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Welcome to Sichao Fu’s Pages

Research Interests Education Publications
China Patents Projects Honors and Awards
Experiences Professional Services Resources

Sichao Fu is currently a Ph.D, from the School of Electronic Information and Communication, Huazhong University of Science and Technology, Wuhan, China; He received the M.Eng. degree in electronics and communication engineering from China University of Petroleum (East China) (UPC), Qingdao, China, in 2020; and the B.Eng. degree in communication engineering from Linyi University (LYU), Linyi, China, in 2017. His current research interests include pattern recognition and deep manifold learning. He has authored or co-authored a dozen papers in journals and conferences. He also serves dozens of journals and conferences. Here’s my English CV.

  • Address: National Anti-counterfeit Engineering Research Center, Hongshan District, Wuhan, China
  • Email: fusichao_hust@163.com; fusichao_upc@163.com

傅司超, 中共党员, 研究生学历, 工学博士在读, 首届中国科协青年人才托举工程博士生专项计划入选者, 国际计算机学会专业会员, 电气和电子工程师协会学生会员, 石油工程师学会学生会员, 中国电子学会会员, 中国计算机学会学生会员, 中国自动化学会学生会员, 中国图象图形学学会学生会员, 中国图学学会学生会员, 中国通信学会学生会员, 中国仿真学会学生会员, 山东省人工智能学会会员. 2017年6月毕业于临沂大学通信工程专业, 获工学学士学位; 2020年6月毕业于中国石油大学（华东）电子与通信工程专业, 获工程硕士学位; 2020年9至今在华中科技大学信息与通信工程专业攻读博士学位; 2021年8月至2022年4月在京东科技探索研究院算法工程师岗实习, 2022年5月至2024年5月在京东零售流量质量部算法工程师岗实习, 2024年6月至2024年8月在国家启元实验室研究型岗实习, 2024年9月至2024年11月在滴滴地图事业部算法岗实习. 硕士阶段主要研究方向为图卷积神经网络理论及其应用, 以第一位次或共同第一位次主持完成模式识别国家重点实验室开放课题项目1项、复杂系统建模与仿真教育部重点实验室开放课题项目1项、中国石油大学（华东）研究生创新工程资助项目1项, 以骨干成员参与中石油重大科技项目1项、国家自然科学基金面上项目1项、综合业务网理论及关键技术国家重点实验室开放课题项目1项、中国石油大学（华东）自主创新项目1项、中国石油大学（华东）研究生创新工程资助项目1项; 以第一作者发表学术论文9篇, 导师一作、学生二作发表学术论文1篇, 第一位次申请公开国家发明专利2项, 获评2022年山东省人工智能科学技术奖（自然科学奖）一等奖、2021年山东省人工智能科学技术奖（自然科学奖）一等奖、 2023年山东省计算机学会科学技术奖（自然科学奖）二等奖、 2021年青岛市大数据优秀学术成果奖、2019年山东省专业学位研究生优秀成果奖省级一等奖、2020年山东省学术学位研究生优秀成果奖省级三等奖、2021年山东省优秀硕士学位论文、2022年中国自动化学会优秀硕士学位论文、2020年中国电子学会优秀硕士学位论文、2021年山东省人工智能学会优秀硕士学位论文、2020年中国石油大学（华东）优秀硕士学位论文、2019年硕士研究生国家奖学金等奖励. 博士阶段主要研究方向为深度图表示学习理论及其应用, 以第一位次或共同第一位次主持完成山东计算机学会省重点实验室联合开放基金 (山东省计算机网络重点实验室) 项目1项、华中科技大学研究生创新基金（重点项目）1项、华中科技大学创新研究院技术创新基金项目1项, 以骨干成员参与科技创新2030-“新一代人工智能”重大项目1项、国家重点研发计划项目4项、国家自然科学基金面上项目1项、湖北省重点研发计划项目1项、华中科技大学研究生创新基金项目1项, 以第一作者发表学术论文8篇, 在审学术论文3篇, 共一作者发表学术论文2篇, 在审学术论文2篇, 通讯作者发表学术论文9篇, 在审学术论文4篇, 第一位次申请公开国家发明专利2项，获评2022年博士研究生国家奖学金、第十三届中国大学生服务外包创新创业大赛全国三等奖、2024年中国国际大学生创新大赛全国铜奖、第九届中国国际“互联网+”大学生创新创业大赛湖北省铜奖、 第一届CCF科技创业大赛全国优胜创业团队、2021年CCF-腾讯犀牛鸟研学营优秀营员等奖励. 近年来, 担任数十种领域内重要期刊和国际学术会议审稿人.

Research Interests

  • Pattern Recognition // Deep Manifold Learning
  • Graph Representation Learning
    • Graph Convolutional Networks with High-order Local Geometry Preserving
    • Deep Co-training based Multi-view Graph Representation Learning
    • Multiplex Graph Representation Learning
    • Graph Structure Learning
    • Robust Graph Representation Learning with Noisy Information
    • Graph Anomaly Detection
    • Open-set Graph Representation Learning
    • …
  • Few-shot Learning // Class-incremental Learning
    • Graph-based Few-shot Learning
    • Graph-based Few-shot Class-incremental Learning
    • Multi-modal Transformer based Few-shot Class-incremental Learning
    • Multi-feature Collaboration based Few-shot Class-incremental Learning
    • Class-incremental Learning
    • …

