no code implementations • 18 Mar 2024 • Wei Wang, Dongdong Zou, Zhenpeng Wu, Qi Sui, Xingwen Yi, Fan Li, Chao Lu, Zhaohui Li
Coherent technology inherent with more availabledegrees of freedom is deemed a competitive solution for nextgeneration ultra-high-speed short-reach optical interconnects. However, the fatal barriers to implementing the conventiona. coherent system in short-reach optical interconnect are the costfootprint, and power consumption.
no code implementations • 28 Jul 2023 • Huan Wu, Huan-Feng Duan, Wallace W. L. Lai, Kun Zhu, Xin Cheng, Hao Yin, Bin Zhou, Chun-Cheung Lai, Chao Lu, Xiaoli Ding
Detecting leaks in water networks is a costly challenge.
no code implementations • 27 Dec 2022 • Xingliang Shen, Huan Wu, Kun Zhu, Yujia Li, Hua Zheng, Jialong Li, Liyang Shao, Perry Ping Shum, Chao Lu
Distributed acoustic sensing (DAS) is a novel enabling technology that can turn existing fibre optic networks to distributed acoustic sensors.
1 code implementation • 18 Nov 2022 • Hailong Gong, Zirui Li, Chao Lu, Guodong Du, Jianwei Gong
The optical flow channel is applied to capture the pattern of relative motion between adjacent camera frames and modelled by Spatial-Temporal Graph Convolutional Network (ST-GCN).
no code implementations • 5 Nov 2022 • Zhanhe Li, Xiaoqian Li, Yingdong Wei, Chao Lu, Xuelian Bai
Then, the analytical mapping from load information to near-optimal solutions is obtained inspired by the mechanism of conventional OPF, and the quasi-OPF algorithm is designed based on the mapping.
no code implementations • 24 Jul 2022 • Xianqi He, Lin Yang, Chao Lu, Zirui Li, Jianwei Gong
But in uncertain environments, they are not reliable, so learning-based methods are proposed, especially reinforcement learning (RL) methods.
no code implementations • 13 Jan 2022 • Zhimin Tang, Linkai Luo, Bike Xie, Yiyu Zhu, Rujie Zhao, Lvqing Bi, Chao Lu
In this work, we propose a new automatic pruning method - Sparse Connectivity Learning (SCL).
no code implementations • 1 Sep 2021 • Xiaotian Jiang, Danshi Wang, Qirui Fan, Min Zhang, Chao Lu, Alan Pak Tao Lau
A physics-informed neural network (PINN) that combines deep learning with physics is studied to solve the nonlinear Schr\"odinger equation for learning nonlinear dynamics in fiber optics.
no code implementations • 5 Mar 2021 • Yonghong Luo, Chao Lu, Lipeng Zhu, Jie Song
The proposed STGCN utilizes graph convolution to integrate network topology information into the learning model to exploit spatial information.
no code implementations • 15 Sep 2020 • Li Shen, Zhiyong Zhao, Can Zhao, Hao Wu, Chao Lu, Ming Tang
The frequency dependency of Brillouin gain temporal envelope is investigated by simulation, and its impact on the recovered results of deconvolution algorithm is thoroughly analyzed.
no code implementations • 11 Jul 2020 • Zirui Li, Chao Lu, Cheng Gong, Jinghang Li, Lianzhen Wei
Accurately modelling the driver behavior at the intersection is essential for intelligent transportation systems (ITS).
no code implementations • ACL 2020 • Jun Chen, Xiaoya Dai, Quan Yuan, Chao Lu, Haifeng Huang
The automatic text-based diagnosis remains a challenging task for clinical use because it requires appropriate balance between accuracy and interpretability.
no code implementations • 19 May 2020 • Xixi Xu, Chao Lu, Liang Zhu, xiangyang xue, Guanxian Chen, Qi Guo, Yining Lin, Zhijian Zhao
Most modern Multi-Object Tracking (MOT) systems typically apply REID-based paradigm to hold a balance between computational efficiency and performance.
no code implementations • 24 Sep 2019 • Chao Lu, Wei Xu, Shi Jin, Kezhi Wang
Quantized channel state information (CSI) plays a critical role in precoding design which helps reap the merits of multiple-input multiple-output (MIMO) technology.
Information Theory Signal Processing Information Theory
no code implementations • 27 Jul 2019 • Chao Lu, Yi Bu, Xianlei Dong, Jie Wang, Ying Ding, Vincent Larivière, Cassidy R. Sugimoto, Logan Paul, Chengzhi Zhang
In this context, scientific writing increasingly plays an important role in scholars' scientific careers.
2 code implementations • 4 Feb 2019 • Liang Zhu, Zhijian Zhao, Chao Lu, Yining Lin, Yao Peng, Tangren Yao
The task of crowd counting in varying density scenes is an extremely difficult challenge due to large scale variations.
no code implementations • 22 Jul 2018 • Chao Lu, Yi Bu, Jie Wang, Ying Ding, Vetle Torvik, Matthew Schnaars, Chengzhi Zhang
The observations suggest marginal differences between groups in syntactical and lexical complexity.
no code implementations • 2 Jun 2018 • Boyang Wang, Zirui Li, Jianwei Gong, Yidi Liu, Huiyan Chen, Chao Lu
Therefore, the goal of this paper is to generate the prediction results of lateral commands with confidence regions according to the reference based on the learned motion primitives.