Zhixun Li

Orcid: 0000-0001-6750-9002

According to our database1, Zhixun Li authored at least 29 papers between 2013 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Inductive Attributed Community Search: to Learn Communities across Graphs.
Proc. VLDB Endow., June, 2024

SG-MIAN: Self-guided multiple information aggregation network for image-level weakly supervised skin lesion segmentation.
Comput. Biol. Medicine, March, 2024

Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems.
CoRR, 2024

Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization.
CoRR, 2024

All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction.
CoRR, 2024

Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media.
CoRR, 2024

Graph Intelligence with Large Language Models and Prompt Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Rethinking Fair Graph Neural Networks from Re-balancing.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Survey of Graph Meets Large Language Model: Progress and Future Directions.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
MFA-Net: Multiple Feature Association Network for medical image segmentation.
Comput. Biol. Medicine, May, 2023

CDA-Net: A contrastive deep adversarial model for prostate cancer segmentation in MRI images.
Biomed. Signal Process. Control., May, 2023

GSLB: The Graph Structure Learning Benchmark.
CoRR, 2023

Uncovering Neural Scaling Laws in Molecular Representation Learning.
CoRR, 2023

GSLB: The Graph Structure Learning Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Uncovering Neural Scaling Laws in Molecular Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection.
Proceedings of the IEEE International Conference on Data Mining, 2022

2021
Understanding Multivariate Drug-Target-DiseaseInterdependence via Event-Graph.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2019
Partial Multi-View Clustering Based on Sparse Embedding Framework.
IEEE Access, 2019

Control Design and Analysis of An Epidemic SEIV Model upon Adaptive Network.
Proceedings of the 17th European Control Conference, 2019

Control Design and Stability Analysis of a Two-Infectious-State Awareness Epidemic Model.
Proceedings of the 12th Asian Control Conference, 2019

2018
Detection of Human Falls on Furniture Using Scene Analysis Based on Deep Learning and Activity Characteristics.
IEEE Access, 2018

2017
A 3D/2D registration of the coronary arteries based on tree topology consistency matching.
Biomed. Signal Process. Control., 2017

An automatic and efficient coronary arteries extraction method in CT angiographies.
Biomed. Signal Process. Control., 2017

Awareness design and analysis upon two infectious states based on susceptible-exposed-infected-vigilant (SEIV) model.
Proceedings of the 11th Asian Control Conference, 2017

2016
Automatic coronary artery segmentation based on multi-domains remapping and quantile regression in angiographies.
Comput. Medical Imaging Graph., 2016

2015
A robust coronary artery identification and centerline extraction method in angiographies.
Biomed. Signal Process. Control., 2015

2013
Learning Control of a Robotic System Using Neural Networks.
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013


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