Longfei Li

Venues

Frequent coauthors

Papers

1. Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems
   WWW 2026 ·

   Jiaming Zhang

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2. A Unified Invariant Learning Framework for Graph Classification
   SIGKDD 2025 ·

   Yongduo Sui

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3. AntAkso: Claims Management System for Health Insurance in Alipay
   SIGKDD 2025 ·

   Qitao Shi

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4. Controllable Unlearning for Image-to-Image Generative Models via ϵ-Constrained Optimization
   ICLR 2025 ·

   Xiaohua Feng

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5. Fine-Grained Zero-Shot Composed Image Retrieval with Complementary Visual-Semantic Integration
   ICDM 2025 ·

   Yongcong Ye

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6. Martian World Model: Controllable Video Synthesis with Physically Accurate 3D Reconstructions
   NeurIPS 2025 · Longfei Li
7. Provably Efficient Online RLHF with One-Pass Reward Modeling
   NeurIPS 2025 · Long-Fei Li
8. An Active Masked Attention Framework for Many-to-Many Cross-Domain Recommendations
   ACM MM 2024 ·

   Feng Zhu

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9. Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations
   AAAI 2024 ·

   Junpeng Fang

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10. Collaborative Refining for Learning from Inaccurate Labels
    NeurIPS 2024 ·

    Bin Han

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11. Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects
    CIKM 2024 ·

    Dong Yao

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12. Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge
    WWW 2024 ·

    Junpeng Fang

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13. Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding
    WSDM 2024 ·

    Ya-Lin Zhang

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14. Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation
    AAAI 2024 · Long-Fei Li
15. Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models
    SIGIR 2024 ·

    Yankun Ren

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16. GATS: Generative Audience Targeting System for Online Advertising
    SIGIR 2024 ·

    Cong Jiang

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17. Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition
    AISTATS 2024 · Long-Fei Li
18. Invariant Graph Learning for Causal Effect Estimation
    WWW 2024 ·

    Yongduo Sui

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19. LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
    AAAI 2024 ·

    Yan Wang

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20. Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs
    NeurIPS 2024 · Long-Fei Li
21. Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation
    NeurIPS 2024 · Long-Fei Li
22. Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources
    ICML 2024 ·

    Yi-Xuan Sun

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23. Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction
    AAAI 2024 ·

    Zhixuan Chu

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24. π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control
    AAAI 2024 ·

    Yin Gu

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