程学旗，研究员、博士生导师，中国科学院计算技术研究所副所长，智能算法安全全国重点实验室主任，国家杰出青年科学基金获得者、国家高层次人才、北京学者、CCF会士、IEEE Fellow。长期从事网络数据科学、大数据分析系统、社会认知博弈、AI安全等方向研究。在重要学术会议和IEEE汇刊上发表论文300余篇，七次获得本领域顶级国际学术会议最佳论文奖，谷歌学术引用超过3.8万次，H指数94。获授权发明专利140余项。主持参加了多项国家级重大工程、重大项目。成果应用于国家多个重要行业和领域，获得国家技术发明二等奖1项、国家科技进步二等奖3项。兼任CCF理事、大数据专家委员会主任、中国数字经济50人论坛秘书长、中国中文信息学会副理事长、中国网络空间安全学会常务理事。

学术服务：

1. 计算机学报、计算机研究与发展、信息安全研究、大数据、信息通信技术等国内期刊编委

2. Journal of Computer Science and Technology、IEEE transactions on Big Data、IEEE Transactions on Computational Social Systems等国际期刊编委

3. 担任国际会议ACM WSDM2015、ACM CIKM 2019、ACM SIGIR2020等国际学术会议的共同大会主席

代表性成果：

数据科学：

1. Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method. Weichao Zhang, Ruging Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xuegi Cheng. EMNLP 2024(Best Paper Award).

2. Learning Visual Features from Snapshots for Web Search. Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, and Xueqi Cheng. CIKM 2017(Best Full Paper Runner-up).

3. Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks. Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua. WWW 2024(Most Influential WWW Papers (2025-09 Version)).

4. DeepRank: A New Deep Architecture For Relevance Ranking In Information Retrieval. Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Jingfang Xu, Xueqi Cheng. CIKM 2017(Most Influential CIKM Papers (2025-09 Version)).

5. Significance and challenges of big data research. Xiaolong Jin, Benjamin W Wah, Xueqi Cheng, Yuanzhuo Wang. Big data research 2015.

6. 大数据研究: 未来科技及经济社会发展的重大战略领域——大数据的研究现状与科学思考. Guojie Li, Xueqi Cheng. 中国科学院院刊2012.

7. A deep look into neural ranking models for information retrieval. Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W Bruce Croft, Xueqi Cheng. Information Processing & Management 2020.

大数据分析系统：

8. SpecGreedy: Unified Dense Subgraph Detection. Wenjie Feng, Shenghua Liu, Danai Koutra,Huawei Shen and Xueqi Cheng. PKDD 2020(Best Student Data Mining Paper Award).

9. BeatGAN: Anomalous Rhythm Detection Using Adversarially Generated Time Series. Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, Jing Ye. IJCAI 2019 (Most Influential IJCAI Papers (2025-09 Version)).

10. Continual Learning for Generative Retrieval Over Dynamic Corpora. Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng. CIKM 2023(Most Influential CIKM Papers (2025-09 Version)).

11. CorpusBrain: Pre-train A Generative Retrieval Model for Knowledge-Intensive Language Tasks. Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yiqun Liu, Yixing Fan, Xueqi Cheng, CIKM 2022(Most Influential CIKM Papers (2025-09 Version)).

自然语言处理：

12. A Biterm Topic Model For Short Texts . Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng. WWW 2013(Most Influential WWW Papers (2025-09 Version)).

13. Named Entity Recognition In Query. Jiafeng Guo, Gu Xu, Xueqi Cheng, Hang Li. SIGIR 2009(Most Influential SIGIR Papers (2025-09 Version)).

14. Text matching as image recognition. Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng. AAAI 2016(Most Influential AAAI Papers (2025-09 Version)).

15. Btm: Topic modeling over short texts. X Cheng, X Yan, Y Lan, J Guo. IEEE Transactions on Knowledge and Data Engineering 2014.

16. A deep architecture for semantic matching with multiple positional sentence representations. Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng. AAAI 2016.

17. Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng. SIGIR 2021.

社会计算：

18. IMRank: Influence Maximization Via Finding Self-consistent Ranking. Suqi Cheng, Huawei Shen, Junming Huang, Wei Chen, Xueqi Cheng. SIGIR 2014(Most Influential SIGIR Papers (2025-09 Version)).

19. Predict Anchor Links Across Social Networks Via An Embedding Approach. Tong Man, Huawei Shen, Shenghua Liu, Xiaolong Jin, Xueqi Cheng. IJCAI 2016(Most Influential IJCAI Papers (2025-09 Version)).

20. DeepHawkes: Bridging the Gap Between Prediction And Understanding Of Information Cascades. Qi Cao, Huawei Shen, Keting Cen, Wentao Ouyang, Xueqi Cheng. CIKM 2017(Most Influential CIKM Papers (2025-09 Version)).

21. StaticGreedy: Solving the Scalability-accuracy Dilemma In Influence Maximization. Suqi Cheng, Huawei Shen, Junming Huang, Guoqing Zhang, Xueqi Cheng. CIKM 2013(Most Influential CIKM Papers (2025-09 Version)).

22. Learning Hierarchical Representation Model for NextBasket Recommendation. Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Shengxian Wan, Xueqi Cheng. SIGIR 2015(Most Influential SIGIR Papers (2025-09 Version)).

23. Detect overlapping and hierarchical community structure in networks. H Shen, X Cheng, K Cai, MB Hu. Physica A: Statistical Mechanics and its Applications 2009.

24. Graph wavelet neural network. Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng. ICLR 2019.

25. Cross-domain recommendation: an embedding and mapping approach. Tong Man, Huawei Shen, Xiaolong Jin, Xueqi Cheng. IJCAI 2017.