Liwen Xu

Orcid: 0000-0003-2133-8257

According to our database1, Liwen Xu authored at least 55 papers between 2009 and 2025.

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Bibliography

2025
CSLens: Towards Better Deploying Charging Stations via Visual Analytics - a Coupled Networks Perspective.
IEEE Trans. Vis. Comput. Graph., January, 2025

2024
You Only Plan Once: A Learning-Based One-Stage Planner With Guidance Learning.
IEEE Robotics Autom. Lett., July, 2024

BlendCSE: Blend contrastive learnings for sentence embeddings with rich semantics and transferability.
Expert Syst. Appl., March, 2024

Adaptive Incremental Modeling Combined with Hidden Markov Modeling in Cyber Security.
J. Cyber Secur. Mobil., 2024

TaylorNet: A novel approach for spectral filter learning on graph data.
Neurocomputing, 2024

Fixed-time Disturbance Observer-Based MPC Robust Trajectory Tracking Control of Quadrotor.
CoRR, 2024

FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival.
CoRR, 2024

DEDUCE: Multi-head attention decoupled contrastive learning to discover cancer subtypes based on multi-omics data.
Comput. Methods Programs Biomed., 2024

SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival.
Comput. Biol. Medicine, 2024

MUSCLE: multi-view and multi-scale attentional feature fusion for microRNA-disease associations prediction.
Briefings Bioinform., 2024

2023
CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images.
CoRR, 2023

LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images.
CoRR, 2023

Multi-Head Attention Mechanism Learning for Cancer New Subtypes and Treatment Based on Cancer Multi-Omics Data.
CoRR, 2023

DoreBer: Document-Level Relation Extraction Method Based on BernNet.
IEEE Access, 2023

HiSec: Towards Cyber Threat Correlation and Discovery Based on Hierarchical Graph Neural Networks.
Proceedings of the 22nd IEEE International Conference on Trust, 2023

ImmRegInformer: an interpretable Transformer-based method for prioritizing immune-regulatory cancer drivers.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
MGTUNet: An new UNet for colon nuclei instance segmentation and quantification.
CoRR, 2022

Revealing the contribution of somatic gene mutations to shaping tumor immune microenvironment.
Briefings Bioinform., 2022

MDAN: Multi-level Dependent Attention Network for Visual Emotion Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MGTUNet: An new UNet for colon nuclei instance segmentation and quantification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Building a Clinically-Focused Problem List From Medical Notes.
Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis, 2022

2021
An integrated strategy for target SSR genotyping with toleration of nucleotide variations in the SSRs and flanking regions.
BMC Bioinform., 2021

Anomaly Detection with Dual Adversarial Training.
Proceedings of the 2021 International Conference on Data Mining, 2021

Hybrid Location Algorithm of TDOA / AOA Based on Extended Kalman Filter.
Proceedings of the 21st International Conference on Communication Technology, 2021

LCR-GAN: Learning Crucial Representation for Anomaly Detection.
Proceedings of the CSAI 2021: 5th International Conference on Computer Science and Artificial Intelligence, Beijing, China, December 4, 2021

ChicHealth @ MEDIQA 2021: Exploring the limits of pre-trained seq2seq models for medical summarization.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

2020
An Integrated Model Based on O-GAN and Density Estimation for Anomaly Detection.
IEEE Access, 2020

Research on Hybrid Algorithm Based on TDOA.
Proceedings of the 20th IEEE International Conference on Communication Technology, 2020

Decentralized Expectation Maximization Algorithm.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

2019
Spaceborne GNSS-R Observation of Global Lake Level: First Results from the TechDemoSat-1 Mission.
Remote. Sens., 2019

Using CYGNSS Data to Monitor China's Flood Inundation during Typhoon and Extreme Precipitation Events in 2017.
Remote. Sens., 2019

CellMarker: a manually curated resource of cell markers in human and mouse.
Nucleic Acids Res., 2019

CancerSEA: a cancer single-cell state atlas.
Nucleic Acids Res., 2019

Stacked autoencoders and extreme learning machine based hybrid model for electrical load prediction.
J. Intell. Fuzzy Syst., 2019

A model-averaging approach for smoothing spline regression.
Commun. Stat. Simul. Comput., 2019

2018
Analysis of Key Issues on GNSS-R Soil Moisture Retrieval Based on Different Antenna Patterns.
Sensors, 2018

DiseaseEnhancer: a resource of human disease-associated enhancer catalog.
Nucleic Acids Res., 2018

Long-Short-Term Memory Network Based Hybrid Model for Short-Term Electrical Load Forecasting.
Inf., 2018

2017
Parametric bootstrap inferences for unbalanced panel data models.
Commun. Stat. Simul. Comput., 2017

Density-aware compressive crowdsensing.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

Reducing Recovery Error in Compressive Sensing with Limited Number of Base Stations.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
A Parametric Bootstrap Solution to Two-way MANOVA without Interaction under Heteroscedasticity: Fixed and Mixed Models.
Commun. Stat. Simul. Comput., 2016

Parametric Bootstrap Tests for Unbalanced Three-factor Nested Designs under Heteroscedasticity.
Commun. Stat. Simul. Comput., 2016

2015
A Parametric Bootstrap Test for Two-Way ANOVA Model Without Interaction Under Heteroscedasticity.
Commun. Stat. Simul. Comput., 2015

Cost-aware compressive sensing for networked sensing systems.
Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015

More with less: lowering user burden in mobile crowdsourcing through compressive sensing.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

2014
Correlated Compressive Sensing for Networked Data.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Compressive sensing over strongly connected digraph and its application in traffic monitoring.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

2013
EIM: Efficient online interference measurement in wireless sensor networks.
Proceedings of the 11th International Symposium and Workshops on Modeling and Optimization in Mobile, 2013

Efficient data gathering using Compressed Sparse Functions.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

2011
Major Coefficients Recovery: A Compressed Data Gathering Scheme for Wireless Sensor Network.
Proceedings of the Global Communications Conference, 2011

2010
L3SN: A Level-Based, Large-Scale, Longevous Sensor Network System for Agriculture Information Monitoring.
Wirel. Sens. Netw., 2010

2009
OPAIMS: open architecture precision agriculture information monitoring system.
Proceedings of the 2009 International Conference on Compilers, 2009


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