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陈福海

来源:bat365中文官方网站     发布日期:2023-09-01    浏览次数:

 

个人简介:

陈福海,男,校特聘副研究员,于2023年秋加入福建省网络计算与智能信息处理重点实验室、福建省智慧地铁重点实验室。主要研究兴趣是计算机视觉、自然语言处理、多模态知识表示与学习、多媒体、机器学习、智能人机交互等。特别是视觉-语言内容理解、多模态语义建模、差异化语义表示与推断。曾在NeurIPS、CVPR、ACM MM、AAAI、IEEE Transactions on Multimedia、IEEE Transactions on Affective Computing等国际顶级期刊和会议上发表10篇论文,申请并授权发明专利多项。担任IEEE TMM、ACM TOMM、Pattern Recognition期刊审稿人。MICCAI 2019挑战赛组织委员会成员。国际期刊Electronics编辑。福州数据技术研究院有限公司合作专家。

 

招生信息:

实验室研究组:多媒体感知与理解组,MMPU (Multi-media Perception and Understanding)

 

目前硕士招生专业:计算机科学与技术、软件工程等。欢迎勤奋好学,具有良好编程、数学、英语能力,对计算机视觉与自然语言处理交叉融合研究、多模态知识表示与学习、多媒体、人工智能、机器学习以及智能人机交互感兴趣的研究生和本科生与我联系。

 

办公地址: bat365官网登录入口(旗山校区)bat365中文官方网站2号楼409。

 

联系邮箱:chenfuhai3c@163.com

 

学习经历

- 2023.01 ~ 2023.07, 香港理工大学,计算机系,博士后研究员,合作导师:Wenjie Li教授

- 2021.10 ~ 2022.10,香港大学,计算机科学系,博士后研究员,合作导师:王文平教授

- 2021.08 ~ 2021.09,香港大学深圳研究院,研究助理,合作导师:王文平教授

- 2020.10 ~ 2021.07,新加坡国立大学,计算机科学系,研究员,合作导师:Angela Yao助理教授

- 2014.09 ~ 2020.09,厦门大学,信息学院,智能科学与技术专业,博士(硕博连读),导师:纪荣嵘教授

- 2010.09 ~ 2014.06,厦门大学,信息学院,智能科学与技术专业,本科

 

科研项目:

- 2024.01至2026.12,面向开放场景的多模态人机交互知识协同感知与高效计算研究,福建省中青年教师教育科研项目-重点项目,主持;

- 2019.05至2019.11,高可信强智能的心脑血管疾病诊疗服务模式解决方案,国家重点研发计划,参与;

- 2017.03至2019.10,中央军委科技委战略前沿专项,参与;

- 2015.12至2016.09,面向两岸热点事件的社交多媒体大数据协同感知与计算,国家自然科学基金重点项目海峡基金,参与;

- 2014.06至2015.01,面向社交平台的跨媒体舆情感知技术研究,中科院自动化所开放课题基金,参与。

 

科研成果

1)Fuhai Chen, Rongrong Ji, Jiayi Ji, Xiaoshuai Sun, Baochang Zhang, Xuri Ge, Yongjian Wu, Feiyue Huang, Yan Wang. Variational Structured Semantic Inference for Diverse Image Captioning. Advances in Neural Information Processing Systems, 32, 2019 (NeurIPS 2019).

 

2)Fuhai Chen, Rongrong Ji, Xiaoshuai Sun, Yongjian Wu, Jinsong Su. GroupCap: Group-based Image Captioning with Structured Relevance and Diversity Constraints. IEEE Conference on Computer Vision and Pattern Recognition, 1345-135, 2018 (CVPR 2018).

 

3)Fuhai Chen, Rongrong Ji, Jinsong Su, Yongjian Wu, Yunsheng Wu. StructCap: Structured Semantic Embedding for Image Captioning. ACM International Conference on Multimedia, 46-54, 2017 (ACM MM 2017).

 

4)Fuhai Chen, Rongrong Ji, Jinsong Su, Donglin Cao, and Yue Gao. Predicting Microblog Sentiments via Weakly Supervised Multi-Modal Deep Learning. IEEE Transactions on Multimedia, 20(4): 997-1007, 2018.

