Linhai Xie

Orcid: 0000-0001-8593-2277

According to our database1, Linhai Xie authored at least 20 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A review of machine learning-based methods for predicting drug-target interactions.
Health Inf. Sci. Syst., December, 2024

Introducing π-HelixNovo for practical large-scale de novo peptide sequencing.
Briefings Bioinform., January, 2024

Differentiable architecture search with multi-dimensional attention for spiking neural networks.
Neurocomputing, 2024

Multiscale Residual Network with Dynamic Depthwise Convolution for Multi-label 12-Lead ECG Classification.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
CVaDeS: A Conditional Variational Deep Survival Model for Survival Analysis.
Proceedings of the IEEE International Conference on Data Mining, 2023

A Review on Predicting Drug Target Interactions Based on Machine Learning.
Proceedings of the Health Information Science - 12th International Conference, 2023

2022
Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021
Learning With Stochastic Guidance for Robot Navigation.
IEEE Trans. Neural Networks Learn. Syst., 2021

2020
Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision.
CoRR, 2020

Heart Rate Sensing with a Robot Mounted mmWave Radar.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

SnapNav: Learning Mapless Visual Navigation with Sparse Directional Guidance and Visual Reference.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
MotionTransformer: Transferring Neural Inertial Tracking between Domains.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Learning with Stochastic Guidance for Navigation.
CoRR, 2018

Neural Allocentric Intuitive Physics Prediction from Real Videos.
CoRR, 2018

Simultaneous Localization and Mapping with Power Network Electromagnetic Field.
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018

Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

DEFO-NET: Learning Body Deformation Using Generative Adversarial Networks.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning.
CoRR, 2017

GraphTinker: Outlier rejection and inlier injection for pose graph SLAM.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017


  Loading...