Chenxi Sun

Orcid: 0000-0002-1762-0877

According to our database1, Chenxi Sun authored at least 45 papers between 2015 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Time pattern reconstruction for classification of irregularly sampled time series.
Pattern Recognit., March, 2024

A Systematic Review of Echo State Networks From Design to Application.
IEEE Trans. Artif. Intell., January, 2024

Identity information based on human magnetocardiography signals.
CoRR, 2024

Curriculum Design Helps Spiking Neural Networks to Classify Time Series.
CoRR, 2024

2023
SPL-LDP: a label distribution propagation method for semi-supervised partial label learning.
Appl. Intell., September, 2023

Adaptive model training strategy for continuous classification of time series.
Appl. Intell., August, 2023

Continuous diagnosis and prognosis by controlling the update process of deep neural networks.
Patterns, February, 2023

AI-Enabled Consensus Algorithm in Human-Centric Collaborative Computing for Internet of Vehicle.
Symmetry, 2023

Curricular and Cyclical Loss for Time Series Learning Strategy.
CoRR, 2023

Federated Learning in Competitive EV Charging Market.
CoRR, 2023

TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series.
CoRR, 2023

EE-TTS: Emphatic Expressive TTS with Linguistic Information.
CoRR, 2023

Optimizing Pricing and Charging Strategy for Electric Taxis Considering Credit Mechanism.
Proceedings of the IEEE International Conference on Communications, 2023

Federated Learning in Competitive EV Charging Market.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

How Much Energy Do Bounded Rational Participants Share in Vehicle-to-Grid (V2G)?
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

2022
Discovering biomarkers of hepatocellular carcinoma from single-cell RNA sequencing data by cooperative games on gene regulatory network.
J. Comput. Sci., 2022

Classifying vaguely labeled data based on evidential fusion.
Inf. Sci., 2022

Dlsa: Semi-supervised partial label learning via dependence-maximized label set assignment.
Inf. Sci., 2022

A Holistic Review on Advanced Bi-directional EV Charging Control Algorithms.
CoRR, 2022

Battery Charging Strategies Design for Battery Swapping Stations: A Game Theoretic Approach.
Proceedings of the IEEE International Conference on Communications, 2022

A Game Approach for EV Brands' Investment Planning of Battery Swapping Stations.
Proceedings of the IEEE International Conference on Communications, 2022

GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Hypergraph Contrastive Learning for Electronic Health Records.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Hypergraph Structure Learning for Hypergraph Neural Networks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Confidence-Guided Learning Process for Continuous Classification of Time Series.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Deep Ordinal Neural Network for Length of Stay Estimation in the Intensive Care Units.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning.
BMC Medical Informatics Decis. Mak., December, 2021

Interpretable time-aware and co-occurrence-aware network for medical prediction.
BMC Medical Informatics Decis. Mak., 2021

Application of Musculoskeletal Ultrasound in Real-Time Dynamic Detection of Luschka Joint Hyperplasia of Cervical Vertebrae.
J. Medical Imaging Health Informatics, 2021

TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data.
CoRR, 2021

Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience.
Biomed. Signal Process. Control., 2021

Data-driven Electric Vehicle Charging Station Placement for Incentivizing Potential Demand.
Proceedings of the IEEE International Conference on Communications, 2021

TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Chinese WPLC: A Chinese Dataset for Evaluating Pretrained Language Models on Word Prediction Given Long-Range Context.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Efficient J Peak Detection From Ballistocardiogram Using Lightweight Convolutional Neural Network<sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
A Review of Designs and Applications of Echo State Networks.
CoRR, 2020

A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data.
CoRR, 2020

Unobtrusive Inter-beat Interval Estimation from Multichannel Ballistocardiogram Signal Using Kalman Filter.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Multi-Type Sensor Placements in Gaussian Spatial Fields for Environmental Monitoring.
Sensors, 2019

Optimal Citizen-Centric Sensor Placement for Air Quality Monitoring: A Case Study of City of Cambridge, the United Kingdom.
IEEE Access, 2019

2018
Optimal Citizen-Centric Sensor Placement for Citywide Environmental Monitoring - A Submodular Approach.
Proceedings of the 2018 IEEE International Conference on Sensing, 2018

Optimal Multi-type Sensor Placements in Gaussian Spatial Fields for Environmental Monitoring.
Proceedings of the IEEE International Smart Cities Conference, 2018

Robust and Consistent Clustering Recovery via SDP Approaches.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017
An Extended Spatio-Temporal Granger Causality Model for Air Quality Estimation with Heterogeneous Urban Big Data.
IEEE Trans. Big Data, 2017

2015
Granger-Causality-based air quality estimation with spatio-temporal (S-T) heterogeneous big data.
Proceedings of the 2015 IEEE Conference on Computer Communications Workshops, 2015


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