简 历：
曹娟，研究员，博士生导师，中国科学院计算所前瞻研究实验室主任、数字内容合成与伪造检测实验室主任，中国科学院大学岗位教授，中国科学院“青年促进会”首批成员。获2024年公安部科学技术一等奖、2020年北京市科技进步一等奖、2020年北京市“三八红旗奖章”和2022年“世界互联网大会领先科技创新成果全球Top15”。长期从事人工智能安全、虚假伪造信息检测、多媒体技术研究，在领域内主流期刊和会议发表论文100余篇，谷歌引用6700余次，其中第一作者单篇最高引用915次，4篇论文入选谷歌近五年引用Top30。申请专利95项，其中授权36项。主持国家级重点项目11项，其中千万级项目2项。面向国家安全重大需求，带领团队从算法创新、系统搭建、设备研制三个层面长期布局，研发了“AI识谣”虚假新闻检测平台、“睿鉴图灵”伪造检测专用模型及基于国产芯片的伪造检测专用设备，成果在多个国家重大任务中规模化部署使用。
2019-09 至今, 中国科学院计算技术研究所, 研究员，前瞻研究实验室副主任、主任
2016-01 至今, 中国科学院大学, 计算机学院, 教授
2010-11 至 2011-11, 美国哥伦比亚大学, 电子系，访问学者
2009-05 至 2009-09, 香港城市大学, 计算机系，访问学者
主要论著：
[1] Yuhui Shi, Qiang Sheng, Juan Cao, Hao Mi, Beizhe Hu, Danding Wang. Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling. IJCAI 2024. 2024.
[2] You Wu, Kean Liu, Xiaoyue Mi, Fan Tang, Juan Cao, Jintao Li. U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation. CVPR 2024. 2024.
[3] Ziyao Huang, Fan Tang, Yong Zhang, Xiaodong Cun, Juan Cao, Jintao Li, Tong-Yee Lee. Make-Your-Anchor: A Diffusion-based 2D Avatar Generation Framework. CVPR 2024. 2024.
[4] Yuting Yang, Pei Huang, Feifei Ma, Juan Cao, Jintao Li. PAD: A Robustness Enhancement Ensemble Method via Promoting Attention Diversity. LREC-COLING 2024. 2024.
[5] Yuting Yang, Pei Huang, Juan Cao, Jintao Li, Yun Lin, Feifei Ma. A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement. Frontiers of Computer Science. 2024.
[6] Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, Peng Qi. Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection. AAAI 2024. 2024.
[7] Peng Qi, Yuyan Bu, Juan Cao, Wei Ji, Ruihao Shui, Junbin Xiao, Danding Wang, Tat-seng Chua. FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms. AAAI 2023. 2023.
[8] Peng Qi, Yuyang Zhao, Yufeng Shen, Wei Ji, Juan Cao, Tat-Seng Chua. Two Heads Are Better Than One: Improving Fake News Video Detection by Correlating with Neighbors. ACL 2023 Findings. 2023.
[9] Yuyan Bu, Qiang Sheng, Juan Cao, Peng Qi, Danding Wang, Jintao Li. Combating Online Misinformation Videos: Characterization, Detection, and Future Directions. ACM MM 2023. 2023.
[10] Guang Yang, Juan Cao, Danding Wang, Peng Qi, Jintao Li. ERASER: Adversarial Sensitive Element Remover for Image Privacy Preservation. AAAI 2023. 2023.
[11] Tianyun Yang, Danding Wang, Fan Tang, Xinying Zhao, Juan Cao, Sheng Tang. Progressive Open Space Expansion for Open-Set Model Attribution. CVPR 2023. 2023.
[12] Yuting Yang, Wenqiang Lei, Pei Huang, Juan Cao, Jintao Li, Tat-seng Chua. A Dual Prompt Learning Framework for Few-Shot Dialogue State Tracking. WWW 2023. 2023.
[13] Chengbo Dong, Xinru Chen, Ruohan Hu, Juan Cao, Xirong Li. MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection. IEEE TPAMI. 2023.
