Ziyue Qiao

Orcid: 0000-0002-9485-4861

According to our database¹, Ziyue Qiao authored at least 54 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2025

PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., July, 2025

Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention.

[BibT_eX]

[DOI]

Jiawei Gu

Ziyue Qiao

Zechao Li

CoRR, July, 2025

Out-of-Distribution Graph Models Merging.

[BibT_eX]

[DOI]

CoRR, June, 2025

Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning.

[BibT_eX]

[DOI]

CoRR, May, 2025

SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting.

[BibT_eX]

[DOI]

CoRR, May, 2025

GCAL: Adapting Graph Models to Evolving Domain Shifts.

[BibT_eX]

[DOI]

CoRR, May, 2025

NeuBM: Mitigating Model Bias in Graph Neural Networks through Neutral Input Calibration.

[BibT_eX]

[DOI]

Jiawei Gu

Ziyue Qiao

Xiao Luo

CoRR, May, 2025

SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps.

[BibT_eX]

[DOI]

Jiawei Gu

Ziyue Qiao

Zechao Li

CoRR, May, 2025

Rethinking Graph Contrastive Learning through Relative Similarity Preservation.

[BibT_eX]

[DOI]

CoRR, May, 2025

Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, April, 2025

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization.

[BibT_eX]

[DOI]

CoRR, April, 2025

Unicorn: Text-Only Data Synthesis for Vision Language Model Training.

[BibT_eX]

[DOI]

CoRR, March, 2025

Large Language Model Agent: A Survey on Methodology, Applications and Challenges.

[BibT_eX]

[DOI]

CoRR, March, 2025

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

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, February, 2025

On the Homophily of Heterogeneous Graphs: Understanding and Unleashing.

[BibT_eX]

[DOI]

CoRR, January, 2025

GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2025

MATE: Masked optimal transport with dynamic selection for partial label graph learning.

[BibT_eX]

[DOI]

Artif. Intell., 2025

Towards Continuous Reuse of Graph Models via Holistic Memory Diversification.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Fastft: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

A Survey on Foundation Language Models for Single-cell Biology.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Single-View Graph Contrastive Learning with Soft Neighborhood Awareness.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Cluster-guided Contrastive Class-imbalanced Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning.

[BibT_eX]

[DOI]

ACM Trans. Web, May, 2024

Information filtering and interpolating for semi-supervised graph domain adaptation.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

Focus on informative graphs! Semi-supervised active learning for graph-level classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

A Comprehensive Survey on Deep Graph Representation Learning.

[BibT_eX]

[DOI]

Neural Networks, 2024

KFCC: A differentiation-aware and keyword-guided fine-grain code comment generation model.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

SpikEmo: Enhancing Emotion Recognition With Spiking Temporal Dynamics in Conversations.

[BibT_eX]

[DOI]

Xiaomin Yu

Feiyang Wang

Ziyue Qiao

CoRR, 2024

Holistic Memory Diversification for Incremental Learning in Growing Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in Surface Electromyographic Signal Analysis.

[BibT_eX]

[DOI]

CoRR, 2024

SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Big Data, February, 2023

A Comprehensive Survey on Deep Graph Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Semi-supervised Domain Adaptation in Graph Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

A new Asymmetric Link Quality Routing protocol (ALQR) for heterogeneous WSNs.

[BibT_eX]

[DOI]

Muhammad Iftikhar Hussain

Zulfiqar Ali Zardari

Microprocess. Microsystems, September, 2022

Graph Soft-Contrastive Learning via Neighborhood Ranking.

[BibT_eX]

[DOI]

CoRR, 2022

Who Should Review Your Proposal? Interdisciplinary Topic Path Detection for Research Proposals.

[BibT_eX]

[DOI]

CoRR, 2022

Adaptive Harmony Learning and Optimization for Attributed Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Kernel-based Substructure Exploration for Next POI Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.

[BibT_eX]

[DOI]

CoRR, 2021

LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Data Augmentation for Graph Convolutional Network on Semi-supervised Classification.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Unsupervised Author Disambiguation using Heterogeneous Graph Convolutional Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Ziyue Qiao

Timeline

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On csauthors.net:

Bibliography

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