Hong Liu

Venues

Frequent coauthors

Papers

1. Gamifying Compassion: Mitigating Dialect Prejudice Through An AI-Driven Serious Game
   CHI 2026 ·

   Sicheng Lu

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2. MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings
   ACL 2026 ·

   Haonan Chen

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3. ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models
   AAAI 2025 ·

   Chao Zeng

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4. Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search
   SIGIR 2025 ·

   Yedan Shen

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5. Autonomous Obstacle Avoidance for a Snake Robot with Surface Pressure Sensing
   IROS 2025 ·

   Yongjun Sun

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6. CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search
   NAACL 2025 ·

   Kaixin Wu

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7. Conservative-Radical Complementary Learning for Class-Incremental Medical Image Analysis with Pre-trained Foundation Models
   MICCAI 2025 ·

   Xinyao Wu

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8. D-VST: Diffusion Transformer for Pathology-Correct Tone-Controllable Cross-Dye Virtual Staining of Whole Slide Images
   NeurIPS 2025 ·

   Shurong Yang

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9. DSFC: Deformation-Aware Learning Strategy via Self-sustaining Feedback Cycle for Medical Vision Foundation Model Domain Adaptation
   MICCAI 2025 ·

   Jie Lin

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10. Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-distillation
    MICCAI 2025 ·

    Zheng Wang

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    ,

    Zheng Wang

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11. GraphGPT: Generative Pre-trained Graph Eulerian Transformer
    ICML 2025 ·

    Qifang Zhao

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12. Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection
    InterSpeech 2025 ·

    Yifan Gao

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13. LiD-FL: Towards List-Decodable Federated Learning
    AAAI 2025 · Hong Liu
14. MAAQR: An LLM-based Multi-Agent Framework for Adaptive Query Rewriting in Alipay Search
    SIGIR 2025 ·

    Qi Zheng

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15. One-shot Global Localization through Semantic Distribution Feature Retrieval and Semantic Topological Histogram Registration
    IROS 2025 ·

    Feixuan Huang

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16. PathoPainter: Augmenting Histopathology Segmentation via Tumor-Aware Inpainting
    MICCAI 2025 · Hong Liu
17. RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation
    MICCAI 2025 · Hong Liu
18. Transfer Rule Learning over Large Knowledge Graphs
    WWW 2025 · Hong Liu
19. Audio Generation with Multiple Conditional Diffusion Model
    AAAI 2024 ·

    Zhifang Guo

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20. Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning
    CIKM 2024 · Hong Liu
21. Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking
    CIKM 2024 ·

    Songhao Wu

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22. Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
    ICLR 2024 ·

    Zhiyuan Liu

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23. Dual-Assessment Driven Pruning: Iterative Optimizing Layer-wise Sparsity for Large Language Model
    SIGKDD 2024 ·

    Qinghui Sun

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24. Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation
    AAAI 2024 ·

    Qian Dai

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25. GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks
    WWW 2024 ·

    Mengmei Zhang

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26. Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets
    MICCAI 2024 · Hong Liu
27. Mask-Homo: Pseudo Plane Mask-Guided Unsupervised Multi-Homography Estimation
    AAAI 2024 ·

    Yasi Wang

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28. Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers
    AAAI 2024 ·

    Yuhao Yi

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29. Position: Towards Implicit Prompt For Text-To-Image Models
    ICML 2024 ·

    Yue Yang

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30. SCMIL: Sparse Context-Aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images
    MICCAI 2024 ·

    Zekang Yang

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31. Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
    ICLR 2024 · Hong Liu
32. Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search
    WWW 2024 ·

    Songhao Wu

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