【详细信息】

张亚超，博士，现为厦门大学信息学院计算机科学与技术系助理教授，硕士生导师。2022年6月于厦门大学获得计算机科学与技术专业工学博士学位，2022年9月至2024年10月清华大学从事博士后工作，2024年11月加入厦门大学信息学院。

目前主要研究方向为多模态3D场景感知，包含多模态学习、跨域学习、弱监督、无监督学习等机器学习前沿领域。

目前已发表高水平论文30余篇，论文主要发表在人工智能和计算机视觉顶级会议（CCF-A类）或顶级期刊，如CVPR、ICCV、NeurIPS、ICLR、AAAI、IJCAI、TNNLS、TCSVT等。主持国家自然科学基金青年项目,参与参与科技创新2030“新一代人工智能”重大项目。任中国自动化学会混合智能专委会委员、以及国际知名期刊、会议审稿人。分别获2022年、2021年福建省计算机学会学术年会 年度优秀论文 一等奖。

招收硕士生和对科研感兴趣的高年级本科生，欢迎对深度学习以及相关领域有兴趣的同学联系我,更多科研论文信息请查看个人主页：https://yachao-zhang.github.io/

【主持项目】

中国博士后基金面上项目，基于跨域语义一致性自学习的点云无监督域自适应分割，2024/01-2024/12，8万元，已结题，主持

【代表性论文】 (1️⃣ Equal contribution, 📧 Corresponding author)

[NeurIPS 2024] UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior

Yao Wu, Mingwei Xing, Yachao Zhang📧, Xiaotong Luo, Yuan Xie, Yanyun Qu📧
Annual Conference on Neural Information Processing Systems (CCF-A)

[NeurIPS 2024] MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models
Zunnan Xu, Yukang Lin，Haonan Han, Sicheng Yang, Ronghui Li, Yachao Zhang📧，Xiu Li📧.
Annual Conference on Neural Information Processing Systems(CCF-A)

[ACMMM 2024] Consistent123: One image to highly consistent 3d asset using case-aware diffusion priors
Yukang Lin，Haonan Han, Chaoqun Gong, Zunnan Xu, Yachao Zhang📧，Xiu Li📧.
ACM International Conference on Multimedia (CCF-A)

[AAAI 2024] Chain of Generation: Multi-Modal Gesture Synthesis via Cascaded Conditional Control
Zunnan Xu，Yachao Zhang📧，Sicheng Yang，Ronghui Li，Xiu Li📧.
Association for the Advance of Artificial Intelligence. (CCF-A)

[AAAI 2024] Cross-Modal Match for Language Conditioned 3D Object Grounding
Yachao Zhang, Runze Hu, Ronghui Li, Yanyun Qu, Yuan Xie, Xiu Li📧.
Association for the Advance of Artificial Intelligence(CCF-A)

[ICCV 2023] Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-Identification
Jiangming Shi1️⃣, Yachao Zhang1️⃣, Xiangbo Yin, Yuan Xie, Zhizhong Zhang, Jianping Fan, zhongchao shi, Yanyun Qu.
IEEE/CVF International Conference on Computer Vision(CCF-A)

[ICCV 2023] Efficient Converted Spiking Neural Network for 3D and 2D Classification
Yuxiang Lan, Yachao Zhang 📧, Xu Ma, Yanyun Qu📧, Yun Fu.
IEEE/CVF International Conference on Computer Vision(CCF-A)

[ICCV 2023] BEV-DG: Cross-Modal Learning under Bird’s-Eye View for Domain Generalization of 3D Semantic Segmentation
Miaoyu Li, Yachao Zhang 📧, Xu Ma, Yanyun Qu📧, Yun Fu.
IEEE/CVF International Conference on Computer Vision(CCF-A)

[AAAI 2024] Weakly Supervised 3D Segmentation via Receptive-driven Pseudo Label Consistency and Structural Consistency
Yuxiang Lan1️⃣, Yachao Zhang1️⃣, Yanyun Qu, Cong Wang, Yuan Xie, Zongze Wu.
Thirty-Seventh AAAI Conference on Artificial Intelligence(CCF-A)

[IJCAI 2023] VS-Boost: Boosting Visual-Semantic Association for Generalized Zero-Shot Learning
Xiaofan Li, Yachao Zhang 📧, Shiran Bian, Yanyun Qu📧, Yuan Xie, Zhongchao Shi, Jianping Fan.
International Joint Conference on Artificial Intelligence (CCF-A)

[ACMMM 2022]Cross-Domain and Cross-Modal Knowledge Distillation in Domain Adaptation for 3D Semantic Segmentation
Miaoyu Li1️⃣,Yachao Zhang1️⃣,Miaoyu Li, Yuan Xie, Zhizhong Zhang, Cuihua Li, Yanyun Qu.
ACM International Conference on Multimedia (CCF-A)

[TNNLS]Learning All-In Collaborative Multiview Binary Representation for Clustering
Yachao Zhang, Yuan Xie, Zongze Wu, Cuihua Li, Yanyun Qu.
Transactions on Neural Networks and Learning Systems (JCR-1/CCF-B)

[ACMMM 2022]SSE-xMUDA: Self-supervised Exclusive Learning for 3D Segmentation in Cross-Modal Unsupervised Domain Adaptation
Yachao Zhang,Miaoyu Li, Yuan Xie, Zhizhong Zhang, Cuihua Li, Yanyun Qu.
ACM International Conference on Multimedia (CCF-A)

[ICCV 2021]Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation
Yachao Zhang, Yanyun Qu, Zhonghao Li, Shanshan Zheng, Cuihua Li.
IEEE Conference on International Conference on Computer Vision(CCF-A)

[AAAI 2021]Weakly supervised semantic segmentation for large-scale point cloud
Yachao Zhang, Zonghao Li, Yuan Xie, Yanyun Qu, Cuihua Li, Tao Mei.
Thirty-Fifth AAAI Conference on Artificial Intelligence(CCF-A)