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Jiahao Nie

7 papers at tracked venues · 6 at CORE A* · active 2024–2026

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Venues

AAAI ×2CVPR ×2NeurIPS ×2WACV ×1

Frequent coauthors

Wenbin An
×4
Feng Tian
×4
Shijian Lu
×4
Yaqiang Wu
×3
Xiaoqin Zhang
×3
Haonan Lin
×3
Qianying Wang
×3
Mingxiang Cai
×2
Ping Chen
×2
Mingwei Tang
×1
Guang Yang
×1
Ziqing Cui
×1

Papers

  1. Enhancing Retrieval-Augmented Large Vision Language Models via Knowledge Conflict Mitigation
    AAAI 2026 ·
    Wenbin An
    , Jiahao Nie,
    Feng Tian
    ,
    Mingxiang Cai
    ,
    Yaqiang Wu
    ,
    Xiaoqin Zhang
    ,
    Shijian Lu
  2. Multi-Grained Text-Guided Image Fusion for Multi-Exposure and Multi-Focus Scenarios
    WACV 2026 ·
    Mingwei Tang
    , Jiahao Nie,
    Guang Yang
    ,
    Ziqing Cui
    ,
    Jie Li
  3. Boosting Knowledge Utilization in Multimodal Large Language Models via Adaptive Logits Fusion and Attention Reallocation
    NeurIPS 2025 ·
    Wenbin An
    , Jiahao Nie,
    Feng Tian
    ,
    Haonan Lin
    ,
    Mingxiang Cai
    ,
    Yaqiang Wu
    ,
    QianYing Wang
    ,
    Xiaoqin Zhang
    ,
    Shijian Lu
  4. Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention
    CVPR 2025 ·
    Wenbin An
    ,
    Feng Tian
    ,
    Sicong Leng
    , Jiahao Nie,
    Haonan Lin
    ,
    Qianying Wang
    ,
    Ping Chen
    ,
    Xiaoqin Zhang
    ,
    Shijian Lu
  5. Unleashing the Potential of Model Bias for Generalized Category Discovery
    AAAI 2025 ·
    Wenbin An
    ,
    Haonan Lin
    , Jiahao Nie,
    Feng Tian
    ,
    Wenkai Shi
    ,
    Yaqiang Wu
    ,
    Qianying Wang
    ,
    Ping Chen
  6. Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models
    NeurIPS 2024 ·
    Yicheng Xu
    ,
    Yuxin Chen
    , Jiahao Nie,
    Yusong Wang
    ,
    Huiping Zhuang
    ,
    Manabu Okumura
  7. Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining
    CVPR 2024 · Jiahao Nie,
    Yun Xing
    ,
    Gongjie Zhang
    ,
    Pei Yan
    ,
    Aoran Xiao
    ,
    Yap-Peng Tan
    ,
    Alex C. Kot
    ,
    Shijian Lu