Huiping Zhuang

Venues

Frequent coauthors

Papers

1. MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning
   ACL 2026 ·

   Tao Zhang

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2. RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior
   AAAI 2026 ·

   Junyao Yang

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3. Rep Deep & Machine Learning: Exemplar-Free Continual Video Action Recognition via Slow-Fast Collaborative Learning
   AAAI 2026 ·

   Xueyi Zhang

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4. A Bio-inspired Robotic Electric Ray Design of Multimodal Locomotion with Grasping Function
   IROS 2025 ·

   Yuyang Mo

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5. AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models
   CVPR 2025 ·

   Run He

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6. Analytic Continual Test-Time Adaptation for Multi-Modality Corruption
   ACM MM 2025 ·

   Yufei Zhang

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7. AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting
   ACL 2025 ·

   Yang Xiao

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8. Any-SSR: How Recursive Least Squares Works in Continual Learning of Large Language Models
   ICCV 2025 ·

   Kai Tong

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9. C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets
   ECAI 2025 ·

   Kangdao Liu

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10. CFSSeg: Closed-Form Solution for Class-Incremental Semantic Segmentation of 2D Images and 3D Point Clouds
    ACM MM 2025 ·

    Jiaxu Li

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11. GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models
    ACL 2025 ·

    Tao Zhang

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12. GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
    NeurIPS 2025 ·

    Zihao Guo

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13. L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
    ICML 2025 ·

    Xiang Zhang

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14. PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration
    ACL 2025 ·

    Ziqian Zeng

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15. Probabilistic Mixture of Hyperbolic Mamba for Few-Shot Class-Incremental Learning
    ACM MM 2025 ·

    Yawen Cui

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16. ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning
    WACV 2025 ·

    Yi Yang

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17. RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis
    EMNLP 2025 ·

    Jianwei Wang

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18. SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings
    ACL 2025 ·

    Weikai Lu

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19. Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
    ICML 2025 ·

    Run He

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20. WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models
    ICML 2025 ·

    Songbai Tan

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21. Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models
    NeurIPS 2024 ·

    Yicheng Xu

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22. ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference
    AAAI 2024 ·

    Ziqian Zeng

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23. DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning
    AAAI 2024 · Huiping Zhuang
24. F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
    NeurIPS 2024 · Huiping Zhuang
25. GACL: Exemplar-Free Generalized Analytic Continual Learning
    NeurIPS 2024 · Huiping Zhuang
26. MMAL: Multi-Modal Analytic Learning for Exemplar-Free Audio-Visual Class Incremental Tasks
    ACM MM 2024 ·

    Xianghu Yue

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27. Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
    ICML 2024 ·

    Zhenlong Liu

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