社交网络对抗、时空异常检测、大规模语言模型生成内容检测（AIGC检测）、生成文本水印、深度学习方法及其应用。

1.2017/10 - 2018/10，美国佐治亚理工学院，计算机学院，国家公派联合培养，导 师：Prof. Zha Hongyuan

2.2013/09 – 2019/03，5822yh银河国际，网络空间安全，博士，导师：管晓宏 院士

3.2012/09 – 2013/07，5822yh银河国际，系统工程，硕士，导师：管晓宏 院士

4.2008/09 – 2012/07，5822yh银河国际，自动化，学士

1.2023-2026，新型文本会话式电信网络诈骗犯罪动态检测方法研究，国家自然科学基金面上项目，主持；

2.2022-2024，xxxxxxx，重点研发子课题，主持；

3.2022-2023，智慧水利安全监测平台（二期），中国联通甘肃省水利厅信息中心甘肃智慧水利项目，主持；

4.2021-2023，面向小样本的图神经网络快速训练方法及应用研究，5822yh银河国际基本科研经费-学科交叉，主持；

5.2021-2022，智慧水利安全监测平台（一期），中国联通甘肃省水利厅信息中心甘肃智慧水利项目，主持；

6.2021-2022，基于短文本数据智能计算的网络舆情风险评估，传播内容认知国家重点实验室，参与；

7.2020-2021，多源文本内容感知驱动的个体/群体价值观和观点挖掘，传播内容认知国家重点实验室，主持；

8.2020-2023，全媒体可信共治众创模式与网络传播风控评估关键技术及核心系统，科技部重点研发计划课题，参与；

9.2020-2022，大规模多源异构社交网络数据驱动的异常群体识别，国家自然科学基金青年项目，主持；

10.2020-2021，大规模多源异构数据驱动的异常群体识别，博士后面上项目（2019M663723），主持；

11.2019-2021，大规模多源异构数据驱动的异常群体识别技术，博士后创新人才支持计划，主持；

12.2019-2020，智能**技术，“十三五装备预研计划”课题，主持；

13.2019-2022，大规模多源异构数据驱动的异常群体发现，5822yh银河国际科研支持项目（xxj022019016），主持；

14.2019-2020，互联*研究，国家计算机网络与信息安全管理中心，参与；

会议论文：​

1.Li, Chengzhengxu, Xiaoming Liu*, Yichen Wang, Duyi Li, Yu Lan, and Chao Shen. "Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Optimization for Few-shot Learning." AAAI 2024 （CCF A，Acceptance rate 23.75%) [Paper] [Codes]

2.Yichen Wang, Kevin Yang,Xiaoming Liu*, Dan Klein. Improving Pacing in Long-Form Story Planning. EMNLP 2023 Findings. （自然语言处理顶会，CCF B)）[Paper] [Codes]

3.Xiaoming Liu*,Zhaohan Zhang*, Yichen Wang*, Hang Pu, Yu Lan, and Chao Shen. CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Low Resource With Contrastive Learning. EMNLP 2023 Long Paper.(* All the authors contributed equally to this work，自然语言处理顶会，CCF B, Acceptance rate 21.3%) [Paper] [Codes] [Data]

4.Xiaoming Liu*, Shaocong Wu, Zhaohan Zhang and Chao Shen, Unify Local and Global Information for Top-N Recommendation, In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1262-1272. 2022. (CCF A, Full Paper, Accepted rate 161/794=20%)[Paper] [Codes]

5.Li, Q.*, Liu, X.*, Shen, C., Peng, X., Zhou, Y. and Guan, X., 2020. Learning Graph Embedding with Limited Labeled Data: An Efficient Sampling Approach. arXiv preprint arXiv:2003.06100. (* Both authors contributed equally to this work)

6.Liu, X., Shen, C., Fan, Y., Liu, X., Zhou, Y., & Guan, X. (2018, December). A Co-Evolutionary Model for Inferring Online Social Network User Behaviors. In 2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) (pp. 85-90). IEEE. (Best Student Paper Award)

7. Liu, X., Zhou, Y., Hu, C., Guan, X., & Leng, J. (2014, April). Detecting community structure for undirected big graphs based on random walks. In Proceedings of the 23rd International Conference on World Wide Web (pp. 1151-1156). (CCF A, Workshop on Big Graph Minng)

8.Liu, X., Zhou, Y., Hu, C., Guan, X., & Sun, X. (2015, July). A feasible graph partition framework for random walks implemented by parallel computing in big graph. In 2015 34th Chinese Control Conference (CCC) (pp. 4986-4991). IEEE.

