合肥工业大学计算机与信息学院(人工智能学院)教授、博士生导师。入选国家级青年人才计划。曾先后在沃尔玛全球技术中心、京东硅谷研发中心等机构担任资深机器学习工程师、资深数据科学家等职位。作为人工智能与大数据技术专家，拥有超过十五年在机器学习、大数据、计算机视觉等方向的科研与产业经验。曾经在所任职企业担任核心技术负责人，主导多个广告排序、个性化推荐、智能风控和隐私计算平台的算法研发与落地。 2018年毕业于美国罗格斯大学，获计算机博士学位。已在人工智能领域发表高水平论文90余篇，多次担任CVPR、ICML、NeurIPS等顶级会议程序委员会成员，以及十余个知名学术期刊审稿人。曾获沃尔玛科技创新奖等荣誉。

课题组研究方向

• 大模型与智能体

• 分布式机器学习

• 时空大数据建模与应用

  
  

A合肥工业大学计算机与信息学院时空数据智能实验室

• 博士后招聘流程参考 https://ci.hfut.edu.cn/info/1063/15029.htm

• 2027年硕士研究生招生 · 火热开启！

�� 我们是谁？

由工大计算机与信息学院、汽车与交通工程学院国家级青年人才、斯坦福大学全球前2%顶尖科学家等师生组成。我们专注于多模态时空大数据建模与方法创新，并积极探索其在能源系统等实际场景中的落地应用。

实验室主页：https://hfutsti.github.io/

�� 我们的特色

•产研深度融合：与工业界保持紧密联系，学生在读期间不仅能夯实理论，更能深入参与解决真实场景中的挑战性问题

•个性化培养：根据每位同学的职业规划和发展方向，量身定制培养方案，助力你成为更好的自己

•国际化视野：团队教师具有丰富的海外科研与工业界经历，为你提供开阔的学术视野和多元的发展路径

�� 招收计划

2027年计划招收电子信息、计算机科学与技术、信息与通信工程、软件工程、人工智能等方向硕士研究生若干名，欢迎考生联系我们！

�� 联系方式

邮箱：boliu@hfut.edu.cn 

�� 加入我们

如果你对时空数据智能充满好奇，渴望在研究生阶段既仰望星空又脚踏实地，欢迎联系我们！期待与你相遇在合肥工业大学时空数据智能实验室，一起探索未知，创造可能！

谷歌学术主页：https://scholar.google.com/citations?user=2Fe93n8AAAAJ&hl=zh-CN

近年来部分期刊论文发表：

1. Beiyan Liu, Sheng Huang, Bo Liu, Xiaobin Huang, Nankun Mu, Richang Hong, Meng Wang, HDG-CLIP: Hierarchical Dual-Granularity Vision-Semantic Alignment for Open-Vocabulary Multi-Label Image Classification, IEEE Transactions on Image Processing, 2026.

2. Yongle Li, Bo Liu, Sheng Huang, Zheng Zhang, Xiaotong Yuan, Richang Hong, Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation, IEEE Transactions on Multimedia, 2026.

3. Wenhao Tang, Sheng Huang, Heng Fang, Fengtao Zhou, Bo Liu, Qingshan Liu, Multiple Instance Learning Framework with Masked Hard Instance Mining for Gigapixel Histopathology Image Analysis, International Journal of Computer Vision, 2026.

4. Sheng Huang, Xin Zhang, Xiang Zhu, Bo Liu, Fengtao Zhou, Kang Li, Hao Chen, Meng Wang, Scan-invariant Mamba with Differentiated Sequence Contrastive Learning in Computational Pathology, IEEE Transactions on Medical Imaging, 2026.

5. Sheng Huang, Jiexuan Yan, Beiyan Liu, Bo Liu, Richang Hong, Dual-View Alignment Learning with Hierarchical-Prompt for Class-Imbalance Multi-Label Image Classification. IEEE Transactions on Image Processing, 2025.

6. Yalan Kuang, Xiao Liao, Zekun Jiang, Yonghong Gu, Bo Liu, Chaowei Tan, Wei Zhang, Kang Li, Federated Learning-based Prediction of Depression among Adolescents across Multiple Districts in China. Journal of Affective Disorders, 2025.

7. Tao He, Sheng Huang, Wenhao Tang, Bo Liu, Text Kernel Expansion for Eeal-time Scene Text Detection. Pattern Analysis and Applications, 2024.

8. Jiaqing Fan, Shenglong Hu, Long Wang, Kaihua Zhang, Bo Liu, Dual Temporal Memory Network with High-order Spatio-temporal Graph Learning for Video Object Segmentation. Image and Vision Computing, 2024.

8. Zihao Jia, Shengkun Sun, Guangcan Liu, Bo Liu, Mssd: Multi-scale Self-distillation for Object Detection, Visual Intelligence, 2024.

9. Leming Guo, Wanli Xue, Bo Liu, Kaihua Zhang, Tiantian Yuan, Dimitris N. Metaxas, Gloss Prior Guided Visual Feature Learning for Continuous Sign Language Recognition, IEEE Transactions on Image Processing, 2024.

10. Zhibin Zhang, Wanli Xue, Kaihua Zhang, Bo Liu, Chengwei Zhang, Jingen Liu, Shengyong Chen, Learning Self-Corrective Network via Adaptive Self-Labeling and Dynamic NMS for High-Performance Long-Term Tracking, IEEE Transactions on Neural Networks and Learning Systems, 2023.

近年来部分会议论文发表：

1. Wei Xu, Bo Liu, Tingrui Pan, Kang Li, Uncertainty-Driven Evidence Reallocation for Occlusion-Robust Monocular 3D Human Pose Estimation, ACM Multimedia (ACM MM), 2026.

2. Ying Liu, Bo Liu, Sheng Huang, Gang Luo, Wenbo Hu, Meng Wang, Richang Hong, Sparse-Scale Transformer with Bidirectional Awareness for Time Series Forecasting, AAAI Conference on Artificial Intelligence (AAAI), 2026.

3. Xi Liu, Fanfan Ji, Bo Liu and Xiao-Tong Yuan, Hier-pFedMe: Hierarchical Personalized Federated Learning with Moreau Envelopes, IEEE International Conference on Multimedia and Expo (ICME), 2025.

4. Jiexuan Yan, Sheng Huang, Nankun Mu, Luwen Huangfu, Bo Liu, Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image Classification, ACM Multimedia (ACM MM), 2024.

5. Heng Fang, Sheng Huang, Wenhao Tang, Luwen Huangfu, Bo Liu, SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification, ACM Multimedia (ACM MM), 2024.

6. Wenhao Tang, Fengtao Zhou, Sheng Huang, Xiang Zhu, Yi Zhang, Bo Liu, Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

7. Huihui Song, Tiankang Su, Yuhui Zheng, Kaihua Zhang, Bo Liu, Dong Liu, Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation, AAAI Conference on Artificial Intelligence (AAAI), 2024.