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[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]?亓鵬, 曹娟, 盛強(qiáng). 語(yǔ)義增強(qiáng)的多模態(tài)虛假新聞檢測(cè). 計(jì)算機(jī)研究與發(fā)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.?

[1]?網(wǎng)絡(luò)謠言檢測(cè)與輿論引導(dǎo)算法研究，基金委聯(lián)合重點(diǎn)基金項(xiàng)目，2018.1—2021.12，275萬(wàn)元，主持

[2] 基于深度學(xué)習(xí)的互聯(lián)網(wǎng)多媒體謠言檢測(cè)理論與方法研究, 國(guó)家自然科學(xué)基金項(xiàng)目， 2017.5—2019.4，60萬(wàn)元，主持

[3]?大規(guī)模網(wǎng)絡(luò)視頻在線定位與地理信息挖掘技術(shù)研究，國(guó)家自然科學(xué)基金項(xiàng)目， 2012.1—2015.12，60萬(wàn)元，主持

[4]?基于軌跡的網(wǎng)絡(luò)話題檢測(cè)和可視化研究, 國(guó)家自然科學(xué)基金項(xiàng)目，2010.1—2012.12，20萬(wàn)元，主持