PPaperPicks

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

Guangquan Zhang
×20
Zhen Fang
×12
Junyu Xuan
×8
En Yu
×7
Bo Peng
×6
Mengjia Wu
×4
Yi Zhang
×4
Xiaoyu Yang
×4
Mengjing Wu
×4
Runsong Jia
×3
Ying Ding
×3
Pengqian Lu
×3

Papers

  1. Agent-Enhanced Heterogeneous Graph RAG for Academic Question Answering
    WWW 2026 ·
    Runsong Jia
    ,
    Mengjia Wu
    ,
    Ying Ding
    , Jie Lu,
    Yi Zhang
  2. Autonomous Concept Drift Threshold Determination
    AAAI 2026 ·
    Pengqian Lu
    , Jie Lu,
    Anjin Liu
    ,
    En Yu
    ,
    Guangquan Zhang
  3. Debiased Negative Mining Improves Out-of-distribution Detection with Pre-trained Vision-Language Models
    SIGKDD 2026 ·
    Bo Peng
    , Jie Lu,
    Guangquan Zhang
    ,
    Zhen Fang
  4. Discovering Mixture Skills for Unsupervised Reinforcement Learning
    AAAI 2026 ·
    Nelson Ma
    ,
    Junyu Xuan
    ,
    Guangquan Zhang
    , Jie Lu
  5. Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning
    AAAI 2026 ·
    En Yu
    , Jie Lu,
    Kun Wang
    ,
    Xiaoyu Yang
    ,
    Guangquan Zhang
  6. Evidence-Aligned Entity Verification for Hallucination Detection in Retrieval-Augmented Generation
    ACL 2026 ·
    Runsong Jia
    ,
    Zhen Fang
    ,
    Mengjia Wu
    , Jie Lu,
    Yi Zhang
  7. From Newborn to Impact: Bias-Aware Citation Prediction
    WWW 2026 ·
    Mingfei Lu
    ,
    Mengjia Wu
    ,
    Jiawei Xu
    ,
    Weikai Li
    ,
    Feng Liu
    ,
    Ying Ding
    ,
    Yizhou Sun
    , Jie Lu,
    Yi Zhang
  8. Generalized Incremental Learning under Concept Drift across Evolving Data Streams
    WWW 2026 ·
    En Yu
    , Jie Lu,
    Guangquan Zhang
  9. PARS: Partial-Label-Learning-inspired Recommender Systems
    AAAI 2026 ·
    Shanshan Ye
    ,
    Kezhi Lu
    ,
    Guangquan Zhang
    , Jie Lu
  10. Partial Label Learning-Inspired Denoising Implicit Feedback for Recommendation
    SIGIR 2026 ·
    Huilin Chen
    , Jie Lu,
    Kezhi Lu
    ,
    Zhen Fang
    ,
    Guangquan Zhang
  11. TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG
    ACL 2026 ·
    Pengqian Lu
    , Jie Lu,
    Anjin Liu
    ,
    Guangquan Zhang
  12. AI for Women's Health: Framework and Focus Areas
    WWW 2025 · Jie Lu,
    Angela Dawson
    ,
    Kairui Guo
    ,
    Deborah Fox
    ,
    Fahimeh Ramezani
    ,
    Susan Morton
    ,
    Kathleen Baird
    ,
    Zelia Soo
    ,
    Kezhi Lu
    ,
    Guodong Long
    ,
    Debra Anderson
  13. Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards
    ICLR 2025 ·
    Xiaoyu Yang
    , Jie Lu,
    En Yu
  14. 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
  15. Are We Really Making Recommendations Robust? Revisiting Model Evaluation for Denoising Recommendation
    RecSys 2025 ·
    Guohang Zeng
    , Jie Lu,
    Guangquan Zhang
  16. Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning
    NeurIPS 2025 ·
    Wei Duan
    , Jie Lu,
    Junyu Xuan
