PPaperPicks

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

Jie Lu
×20
Zhen Fang
×9
En Yu
×5
Bo Peng
×5
Pengqian Lu
×3
Anjin Liu
×3
Shanshan Ye
×3
Junyu Xuan
×2
Xiaoyu Yang
×2
Kezhi Lu
×2
Nelson Ma
×1
Kun Wang
×1

Papers

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