PPaperPicks

Lin Zuo

9 papers at tracked venues · 9 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Mengmeng Jing
×8
Biao Chen
×4
Yongqi Ding
×4
Kunshan Yang
×3
Pei He
×3
Kunbin He
×2
Yunqian Yu
×2
Tonglan Xie
×2
Yuchen Wang
×1
Yunya Zhang
×1
Xiangxu Zhao
×1
Jiaqiao Chen
×1

Papers

  1. Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models
    AAAI 2026 ·
    Biao Chen
    , Lin Zuo,
    Mengmeng Jing
    ,
    Kunbin He
    ,
    Yuchen Wang
  2. Instruction-Guided Cross-Modal Clustering for Training-Free Visual Token Pruning in Vision-Language Models
    AAAI 2026 ·
    Yunqian Yu
    ,
    Biao Chen
    ,
    Yunya Zhang
    ,
    Tonglan Xie
    ,
    Mengmeng Jing
    , Lin Zuo
  3. Bridging Inter-Class Ambiguity and Spatial Variability in Flexible Object Recognition via Graph Distillation
    ACM MM 2025 · Lin Zuo,
    Kunshan Yang
    ,
    Mengmeng Jing
    ,
    Xiangxu Zhao
    ,
    Jiaqiao Chen
  4. Chain-of-Thought Guided Semantic Debiasing for Low-Shot Vision-Language Tasks
    ACM MM 2025 ·
    Biao Chen
    ,
    Kunbin He
    ,
    Zhikun Zheng
    ,
    Mengmeng Jing
    , Lin Zuo
  5. PA-HOI: A Physics-Aware Human and Object Interaction Dataset
    ACM MM 2025 ·
    Ruiyan Wang
    , Lin Zuo,
    Zonghao Lin
    ,
    Qiang Wang
    ,
    Zhengxue Cheng
    ,
    Rong Xie
    ,
    Jun Ling
    ,
    Li Song
  6. Rethinking Spiking Neural Networks from an Ensemble Learning Perspective
    ICLR 2025 ·
    Yongqi Ding
    , Lin Zuo,
    Mengmeng Jing
    ,
    Pei He
    ,
    Hanpu Deng
  7. Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers
    NeurIPS 2025 ·
    Yongqi Ding
    , Lin Zuo,
    Mengmeng Jing
    ,
    Kunshan Yang
    ,
    Pei He
    ,
    Tonglan Xie
  8. Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks
    SIGKDD 2025 · Lin Zuo,
    Yongqi Ding
    ,
    Mengmeng Jing
    ,
    Kunshan Yang
    ,
    Biao Chen
    ,
    Yunqian Yu
  9. Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks
    AAAI 2024 ·
    Yongqi Ding
    , Lin Zuo,
    Mengmeng Jing
    ,
    Pei He
    ,
    Yongjun Xiao