Yu Liang

Venues

Frequent coauthors

Papers

1. ConsistRM: Improving Generative Reward Models via Consistency-Aware Self-Training
   ACL 2026 · Yu Liang
2. Let It Try First: Uncertainty-Guided Retrieval Switching for Retrieval-Augmented Question Answering
   WWW 2026 ·

   Xiaohai Wang

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3. ReflectRM: Boosting Generative Reward Models via Self-Reflection within a Unified Judgment Framework
   ACL 2026 ·

   Kai Qin

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4. Towards Training-Free and Accurate ANN-to-SNN Conversion via Activation-Aware Redistribution
   AAAI 2026 ·

   Honglin Cao

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5. BSO: Binary Spiking Online Optimization Algorithm
   ICML 2025 · Yu Liang
6. Benefits of Machine Learning Explanations: Improved Learning in an AI-assisted Sequence Prediction Task
   IUI 2025 · Yu Liang
7. Binary Event-Driven Spiking Transformer
   IJCAI 2025 ·

   Honglin Cao

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8. Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering
   SIGKDD 2025 ·

   Zhongjin Zhang

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9. Multiview Feature Fusion and Contrastive Learning for Drug-Target Interaction Prediction
   MICCAI 2025 ·

   Xiaoting Zeng

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10. QP-SNN: Quantized and Pruned Spiking Neural Networks
    ICLR 2025 ·

    Wenjie Wei

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11. SDMATTE: Grafting Diffusion Models for Interactive Matting
    ICCV 2025 ·

    Longfei Huang

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12. Spiking Vision Transformer with Saccadic Attention
    ICLR 2025 ·

    Shuai Wang

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13. Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism
    AAAI 2025 · Yu Liang
14. Polyp-Mamba: Polyp Segmentation with Visual Mamba
    MICCAI 2024 ·

    Zhongxing Xu

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15. Q-SNNs: Quantized Spiking Neural Networks
    ACM MM 2024 ·

    Wenjie Wei

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16. Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation
    NeurIPS 2024 ·

    Ruihao Xia

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17. Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation
    IJCAI 2024 ·

    Yanni Xue

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