  17. Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space
    ICLR 2025 ·
    Mengjing Wu
    ,
    Junyu Xuan
    , Jie Lu
  18. Distributional Prototype Learning for Out-of-distribution Detection
    SIGKDD 2025 ·
    Bo Peng
    , Jie Lu,
    Yonggang Zhang
    ,
    Guangquan Zhang
    ,
    Zhen Fang
  19. Early Concept Drift Detection via Prediction Uncertainty
    AAAI 2025 ·
    Pengqian Lu
    , Jie Lu,
    Anjin Liu
    ,
    Guangquan Zhang
  20. Functional Stochastic Gradient MCMC for Bayesian Neural Networks
    AISTATS 2025 ·
    Mengjing Wu
    ,
    Junyu Xuan
    , Jie Lu
  21. HetGCoT: Heterogeneous Graph-Enhanced Chain-of-Thought LLM Reasoning for Academic Question Answering
    EMNLP 2025 ·
    Runsong Jia
    ,
    Mengjia Wu
    ,
    Ying Ding
    , Jie Lu,
    Yi Zhang
  22. Learning Robust Spectral Dynamics for Temporal Domain Generalization
    NeurIPS 2025 ·
    En Yu
    , Jie Lu,
    Xiaoyu Yang
    ,
    Guangquan Zhang
    ,
    Zhen Fang
  23. MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection
    ACM MM 2025 ·
    Kuo Shi
    , Jie Lu,
    Shanshan Ye
    ,
    Guangquan Zhang
    ,
    Zhen Fang
  24. On the Provable Importance of Gradients for Autonomous Language-Assisted Image Clustering
    ICCV 2025 ·
    Bo Peng
    , Jie Lu,
    Guangquan Zhang
    ,
    Zhen Fang
  25. Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer
    ICLR 2025 ·
    Ningyuan Zhang
    , Jie Lu,
    Keqiuyin Li
    ,
    Zhen Fang
    ,
    Guangquan Zhang
  26. Towards Safe Machine Unlearning: A Paradigm that Mitigates Performance Degradation
    WWW 2025 ·
    Shanshan Ye
    , Jie Lu,
    Guangquan Zhang
  27. Walking the Tightrope: Autonomous Disentangling Beneficial and Detrimental Drifts in Non-Stationary Custom-Tuning
    NeurIPS 2025 ·
    Xiaoyu Yang
    , Jie Lu,
    En Yu
  28. 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
  29. Functional Wasserstein Bridge Inference for Bayesian Deep Learning
    UAI 2024 ·
    Mengjing Wu
    ,
    Junyu Xuan
    , Jie Lu
  30. Functional Wasserstein Variational Policy Optimization
    UAI 2024 ·
    Junyu Xuan
    ,
    Mengjing Wu
    ,
    Zihe Liu
    , Jie Lu
  31. Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
    IJCAI 2024 ·
    Wei Duan
    , Jie Lu,
    Junyu Xuan
  32. Knowledge Distillation with Auxiliary Variable
    ICML 2024 ·
    Bo Peng
    ,
    Zhen Fang
    ,
    Guangquan Zhang
    , Jie Lu
  33. Learning to Shape In-distribution Feature Space for Out-of-distribution Detection
    NeurIPS 2024 ·
    Yonggang Zhang
    , Jie Lu,
    Bo Peng
    ,
    Zhen Fang
    ,
    Yiu-ming Cheung
  34. Online Boosting Adaptive Learning under Concept Drift for Multistream Classification
    AAAI 2024 ·
    En Yu
    , Jie Lu,
    Bin Zhang
    ,
    Guangquan Zhang
  35. Towards Robustness Prompt Tuning with Fully Test-Time Adaptation for CLIP's Zero-Shot Generalization
    ACM MM 2024 ·
    Ran Wang
    ,
    Hua Zuo
    ,
    Zhen Fang
    , Jie Lu