Education

  • 2020.09-Now, D.Eng. degree in information and communication engineering, School of Electronic Information and Communication, Huazhong University of Science and Technology, Wuhan, China, under the supervision of professor Xinge You.
  • 2024.09-2024.11, Intern in Algorithm, Didi Map Department, Beijing, China, under the supervision of department head Lei Liu;
  • 2024.06-2024.08, Intern in Research, National Qiyuan Lab, Beijing, China, under the supervision of researcher Wang Lu, Zhigang Li and department head Xiangyang Ji;
  • 2022.05-2024.05, Intern in Algorithm Engineer, JD Retail Platform Operation and Marketing Center, Beijing, China, under the supervision of algorithm scientist Baokun Du and department head Yang He;
  • 2021.08-2022.04, Intern in Algorithm Engineer, JD Explore Academy, Beijing, China, under the supervision of algorithm scientist Qiong Cao, Yibin Zhan and department head Dacheng Tao;
  • 2017.09-2020.06, M.Eng. degree in electronics and communication engineering, College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China, under the supervision of professor Weifeng Liu;
  • 2013.09-2017.06, B.Eng. degree in communication engineering, College of Information Science and Engineering, Linyi University, Linyi, China;

Publications

Under Review

  1. Sichao Fu, Qinmu Peng, Yiu-Ming Cheung, Yizhuo Xu, Bin Zou, Xiao-Yuan Jing and Xinge You, XXX, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Minor Revision.
  2. Sichao Fu, Qinmu Peng, Bin Zou, Xiao-Yuan Jing, Wei Yu and Xinge You, XXX, IEEE Transactions on Cybernetics, Major Revision.
  3. Sichao Fu, Qinmu Peng, Weihua Ou, Bin Zou, Xiao-Yuan Jing and Xinge You, XXX, Science China Technological Sciences, Under Review.
  4. Chengxiang Lei (Co-supervised Student), Sichao Fu (Co-first Author), Qinmu Peng, Yiyang Zhang, Bin Zou, Xiao-Yuan Jing and Xinge You. XXX. IEEE/CAA Journal of Automatica Sinica, Minor Revision.
  5. Wuli Wang (Co-advisor), Yu Song (Co-supervised Student), Jianbu Wang, Sichao Fu (Co-corresponding Author), Peng Ren, Huawei Qin, Wei Li and Weihua Ou. XXX. IEEE Transactions on Geoscience and Remote Sensing, Major Revision.
  6. Yu Song (Co-supervised Student), Sichao Fu (Co-first Author), Hongquan Xin, Wuli Wang, Peng Ren, Baodi Liu, Weihua Ou and Dapeng Tao. XXX. IEEE Transactions on Multimedia, Under Review.

Journals

  1. Sichao Fu, Qinmu Peng, Yang He, Xiaorui Wang, Bin Zou, Duanquan Xu, Xiao-Yuan Jing and Xinge You, Multi-level Contrastive Graph Masked Autoencoders for Unsupervised Graph Structure Learning, IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 2, pp. 3464-3478, 2025. // URL
  2. Sichao Fu, Qinmu Peng, Yang He, Baokun Du, Bin Zou, Xiao-Yuan Jing and Xinge You. Unsupervised Multiplex Graph Diffusion Networks with Multi-level Canonical Correlation Analysis for Multiplex Graph Representation Learning. Science China Information Sciences, vol. 68, no. 3, pp. 132102, 2025. // URL // URL1
  3. Xiuqin Liang (Co-supervised Student), Jiazhen Chen (Co-supervised Student), Sichao Fu (Corresponding Author), Wuli Wang, Mingbin Feng, Tony S. Wirjanto, Qinmu Peng, Baodi Liu and Weihua Ou. Multiplex Graph Prompt Collaboration for Open-set Social Event Detection. Expert Systems with Applications, in press, 2025. // URL
  4. Yuanjun Yang (Co-supervised Student), Weihua Ou (Co-advisor), Sichao Fu (Co-corresponding Author), Jiaming Chen and Yunshun Wu. Heterogeneous Graph Completion Collaborative Network for Attribute-missing Heterogeneous Graph Representation Learning. Expert Systems with Applications, vol. 290, 2025. // URL
  5. Wenjie Zheng (Co-supervised Student), Sichao Fu (Co-first Author), Jiazhen Chen, Qinmu Peng, Yiqun Tu, Bin Zou, Xiao-Yuan Jing and Xinge You. Few-shot Graph Anomaly Detection with Extremely Weak Supervision. Chinese Journal of Computers, vol. 48, no. 4, pp. 927-948, 2025. (In Chinese) // URL
  6. Sichao Fu, Xueqi Ma, Yibing Zhan, Fanyu You, Qinmu Peng, Tongliang Liu, James Bailey and Danilo Mandic, Finding Core Labels for Maximizing Generalization of Graph Neural Networks, Neural Networks, vol. 180, 2024. // URL
  7. Sichao Fu, Qinmu Peng, Xiaorui Wang, Yang He, Wenhao Qiu, Bin Zou, Duanquan Xu, Xiao-Yuan Jing and Xinge You, Jointly Optimized Classifiers for Few-shot Class-incremental Learning, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 8, no. 5, pp. 3316-3326, 2024. // URL
  8. Sichao Fu, Qiong Cao, Yunwen Lei, Yujie Zhong, Yibin Zhan and Xinge You, Few-shot Learning with Dynamic Graph Structure Preserving, IEEE Transactions on Industrial Informatics, vol. 20, no. 3, pp. 3306-3315, 2024. // URL
  9. Li Zhang (Co-supervised Student), Sichao Fu (Co-first Author), Wuli Wang, Peng Ren, Qinmu Peng, Guangbo Ren and Baodi Liu. Toward Cross-domain Class-incremental Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-13, 2024. // URL
  10. Wuli Wang (Co-advisor), Li Zhang (Co-supervised Student), Sichao Fu (Co-corresponding Author), Peng Ren, Guangbo Ren, Qinmu Peng and Baodi Liu. Gradient Guided Multi-scale Feature Collaboration Networks for Few-shot Class-incremental Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-12, 2024. // URL
  11. Yuetian Wang (Co-supervised Student), Sichao Fu (Co-corresponding Author), Qinmu Peng, Bin Zou, Xiao-Yuan Jing and Xinge You. Multi-view Interaction Graph Convolutional Network for Semi-supervised Classification. Journal of Software, vol. 35, no. 11, pp. 5098-5115, 2024. (In Chinese) // URL // URL1
  12. Sichao Fu, Baodi Liu, Weifeng Liu, Bin Zou, Xinhua You, Qinmu Peng and Xiao-Yuan Jing, “ Adaptive Multi-scale Transductive Information Propagation for Few-shot Learning”, Knowledge-based Systems, vol. 249, Article 108979, 2022. // URL
  13. Sichao Fu, Senlin Wang, Weifeng Liu, Baodi Liu, Bin Zhou, Xinhua You, Qinmu Peng and Xiao-Yuan Jing, “Adaptive Graph Convolutional Collaboration Networks for Semi-supervised Classification”, Information Sciences, vol. 611, pp. 262-276, 2022. // URL
  14. Sichao Fu, Weifeng Liu, Kai Zhang and Yicong Zhou, “Example-Feature Graph Convolutional Networks for Semi-supervised Classification”, Neurocomputing, vol. 461, pp. 63-76, 2021. // URL
  15. Weifeng Liu (Master Supervisor), Sichao Fu, Yicong Zhou, Zheng-Jun Zha and Liqiang Nie, “Human Activity Recognition by Manifold Regularization Based Dynamic Graph Convolutional Networks”, Neurocomputing, vol. 444, pp. 217-225, 2021. // URL
  16. Sichao Fu, Weifeng Liu, Weili Guan, Yicong Zhou, Dapeng Tao and Changsheng Xu, “Dynamic Graph Learning Convolutional Networks for Semi-supervised Classification”, ACM Transactions on Multimedia Computing, Communications and Applications, vol. 17, no. 1s, pp. 1-13, 2021. // URL
  17. Sichao Fu, Weifeng Liu, Kai Zhang, Yicong Zhou and Dapeng Tao, “Semi-supervised Classification by Graph p-Laplacian Convolutional Networks”, Information Sciences, vol. 560, pp. 92-106, 2021. // URL
  18. Sichao Fu, Weifeng Liu, Dapeng Tao, Yicong Zhou and Liqiang Nie, “HesGCN: Hessian Graph Convolutional Networks for Semi-Supervised Classification”, Information Sciences, vol. 514, pp. 484-498, 2020. // URL
  19. Sichao Fu, Weifeng Liu, Yicong Zhou and Liqiang Nie, “HpLapGCN: Hypergraph p-Laplacian Graph Convolutional Networks”, Neurocomputing, vol. 362, pp. 166-174, 2019. // URL
  20. Sichao Fu, Weifeng Liu, Shuying Li and Yicong Zhou, “Two-Order Graph Convolutional Networks for Semi-Supervised Classification”. IET Image Processing, vol. 13, no. 14, pp. 2763–2771, 2019. // URL

