姓名：石恒璨
职称：教授、岳麓学者、博士生导师
国家级高层次青年人才、湖南省高层次青年人才
邮箱：shihengcan@hnu.edu.cn
一、个人简介
石恒璨，湖南大学教授，岳麓学者，博士生导师，国家级高层次青年人才，湖南省高层次青年人才，机器人视觉感知与控制技术国家工程研究中心王耀南院士团队研究员。围绕人工智能、大模型、计算机视觉、情感计算等开展研究，以第一/通讯作者等在计算机视觉与多媒体顶级期刊会议IJCV、CVPR、ECCV、ACMMM、IEEE TMM、TCSVT、TAFFC等发表接收论文50余篇。曾获2021年中国图像图形学会优秀博士学位论文奖、国家自然科学基金委遥感图像竞赛一等奖、ACMMM多模态情感计算竞赛杰出突破奖、IEEE AIHCIR最佳论文奖等。长期担任计算机视觉顶级会议CVPR、ICCV、ECCV、机器学习顶级会议ICML、ICLR、NeurIPS、多媒体领域顶级会议ACMMM、人工智能顶级会议AAAI、IJCAI、机器人顶级会议ICRA、IROS等网络主席、领域主席、程序委员会委员。担任10余个SCI期刊编委和客座编委，顶级期刊IEEE TPAMI、IJCV、TIP、TMM、TCSVT、TIE、TNNLS、PR等审稿人。
二、研究方向
①. 大模型：多模态大模型、具身智能大模型等
②. 计算机视觉：视觉检测/分割、视觉-语言多模态学习、三维视觉等
③. 情感计算：多模态情绪感知、情感生成、微表情等
三、招生\招聘信息
招收博士后、博士、硕士、本科生。专业不限，但最好有计算机、Python编程、英语等相关基础。
欢迎对人工智能、大模型、计算机视觉、情感计算感兴趣的学生加入我们团队。优秀者可推荐至澳大利亚悉尼大学、莫纳什大学、阿德莱德大学、香港中文大学、香港城市大学等QS前100大学深造或访问交流，腾讯、阿里、百度、字节、商汤等知名企业位于中国、美国、澳大利亚、新加坡等地研发部门工作或实习。
四、教育与工作经历
2024-至今，湖南大学，副教授、教授
2020-2024，澳大利亚莫纳什大学，研究员
2014-2019，电子科技大学，博士
2010-2014，电子科技大学，学士
五、部分代表性科研成果
[1]. Jiateng Liu, Hengcan Shi, Feng Chen, Min Liu, Yaonan Wang, Wenming Zheng, “UGPT: Uncertain Graph Prompt Tuning for Micro-expression Recognition.”IEEE Transactions on Affective Computing (TAFFC), 2026. （情感计算顶级期刊，一区TOP）
[2]. Jiateng Liu, Hengcan Shi, Yaonan Wang, Wenming Zheng, “FPS: Frequency Prompt Synchronization for Micro-expression Recognition.” Pattern Recognition (PR), 2026. （人工智能高水平期刊，一区TOP）
[3]. Hengcan Shi, Munawar Hayat, and Jianfei Cai. “LLMFormer: Large language model for open-vocabulary semantic segmentation.” International Journal of Computer Vision (IJCV), 2025. （机器视觉顶级期刊，CCF-A）
[4]. Jiateng Liu, Hengcan Shi, Haiwen Liang, Xiaolin Xu, Yuan Zong, Yaonan Wang, Wenming Zheng. " NaME: A Natural Micro-expression Dataset for Micro-expression Recognition in the Wild", Proceedings of the 33rd ACM International Conference on Multimedia (ACMMM), 2025. （多媒体顶级会议，CCF-A）
[5]. Jin Ye, Son Duy Dao, Yicheng Wu, Yasmeen George, Thanh Nguyen-Duc, Daniel F Schmidt, Hengcan Shi, Winston Chong, Jianfei Cai, “New Multiple Sclerosis Lesion Segmentation via Calibrated Inter-patch Blending”, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025.（医学机器视觉顶级会议）
[6]. Duy Tho Le, Chenhui Gou, Stavya Datta, Hengcan Shi, Ian Reid, Jianfei Cai, Hamid Rezatofighi, “JRDB-PanoTrack: An open-world panoptic segmentation and tracking robotic dataset in crowded human environments”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. （机器视觉顶级会议，CCF-A）
[7]. Hengcan Shi, Munawar Hayat, and Jianfei Cai. "Unified open-vocabulary dense visual prediction." IEEE Transactions on Multimedia (TMM), 2024. （多媒体顶级期刊，一区TOP，CCF-A）
[8]. Duy-Tho Le, Hengcan Shi, Jianfei Cai, Hamid Rezatofighi, “Diffusion model for robust multi-sensor fusion in 3d object detection and bev segmentation”, European Conference on Computer Vision (ECCV), 2024. （机器视觉顶级会议）
[9]. Hengcan Shi, Munawar Hayat, Jianfei Cai, “Transformer Scale Gate for Semantic Segmentation”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. （机器视觉顶级会议，CCF-A）