 

5)Xuri Ge, Fuhai Chen*, Songpei Xu, Fuxiang Tao. Cross-modal Semantic Enhanced Interaction for Image-Sentence Retrieval. Winter Conference on Applications of Computer Vision, 2023 (WACV 2023).

 

6)Fuhai Chen, Rongrong Ji, Liujuan Cao. Multimodal learning for view-based 3D object classification. Neurocomputing, 195: 23-29, 2016.

 

7)Fuhai Chen, Yue Gao, Donglin Cao, Rongrong Ji. Multimodal hypergraph learning for microblog sentiment prediction. IEEE International Conference on Multimedia and Expo, 1-6, 2015 (ICME 2015).

 

8)Rongrong Ji, Fuhai Chen, Liujuan Cao, Yue Gao. Cross-Modality Microblog Sentiment Prediction via Bi-Layer Multimodal Hypergraph Learning. IEEE Transactions on Multimedia, 21(4): 1062-1075, 2019.

 

9)Xuri Ge, Fuhai Chen, Joemon Jose, Zhilong Ji, Zhongqin Wu, Xiao Liu. Structured Multi-modal Feature Embedding and Alignment for Image-Sentence Retrieval. ACM International Conference on Multimedia, 5185-5193, 2021 (ACM MM 2021).

 

10)Mingliang Xu, Fuhai Chen, Lu Li, Chen Shen, Pei Lv, Bing Zhou, Rongrong Ji. Bio-Inspired Deep Attribute Learning Towards Facial Aesthetic Prediction. IEEE Transactions on Affective Computing, 12(1): 227-238, 2021.

 

11)Haotong Zhang, Fuhai Chen, Angela Yao. Weakly-Supervised Dense Action Anticipation. The British Machine Vision Conference, 2021 (BMVC 2021).

 

12)Jiayi Ji, Yunpeng Luo, Xiaoshuai Sun, Fuhai Chen, Gen Luo, Yongjian Wu, Yue Gao, Rongrong Ji. Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network. Proceedings of the AAAI Conference on Artificial Intelligence, 35(2): 1655-1663, 2021 (AAAI 2021).

 

13)Jiayi Ji, Xiaoshuai Sun, Yiyi Zhou, Rongrong Ji, Fuhai Chen, Jianzhuang Liu, Qi Tian. Attacking Image Captioning Towards Accuracy-Preserving Target Words Removal. ACM International Conference on Multimedia, 4226-4234, 2020 (ACM MM 2020).

 

14)Xuri Ge, Fuhai Chen, Chen Shen, Rongrong Ji. Colloquial Image Captioning. IEEE International Conference on Multimedia and Expo, 356-361, 2019 (ICME 2019).

 

15)Zongyue Liu, Fuhai Chen, Jinsong Su, Chen Shen, Rongrong Ji. Topic-Guided Automatical Human-Simulated Tweeting System. Pacific Rim International Conference on Artificial Intelligence, 416-428, 2018 (PRICAI 2018).

 

16)Rongrong Ji, Donglin Cao, Yiyi Zhou, Fuhai Chen. Survey of visual sentiment prediction for social media analysis. Frontiers of Computer Science, 10(4): 602-611, 2016.

 

17)Yue Gao, Weizhi Nie, Anan Liu, Yuting Su, Qionghai Dai, Le An, Fuhai Chen, et al. SHREC'16 track: 3D object retrieval with multimodal views. Eurographics Workshop on 3D Object Retrieval, 129-136, 2016 (Eurographics 2016 workshop).

 

18)Chao Chen, Fuhai Chen, Donglin Cao, Rongrong Ji. A cross-media sentiment analytics platform for microblog. ACM International Conference on Multimedia, 767-769, 2015 (ACM MM 2015).

 

19)Fei Chao, Fuhai Chen, Yunhang Shen, Wenli He, Yan Sun, Zhengshuai Wang, Changle Zhou, Min Jiang. Robotic free writing of Chinese characters via human-robot interactions. International journal of humanoid robotics, 11(01): 1450007, 2014.

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