Conferences

  1. Jiazhen Chen (Co-supervised Student), Zheng Ma (Co-supervised Student), Sichao Fu (Co-corresponding Author), Mingbin Feng, Tony S. Wirjanto and Weihua Ou. Towards Effective Open-set Graph Class-incremental Learning. 2025 ACM International Conference on Multimedia (MM 2025), Dublin, Ireland, 2025. // URL
  2. Jiazhen Chen (Co-supervised Student), Sichao Fu (Co-corresponding Author), Zheng Ma, Mingbin Feng, Tony S. Wirjanto and Qinmu Peng. Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs. 2025 International Conference on Database Systems for Advanced Applications (DASFAA 2025), Singapore, 2025. // URL
  3. Jiazhen Chen (Co-supervised Student), Sichao Fu (Co-corresponding Author), Zhibin Zhang, Zheng Ma, Mingbin Feng, Tony S. Wirjanto and Qinmu Peng. Towards Cross-domain Few-shot Graph Anomaly Detection. 2024 IEEE International Conference on Data Mining (ICDM 2024), Abu Dhabi, UAE, 2024. // URL
  4. Sichao Fu, Qinmu Peng, Yang He, Baokun Du and Xinge You, Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing, 2023 IEEE International Conference on Data Mining (ICDM 2023), Shanghai, China, 2023. // URL
  5. Wenhao Qiu (Co-supervised Student), Sichao Fu (Co-corresponding Author), Jingyi Zhang, Chengxiang Lei and Qinmu Peng. Semantic-visual Guided Transformer for Few-shot Class-incremental Learning. 2023 IEEE International Conference on Multimedia and Expo (ICME 2023), Brisbane, Australia, 2023. // URL
  6. Chengxiang Lei (Co-supervised Student), Sichao Fu (Co-corresponding Author), Yuetian Wang, Wenhao Qiu, Yachen Hu, Qinmu Peng and Xinge You. Self-supervised Guided Hypergraph Feature Propagation for Semi-supervised Classification with Missing Node Features. 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), Rhodes island, Greece, 2023. // URL
  7. Sichao Fu, Weifeng Liu, Yicong Zhou, Zheng-Jun Zha and Liqiang Nie, “Dynamic Graph Convolutional Networks by Manifold Regularization”. 2019 IJCAI Workshop on Deep Learning for Human Activity Recognition (IJCAIW 2019), Macao, China, 2019. // URL // URL1
  8. Sichao Fu, Xinghao Yang and Weifeng Liu, “The Comparison of Different Graph Convolutional Neural Networks for Image Recognition”. 2018 International Conference on Internet Multimedia Computing and Service (ICIMCS 2018) / (Presently MM Asia), Nanjing, China, 2018. // URL // URL1

Book Chapters

  1. Sichao Fu and Weifeng Liu, “Recent Advances of Manifold-based Graph Convolutional Networks for Remote Sensing Images Recognition” in Generalization with Deep Learning: For Improvement on Sensing Capability. World Scientific, Book edited by: Chen Zhenghua, Wu Min and Li Xiaoli, ISBN: 978-981-121-883-5, pp. 209-232, 2021. // URL

