Yi Li

Venues

Frequent coauthors

Papers

1. Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models
   AAAI 2026 ·

   Fei Song

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2. Good Gradients Poison Your Model: Evading Defenses in Federated Learning via Boundary-adaptive Perturbation
   AAAI 2026 ·

   Xiaojie Zhao

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3. MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents
   ACL 2026 ·

   Dongming Jiang

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4. NL \Rightarrow Schedule: Evaluate Multitask Scheduling Capability of Large Language Models
   ACL 2026 ·

   Wenrui Liao

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5. PLaST: Towards Paralinguistic-aware Speech Translation
   AAAI 2026 · Yi Li
6. Structure Guided Retrieval-Augmented Generation for Factual Queries
   ACL 2026 ·

   Miao Xie

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7. Trimming the Fat: Redundancy-Aware Acceleration Framework for DGNNs
   AAAI 2026 ·

   Renhong Huang

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8. Change Entity-guided Heterogeneous Representation Disentangling for Change Captioning
   ACL 2025 · Yi Li
9. Efficiently Serving Large Multimodal Models Using EPD Disaggregation
   ICML 2025 ·

   Gursimran Singh

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10. Hybrid Data-Model-Driven External Force Estimation for Manipulators via Generalized Momentum-Based Third-Order Observer*
    IROS 2025 ·

    Haohao Zhang

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11. LEADRE: Multi-Faceted Knowledge Enhanced LLM Empowered Display Advertisement Recommender System
    VLDB 2025 ·

    Fengxin Li

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12. Near-optimal Active Regression of Single-Index Models
    ICLR 2025 · Yi Li
13. ODNS Clustering: Unveiling Client-Side Dependency in Open DNS Infrastructure
    WWW 2025 ·

    Wenhao Wu

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14. RaGNNarok: A Light-Weight Graph Neural Network for Enhancing Radar Point Clouds on Unmanned Ground Vehicles
    IROS 2025 ·

    David Hunt

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15. Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations
    NeurIPS 2025 ·

    Yuhao Yang

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16. Split Adaptation for Pre-trained Vision Transformers
    CVPR 2025 ·

    Lixu Wang

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17. Test-Time Adaptation on Recommender System with Data-Centric Graph Transformation
    IJCAI 2025 ·

    Yating Liu

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18. Topic Guided Multi-faceted Semantic Disentanglement for CTR prediction
    ACM MM 2025 ·

    Fengxin Li

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19. You Only Spectralize Once: Taking a Spectral Detour to Accelerate Graph Neural Network
    NeurIPS 2025 · Yi Li
20. Agnostic Active Learning of Single Index Models with Linear Sample Complexity
    COLT 2024 ·

    Aarshvi Gajjar

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21. BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions
    AAAI 2024 ·

    Wenbo Hu

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22. Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches
    CVPR 2024 · Yi Li
23. High-Accuracy 2-D AoA Estimation Using Lightweight UWB Arrays
    IROS 2024 · Yi Li
24. Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
    ICML 2024 ·

    Toru Shirakawa

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25. Scenario-Driven Cyber-Physical-Social System: Intelligent Workflow Generation Based on Capability
    WWW 2024 · Yi Li
26. Spike-based high energy efficiency and accuracy tracker for Robot
    IROS 2024 ·

    Jinye Qu

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