Xin Zheng

Orcid: 0000-0003-0915-7787

Affiliations:
  • Griffith University, Queensland, Australia


According to our database1, Xin Zheng authored at least 25 papers between 2018 and 2025.

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

Timeline

Legend:

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Online presence:

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Bibliography

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

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

A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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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