Ziyue Qiao

Orcid: 0000-0002-9485-4861

According to our database1, Ziyue Qiao authored at least 79 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Online presence:

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Bibliography

2026
Reinforcement Learning Based Model Adaptation and Partition for Dynamic DNN Empowered Mobile Vision.
IEEE Trans. Mob. Comput., July, 2026

Selective Latent Thinking: Adaptive Compression of LLM Reasoning Chains.
CoRR, May, 2026

Seg-Agent: Test-Time Multimodal Reasoning for Training-Free Language-Guided Segmentation.
CoRR, May, 2026

Adapting Graph Models via Target Integrity Assessment and Source Distribution Hypothesis.
IEEE Trans. Neural Networks Learn. Syst., April, 2026

Bridging the Subpopulation Gap: A New Paradigm for Robust Fault Diagnosis in Rotating Machinery.
IEEE Trans. Ind. Informatics, April, 2026

Modality Gap-Driven Subspace Alignment Training Paradigm For Multimodal Large Language Models.
CoRR, February, 2026

Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction.
CoRR, January, 2026

Shift-Resilient Diffusive Imputation for Variable Subset Forecasting.
Proceedings of the ACM Web Conference 2026, 2026

Long-Tailed Recognition of Evidential Experts for Graph-level Classification.
Proceedings of the ACM Web Conference 2026, 2026

Graph Cross-Domain Continual Fine-Tuning via Orthogonal LoRA Routing with Contrastive Expert Specialization.
Proceedings of the ACM Web Conference 2026, 2026

DisCo: Diffusion-guided Unbiased Discriminative Learning for Unsupervised Graph Domain Adaptation.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Calibrating Inference Time Alignment with Sequence-level Risk Accumulation.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Evolving Sparsity: Leveraging Token Importance Dynamics for Efficient LLM Decoding with Sparse Attention.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

GROVER: Graph-guided Representation of Omics and Vision with Expert Regulation for Adaptive Spatial Multi-omics Fusion.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Rewarding the Journey, Not Just the Destination: A Composite Path and Answer Self-Scoring Reward Mechanism for Test-Time Reinforcement Learning.
CoRR, October, 2025

PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering.
ACM Trans. Inf. Syst., July, 2025

Out-of-Distribution Graph Models Merging.
CoRR, June, 2025

SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting.
CoRR, May, 2025

Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning.
CoRR, April, 2025

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization.
CoRR, April, 2025

Unicorn: Text-Only Data Synthesis for Vision Language Model Training.
CoRR, March, 2025

Large Language Model Agent: A Survey on Methodology, Applications and Challenges.
CoRR, March, 2025

Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation.
ACM Trans. Knowl. Discov. Data, February, 2025

On the Homophily of Heterogeneous Graphs: Understanding and Unleashing.
CoRR, January, 2025

Learning Generalizable Contrastive Representations for Graph Zero-Shot Learning.
IEEE Trans. Multim., 2025

GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling.
Sci. China Inf. Sci., 2025

MATE: Masked optimal transport with dynamic selection for partial label graph learning.
Artif. Intell., 2025

Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Activation Shape Matters: OOD Detection with Norm-Entropy Fusion.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Deep Graph Clustering with Disentangled Representation Learning.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Rethinking Graph Contrastive Learning Through Relative Similarity Preservation.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

NeuBM: Mitigating Model Bias in Graph Neural Networks Through Neutral Input Calibration.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

GCAL: Adapting Graph Models to Evolving Domain Shifts.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in sEMG Analysis.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Continuous Reuse of Graph Models via Holistic Memory Diversification.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Fastft: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Reinforcement Learning Based Edge-Assisted Dynamic Inference for Mobile Vision.
Proceedings of the 2025 IEEE Global Communications Conference, 2025

On the Cross-type Homophily of Heterogeneous Graphs: Understanding and Unleashing.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

A Survey on Foundation Language Models for Single-cell Biology.
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.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Single-View Graph Contrastive Learning with Soft Neighborhood Awareness.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Cluster-guided Contrastive Class-imbalanced Graph Classification.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning.
ACM Trans. Web, May, 2024

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

Security Analysis of Large Language Models on API Misuse Programming Repair.
Int. J. Intell. Syst., 2024

KFCC: A differentiation-aware and keyword-guided fine-grain code comment generation model.
Expert Syst. Appl., 2024

SpikEmo: Enhancing Emotion Recognition With Spiking Temporal Dynamics in Conversations.
CoRR, 2024

Holistic Memory Diversification for Incremental Learning in Growing Graphs.
CoRR, 2024

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

Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in Surface Electromyographic Signal Analysis.
CoRR, 2024

SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification.
IEEE Trans. Knowl. Data Eng., September, 2023

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

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

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Semi-supervised Domain Adaptation in Graph Transfer Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

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

2022
A new Asymmetric Link Quality Routing protocol (ALQR) for heterogeneous WSNs.
Microprocess. Microsystems, September, 2022

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

Who Should Review Your Proposal? Interdisciplinary Topic Path Detection for Research Proposals.
CoRR, 2022

Adaptive Harmony Learning and Optimization for Attributed Graph Clustering.
Proceedings of the International Joint Conference on Neural Networks, 2022

Kernel-based Substructure Exploration for Next POI Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2022

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

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.
CoRR, 2021

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

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.
Proceedings of the IEEE International Conference on Data Mining, 2021

Data Augmentation for Graph Convolutional Network on Semi-supervised Classification.
Proceedings of the Web and Big Data - 5th International Joint Conference, 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

Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Unsupervised Author Disambiguation using Heterogeneous Graph Convolutional Network Embedding.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019


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