Zhiping Xiao

Orcid: 0000-0002-8583-4789

Affiliations:
  • University of California, Los Angeles, CA, USA
  • Peking University, China (former)


According to our database1, Zhiping Xiao authored at least 22 papers between 2016 and 2024.

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Timeline

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Bibliography

2024
Ideology Analysis for Social-Media Users via Multi-Modal Data Mining
PhD thesis, 2024

Focus on informative graphs! Semi-supervised active learning for graph-level classification.
Pattern Recognit., 2024

A Comprehensive Survey on Deep Graph Representation Learning.
Neural Networks, 2024

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting.
Inf. Fusion, 2024

Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations.
CoRR, 2024

Towards Graph Contrastive Learning: A Survey and Beyond.
CoRR, 2024

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.
CoRR, 2024

PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering.
CoRR, 2024

A Survey on Graph Neural Networks in Intelligent Transportation Systems.
CoRR, 2024

Fast Inference of Removal-Based Node Influence.
Proceedings of the ACM on Web Conference 2024, 2024

A Survey of Data-Efficient Graph Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Rank and Align: Towards Effective Source-free Graph Domain Adaptation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Hypergraph-enhanced Dual Semi-supervised Graph Classification.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

PGODE: Towards High-quality System Dynamics Modeling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Detecting political biases of named entities and hashtags on Twitter.
EPJ Data Sci., December, 2023

A Comprehensive Survey on Deep Graph Representation Learning.
CoRR, 2023

2020
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Session-Based Social Recommendation via Dynamic Graph Attention Networks.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
AutoQuiz: A Personalized, Adaptive, Test Practice System (Abstract Only).
Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

2016
Skolem Sequence Based Self-Adaptive Broadcast Protocol in Cognitive Radio Networks.
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016



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