向金海，计算机系统结构专业博士，华中农业大学信息学院副教授，博士生导师。中国计算机学会高级会员，IEEE Member，中国人工智能学会会员，美国北德克萨斯大学（UNT）访问学者。

研究方向：

计算机视觉、人工智能、机器学习等，主要聚焦于多模态、图像生成、医学图像处理、深度学习理论，以及在工业视觉、智慧农业设施、生物信息等场景应用。承担或参与了国家重点研发、湖北省重大专项、国家自然科学基金等项目等10余项课题。授权专利4项，软著3项。在CVPR、AAAI、BIBM、TCSVT、Neural Networks、Pattern Recognition、ICASSP、Multimedia Tools and Applications等国际会议期刊上以第一作者或通讯作者共发表学术论文40余篇。

教学课程：

开设研究生课程《深度学习》、《医学图像处理》，本科生课程《算法分析与设计》、《海量数据挖掘》等课程。出版教材2部。培养硕士生近20名，多位学生获得校级优秀硕士毕业论文。主持本科生和研究生教学改革项目5项，指导国家级/省级等大学生创新项目多项。

欢迎具有计算机、人工智能、软件工程、信息与计算科学、自动化、生物信息等相关专业背景的同学报考研究生和博士。

代表性论文：

Qilu Shen, Yingjie Wang, Jinhai Xiang*. Towards understanding in-context learning of transformers under non-IID scenarios[C].  AAAI 2026(CCF A) 

Xinwei He, Yansong Zheng, Qianru Han, Zhichuan Wang, yuxuan cai, Yang Zhou, Jingbo Xia, Yulong Wang, Jinhai Xiang, Xiang Bai. DINO Eats CLIP: Adapting Beyond Knowns for Open-set 3D Object Retrieval. CVPR 2026 (CCF A) 

Yali Li, Qianru Han, Xinwei He, Zhi Liu, Jinhai Xiang*.  FusionBridge: An Efficient Fusion Via Feature Disentanglement for Multi-Modal Object Re-Identification. CVPR 2026 Findings. 

Jinhai Xiang, Shuai Guo, Chengxi Sun, et al. Tetrahedron-Net for Medical Image Registration[C]//2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025.（CCF B） 

Y. Zhang, S. Guo, D. Shi and J. Xiang*, Dual decoder UNet with Contrastive learning for Brain Image Registration, 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. （CCF B） 

J. Xiang, Y. Zhang, J. Yu and X. He, BcMatch: Semi-supervised Medical Image Segmentation with Bias Correction, 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. （CCF B） 

J. Qin, J. Yu, J. Xiang, X. He, W. Zhang and L. Wu, AiA-UNet: Attention in Attention for Medical Image Segmentation, 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. (CCF B) 

J. Yu, J. Qin, J. Xiang, X. He, W. Zhang and W. Zhao, Trans-UNeter: A new Decoder of TransUNet for Medical Image Segmentation, 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. (CCF B) 

Y. Zhang, D. Shi, J. Wang, J. Xiang and W. Zhang, CCAC: Contrastive Learning with Channel Attention and Contour Loss for Brain Image Registration, 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. (CCF B) 

Ying Liu, Heng Fan, Xiaohui Yuan, Jinhai Xiang. GL-GAN: Adaptive global and local bilevel optimization for generative adversarial network, Pattern Recognition, 2022. (SCI, CCF B) 

Ying Liu, Heng Fan, Fuchuan Ni, Jinhai Xiang. ClsGAN: Selective Attribute Editing Model based on Classification Adversarial Network[J]. Neural Networks, 2021. (SCI, CCF B) 

C. Hu, Y. Liu, J. Xiang and Z. Chen, "Detection of Crop Leaf Diseases Using Gl-Cgan Based Data Augmentation," 2021 International Conference on Machine Learning and Cybernetics (ICMLC), 2021. 

Lu Xu, Heng Fan, Jinhai Xiang. Hierarchical multi-task network for race, gender and facial attractiveness recognition[C]. 2019 IEEE International Conference on Image Processing (ICIP), 2019. 

 Heng Fan, Lu Xu, Jinhai Xiang*. Complementary Siamese Networks for Robust Visual Tracking[C]. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),2019.（CCF B） 

Heng Fan,Jinhai Xiang*. Robust Visual Tracking With Multitask Joint Dictionary Learning.IEEE Transactions on Circuits and Systems for Video Technology(TCSVT), Vol. 27, Issue: 5, pp1018-1030, May 2017. （SCI, CCF B） 

Heng Fan,Jinhai Xiang*.Robust Visual Tracking via Local-Global Correlation Filter. Association for the Advancement of Artificial Intelligence (AAAI) 2017. （CCF A）

Heng Fan,Jinhai Xiang*, Guoliang Li, Fuchuan Ni. Robust visual tracking via deep discriminative model.2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017. （CCF B）