Other Papers

  1. Zhengqiang Zhang, Qinmu Peng, Sichao Fu, Wenjie Wang, Yiu-ming Cheung, Yue Zhao, Shujian Yu and Xinge You, “A Componentwise Approach to Weakly-Supervised Semantic Segmentation Using Dual Feedback Network”, IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 10, pp. 7541-7554, 2023. // URL
  2. Jun Tang, Yanjiang Wang, Sichao Fu, Baodi Liu and Weifeng Liu, “A Graph Convolutional Neural Network Model with Fisher Vector Encoding and Channel-wise Spatial-Temporal Aggregation for Skeleton-based Action Recognition”, IET Image Processing, vol. 16, no. 5, pp. 1433-1443, 2022. // URL

Degree Thesis

  1. Sichao Fu and Weifeng Liu (Supervisor), “Research on Graph Convolutional Networks Algorithms for Semi-Supervised Classification // 基于图卷积神经网络的半监督分类算法研究”, Degree Thesis of Engineering Master of China University of Petroleum (East China), 2020. // URL
    • 2019年山东省专业学位研究生优秀成果奖省级一等奖 （全省仅18项）
    • 2020年中国石油大学（华东）优秀硕士学位论文 （全校仅60篇）
    • 2021年山东省人工智能学会优秀硕士学位论文 （全省仅5篇）
    • 2020年中国电子学会优秀硕士学位论文 （全国仅28篇）
    • 2022年中国自动化学会优秀硕士学位论文 （全国仅29篇）
    • 2021年山东省优秀硕士学位论文 （全省仅500篇） （全校仅31篇）
  2. Sichao Fu and Fujiang Liu (Supervisor), “Design and Research on the “Logistics Cloud” System based on Web and Smart Devices // 基于Web和智能设备的”物流云”系统的设计与研究”, Degree Thesis of Engineering Bachelor of Linyi University, 2017.

China Patents

  1. Sichao Fu, Xiaorui Wang, Baokun Du and Yang He, “Semi-supervised Classification Method based on Adaptive Graph Convolutional Collaboration Networks // 一种图卷积网络模型的确定方法和装置”. // URL
    • Patent for Invention
    • Application Number: CN117436481A
    • Application Date: 23 January, 2024
  2. Sichao Fu, Qiong Cao, Yibin Zhan and Dacheng Tao, “Data Classification Method, Device, Equipment and Storage Medium // 一种数据分类方法、装置、设备及存储介质”. // URL
    • Patent for Invention
    • Application Number: CN114610953A
    • Application Date: 10 June, 2022
  3. Sichao Fu, Kewen Zhao, Weifeng Liu and Liqiang Nie, “A semi-supervised Classification Method based on a Hypergraph p-Laplacian Graph Convolutional Neural Network // 一种基于超图p-Laplacian图卷积神经网络的半监督分类方法”. // URL
    • Patent for Invention
    • Open Number: CN109766935A
    • Open Date: 17 May, 2019
  4. Sichao Fu, Zehong Ji, Weifeng Liu and Liqiang Nie, “A semi-supervised Classification Method based on a p-Laplacian Graph Convolutional Neural Network // 一种基于p-Laplacian图卷积神经网络的半监督分类方法”. // URL
    • Patent for Invention
    • Open Number: CN109583519A
    • Open Date: 5 April, 2019

Projects

Under Study

  1. Doctoral Special Program of Young Elite Scientists Sponsorship by China Association for Science and Technology (2025.01-2026.12) // 首届中国科协青年人才托举工程博士生专项计划项目 // URL
    • Project Leader
  2. 基于图神经网络的不变表征学习及应用研究（2024.05-2025.12）// URL
    • Project Member
    • Funded by: Fundamental Research Funds for the Central Universities, HUST // 中央高校基本科研业务费资助，HUST（华中科技大学创新研究院技术创新基金）
    • Grant Number: 2024JYCXJJ062
  3. Key Technologies and Software for Intelligent Analysis of Multi-source Heterogeneous Anti-counterfeiting Ticketing Big Data // 多源异构防伪票证大数据的智能分析关键技术与软件（2022.12-2025.11）
    • Project Member
    • Funded by: National Key Research and Development Program of China // 国家重点研发计划青年科学家项目
    • Grant Number: 2022YFF0712300
  4. Research on Intelligent and Authenticity Recognition Equipment for Entry-exit Documents // 出入境证件智能化真伪识别装备研究（2022.01-2025.12）
    • Project Member
    • Funded by: National Key Research and Development Program of China // 国家重点研发计划课题
    • Grant Number: 2022YFC3301004
  5. Research on Intelligent and Authenticity Recognition Technology and System for Entry-exit Documents // 出入境证件智能化真伪识别技术及系统研究（2022.12-2025.11）
    • Project Member
    • Funded by: National Key Research and Development Program of China // 国家重点研发计划课题
    • Grant Number: 2022YFC3301003
  6. Research on Key Technologies for Unreliable Electronic Signature Attack Identification in Prosecution Cases // 面向检察办案的不可信电子化签名攻击识别关键技术研究（2022.12-2025.11）
    • Project Member
    • Funded by: National Key Research and Development Program of China // 国家重点研发计划课题
    • Grant Number: 2022YFC3301704
  7. Research on Multi-mixed Intelligent Agent Trajectory Prediction based on Social Activity Sites // 基于社会活动场的多混合智能体轨迹预测研究（2022.01-2025.12）
    • Project Member
    • Funded by: National Natural Science Foundation of China // 国家自然科学基金面上项目
    • Grant Number: 62172177