[14] Beizhe Hu, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Zhengjia Wang, Zhiwei Jin. Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection. ACL 2023. 2023.
[15] Zhihao Sun, Haoran Jiang, Danding Wang, Xirong Li, Juan Cao. SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection. ICCV 2023. 2023.
[16] Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhiping Shi, Juan Cao, Qing He. Combat data shift in few-shot learning with knowledge graph. Frontiers of Computer Science. 2023.
[17] Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Ming-hui Wu, Jindong Wang, Fuzhen Zhuang. Memory-Guided Multi-View Multi-Domain Fake News Detection. IEEE TKDE. 2023.
[18] Yuting Yang, Pei Huang, Feifei Ma, Juan Cao, Meishan Zhang, Jian Zhang, Jintao Li. Quantifying Robustness to Adversarial Word Substitutions. ECML-PKDD 2023. 2023.
[19] Qiong Nan, Danding Wang, Yongchun Zhu, Qiang Sheng, Yuhui Shi, Juan Cao, Jintao Li. Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer. COLING 2022. 2022.
[20] Qiang Sheng, Juan Cao, Xueyao Zhang, Rundong Li, Danding Wang, Yongchun Zhu. Zoom Out and Observe: News Environment Perception for Fake News Detection. ACL 2022. 2022.
[21] Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang. Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. ACM SIGIR 2022. 2022.
[22] Tianyun Yang, Zi Huang, Juan Cao, Lei Li, Xirong Li. Deepfake Network Architecture Attribution. AAAI 2022. 2022.
[23] Lei Li, Fan Tang, Juan Cao, Xirong Li, Danding Wang. Bias oriented unbiased data augmentation for cross-bias representation learning. Multimedia Systems. 2022.
[24] Guang Yang, Wu Liu, Xinchen Liu, Xiaoyan Gu, Juan Cao, Jintao Li. Delving into the Frequency: Temporally Consistent Human Motion Transfer in the Fourier Space. ACM MM 2022. 2022.
[25] Guang Yang, Juan Cao, Qiang Sheng, Peng Qi, Xirong Li, Jintao Li. DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection. AAAI 2022. 2022.
[26] Qiang Sheng, Juan Cao, H. Bernard, Kai Shu, Jintao Li, Huan Liu. Characterizing multi-domain false news and underlying user effects on Chinese Weibo. IP&M. 2022.
[27] Qiong Nan, Juan Cao, Yongchun Zhu, Yanyan Wang, Jintao Li. MDFEND: Multi-domain Fake News Detection. CIKM 2021. 2021.
[28] Qiang Sheng, Juan Cao, Xueyao Zhang, Xirong Li, Lei Zhong. Article Reranking by Memory-Enhance d Key Sentence Matching for Detecting Previously Fact-Checked Claims. ACL 2021. 2021.
[29] Lei Li, Ke Gao, Juan Cao, Ziyao Huang, Yepeng Weng, Xiaoyue Mi, Zhengze Yu, Xiaoya Li, Boyang Xia. Progressive Domain Expansion Network for Single Domain Generalization. CVPR 2021. 2021.
[30] Xueyao Zhang, Juan Cao, Xirong Li, Qiang Sheng, L. Zhong, Kai Shu. Mining Dual Emotion for Fake News Detection. WWW 2021. 2021.
[31] Qiang Sheng, Xueyao Zhang, Juan Cao, L. Zhong. Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning. CIKM 2021. 2021.
[32] Peng Qi, Juan Cao, Xirong Li, Huan Liu, Qiang Sheng, Xiaoyue Mi, Qin He, Yongbiao Lv, Chenyang Guo, Yingchao Yu. Improving Fake News Detection by Using an Entity-enhanced Framework to Fuse Diverse Multimodal Clues. ACM MM 2021. 2021.
[33] 亓鹏, 曹娟, 盛强. 语义增强的多模态虚假新闻检测. 计算机研究与发展. 2021.
