of AI has launched a series of remarkable
achievements in recent years. Analyzing, comparing, and summarizing these achievements …

A systematic survey of control techniques and applications in connected and automated vehicles

W Liu, M Hua, Z Deng, Z Meng, Y Huang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …

Fundamental limitations and state-of-the-art solutions for target node localization in WSNs: a review

LAC Najarro, I Song, K Kim - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
With the advances in new technological trends and the reduction in prices of sensor nodes,
wireless sensor networks (WSNs) and their applications are proliferating in several areas of …

A systematic literature review on long‐term localization and map** for mobile robots

RB Sousa, HM Sobreira, AP Moreira - Journal of Field Robotics, 2023 - Wiley Online Library
Long‐term operation of robots creates new challenges to Simultaneous Localization and
Map** (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …

Dual contrastive learning network for graph clustering

X Peng, J Cheng, X Tang, J Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Graph representation is an important part of graph clustering. Recently, contrastive learning,
which maximizes the mutual information between augmented graph views that share the …

GraphCA: Learning from graph counterfactual augmentation for knowledge tracing

X Wang, S Zhao, L Guo, L Zhu, C Cui… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
With the popularity of online learning in educational settings, knowledge tracing (KT) plays
an increasingly significant role. The task of KT is to help students learn more effectively by …

Robust incremental long-term visual topological localization in changing environments

H **e, T Deng, J Wang, W Chen - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Robust long-term visual localization is challenging for a mobile robot, especially in changing
environments, where the dynamic scene changes degrade localization accuracy or even …

Learning robust representation and sequence constraint for retrieval-based long-term visual place recognition

Y Tan, P Ji, Y Zhang, F Ge, S Zhu - Engineering Applications of Artificial …, 2024 - Elsevier
Long-term visual place recognition is a crucial task for mobile robots. However, it poses
significant challenges due to factors such as seasonal changes and variations in …