Study Complete

  1. Research on Key Technologies for General Deep Graph Representation Learning // 通用深度图表征学习关键技术研究（2024.05-2026.05）// URL
    • Project Leader
    • Funded by: Fundamental Research Funds for the Central Universities // 中央高校基本科研业务费资助（华中科技大学研究生创新基金—重点项目）
    • Grant Number: YCJJ20241203 （资助率: 21 / 453 = 4.6%）
    • 提前结题
  2. Research on Key Technologies based on Cross-multimedia Causal Inference and Decision-making // 跨媒体因果推理和决策关键技术研究（2021.12-2024.11）
    • Project Member
    • Funded by: Science and Technology Innovation 2030 – “New Generation Artificial Intelligence” Major Project // 科技创新2030-“新一代人工智能”重大项目
    • Grant Number: 2021ZD0111700
    • 已结题
  3. Research on Deep Local Structure Preserving Methods and Applications based on Graph Neural Networks // 基于图神经网络的深度局部结构保持方法及应用研究（2022.01-2023.12）// URL
    • Project Leader
    • Funded by: Fundamental Research Funds for the Central Universities, HUST // 中央高校基本科研业务费资助，HUST（华中科技大学创新研究院技术创新基金）
    • Grant Number: 2022JYCXJJ034
    • 已结题
  4. Research on Multimedia Information Security Algorithms based on Deep Local Structure Preserving Theory and Adversarial Attacks // 基于深度局部结构保持理论与对抗攻击的多媒体信息安全算法研究（2022.01-2023.12）// URL
    • Co-First Project Leader
    • Funded by: Open Research Fund from Shandong Provincial Key Laboratory of Computer Network // 山东计算机学会省重点实验室联合开放基金（山东省计算机网络重点实验室）
    • Grant Number: SKLCN-2021-02
    • 已结题
  5. Research on the Construction Problems and its Strategies of a Harmonious Society in the Post-epidemic Era–Taking Grassroots Social Governance as the Starting Point // 后疫情时代和谐社会的建构问题及其策略探究–以基层社会治理为切入点（2022.07-2023.06）// URL
    • Project Member
    • Funded by: Fundamental Research Funds for the Central Universities // 华中科技大学研究生创新基金（人文社科创新交叉）
    • Grant Number: YCJJ202204016
    • 已结题
  6. Key Technologies and Applications of Intelligent TCM Diagnosis and Treatment for Chronic Obstructive Pulmonary Disease // 慢性阻塞性肺病智能诊疗关键技术与应用（2020.09-2022.12）
    • Project Member
    • Funded by: Key Research and Development Program of Hubei Province // 湖北省重点研发计划
    • Grant Number: 2020BAB027
    • 已结题
  7. Research on Non-local Information Architecture Methods based on Attention Mechanism and Graph Convolutional // 基于注意力机制与图卷积的非局部信息构建方法研究 （2021.01-2022.12） // URL
    • Project Member
    • Funded by: Open Project Program of the State Key Laboratory of Integrated Services Networks // 综合业务网理论及关键技术国家重点实验室开放课题
    • Grant Number: ISN22-08
    • 已结题
  8. Machine Learning based Remaining Oil Distribution Prediction // 基于机器学习的剩余油分布预测（2020.05-2022.12）
    • Project Member
    • Funded by: Major Scientific and Technological Projects of China National Petroleum Corporation // 中石油重大科技项目
    • Grant Number: ZD2019-183-008
    • 已结题
  9. Research on the Efficient Local Geometry Preserving Methods of Graph Representation Learning and its Modeling Analysis // 探究图表示学习中有效保持样本分布局部结构方法及建模分析（2020.01-2021.12）// URL
    • Co-First Project Leader
    • Funded by: Open Project Program of the National Laboratory of Pattern Recognition (NLPR) // 模式识别国家重点实验室开放课题
    • Grant Number: 202000009
    • 已结题（优秀）
  10. Research on Semi-supervised Classification Method based on Graph Neural Networks // 基于图神经网络的半监督分类算法研究 （2019.05-2020.05）// URL
    • Project Leader
    • Funded by: Postgraduate Student Innovation Project, China University of Petroleum (East China) // 中国石油大学（华东）研究生创新工程资助项目
    • Grant Number: YCX2019080
    • 已结题
  11. Research on Data Representation Learning Theory and Method based on Graph Neural Networks // 基于图神经网络的数据表示学习理论与方法研究 （2019.01-2020.12）
    • Co-First Project Leader
    • Funded by: Open Project Program of the Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education // 复杂系统建模与仿真教育部重点实验室开放课题
    • 已结题
  12. Research on Person re-identification Algorithms based on Metric Learning // 基于Metric Learning的行人再识别算法研究 （2018.05-2019.12）// URL
    • Project Member
    • Funded by: Postgraduate Innovation Project, China University of Petroleum (East China) // 中国石油大学（华东）研究生创新工程资助项目
    • Grant Number: YCX2018064
    • 已结题
  13. Research on Theory and Method of Large-scale Data Deep Structure Learning // 大规模数据深度结构学习理论及方法研究 （2018.01-2020.12）
    • Project Member
    • Funded by: Independent Innovation Research Project, China University of Petroleum (East China) // 中国石油大学（华东）自主创新科研计划项目
    • Grant Number: 18CX07011A
    • 已结题
  14. Image Annotation based on Mult-iview Depth Sparse Coding and Manifold Regularization // 基于多视角深度稀疏编码及流形正则化的图像标注研究 （2017.01-2020.12）
    • Project Member
    • Funded by: National Natural Science Foundation of China // 国家自然科学基金面上项目
    • Grant Number: 61671480
    • 已结题

Honors and Awards

Doctor (2020.09-Now)

  1. China International College Students Innovation Competition (Hubei Province) Gold Prize // 中国国际大学生创新大赛全国铜奖、湖北省金奖, 2024 // URL // URL1
    • 多国货币防伪特征多光谱成像设备及智能鉴伪系统
    • Main Project Member // 邹子谦、陈梓萱、夏北浩、陈良淏、王晨潇、吴孟成、徐凡力、钟科、傅司超、陈使明、叶硕、张博文、李毓佳
  2. Outstanding Postgraduate Cadre of Huazhong University of Science and Technology // 华中科技大学优秀研究生干部, 2023 // URL

