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Guangquan Zhang

University of Technology Sydney, Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, NSW, Australia

21 papers at tracked venues · 19 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-3960-0583 ↗Homepage ↗

Venues

AAAI ×6ICML ×2NeurIPS ×2SIGKDD ×2WWW ×2ACL ×1ACM MM ×1ICCV ×1ICLR ×1IJCAI ×1RecSys ×1SIGIR ×1

Frequent coauthors

Bo Peng
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En Yu
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Pengqian Lu
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Shanshan Ye
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Nelson Ma
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Huilin Chen
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Guohang Zeng
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Kuo Shi
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Ningyuan Zhang
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Zihe Liu
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Yunzhuang Shen
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Papers

  1. Autonomous Concept Drift Threshold Determination
    AAAI 2026 ·
    Pengqian Lu
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  2. Debiased Negative Mining Improves Out-of-distribution Detection with Pre-trained Vision-Language Models
    SIGKDD 2026 ·
    Bo Peng
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  3. Discovering Mixture Skills for Unsupervised Reinforcement Learning
    AAAI 2026 ·
    Nelson Ma
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  4. Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning
    AAAI 2026 ·
    En Yu
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  5. Generalized Incremental Learning under Concept Drift across Evolving Data Streams
    WWW 2026 ·
    En Yu
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  6. PARS: Partial-Label-Learning-inspired Recommender Systems
    AAAI 2026 ·
    Shanshan Ye
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  7. Partial Label Learning-Inspired Denoising Implicit Feedback for Recommendation
    SIGIR 2026 ·
    Huilin Chen
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  8. TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG
    ACL 2026 ·
    Pengqian Lu
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  9. An Information-theoretical Framework for Understanding Out-of-distribution Detection with Pretrained Vision-Language Models
    NeurIPS 2025 ·
    Bo Peng
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  10. Are We Really Making Recommendations Robust? Revisiting Model Evaluation for Denoising Recommendation
    RecSys 2025 ·
    Guohang Zeng
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  11. Distributional Prototype Learning for Out-of-distribution Detection
    SIGKDD 2025 ·
    Bo Peng
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  12. Early Concept Drift Detection via Prediction Uncertainty
    AAAI 2025 ·
    Pengqian Lu
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  13. Learning Robust Spectral Dynamics for Temporal Domain Generalization
    NeurIPS 2025 ·
    En Yu
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  14. MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection
    ACM MM 2025 ·
    Kuo Shi
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  15. On the Provable Importance of Gradients for Autonomous Language-Assisted Image Clustering
    ICCV 2025 ·
    Bo Peng
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  16. Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer
    ICLR 2025 ·
    Ningyuan Zhang
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  17. Towards Safe Machine Unlearning: A Paradigm that Mitigates Performance Degradation
    WWW 2025 ·
    Shanshan Ye
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  18. A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points
    IJCAI 2024 ·
    Zihe Liu
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  19. Adaptive Stabilization Based on Machine Learning for Column Generation
    ICML 2024 ·
    Yunzhuang Shen
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  20. Knowledge Distillation with Auxiliary Variable
    ICML 2024 ·
    Bo Peng
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  21. Online Boosting Adaptive Learning under Concept Drift for Multistream Classification
    AAAI 2024 ·
    En Yu
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