期刊论文：

1.Yu Lan, Qiaozhu Zhai, Xiaoming Liu, and Xiaohong Guan. "Robust Approximate Dynamic Programming for Large-scale Unit Commitment with Energy Storages." IEEE Transactions on Automation Science and Engineering (2023).

2.Yu Lan, Qiaozhu Zhai, Xiaoming Liu, and Xiaohong Guan. "Fast Stochastic Dual Dynamic Programming for Economic Dispatch in Distribution Systems." IEEE Transactions on Power Systems (2022).（电力系统顶刊，SCI， IF=7.326）

3.Xiaoming Liu, Zhanwei Zhang, Lingjuan Lyu, Zhaohan Zhang, Shuai Xiao, Chao Shen, and Philip S. Yu. Traffic anomaly prediction based on joint static-dynamic spatio-temporal evolutionary learning [J]. IEEE Transactions on Knowledge and Data Engineering, 2022. （SCI IF 6.977, JCR分区：Q1, CCF A）[Paper] [Codes]

4.Zhou, Yadong, Zhihao Ding, Xiaoming Liu*, Chao Shen, Lingling Tong, and Xiaohong Guan. "Infer-AVAE: An attribute inference model based on adversarial variational autoencoder." Neurocomputing 483 (2022): 105-115.

5.刘晓明、张兆晗、杨晨阳、张宇辰、沈超、周亚东、管晓宏，在线社交网络文本内容对抗技术，计算机学报.（中文CCF A）【论文】

6.Zhou, Yadong, Tianyi Yue, Xiaoming Liu, Chao Shen, Lingling Tong, and Zhihao Ding. "Payment-Guard: Detecting fraudulent in-app purchases in iOS system." Neurocomputing 422 (2021): 263-276.

7. Liu, X., Lan Y., Shen, C., Zhou, Y., & Guan, X. A Real-time Explainable Traffic Collision Inference Framework Based on Probabilistic Graph Theory. Knowledge-Based Systems. 2020. (SCI IF 5.921, 中科院分区：1区，CCF C );

8. Liu X ,Shen C, Wang W, Guan X. CoEvil: A Co-Evolutionary Model for Crime Inference Based on Fuzzy Rough Feature Selection. IEEE Transactions on Fuzzy Systems. 2019 Sep 6. (SCI IF 8.759, 中科院分区：1区，CCF B );

9.Liu, X., Shen, C., Guan, X., & Zhou, Y. (2018). Digger: Detect Similar Groups in Heterogeneous Social Networks. ACM Transactions on Knowledge Discovery from Data (TKDD), 13(1), 1-27. (SCI IF 1.895, 中科院分区：3区， CCF B)

10.Liu, X., Shen, C., Guan, X., & Zhou, Y. (2018). We know who you are: Discovering similar groups across multiple social networks. IEEE Transactions on Systems, Man, and Cybernetics: Systems. (SCI IF 7.351, 中科院：1区，CCF B )

11.Liu, X., Zhou, Y., Guan, X., & Shen, C. (2017). A feasible graph partition framework for parallel computing of big graph. Knowledge-Based Systems, 134, 228-239. (SCI IF 5.101, 中科院分区：1区， CCF C);

12.Liu, X., Zhou, Y., Hu, C., & Guan, X. (2016). MIRACLE: A multiple independent random walks community parallel detection algorithm for big graphs. Journal of Network and Computer Applications, 70, 89-101. (SCI IF 5.273, 中科院分区：1区，CCF C);

13.周亚东, 刘晓明, 杜友田, 管晓宏, & 刘霁. (2015). 一种网络话题的内容焦点迁移识别方法. 计算机学报, 38(2), 261-271.