  3. Doctor Academic Scholarship of Huazhong University of Science and Technology // 华中科技大学博士学业奖学金, 2023 // URL

  4. Second Prize of the Computer Federation Science and Technology (Natural Science) Award of Shandong Province // 山东省计算机学会科学技术奖（自然科学奖）二等奖, 2023 // URL
    • 基于多源信息协同的小样本学习方法研究
    • Main Project Member // 王武礼、傅司超 (提出了基于局部几何结构保持的小样本学习算法)、 刘宝弟、 王延江、 兴雷、 邵帅
  5. The 9th China International College Students ‘Internet+’ Innovation and Entrepreneurship Competition (Hubei Province) Bronze Prize // 第九届中国国际“互联网+”大学生创新创业大赛湖北省铜奖, 2023 // URL
    • 儿童体育动作智能评测系统
    • Main Project Member // 汤小龙、郑文捷、付铭烯、廖钰菁、谢诗扬、夏北浩、李珩、傅司超、胡志恒
  6. Creation Star of Shandong University Student Science and Technology Festival // 山东省大学生科技节创新之星 （全省仅119人）, 2023 // URL
  7. Most Beautiful Student of Qihe County in the New Era // 新时代齐河最美学生 （全县仅10人）, 2023 // URL
  8. Outstanding Master’s Thesis of Chinese Association of Automation // 中国自动化学会优秀硕士学位论文 （全国仅29篇）, 2023 // URL
  9. China National Scholarship // 博士研究生国家奖学金, 2022 // URL // URL1
  10. Doctor Academic Scholarship of Huazhong University of Science and Technology // 华中科技大学博士学业奖学金, 2022 // URL // URL1
  11. Outstanding Postgraduate Cadre of Huazhong University of Science and Technology // 华中科技大学优秀研究生干部, 2022 // URL // URL1
  12. First Prize of the Artificial Intelligence Science and Technology (Natural Science) Award of Shandong Province // 山东省人工智能科学技术奖（自然科学奖）一等奖 （全省仅1项）, 2022 // URL // URL1
    • Research on Data Representation Algorithms based on Multi-source Information Fusion // 基于多源信息融合的数据表示方法研究
    • Main Project Member // 杨兴浩、傅司超 (提出了基于高阶局部结构保持的多源信息融合算法)、刘伟锋
  13. Outstanding Big Data Achievement Award of Qingdao City // 青岛市大数据优秀学术成果奖 （全市仅8项）, 2022 // URL // URL1
    • Research on Data Representation Algorithms based on Multi-source (Multi-view) Information Fusion and High-order Local Geometry Preserving Theory // 基于多源（多视角）信息融合及高阶局部结构保持理论的数据表示方法研究
    • Main Project Member // 杨兴浩、傅司超 (提出了基于高维局部几何结构保持的精准数据表示模型)、刘伟锋
  14. Third Prize of the Thirteenth National Service Outsourcing Innovation and Entrepreneurship Competition for College Student // 第十三届中国大学生服务外包创新创业大赛全国三等奖, 2022 // URL
    • Main Project Member // 潘婷、傅司超、高旭茹、于浩然、昝畅通
  15. Second Prize of the Thirteenth National Service Outsourcing Innovation and Entrepreneurship Competition for College Student (Regional Competition) // 第十三届中国大学生服务外包创新创业大赛（东部区域赛） 二等奖, 2022 // URL
    • Main Project Member // 潘婷、傅司超、高旭茹、于浩然、昝畅通
  16. National Excellence Prize of the Ninth “Sharing Cup” Science and Technology Resources Sharing Service Innovation Competition // 第九届“共享杯”科技资源共享服务创新大赛全国优秀奖 （592/2310=25.6%）, 2022 // URL
    • Main Project Member // 高旭茹、傅司超、于浩然、昝畅通、潘婷
  17. Second Prize of the Eighth College Student Science and Technology Innovation Competition of Shandong Province // 山东省第八届大学生科技创新大赛省级二等奖, 2021 // URL
    • Main Project Member // 高旭茹、傅司超、于浩然、潘婷、昝畅通
  18. First Prize of the Second College Student Innovation Method Competition of Shandong Province // 山东省第二届大学生创新方法应用大赛省级一等奖, 2021
    • Main Project Member // 昝畅通、傅司超、高旭茹、于浩然、潘婷
  19. China Computer Federation Technology Entrepreneurship Competition // CCF科技创业大赛全国优胜创业团队, 2021 // URL
    • 数锋智写—全国高性能智能写作先行者
    • Main Project Member // 杨兴浩、傅司超、昝畅通、高旭茹、于浩然、潘婷
  20. Outstanding Postgraduate Cadre of Huazhong University of Science and Technology // 华中科技大学优秀研究生干部, 2021 // URL
  21. Doctor Academic Scholarship of Huazhong University of Science and Technology // 华中科技大学博士学业奖学金, 2021 // URL
  22. Outstanding Camper of China Computer Federation and Tencent Rhino-Bird Research Camp // CCF-腾讯犀牛鸟研学营优秀营员 （40/468=8.5%）, 2021 // URL
  23. 湖南省国际研究生暑期学校—“人工智能与高性能计算”优秀学员, 2021 // URL
  24. 华中科技大学第八次研究生代表大会正式代表, 2021 // URL
  25. 华中科技大学电子信息与通信学院第五次研究生代表大会正式代表, 2021 // URL
  26. Reviewer Certificate of Appreciation of the China Automation Congress (CAC 2021), 2021
  27. Reviewer Certificate of Appreciation of Journal of Applied Remote Sensing, 2021
  28. Outstanding Master’s Thesis of Shandong Province // 山东省优秀硕士学位论文 （全省仅500篇） （全校仅31篇）, 2021 // URL // URL1
  29. First Prize of the Artificial Intelligence Science and Technology (Natural Science) Award of Shandong Province // 山东省人工智能科学技术奖（自然科学奖）一等奖 （全省仅2项）, 2021 // URL // URL1
    • High-order Local Geometry Preserving for Large-scale Data: Theory and Algorithm // 大规模数据高阶局部几何保持理论及方法研究
    • Main Project Member // 刘伟锋、马学琦、傅司超 (提出了基于高阶局部几何保持的深度图表示算法) 、杨兴浩
  30. Outstanding Master’s Thesis of Shandong Association for Artificial Intelligence // 山东省人工智能学会优秀硕士学位论文 （全省仅5篇）, 2021 // URL
  31. 第八届“发现杯”全国大学生互联网软件设计大奖赛（互联网应用开发与设计）华中赛区三等奖, 2021
  32. Outstanding Master’s Thesis of Chinese Institute of Electronics // 中国电子学会优秀硕士学位论文 （全国仅28篇）, 2021 // URL // URL1
  33. Second Prize of the First College Student Innovation Method Competition of Shandong Province // 山东省第一届大学生创新方法应用大赛省级二等奖, 2021 // URL
    • Main Project Member // 昝畅通、傅司超、彭旭阳、王飞、蔡玉颖
  34. Doctor Academic Scholarship of Huazhong University of Science and Technology // 华中科技大学博士学业奖学金, 2020 // URL
  35. 华中科技大学第七次研究生代表大会正式代表, 2020 // URL
  36. Third Prize of Academic Degree Postgraduate Outstanding Achievement Award of Shandong Province // 山东省学术学位研究生优秀成果奖省级三等奖, 2020 // URL // URL1
    • Research on Local Geometric Structure Preserving based Domain Adaptation Algorithms // 基于局部几何结构的领域自适应算法研究
    • Complete Together // 李金凤、傅司超
  37. Academic Degree Postgraduate Outstanding Achievement Award of China University of Petroleum (East China) // 中国石油大学（华东）学术学位研究生优秀成果奖（推荐排名19/22）, 2020 // URL
    • Research on Local Geometric Structure Preserving based Domain Adaptation Algorithms // 基于局部几何结构的领域自适应算法研究
    • Complete Together // 李金凤、傅司超
  38. Third Prize of the Seventh College Student Science and Technology Innovation Competition of Shandong Province // 山东省第七届大学生科技创新大赛省级三等奖, 2020 // URL // URL1
    • Research on Graph Related Algorithms based on the Efficient Preserving Data Local Geometry Structure // 探究有效保持数据局部几何结构的Graph相关算法研究
    • Main Project Member // 王飞、傅司超、彭旭阳、昝畅通、蔡玉颖
  39. 首届全国大学生人工智能知识竞赛全国二等奖, 2021 // URL
  40. 第二届全国高校“一带一路”知识竞赛全国一等奖, 2021 // URL
  41. 首届全国大学生国防&军工知识竞赛全国一等奖, 2020 // URL

