no code implementations • 14 Mar 2024 • Yingqing Chen, Christos G. Cassandras, Kaiyuan Xu
This paper develops a controller for Connected and Automated Vehicles (CAVs) traversing a single-lane roundabout.
no code implementations • 6 Aug 2023 • Kaiyuan Xu, Christos G. Cassandras
We consider the problem of scaling up optimal and safe controllers for Connected and Automated Vehicles (CAVs) from a single Control Zone (CZ) around a traffic conflict area to an entire network.
no code implementations • 8 Mar 2022 • Kaiyuan Xu, Wei Xiao, Christos G. Cassandras
We consider the merging control problem for Connected and Automated Vehicles (CAVs) aiming to jointly minimize travel time and energy consumption while providing speed-dependent safety guarantees and satisfying velocity and acceleration constraints.
no code implementations • 13 Apr 2021 • Kaiyuan Xu, Christos G. Cassandras, Wei Xiao
The paper considers the problem of controlling Connected and Automated Vehicles (CAVs) traveling through a three-entry roundabout so as to jointly minimize both the travel time and the energy consumption while providing speed-dependent safety guarantees, as well as satisfying velocity and acceleration constraints.
no code implementations • 25 May 2020 • Shangxi Wu, Jitao Sang, Kaiyuan Xu, Guanhua Zheng, Changsheng Xu
Specifically, AALP consists of an adaptive feature optimization module with Guided Dropout to systematically pursue fewer high-contribution features, and an adaptive sample weighting module by setting sample-specific training weights to balance between logits pairing loss and classification loss.
1 code implementation • 2 Jan 2020 • Bohan Liang, Shangxi Wu, Kaiyuan Xu, Jingyu Hao
Insects are abundant species on the earth, and the task of identification and identification of insects is complex and arduous.
no code implementations • 22 Apr 2019 • Jiaming Zhang, Jitao Sang, Kaiyuan Xu, Shangxi Wu, Yongli Hu, Yanfeng Sun, Jian Yu
Turing test was originally proposed to examine whether machine's behavior is indistinguishable from a human.
no code implementations • 24 Nov 2018 • Shangxi Wu, Jitao Sang, Kaiyuan Xu, Jiaming Zhang, Jian Yu
This study provides a new understanding of the adversarial attack problem by examining the correlation between adversarial attack and visual attention change.
no code implementations • 16 Oct 2018 • Jinxi Guo, Ning Xu, Kailun Qian, Yang Shi, Kaiyuan Xu, Ying-Nian Wu, Abeer Alwan
Experimental results using the NIST SRE 2010 dataset show that both methods provide significant improvement and result in a max of 28. 43% relative improvement in Equal Error Rates from a baseline system, when using deep encoder with residual blocks and adding an additional phoneme vector.