个人简历：于静，中央民族大学信息工程学院，教授，博士生导师，2025年入选北京市科技新星。长期从事网络空间安全领域的科研工作，近年来聚焦人工智能安全，信息内容安全，隐私保护，大模型溯源与确权等方向，主持科技部重大专项项目课题、国家自然科学基金项目等10余项科研项目；发表SCI/EI论文100余篇，获国际会议最佳论文奖4项；申请专利20余项；合著教材1部。担任《IEEE Transactions on Information Forensics and Security publication information (TIFS)》（CCF A类期刊）编委、《Blockchains》期刊编委，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；担任AAAI、CVPR、ICCV、ECCV等多个国际学术会议TPC成员；担任中国国际电视台（CGTN）社评专家。
科研项目：主持新一代人工智能国家科技重大专项项目课题、国家自然科学基金青年项目、北京市科技新星项目、北京市科技计划课题、中国科学院信息工程研究所前瞻项目等多项。
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）
3. 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）
4. 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）
代表性成果：累计发表SCI/EI论文100余篇，以下列出近年部分成果（*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, 1274-1280. (CCF-A)
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), 2020,30(1):220-233. (CCF-A, 中科院一区，影响因子: 10.8)
3. Zihao Zhu, Jing Yu*†, Yujing Wang, Yajing Sun, 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, 1097-1103. (CCF-A类)
4. Xiaoze Jiang, Jing Yu*†, Yajing Sun, Zengchang Qin, Zihao Zhu, 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, 687-693. (CCF-A)
5. 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), 2020,22(12):3196-3209. (中科院一区，影响因子：8.4)
6. Jing Yu, Zihao Zhu, Yujing Wang, Yue Hu, Jianlong Tan. Cross-modal knowledge reasoning for knowledge-based visual question answering. Pattern Recognition (PR), 2020, 108(2020): 107563. (中科院一区，影响因子：7.5)
7. 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, 5089-5098. (CCF-A)
8. Yuanmin Tang, Jing Yu*, Keke Gai, Jiamin Zhuang, Gang Xiong, Gaopeng Gou, Qi Wu. Missing Target-Relevant Information Prediction for Accurate Zero-Shot Composed Image Retrieval. The 42th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (CCF-A)
9. 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, 5180-5188. (CCF-A)
10. 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, 11125-11132. (CCF-A类)
11. Lei Liangqi, Keke Gai, Jing Yu*, Liehuang Zhu, Qi Wu. Secure and Efficient Watermarking for Latent Diffusion Models in Model Distribution Scenarios. The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025. (CCF-A)
12. 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, 3955-3963. (CCF-A)
13. 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, 4581-4590. (CCF-A)
14. Keke Gai, Dongjue Wang, Jing Yu*, Mohan Wang, Liehuang Zhu, Qi Wu. MFL-Owner: Ownership Protection for Multi-modal Federated Learning via Orthogonal Transform Watermark. The 39th AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF-A)
15. Yuanmin Tang, Jing Yu*, Keke Gai，Gang Xiong, Gaopeng Gou, Meihang Qiu, Qi Wu. Manipulation Intention Understanding for Zero-Shot Composed Image Retrieval. The 40th AAAI Conference on Artificial Intelligence (AAAI), 2026. (CCF-A)
16. 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, 633-642. (CCF-A)
17. Xinjie Lin, Gang Xiong, Gaopeng Gou, Wenqi Dong, Jing Yu*, Zhen Li, Wei Xia. Respond to Change with Constancy-Instruction-Tuning with LLM for Non-I.I.D. Network Traffic Classification. IEEE Transactions on Information Forensics and Security (TIFS), 2025，20:5758-5773. (CCF-A, 中科院一区，影响因子：6.3)
18. Keke Gai, Zijun Wang, Jing Yu*, Liehuang Zhu. MUFTI: Multi-Domain Distillation-based Heterogeneous Federated Continuous Learning. IEEE Transactions on Information Forensics and Security (TIFS), 2025，20:2721-2733. (CCF-A, 中科院一区，影响因子：6.3)
19. Keke Gai, Yunwei Guo, Jing Yu*, Weilin Chan, Liehuang Zhu, Yinqian Zhang, Weizhi Meng. CAPE: Commitment-based Privacy-Preserving Payment Channel Scheme in Blockchain. IEEE Transactions on Dependable and Secure Computing (TDSC), 2025, 22(4): 3977 - 3992. (CCF- A，影响因子 7.0)
20. Shuo Wang, Keke Gai, Jing Yu*, Zijian Zhang, Liehuang Zhu. PraVFed: Practical Heterogeneous Vertical Federated Learning via Representation Learning. IEEE Transactions on Information Forensics and Security (TIFS), 2025 , 20:2693-2705. (CCF-A, 中科院一区，影响因子：6.3)
21. Keke Gai, Dongjue Wang, Jing Yu*, Liehuang Zhu, Weizhi Meng. A Scheme of Robust Privacy-Preserving Multi-Party Computation Via Public Verification. IEEE Transactions on Dependable and Secure Computing (TDSC), 2025, 22(5): 4896-4910. (CCF- A，影响因子 7.0)
22. Keke Gai, Dongjue Wang, Jing Yu*, Liehuang Zhu, Weizhi Meng. FedAMM: Federated Learning Against Majority MaliciousClients Using Robust Aggregation. IEEE Transactions on Information Forensics and Security (TIFS), 2025, 20: 9950-9964. (CCF-A, 中科院一区，影响因子：6.3)
23. Keke Gai, Mohan Wang, Jing Yu*, Lei Xu, Peng Jiang, Liehuang Zhu, Differentially Private Vertical Federated Learning with Adaptive Constraints and Dynamic Noise. IEEE Transactions on Information Forensics and Security (TIFS), 2025, 20: 11150-11164. (CCF-A, 中科院一区，影响因子：6.3)
24. Ying Miao, Keke Gai, Jing Yu*, Liehuang Zhu, Dusit Niyato. Collaborative and Searchable Integrity Auditing for Multi-Copy Data in Decentralized Storage. IEEE Transactions on Dependable and Secure Computing (TDSC), 2025, 1-14. (CCF- A，影响因子 7.0)
25. Shuo Wang, Keke Gai, Jing Yu*, Liehuang Zhu, Weizhi Meng, Bin Xiao. EASTER: Embedding Aggregation-based Heterogeneous Models Training in Vertical Federated Learning. IEEE Transactions on Mobile Computing (TMC), 2025, 1-14. (CCF- A，中科院一区, 影响因子 9.2)
26. 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), 2023,22(12):3196-3209. (中科院一区，影响因子：8.4)
27. 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, 20(5): 7732-7743. (中科院一区, 影响因子：11.7)
招生信息：
特殊说明1： 本研究组一直欢迎有志于人工智能安全，信息内容安全，隐私保护、人工智能等方面研究的本科生、硕士生、博士生加入。 有兴趣者请与于老师直接邮件联系。
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邮箱：jing.yu@muc.edu.cn
谷歌学术主页：https://scholar.google.com/citations?hl=zh-CN&user=P75F9-QAAAAJ
英文主页：https://mmlab-iie.github.io/
知乎专栏：https://www.zhihu.com/column/c_1284803871596797952；
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