Master (2017.09-2020.06)

  1. Outstanding Master’s Thesis of China University of Petroleum (East China) // 中国石油大学（华东）优秀硕士学位论文 （全校仅60篇）, 2020 // URL
  2. 中国石油大学（华东）青年五四奖章（集体）// 中国石油大学（华东）全体抗击新冠肺炎疫情青年志愿者, 2020 // URL
  3. Outstanding Graduate of Shandong Province // 山东省优秀毕业生，2020 // URL
  4. Reviewer Certificate of Appreciation of Journal of Applied Remote Sensing, 2020
  5. First Prize of Professional Degree Postgraduate Outstanding Achievement Award of Shandong Province // 山东省专业学位研究生优秀成果奖省级一等奖 （全省仅18项）, 2019 // URL
    • Research on Graph Convolutional Networks Algorithms for Semi-Supervised Classification // 基于图卷积神经网络的半监督分类算法研究
    • Complete Independently // 独立完成
  6. Professional Degree Postgraduate Outstanding Achievement Award of China University of Petroleum (East China) // 中国石油大学（华东）专业学位研究生优秀成果奖 （推荐排名1/15）, 2019 // URL
    • Research on Graph Convolutional Networks Algorithms for Semi-Supervised Classification // 基于图卷积神经网络的半监督分类算法研究
    • Complete Independently // 独立完成
  7. China National Scholarship // 硕士研究生国家奖学金, 2019 // URL
  8. First Prize of Academic Scholarship of China University of Petroleum (East China) // 中国石油大学（华东）一等学业奖学金, 2019
  9. Top Ten Postgraduate on Academic（Award Nomination） of China University of Petroleum (East China) // 中国石油大学（华东）研究生学术十杰提名奖, 2019 // URL
  10. Outstanding Postgraduate of China University of Petroleum (East China) // 中国石油大学（华东）优秀研究生, 2019
  11. Star on Academic of College of Oceangraphy and Space Informatics of China University of Petroleum (East China) // 中国石油大学（华东）海洋与空间信息学院学术之星, 2019
  12. 中国石油大学（华东）研究生境外学术交流与研修项目资助, 2019 // URL
  13. Second Prize of North China Second Competition Zone of Siemens Cup China Intelligent Manufacturing Challenge // 第十三届“西门子杯”中国智能制造挑战赛华北二赛区二等奖, 2019
  14. 中国石油大学（华东）研究生科技竞赛获奖项目奖励, 2018 // URL
  15. Certificate of Computer and Software Professional Qualification // 软考中级网络工程师, 2018
  16. 中国石油大学（华东）共青团“一起答”纪念改革开放40周年知识竞赛一等奖, 2018
  17. “数创杯”全国大学生数学建模挑战赛全国二等奖, 2017
  18. 第五届“发现杯”全国大学生互联网软件设计大奖赛（APP开发与设计）华东赛区二等奖, 2017
  19. First Prize in Qingdao Postgraduate Electronic Design Competition // 青岛市第八届研究生电子设计竞赛一等奖, 2017 // URL
  20. 第十五届研究生“博萃节”科技学术活动优秀组织者, 2017
  21. 第十五届研究生“博萃节”科技学术活动优秀积极分子, 2017
  22. Third Prize of Academic Scholarship of China University of Petroleum (East China) // 中国石油大学（华东）三等学业奖学金, 2017

