个人简历：
吴垚，男，讲师，于2025年秋加入福建省网络计算与智能信息处理重点实验室、福建省智慧地铁重点实验室。研究方向围绕计算机视觉、深度学习、模式识别，主要有3D场景感知、多模态学习、大模型、域泛化、域自适应、异常检测等。相关研究成果发表重要国际期刊论文4篇（IEEE TNNLS 2篇，IEEE TCSVT 2篇），中国计算机学会推荐A类（CCF-A）国际会议长文8篇（NeurIPS，AAAI，ACMMM，IJCAI），其中2篇论文分别被评为ACMMM 2023和AAAI 2026会议的口头报告文章（Oral Paper）.担任IEEE TIP、IEEE TNNLS、IEEE TCSVT、Expert Systems With Applications, NeuroComputing、NeurIPS、CVPR、ICCV、ECCV、AAAI、ACMMM等国际顶级期刊会议的审稿人。
个人主页：
https://barcaaaa.github.io/
招生信息：
目前正在招收2026级硕士研究生。欢迎勤奋好学，具有良好编程能力和英语能力，希望积攒学术经验和成果，对深度学习、人工智能、3D场景感知、多模态学习、大模型、域自适应、域泛化、异常检测感兴趣的研究生和本科生与我联系。
办公地址：福州大学（旗山校区）数学与计算机学院4号楼127
联系邮箱：wuyao@fzu.edu.cn（有意向的学生请附上个人简历）
学习经历：
2021.09-2025.06 厦门大学，计算机科学与技术，博士（导师：曲延云教授）
2017.09-2019.06 台湾大学，机械工程系统控制，硕士（导师：黄汉邦特聘教授）
2013.09-2017.06 福州大学，机械设计制造及其自动化，本科
科研成果：
===== 会议 =====
1. Yao Wu, Mingwei Xing, Yachao Zhang, FangyongWang, Xiaopei Zhang, Yanyun Qu. BeyondSparse: Facilitating Mamba to Enhance Cross-Domain 3D Semantic Segmentation in Adverse Weather[C]//AAAI Conference on Artificial Intelligence (AAAI). 2026. (CCF-A)
2. Jialong Zhang, Yachao Zhang, Yao Wu, Jiangming Shi, FangyongWang, Yanyun Qu. xMHashSeg: Cross-modal Hash Learning for Training-free Unsupervised LiDAR Semantic Segmentation[C]//AAAI Conference on Artificial Intelligence (AAAI). 2026. (CCF-A)
3. Jianxiang Xie, Yao Wu, Yachao Zhang, Xiaopei Zhang, Yuan Xie, Yanyun Qu. PLATO-TTA: Prototype-Guided Pseudo-Labeling and Adaptive Tuning for Multi-Modal Test-Time Adaptation of 3D Segmentation[C]//ACM International Conference on Multimedia (ACM MM). 2025: 2226-2234. (CCF-A)
4. Jianxiang Xie, Yao Wu, Yachao Zhang, Zhongchao Shi, Jianping Fan, Yuan Xie, Yanyun Qu. Omni-Query Active Learning for Source-Free Domain Adaptive Cross-Modality 3D Semantic Segmentation[C]//AAAI Conference on Artificial Intelligence (AAAI). 2025: 8709-8717. (CCF-A)
5. Yao Wu, Mingwei Xing, Yachao Zhang, Xiaotong Luo, Yuan Xie, Yanyun Qu. UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior [C]//Annual Conference on Neural Information Processing Systems (NeurIPS). 2024: 101223-101249. (CCF-A)
6. Yao Wu, Mingwei Xing, Yachao Zhang, Yuan Xie, Yanyun Qu. CLIP2UDA: Making Frozen CLIP Reward Unsupervised Domain Adaptation in 3D Semantic Segmentation [C]//ACM International Conference on Multimedia (ACM MM). 2024: 8662-8671. (CCF-A)
7. Zuo Zuo, Yao Wu, Baoqiang Li, You Zhou, Jiahao Dong, Lei Zhou, Yanyun Qu, Zongze Wu. CLIP-FSAC: Boosting CLIP for Few-Shot Anomaly Classification with Synthetic Anomalies[C]//International Joint Conference on Artificial Intelligence (IJCAI). 2024: 1834-1842. (CCF-A)
8. Yao Wu, Mingwei Xing, Yachao Zhang, Yuan Xie, Jianping Fan, Zhongchao Shi, Yanyun Qu. Cross-modal Unsupervised Domain Adaptation for 3D Semantic Segmentation via Bidirectional Fusion-then-Distillation [C]//ACM International Conference on Multimedia (ACM MM). 2023: 490-498. (CCF-A)
===== 期刊 =====
1. Yao Wu, Mingwei Xing, Yachao Zhang, Yuan Xie, Yanyun Qu. Fusion-then-Distillation: Toward Cross-modal Positive Distillation for Domain Adaptive 3D Semantic Segmentation [J], IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). 2025, 35(9): 9030-9045. (JCR-1, CCF-B, IF: 11.1)
2. Zuo Zuo, Jiahao Dong, Yao Wu, Yanyun Qu, Zongze Wu. PADiff: Reconstruction From Patch to Pixel with Normality-Guided Diffusion Model for Unsupervised Anomaly Localization[J]//IEEE Transactions on Neural Networks and Learning Systems (TNNLS). 2025, 36(10): 18558-18571. (JCR-1, CCF-B, IF: 10.4)
3. Yao Wu, Xia Kong, Yuan Xie, Yanyun Qu. RE-GZSL: Relation Extrapolation for Generalized Zero-Shot Learning [J], IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). 2025, 35(3): 1973-1986. (JCR-1, CCF-B, IF: 11.1)
4. Yao Wu, Mingwei Xing, Yachao Zhang, Yuan Xie, Zongze Wu, Yanyun Qu. Perturbed Progressive Learning for Semi-Supervised Defect Segmentation [J], IEEE Transactions on Neural Networks and Learning Systems (TNNLS). 2024, 35(5): 6118-6132. (JCR-1, CCF-B, IF: 10.4)
科研项目：
2023.10-2025-12 铁路客运站安全运行环境多模态感知及风险预警研究，高速铁路与城规交通系统技术国家工程研究中心，在研，参与
2022.01-2025-12 面向弱标记的自监督点云语义分割，国家自然科学基金委面上项目，在研，参与
2020.03-2023.10 具有自主学习能力的品质检验关键技术与系统，科技部国家重点研发项目，结题，参与
