Xin Zheng

Orcid: 0000-0003-0915-7787

Affiliations:
  • Griffith University, Queensland, Australia


According to our database1, Xin Zheng authored at least 43 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Graph Neural Networks for Graphs With Heterophily: A Survey.
IEEE Trans. Knowl. Data Eng., July, 2026

ST-TGExplainer: Disentangling Stability and Transition Patterns for Temporal GNN Interpretability.
CoRR, May, 2026

ReCoG: Relational and Compact Context Graph Learning for Few-shot Molecular Property Prediction.
CoRR, May, 2026

Bridging Sequence and Graph Structure for Epigenetic Age Prediction.
CoRR, May, 2026

GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems.
CoRR, March, 2026

Multi-Source Unsupervised Graph Domain Adaptation via Concise Propagation-Transformation Pipeline.
Proceedings of the ACM Web Conference 2026, 2026

Spiking Graph Predictive Coding for Reliable OOD Generalization.
Proceedings of the ACM Web Conference 2026, 2026

Graph Neural Network Model Transferability Estimation via Decomposition-Augmented Discriminant Analysis.
Proceedings of the ACM Web Conference 2026, 2026

IAMRec: Intent-Adaptive Multimodal Recommendation with Collaborative-Modality Disentanglement.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

2025
Few-shot Molecular Property Prediction: A Survey.
CoRR, October, 2025

Graph neural architecture search with large language models.
Sci. China Inf. Sci., 2025

Efficient and Diverse De Novo Protein Backbone Design with SE(3)-Equivariant Diffusion.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

SpecG: A Spectral-Based Framework for Effective Graph Pretraining and Knowledge Transfer.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

VCC-Fed: A Multi-task Federated Learning Paradigm with Versatile Collaborative Clients.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Data-Free Model Extraction for Black-box Recommender Systems via Graph Convolutions.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Test-Time Adaptation on Recommender System with Data-Centric Graph Transformation.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Test-Time Graph Neural Dataset Search With Generative Projection.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Long-Tailed Federated Learning with Fixed Classifier.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Test-Time Graph Rebirth for GNN Generalization Under Distribution Shifts.
Proceedings of the IEEE International Conference on Data Mining, 2025

Test-Time GNN Model Evaluation on Dynamic Graphs.
Proceedings of the IEEE International Conference on Data Mining, 2025

PAFedMIS: Personalized Asynchronous Federated Learning for Medical Image Segmentation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning.
CoRR, 2024

Online GNN Evaluation Under Test-time Graph Distribution Shifts.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Robust Physical-World Attacks on Face Recognition.
Pattern Recognit., 2023

Graph Neural Architecture Search with GPT-4.
CoRR, 2023

Towards Data-centric Graph Machine Learning: Review and Outlook.
CoRR, 2023

Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs.
Proceedings of the ACM Web Conference 2023, 2023

Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Graph Neural Networks for Graphs with Heterophily: A Survey.
CoRR, 2022

Joint Graph-Sequence Learning for Molecular Property Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing.
Proceedings of the IEEE International Conference on Data Mining, 2022

Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Multi-scale Multi-attention Network for Moiré Document Image Binarization.
Signal Process. Image Commun., 2021

2020
BLAN: Bi-directional ladder attentive network for facial attribute prediction.
Pattern Recognit., 2020

A Survey of Deep Facial Attribute Analysis.
Int. J. Comput. Vis., 2020

2019
$$\hbox {U}^2\hbox {F}^2\hbox {S}^2$$ U 2 F 2 S 2 : Uncovering Feature-level Similarities for Unsupervised Feature Selection.
Neural Process. Lett., 2019

Moiré Pattern Removal with Multi-scale Feature Enhancing Network.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

Adversarial Iris Super Resolution.
Proceedings of the 2019 International Conference on Biometrics, 2019

2018
A Survey to Deep Facial Attribute Analysis.
CoRR, 2018

Partial Multi-view Subspace Clustering.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018


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