[34] Tianyi Wu, Sheng Tang, Rui Zhang, Juan Cao, Yongdong Zhang. CGNet: A Light-Weight Context Guided Network for Semantic Segmentation. IEEE Transactions on Image Processing. 2021.
[35] Guang Yang, Juan Cao, Zhineng Chen, Junbo Guo, Jintao Li. Graph-based neural networks for explainable image privacy inference. Pattern Recognition. 2020.
[36] Lei Zhong, Juan Cao, Qiang Sheng, Junbo Guo, Ziang Wang. Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection. ACL 2020. 2020.
[37] Juan Cao, Peng Qi, Qiang Sheng, Tianyun Yang, Junbo Guo, Jintao Li. Exploring the Role of Visual Content in Fake News Detection. Disinformation, Misinformation and Fake News in Social Media. 2020.
[38] Peng Qi, Juan Cao, Tianyun Yang, Junbo Guo, Jintao Li. Exploiting Multi-domain Visual Information for Fake News Detection. ICDM 2019. 2019.
[39] Bo Wu, Wen-Huang Cheng, Yongdong Zhang, Juan Cao, Jintao Li, Tao Mei. Unlocking Author Power: On the Exploitation of Auxiliary Author-Retweeter Relations for Predicting Key Retweeters. IEEE TKDE. 2018.
[40] Han Guo, Juan Cao, Yazi Zhang, Junbo Guo, Jintao Li. Rumor Detection with Hierarchical Social Attention Network. CIKM 2018. 2018.
[41] Zhiwei Jin, Juan Cao, Han Guo, Yongdong Zhang, Jiebo Luo. Multimodal Fusion with Recurrent Neural Networks for Rumor Detection on Microblogs. ACM MM 2017. 2017.
[42] Zhiwei Jin, Juan Cao, Han Guo, Yongdong Zhang, Yu Wang, Jiebo Luo. Detection and Analysis of 2016 US Presidential Election Related Rumors on Twitter. SOCIAL, CULTURAL, AND BEHAVIORAL MODELING. 2017.
[43] Zhiwei Jin, Juan Cao, Yongdong Zhang, Jianshe Zhou, Q. Tian. Novel Visual and Statistical Image Features for Microblogs News Verification. IEEE TMM. 2017.
[44] Zhiwei Jin, Juan Cao, Yongdong Zhang, Jiebo Luo. News Verification by Exploiting Conflicting Social Viewpoints in Microblogs. AAAI 2016. 2016.
科研项目：
[1] 网络谣言检测与舆论引导算法研究，基金委联合重点基金项目，2018.1—2021.12，275万元，主持
[2] 基于深度学习的互联网多媒体谣言检测理论与方法研究, 国家自然科学基金项目， 2017.5—2019.4，60万元，主持
[3] 大规模网络视频在线定位与地理信息挖掘技术研究，国家自然科学基金项目， 2012.1—2015.12，60万元，主持
[4] 基于轨迹的网络话题检测和可视化研究, 国家自然科学基金项目，2010.1—2012.12，20万元，主持
获奖及荣誉：
[1] 公安部科学技术一等奖，第二完成人，2024
[2] 世界互联网大会领先科技创新成果全球Top15，“数字内容虚假伪造检测系统和设备”，第一完成人，2022
[3] 北京市科技进步一等奖，“开放环境下数字伪造内容检测关键技术与服务平台建设”，第一完成人，2020
[4] 北京市“三八红旗奖章”，2020
[5] 第三届中国人工智能大赛人工智能“创新人物”奖，2021
[6] 第三届中国人工智能大赛“深度伪造视频生成方法识别”任务最高级(A级)奖, 2021
[7] 中国科学院计算技术研究所“卓越之星”，2019
曹娟 研究员
研究方向：
所属部门：前瞻研究实验室
导师类别：博导计算机应用技术
联系方式：caojuan@ict.ac.cn
个人网页：http://mcg.ict.ac.cn/people/caojuan.html