盛强，中国科学院计算所副研究员，长期从事虚假和伪造内容鉴别、AIGC安全研究，近期主要关注AI生成虚假信息检测与影响度量、生成内容的检测与溯源。在NeurIPS、ACL、AAAI、TKDE等国际会议期刊发表论文三十余篇，谷歌学术引用2000余次，多篇论文入选各会议期刊近五年引用TOP100（2025年8月）。连续担任ACM MM、ACL Rolling Review领域主席和NeurIPS等顶级会议审稿人，八次获评优秀，在CCF-A类会议SIGIR 2024和MM 2025主讲虚假信息检测三小时讲习班。曾获中国科学院院长奖、计算所所长特别奖、计算所“卓越之星”等荣誉。

2025年11月至今：中国科学院计算技术研究所，副研究员

2023年6月至2025年10月：中国科学院计算技术研究所，助理研究员

2018年9月至2023年6月，中国科学院大学，工学博士

2014年9月至2018年6月，北京邮电大学，工学学士

（完整列表见https://scholar.google.com/citations?user=8BEUQ9UAAAAJ，部分论文解读见“数字内容合成与伪造检测”公众号）

学术论文：

[AAAI 26] Zhengjia Wang,Danding Wang,Qiang Sheng,Jiaying Wu,and Juan Cao. Reasoning About the Unsaid: Misinformation Detection with Omission-Aware Graph Inference. 

[NeurIPS 25] Yang Li,Qiang Sheng,Yehan Yang,Xueyao Zhang,Juan Cao. From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring.

[SIGIR 25] Beizhe Hu,Qiang Sheng,Juan Cao,Yang Li,Danding Wang. LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation.

[AAAI 24] 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.

[IJCAI 24] 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.

[MM 24] Yuyan Bu,Qiang Sheng,Juan Cao,Peng Qi,Danding Wang,Jintao Li. FakingRecipe: Detecting Fake News on Short Video Platforms from the Perspective of Creative Process.

[ACL 23] 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.

[MM 23] Yuyan Bu,Qiang Sheng,Juan Cao,Peng Qi,Danding Wang,Jintao Li. Combating Online Misinformation Videos: Characterization,Detection,and Future Directions.

[IEEE TKDE 23] Yongchun Zhu,Qiang Sheng,Juan Cao,Qiong Nan,Kai Shu,Minghui Wu,Jindong Wang,Fuzhen Zhuang. Memory-Guided Multi-View Multi-Domain Fake News Detection.

[SIGIR 22] Yongchun Zhu,Qiang Sheng,Juan Cao,Shuokai Li,Danding Wang,Fuzhen Zhuang. Generalizing to the Future: Mitigating Entity Bias in Fake News Detection.

[ACL 22] Qiang Sheng,Juan Cao,Xueyao Zhang,Rundong Li,Danding Wang,Yongchun Zhu. Zoom Out and Observe: News Environment Perception for Fake News Detection.

[AAAI 22] Guang Yang,Juan Cao,Qiang Sheng,Peng Qi,Xirong Li,Jintao Li. DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection.

[ACL 21] Qiang Sheng,Juan Cao,Xueyao Zhang,Xirong Li,Lei Zhong. Article Reranking by Memory-enhanced Key Sentence Matching for Detecting Previously Fact-checked Claims.

[WWW 21] Xueyao Zhang,Juan Cao,Xirong Li,Qiang Sheng,Lei Zhong,Kai Shu. Mining Dual Emotion for Fake News Detection.

[MM 21] Peng Qi,Juan Cao,Xirong Li,Huan Liu,Qiang Sheng,Xiaoyue Mi,Qin He,Yongbiao Lv,Chenyang Guo,and Yingchao Yu. Improving Fake News Detection by Using an Entity-enhanced Framework to Fuse Diverse Multimodal Clues.

[ACL 20] Lei Zhong,Juan Cao,Qiang Sheng,Junbo Guo,Ziang Wang. Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection.

讲习班：

[MM 25] Qiang Sheng,Peng Qi,Tianyun Yang,Yuyan Bu,Wynne Hsu,Mong Li Lee,Juan Cao. Combating Online Misinformation Videos: Characterization,Detection,and Prevention. http://misinfo-video.github.io/

[SIGIR 24] Aiwei Liu,Qiang Sheng,Xuming Hu. Preventing and Detecting Misinformation Generated by Large Language Models. https://sigir24-llm-misinformation.github.io/

[1] 国家自然科学基金委青年基金项目（C类）：面向新发事件的虚假新闻早期检测方法研究

[2] 国家资助博士后研究人员计划资助：对抗环境下的机器伪造文本检测方法

[3] 中国博士后科学基金面上资助：信息匮乏条件下虚假新闻早期检测方法研究

[4] 中国中文信息学会SMP-智谱AI大模型交叉学科基金项目：大模型驱动的互联网虚假信息预演及检测增强

[1] 2024年度计算所“卓越之星”

[2] 2024年度计算所优秀研究人员

[3] 2023年中国科学院院长奖

[4] 2022年计算所所长特别奖

[5] ACM MM 2024 Outstanding Area Chair

[6] ACM SIGIR 2025 Best PC Member Award