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Jie Lu

University of Technology Sydney, Faculty of Engineering and Information Technology, Australia

35 papers at tracked venues · 28 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-0690-4732 ↗Google Scholar ↗Homepage ↗

Venues

AAAI ×6NeurIPS ×5WWW ×5ICLR ×3ACL ×2ACM MM ×2IJCAI ×2SIGKDD ×2UAI ×2AISTATS ×1EMNLP ×1ICCV ×1ICML ×1RecSys ×1SIGIR ×1

Frequent coauthors

Bo Peng
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En Yu
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Runsong Jia
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Pengqian Lu
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Mengjing Wu
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Shanshan Ye
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Xiaoyu Yang
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Wei Duan
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Nelson Ma
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Mingfei Lu
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Huilin Chen
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Guohang Zeng
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Papers

  1. Agent-Enhanced Heterogeneous Graph RAG for Academic Question Answering
    WWW 2026 ·
    Runsong Jia
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  2. Autonomous Concept Drift Threshold Determination
    AAAI 2026 ·
    Pengqian Lu
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  3. Debiased Negative Mining Improves Out-of-distribution Detection with Pre-trained Vision-Language Models
    SIGKDD 2026 ·
    Bo Peng
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  4. Discovering Mixture Skills for Unsupervised Reinforcement Learning
    AAAI 2026 ·
    Nelson Ma
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  5. Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning
    AAAI 2026 ·
    En Yu
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  6. Evidence-Aligned Entity Verification for Hallucination Detection in Retrieval-Augmented Generation
    ACL 2026 ·
    Runsong Jia
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  7. From Newborn to Impact: Bias-Aware Citation Prediction
    WWW 2026 ·
    Mingfei Lu
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  8. Generalized Incremental Learning under Concept Drift across Evolving Data Streams
    WWW 2026 ·
    En Yu
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  9. PARS: Partial-Label-Learning-inspired Recommender Systems
    AAAI 2026 ·
    Shanshan Ye
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  10. Partial Label Learning-Inspired Denoising Implicit Feedback for Recommendation
    SIGIR 2026 ·
    Huilin Chen
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  11. TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG
    ACL 2026 ·
    Pengqian Lu
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  12. AI for Women's Health: Framework and Focus Areas
    WWW 2025 · Jie Lu
  13. Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards
    ICLR 2025 ·
    Xiaoyu Yang
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  14. An Information-theoretical Framework for Understanding Out-of-distribution Detection with Pretrained Vision-Language Models
    NeurIPS 2025 ·
    Bo Peng
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  15. Are We Really Making Recommendations Robust? Revisiting Model Evaluation for Denoising Recommendation
    RecSys 2025 ·
    Guohang Zeng
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  16. Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning
    NeurIPS 2025 ·
    Wei Duan
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  17. Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space
    ICLR 2025 ·
    Mengjing Wu
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  18. Distributional Prototype Learning for Out-of-distribution Detection
    SIGKDD 2025 ·
    Bo Peng
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  19. Early Concept Drift Detection via Prediction Uncertainty
    AAAI 2025 ·
    Pengqian Lu
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  20. Functional Stochastic Gradient MCMC for Bayesian Neural Networks
    AISTATS 2025 ·
    Mengjing Wu
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  21. HetGCoT: Heterogeneous Graph-Enhanced Chain-of-Thought LLM Reasoning for Academic Question Answering
    EMNLP 2025 ·
    Runsong Jia
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  22. Learning Robust Spectral Dynamics for Temporal Domain Generalization
    NeurIPS 2025 ·
    En Yu
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  23. MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection
    ACM MM 2025 ·
    Kuo Shi
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  24. On the Provable Importance of Gradients for Autonomous Language-Assisted Image Clustering
    ICCV 2025 ·
    Bo Peng
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  25. Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer
    ICLR 2025 ·
    Ningyuan Zhang
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  26. Towards Safe Machine Unlearning: A Paradigm that Mitigates Performance Degradation
    WWW 2025 ·
    Shanshan Ye
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  27. Walking the Tightrope: Autonomous Disentangling Beneficial and Detrimental Drifts in Non-Stationary Custom-Tuning
    NeurIPS 2025 ·
    Xiaoyu Yang
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  28. A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points
    IJCAI 2024 ·
    Zihe Liu
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  29. Functional Wasserstein Bridge Inference for Bayesian Deep Learning
    UAI 2024 ·
    Mengjing Wu
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  30. Functional Wasserstein Variational Policy Optimization
    UAI 2024 ·
    Junyu Xuan
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  31. Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
    IJCAI 2024 ·
    Wei Duan
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  32. Knowledge Distillation with Auxiliary Variable
    ICML 2024 ·
    Bo Peng
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  33. Learning to Shape In-distribution Feature Space for Out-of-distribution Detection
    NeurIPS 2024 ·
    Yonggang Zhang
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  34. Online Boosting Adaptive Learning under Concept Drift for Multistream Classification
    AAAI 2024 ·
    En Yu
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  35. Towards Robustness Prompt Tuning with Fully Test-Time Adaptation for CLIP's Zero-Shot Generalization
    ACM MM 2024 ·
    Ran Wang
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