个人简历：1989年出生，2019年于中国科学院大学获得计算机软件与理论专业博士学位。2014年4月至2024年10月于中国科学院信息工程研究所任助理研究员/副研究员。2024年11月至今于中央民族大学信息工程学院任副教授。
社会兼职：担任CCF区块链专委会执行委员，CCF多媒体技术专委会执行委员，CCF计算机视觉专委会执行委员，中国电子学会区块链分会委员，CCF青年计算机科技论坛总部学术委员、2024-2025副主席；担任多个人工智能、网络安全领域CCF-A类国际会议程序委员会委员和期刊编委；担任中国国际电视台（CGTN）特邀社评专家。
科研与教改项目：主持国家自然科学基金青年项目、北京市科委项目课题、中国科学院信息工程研究所前瞻项目等多项，参与国家自然科学基金联合基金重点项目、国家重点研发计划项目、中国科学院战略性先导科技专项项目等10余项。
1. 国家自然科学基金青年基金 “基于视觉关系和多源知识的视觉问答关键技术研究” ， 2021~2023（项目负责人）
2. 北京市中央引导地方专项项目“面向网络流量的行业大模型关键技术研究与应用”， 2023~2025（课题负责人）
科研与教改成果：发表SCI/EI学术论文70余篇，申请发明专利20余项，合著英文教材1部。获IEEE 计算机学会SCSTC 2023年度青年学者成就奖，国际会议最佳论文奖1项，CCF 2022年度杰出演讲者。代表性学术论文如下（*为通讯作者，†为共同第一作者）：
1. Jing Yu, Yuan, Chai, Yujing Wang, Yue Hu, Qi Wu. CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation. The 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021. (CCF-A类)
2. Jing Yu, Xiaoze Jiang, Zengchang Qin, Yue Hu, Qi Wu. Learning Dual Encoding Model for Adaptive Visual Understanding in Visual Dialogue. IEEE Transactions on Image Processing (TIP), 2020. (CCF-A, 中科院一区)
3. Jing Yu, Weifeng Zhang, Yuhang Lu, Zengchang Qin, Yue Hu, Qi Wu. Reasoning on the Relation: Enhancing Visual Representation for Visual Question Answering and Cross-modal Retrieval. IEEE Transactions on Multimedia (TMM), 2020. (中科院一区)
4. Jing Yu, Zihao Zhu, Yujing Wang, Yue Hu, Jianlong Tan. Cross-modal knowledge reasoning for knowledge-based visual question answering. Pattern Recognition (PR), 2020. (中科院一区)
5. Jing Yu, Weifeng Zhang, Zhuoqian Yang, Zengchang Qin, Yue Hu. Cross-modal learning with prior visual relation knowledge. Knowledge-Based Systems (KBS), 2020. (中科院一区)
6. Zihao Zhu, Jing Yu*†, Yujing Wang, Yue Hu, Qi Wu. Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering. The 29th International Joint Conference on Artificial Intelligence (IJCAI), 2020. (CCF-A类)
7. Xiaoze Jiang, Jing Yu*†, Xingxing Zhang, Yue Hu, Qi Wu. DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue. The 29th International Joint Conference on Artificial Intelligence (IJCAI)，2020. (CCF-A类)
8. Shuo Wang, Keke Gai, Jing Yu†, Liehuang Zhu, Hanghang Wu, Changzheng Wei, Ying Yan, Hui Zhang, Kim-Kwang Raymond Choo. RAFLS: RDP-Based Adaptive Federated Learning With Shuffle Model. IEEE Transactions on Dependable and Secure Computing (TDSC), 2024. (CCF- A类，中科院一区)
9. Yili Li, Jing Yu*, Keke Gai, Bang Liu, Gang Xiong, Qi Wu. T2VIndexer: A Generative Video Indexer for Efficient Text-Video Retrieval. The 32nd ACM International Conference on Multimedia (ACM MM), 2024. (CCF-A 类)
10. Xiangyan Qu, Jing Yu*, Keke Gai, Jiamin Zhuang, Yuanmin Tang, Gang Xiong, Gaopeng Gou, Qi Wu. Visual-Semantic Decomposition and Partial Alignment for Document-based Zero-Shot Learning. The 32nd ACM International Conference on Multimedia (ACM MM), 2024. (CCF-A类)
11. Yuanmin Tang, Jing Yu*, Keke Gai, Jamin Zhuang, Gang Xiong, Yue Hu, Qi Wu. Context-I2W: Mapping Images to Context-dependent Words for Accurate Zero-Shot Composed Image Retrieval. The 38th AAAI Conference on Artificial Intelligence (AAAI), 2024. (CCF-A类)
12. Yang Ding, Jing Yu*, Bang Liu, Yue Hu, Mingxin Cui, Qi Wu. MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering. The 39th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2022. (CCF-A类)
13. Xiaoze Jiang, Jing Yu*, Zengchang Qin, Yingying Zhuang, Xingxing Zhang, Qi Wu, DualVD: An Adaptive Dual Encoding Model for Visual Dialogue. The 34th AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF-A类)
14. Xinjie Lin, Gang Xiong, Gaopeng Gou, Junzheng Shi, Jing Yu*. ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification. The 31st Web Conference (WWW), 2022. (CCF-A类)
15. Jiamin Zhuang, Jing Yu*, Yang Ding, Xiangyan Qu, Yue Hu. Towards Fast and Accurate Image-Text Retrieval with Self-Supervised Fine-Grained Alignment. IEEE Transactions on Multimedia (TMM), 2024. (中科院一区)
16. Yihang Wei, Keke Gai, Jing Yu*, Liehuang Zhu, Kim-Kwang Raymond Choo. Trustworthy Access Control for Multiaccess Edge Computing in Blockchain-Assisted 6G Systems. IEEE Transactions on Industrial Informatics (TII), 2024. (中科院一区)
17. Shuo Wang, Jing Yu†, Keke Gai, Liehuang Zhu. ReVFed: Representation-Based Privacy-Preserving Vertical Federated Learning with Heterogeneous Models. The 17th International Conference on Knowledge Science, Engineering and Management （KSEM）, 2024. (大会最佳论文)
招生方向：人工智能、人工智能安全。研究方向详细介绍，请关注英文主页和知乎专栏。知乎专栏：https://www.zhihu.com/column/c_1284803871596797952；英文主页：https://mmlab-iie.github.io/
联系方式：jing.yu@muc.edu.cn