Search Results for author: Chao Lu

Found 18 papers, 2 papers with code

Simplified Self-homodyne Coherent System Based on Alamouti Coding and Digital Subcarrier Multiplexing

no code implementations18 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.

Compressed domain vibration detection and classification for distributed acoustic sensing

no code implementations27 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.

Classification Compressive Sensing

Leveraging Multi-stream Information Fusion for Trajectory Prediction in Low-illumination Scenarios: A Multi-channel Graph Convolutional Approach

1 code implementation18 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).

Autonomous Vehicles Optical Flow Estimation +1

Fast Quasi-Optimal Power Flow of Flexible DC Traction Power Systems

no code implementations5 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.

Computational Efficiency Mathematical Proofs

Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery

no code implementations24 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.

Autonomous Driving Decision Making +3

Automatic Sparse Connectivity Learning for Neural Networks

no code implementations13 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).

Network Pruning

Physics-informed Neural Network for Nonlinear Dynamics in Fiber Optics

no code implementations1 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.

Data-Driven Short-Term Voltage Stability Assessment Based on Spatial-Temporal Graph Convolutional Network

no code implementations5 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.

Improving the spatial resolution of a BOTDA sensor using deconvolution algorithm

no code implementations15 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.

Denoising

Driver Behavior Modelling at the Urban Intersection via Canonical Correlation Analysis

no code implementations11 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).

feature selection regression

Towards Interpretable Clinical Diagnosis with Bayesian Network Ensembles Stacked on Entity-Aware CNNs

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.

MOTS: Multiple Object Tracking for General Categories Based On Few-Shot Method

no code implementations19 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.

Computational Efficiency Multi-Object Tracking +1

Bit-level Optimized Neural Network for Multi-antenna Channel Quantization

no code implementations24 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

Analyzing Linguistic Complexity and Scientific Impact

no code implementations27 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.

Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting

2 code implementations4 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.

Crowd Counting

Learning and Generalizing Motion Primitives from Driving Data for Path-Tracking Applications

no code implementations2 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.

Clustering

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