侯瑞超，男，中国药科大学副教授、硕士生导师。毕业于南京大学计算机科学与技术系，获得工学博士学位，并入选南京大学优秀博士创新能力提升计划。现担任江苏省信息技术应用学会具身智能专委会副秘书长。目前主要从事面向药物发现的人工智能技术研究和转化落地。先后主持国家级项目1项，作为骨干成员参与多项国家级、省部级科技项目；曾获得中国造船工程学会科技进步奖一等奖，江苏省信息技术应用学会科学青年科技奖、科学技术一等奖。在TCSVT、TCI、ICME等国际高水平刊物上发表论文40余篇，其中1篇入选ESI高被引论文；授权发明专利3项，登记软件著作权12项；指导学生获得“挑战杯”学术科技竞赛人工智能+应用赛道全国一等奖、“挑战杯”创业计划竞赛江苏省一等奖。

更多信息：https://hourc94.github.io/

（1）垂类大模型及多智能体

（2）多模态表征学习

（3）具身认知及可供性

[1] Ruichao Hou, Xingyuan Li, Tongwei Ren, Dongming Zhou, Gangshan Wu, Jinde Cao. HyPSAM: Hybrid Prompt-driven Segment Anything Model for RGB-Thermal Salient Object Detection. IEEE Transactions on Circuits and Systems for Video Technology, 2026, 36: 2697-2712.

[2] Ruichao Hou, Boyue Xu, Tongwei Ren and Gangshan Wu. MTNet: Learning Modality-aware Representation with Transformer for RGBT Tracking. IEEE International Conference on Multimedia and Expo, 2023.

[3] Ruichao Hou, Tongwei Ren, and Gangshan Wu. MIRNet: ARobust RGBT Tracking Jointly with Multi-modal Interaction and Refinement. IEEE International Conference on Multimedia and Expo, 2022.

[4] Ruichao Hou, Dongming Zhou, Rencan Nie, et al. VIF-Net: An Unsupervised Framework for Infrared and Visible Image Fusion. IEEE Transactions on Computational Imaging, 2020, 6: 640-651.

[5] Boyue Xu, Ruichao Hou*, Tongwei Ren, Dongming Zhou, Gangshan Wu, and Jinde Cao. Learning Frequency and Memory-aware Prompts for Multi-modal Object Tracking. Pattern Recognition, 2026.

（1）垂类大模型及多智能体

（2）多模态表征学习

（3）具身认知及可供性

[1] Ruichao Hou, Xingyuan Li, Tongwei Ren, Dongming Zhou, Gangshan Wu, Jinde Cao. HyPSAM: Hybrid Prompt-driven Segment Anything Model for RGB-Thermal Salient Object Detection. IEEE Transactions on Circuits and Systems for Video Technology, 2026, 36: 2697-2712.

[2] Ruichao Hou, Boyue Xu, Tongwei Ren and Gangshan Wu. MTNet: Learning Modality-aware Representation with Transformer for RGBT Tracking. IEEE International Conference on Multimedia and Expo, 2023.

[3] Ruichao Hou, Tongwei Ren, and Gangshan Wu. MIRNet: ARobust RGBT Tracking Jointly with Multi-modal Interaction and Refinement. IEEE International Conference on Multimedia and Expo, 2022.

[4] Ruichao Hou, Dongming Zhou, Rencan Nie, et al. VIF-Net: An Unsupervised Framework for Infrared and Visible Image Fusion. IEEE Transactions on Computational Imaging, 2020, 6: 640-651.

[5] Boyue Xu, Ruichao Hou*, Tongwei Ren, Dongming Zhou, Gangshan Wu, and Jinde Cao. Learning Frequency and Memory-aware Prompts for Multi-modal Object Tracking. Pattern Recognition, 2026.