Zheqi Lv

Venues

Frequent coauthors

Papers

1. A Rolling Stone Gathers No Moss: Adaptive Policy Optimization for Stable Self-Evaluation in Large Multimodal Models
   AAAI 2026 ·

   Wenkai Wang

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2. Mitigating Structural Knowledge Collapse in Domain-Specific LLMs via Morpheme-Aware KV-Aggregation
   ACL 2026 ·

   Yuxuan Si

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3. RASTP: Representation-Aware Semantic Token Pruning for Generative Recommendation with Semantic Identifiers
   WWW 2026 ·

   Tianyu Zhan

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4. Scaling and Transferability of Annealing Strategies in Large Language Model Training
   AAAI 2026 ·

   Siqi Wang

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5. ThinkRec: Thinking-based recommendation via LLM
   WWW 2026 ·

   Qihang Yu

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6. Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation
   SIGKDD 2025 · Zheqi Lv
7. Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State Guided Model Updating
   SIGKDD 2025 ·

   Yiyun Zhou

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8. Device-Cloud Collaborative Correction for On-Device Recommendation
   IJCAI 2025 ·

   Tianyu Zhan

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9. Disentangled Knowledge Tracing for Alleviating Cognitive Bias
   WWW 2025 ·

   Yiyun Zhou

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10. Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation
    SIGKDD 2025 ·

    Kairui Fu

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11. Modality-Aware Diffusion Augmentation with Consistent Subspace Disentanglement for Session-based Recommendation
    SIGKDD 2025 ·

    Jiajie Su

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12. Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration
    AAAI 2025 · Zheqi Lv
13. Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract)
    AAAI 2025 ·

    Tianyu Zhan

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14. Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing
    ACM MM 2025 · Zheqi Lv
15. AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation
    ICLR 2024 ·

    Zihao Tang

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16. DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation
    SIGKDD 2024 ·

    Kairui Fu

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17. De-fine: Decomposing and Refining Visual Programs with Auto-Feedback
    ACM MM 2024 ·

    Minghe Gao

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18. Intelligent Model Update Strategy for Sequential Recommendation
    WWW 2024 · Zheqi Lv
19. Learning to Reweight for Generalizable Graph Neural Network
    AAAI 2024 ·

    Zhengyu Chen

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20. Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer
    CVPR 2024 ·

    Wenqiao Zhang

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21. Semantic Codebook Learning for Dynamic Recommendation Models
    ACM MM 2024 · Zheqi Lv