[10]. Hengcan Shi, Munawar Hayat, and Jianfei Cai. "Open-vocabulary object detection via scene graph discovery." Proceedings of the 31st ACM International Conference on Multimedia (ACMMM), 2023. （多媒体顶级会议，CCF-A）
[11]. Son Duy Dao, Hengcan Shi, Dinh Phung, Jianfei Cai. "Class Enhancement Losses with Pseudo Labels for Open-Vocabulary Semantic Segmentation." IEEE Transactions on Multimedia (TMM), 2023. （多媒体顶级期刊，一区TOP，CCF-A）
[12]. Hengcan Shi, Munawar Hayat, Yicheng Wu, Jianfei Cai, “ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022. （机器视觉顶级会议，CCF-A）
[13]. Duy Tho Le, Hengcan Shi, Hamid Rezatofighi, Jianfei Cai, “Accurate and real-time 3D pedestrian detection using an efficient attentive pillar network”, IEEE Robotics and Automation Letters (RA-L) 2022. （机器人高水平期刊，二区TOP）
[14]. Tingtian Li, Zixun Sun, Haoruo Zhang, Jin Li, Ziming Wu, Hui Zhan, Yipeng Yu, Hengcan Shi, “Deep Music Retrieval for Fine-Grained Videos by Exploiting Cross-Modal-Encoded Voice-Overs”, Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2021. （信息检索顶级会议，CCF-A）
[15]. Hengcan Shi, Hongliang Li, Qingbo Wu, and King Ngi Ngan, “Query Reconstruction Network for Referring Expression Image Segmentation”, IEEE Transactions on Multimedia (TMM), 2020. （多媒体顶级期刊，一区TOP，CCF-A）
[16]. Heqian Qiu, Hongliang Li, Qingbo Wu, and Hengcan Shi, “Offset Bin Classification Network for Accurate Object Detection”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. （机器视觉顶级会议，CCF-A）
[17]. Heqian Qiu, Hongliang Li, Qingbo Wu, FanmanMeng, Hengcan Shi, Taijin Zhao, and King Ngi Ngan, “Language-Aware Fine-Grained Object Representation for Referring Expression Comprehension”, ACM international conference on Multimedia (ACMMM), 2020. （多媒体顶级会议，CCF-A）
[18]. Heqian Qiu, Hongliang Li, Qingbo Wu, Fanman Meng, Linfeng Xu, King Ngi Ngan, and Hengcan Shi, “Hierarchical Context Features Embedding for Object Detection”, IEEE Transactions on Multimedia (TMM), 2020. （多媒体顶级期刊，一区TOP，CCF-A）
[19]. Hengcan Shi, Hongliang Li, Qingbo Wu, and Zichen Song, “Scene Parsing via Integrated Classification Model and Variance-Based Regularization”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. （机器视觉顶级会议，CCF-A）
[20]. Hengcan Shi, Hongliang Li, Qingbo Wu, FanmanMeng, and King Ngi Ngan, “Boosting scene parsing performance via reliable scale prediction”, ACM international conference on Multimedia (ACMMM), 2018. （多媒体顶级会议，CCF-A, Oral）
[21]. Hengcan Shi, Hongliang Li, Fanman Meng, and Qingbo Wu, “Key-Word-Aware Network for Referring Expression Image Segmentation”, European Conference on Computer Vision (ECCV), 2018. （机器视觉顶级会议）
[22]. Hengcan Shi, Hongliang Li, Fanman Meng, Qingbo Wu, Linfeng Xu, and King N. Ngan,“Hierarchical Parsing Net: Semantic Scene Parsing from Global Scene to Objects”, IEEE Transactions on Multimedia (TMM), 2018 （多媒体顶级期刊，一区TOP，CCF-A）
