吴亚楠

吴亚楠，中国农业大学信息与电气工程学院人工智能系专任教师，加拿大康考迪亚大学客座助理教授，加拿大卡尔顿大学博士后。主要研究开放世界的场景理解与目标识别，着力解决 AI 模型在未知环境中的泛化瓶颈。重点围绕“未知类别”与“未知域”双重挑战展开：前者聚焦新类持续涌现、大模型先验缺失的复杂类别、大规模开集检索及无监督新类发现；后者涵盖环境变迁、传感器差异、多模态融合及视角与光照变化等。此外，还致力于构建超越传统“蛮力”监督学习方法的人工智能模型，旨在实现 AI 模型的个性化、灵活性，使其能够以最小的努力轻松适应到不同场景。

近五年内，以第一或通讯作者身份发表学术论文16篇，均为领域内顶级或知名期刊和会议论文，其中，人工智能领域顶级会议13篇（包括CCF A类论文11篇，CCF B类论文2篇），SCI期刊论文3篇（包括中科院一区论文2篇，中科院四区论文1篇）。在学术活动方面，积极参与国际学术社区，担任Computer Vision and Pattern Recognition、International Conference on Computer Vision、Neural Information Processing Systems、IEEE Transactions on Image Processing等多个顶级会议和期刊的审稿人，并多次受邀在国际学术会议上作学术报告。

在读本科生：

陈泰来（2022-）

闫宇涵（2023-CVPR），张博涵（2023-CVPRF），唐卫东（2023-） 

联合培养硕士生：

孙铭君（2025-）

联合培养博士生：

孟琦（2025-），冯煜（2025-）

News

• [Feb. 2026] Two papers have been accepted by CVPR2026.

• [Sep. 2025] I serve as a reviewer of CVPR2026.

• [Aug. 2025] I serve as a reviewer of AAAI2026.

• [Jul.  2025] Our paper about Training-free Test-Time Domain Adaptation is accepted to ICCV2025.

• [May. 2025] Our paper about Generalized Category Discovery is accepted to ACMMM2025. 

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Selected Publications[Google Scholar]

• 2026

1. TALON: Test-time Adaptive Learning for On-the-Fly Category Discovery

   Yanan Wu, Yuhan Yan, Tailai Chen, Zhenbo Li

   IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. CCF-A

2. Learning through Creation: A Hash-Free Framework for On-the-Fly Category Discovery

   Bohan Zhang, Weidong Tang, Zhenbo Li, Yanan Wu* (通讯作者)

   IEEE/CVF Conference on Computer Vision and Pattern Recognition Findings (CVPRF), 2026. CCF-A

• 2025

1. Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation

   ZhiXiang Chi, Yanan Wu, Yang Wang, Konstantinos N. Plataniotis

   IEEE/CVF International Conference on Computer Vision (ICCV), 2025. CCF-A

2.  Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation

   Zhixiang Chi, Li Gu, Huan Liu, Ziqiang Wang, Yanan Wu*, Yang Wang, Konstantinos N Plataniotis 

   International Conference on Learning Representations (ICLR), 2025. CCF-A，通讯作者

3. Collaborative Cloud-edge Generalized Category Discovery

   Yingbing Liu, Fei Ma, Yanan Wu, Xinxin Zuo, Fan Zhang, Yang Wang.

   ACM International Conference on Multimedia (ACM MM), 2025. CCF-A

• 2024

1. Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization

   Yanan Wu, Zhixiang Chi, Yang Wang, Konstantinos N Plataniotis, Songhe Feng

   AAAI Conference on Artificial Intelligence (AAAI), 2024. CCF-A, Oral-Presentation-1.8%

2. Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams

   Ziqiang Wang, Zhixiang Chi, Yanan Wu, Zhi Liu, Yang Wang. 

   European Conference on Computer Vision(ECCV), 2024. CCF-B

3. Task Consistent Prototype Learning for Incremental Few-Shot Semantic Segmentation

   Wenbo Xu, Yanan Wu, Haoran Jiang, Yang Wang, Qiang Wu, Jian Zhang

   International Conference on Pattern Recognition(ICPR), 2024. CCF-B

• 2023

1. MetaGCD: Learning to Continually Learn in Generalized Category Discovery

   Yanan Wu, Zhixiang Chi,Yang Wang, Songhe Feng 

   IEEE/CVF International Conference on Computer Vision (ICCV), 2023. CCF-A

2. MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning

   Yanan Wu, Tengfei Liang, Songhe Feng, Yi Jin, Yang Wang

   AAAI Conference on Artificial Intelligence (AAAI), 2023. CCF-A

3. Transformer Driven Matching Selection Mechanism for Multi-Label Image Classification

   Yanan Wu, Songhe Feng, Gongpei Zhao, Yi Jin

   IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023. CCF-B, 中科院一区SCI An1

4. Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition

   Yanan Wu, Songhe Feng, Yang Wang. 

   IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023. CCF-B, 中科院一区SCI An1

• 2022 and Before

1. GM-MLIC: Graph Matching based Multi-Label Image Classifification

   Yanan Wu, He Liu, Songhe Feng, Gengyu Lyu, Zizhang Wu

   IEEE/CVF International Joint Conference on Artificial Intelligence, (IJCAI), 2021. CCF-A

2. L4Net: An Anchor-Free Generic Object Detector with Attention Mechanism for Autonomous Driving

   Yanan Wu, Songhe Feng, Xiankai Huang, Zizhang Wu. 

   IET Computer Vision, 2021. CCF-C 中科院四区SCI An4

3. Deep Graph Matching for Partial Label Learning

   Gengyu Lyu^#, Yanan Wu^#, Songhe Feng. 

   International Joint Conference on Artificial Intelligence (IJCAI), 2022. CCF-A, 共同一作

4. Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning

   Gengyu Lyu, Xiang Deng, Yanan Wu, Songhe Feng. 

   AAAI Conference on Artificial Intelligence (AAAI), 2022. CCF-A

1. Conference Service

   Reviewer

   IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024-2025)

   International Conference on Computer Vision (ICCV 2023-2025)

   Conference on Neural Information Processing Systems (NeurIPS 2025)

   European Conference on Computer Vision (ECCV 2024)

   AAAI Conference on Artificial Intelligence (AAAI 2023–2025)

   AAAI Conference on Artificial Intelligence (AAAI 2023–2025)

   ACM International Conference on Multimedia (ACM MM 2023–2025)

   
   

2.  Journal Service

   Reviewer

   IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI)

   IEEE Transactions on Multimedia(TMM)

   IEEE Transactions on Image Processing(TIP)

   IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

   IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)