Lin Zuo

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Papers

1. Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models
   AAAI 2026 ·

   Biao Chen

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2. Instruction-Guided Cross-Modal Clustering for Training-Free Visual Token Pruning in Vision-Language Models
   AAAI 2026 ·

   Yunqian Yu

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3. Bridging Inter-Class Ambiguity and Spatial Variability in Flexible Object Recognition via Graph Distillation
   ACM MM 2025 · Lin Zuo
4. Chain-of-Thought Guided Semantic Debiasing for Low-Shot Vision-Language Tasks
   ACM MM 2025 ·

   Biao Chen

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5. PA-HOI: A Physics-Aware Human and Object Interaction Dataset
   ACM MM 2025 ·

   Ruiyan Wang

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6. Rethinking Spiking Neural Networks from an Ensemble Learning Perspective
   ICLR 2025 ·

   Yongqi Ding

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7. Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers
   NeurIPS 2025 ·

   Yongqi Ding

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8. Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks
   SIGKDD 2025 · Lin Zuo
9. Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks
   AAAI 2024 ·

   Yongqi Ding

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