Undergraduate (2013.09-2017.06)

  1. 临沂大学学业一等奖学金一等2次，二等2次
  2. 临沂大学学科竞赛奖学金（创新创业类）一等4次，二等5次
  3. 临沂大学科研学术奖学金（创新创业类）三等3次
  4. 傅司超, 刘乃丽. “基于Web和Android的“立购”系统设计与研究”. 电脑编程技巧与维护, 2016 (01): 51-52. // URL
  5. 傅司超, 隋振. “基于Web和智能设备的物流系统的设计与研究”. 科技经济导刊, 2016 (03): 26+23. // URL
  6. 傅司超, 华满, 刘乃丽. “临沂市智慧物流信息化平台的建设与研究”. 科技经济导刊, 2016 (08): 28. // URL
  7. 第六届全国大学生电子商务“创新、创意及创业”挑战赛山东赛区省级一等奖、全国三等奖
  8. 第四届“发现杯”全国大学生互联网软件设计大奖赛（网络营销技能）华东赛区一等奖、国家三等奖
  9. 第四、五、六届全国大学生计算机信息素养大赛全国三等奖
  10. 第三届“发现杯”全国大学生互联网软件设计大奖赛（APP开发与设计）华东赛区二等奖
  11. 第十三届齐鲁大学生软件设计大赛省级二等奖
  12. 第七届“蓝桥杯”全国软件和信息技术专业人才大赛省级三等奖
  13. 2016年“创青春”海尔山东省大学生创业大赛省级铜奖
  14. 第四届“发现杯”全国大学生互联网软件设计大奖赛（APP开发与设计）华东赛区三等奖
  15. 第十三届齐鲁大学生服务外包外语大赛省级三等奖
  16. 临沂大学2015年大学生创新创业训练计划项目《基于智能手机APP的3D试衣间研究》 // 参与
  17. 临沂大学2016年大学生创新创业训练计划项目《基于Web和智能设备的“物流云”平台的设计与研究》 // 参与
  18. 临沂大学优秀毕业生
  19. 全国计算机等级考试（National Computer Rank Examination）二级（C语言程序设计）// 三级（网络技术）// 四级（网络工程师）优秀
  20. 优秀团员、优秀志愿者等各类荣誉称号
  21. 会计从业资格证等各类职业资格证书

Experiences

  • 协助指导华中科技大学2020级本科生学士毕业论文（1人），2024
    • 获得校级优秀学士学位论文
  • 协助指导华中科技大学2019级本科生学士毕业论文（2人），2023
  • 协助指导华中科技大学2018级本科生学士毕业论文（1人），2022
  • 华中科技大学第八次研究生代表大会, 2021
  • 华中科技大学电子信息与通信学院第五次研究生代表大会, 2021
  • 湖南省国际研究生暑期学校—“人工智能与高性能计算”, 2021
  • CCF-腾讯犀牛鸟研学营, 2021
  • 中国学位与研究生教育学会-中国知网研究生科研素养提升讲座, 2021
  • 协助指导华中科技大学2017级本科生学士毕业论文（1人），2021
  • 华中科技大学第七次研究生代表大会, 2020
  • 协助指导中国石油大学（华东）2016级本科生学士毕业论文（2人），2020
  • 山东省研究生暑假学校—“机器人与智能控制技术”, 2018
  • 中国石油大学（华东）研究生骨干培训班, 2017

Professional Services

Membership

  • Association for Computing Machinery Professional Membership
  • Institute of Electrical and Electronics Engineers Student Member
  • Society of Petroleum Engineers Student Member
  • Chinese Institute of Electronics Member
  • China Computer Federation Student Member
  • China Society of Image and Graphics Student Member
  • China Graphics Society Student Member
  • China Institute of Communications Student Member
  • China Simulation Federation Student Member
  • Shandong Association for Artificial Intelligence Member

Reviewer

  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Transactions on Emerging Topics in Computational Intelligence
  • IEEE/CAA Journal of Automatica Sinica
  • IEEE Access
  • IET Computer Vision
  • Pattern Recognition
  • Neural Networks
  • Information Sciences
  • Knowledge-based Systems
  • Neurocomputing
  • BMC Bioinformatics
  • Digital Signal Processing
  • Artificial Intelligence in Medicine
  • Neural Processing Letters
  • Multimedia Tools and Applications
  • Pattern Analysis and Applications
  • Signal, Image and Video Processing
  • Measurement
  • Journal of Applied Remote Sensing
  • Journal of Healthcare Engineering
  • International Journal on Document Analysis and Recognition
  • Mathematics
  • Journal of Zhejiang University（Engineering Science）
  • International Joint Conference on Artificial Intelligence (IJCAI 2019/2020/2021)
  • International Conference on Multimedia and Expo (ICME 2019/2020)
  • IEEE International Conference on High Performance Computing, Data, & Analytics (HiPC 2022)
  • International Conference on Systems, Man, and Cybernetics (SMC 2019/2020)
  • International Conference on Machine Learning, Optimization, and Data Science (LOD 2019/2020)
  • International Conference on Information and Knowledge Management (CIKM 2019)
  • International Conference on Pattern Recognition (ICPR 2022)
  • ACM International Conference on Multimedia (MM 2020)
  • Asian Conference on Pattern Recognition (ACPR 2019)
  • Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2019)
  • The China Automation Congress (CAC 2021/2022)

Resources

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