Zhiyuan Ning

Orcid: 0009-0000-4718-1564

According to our database1, Zhiyuan Ning authored at least 25 papers between 2019 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 Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning.
ACM Trans. Web, May, 2024

Dynamics modeling and analysis of planetary gear mechanism under mixed elastohydrodynamic lubrication.
Simul. Model. Pract. Theory, 2024

SecureTLM: Private inference for transformer-based large model with MPC.
Inf. Sci., 2024

Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy.
CoRR, 2024

Memory-enhanced appearance-motion consistency framework for video anomaly detection.
Comput. Commun., 2024

Multi-view attribute learning and context relationship encoding enhanced segmentation of lung tumors from CT images.
Comput. Biol. Medicine, 2024

Temporal inductive path neural network for temporal knowledge graph reasoning.
Artif. Intell., 2024

A Multi-information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MuMoSNet: 3D MRI-based Brain Tumor Segmentation via Multi-modal and Multi-scale Feature Fusion.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Radio Frequency Signal based Human Silhouette Segmentation: A Sequential Diffusion Approach.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

scCDCG: Efficient Deep Structural Clustering for Single-Cell RNA-Seq via Deep Cut-Informed Graph Embedding.
Proceedings of the Database Systems for Advanced Applications, 2024

2023
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.
IEEE Trans. Big Data, February, 2023

Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation.
CoRR, 2023

Multi-scale Spatial-temporal Interaction Network for Video Anomaly Detection.
CoRR, 2023

NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Graph Soft-Contrastive Learning via Neighborhood Ranking.
CoRR, 2022

2021
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.
CoRR, 2021

LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion.
CoRR, 2020

2019
Team Peter-Parker at SemEval-2019 Task 4: BERT-Based Method in Hyperpartisan News Detection.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019


  Loading...