一、个人基本信息

肖春静，男，工学博士，副教授，硕士生导师，美国西北大学（Northwest University）访问学者、英国伦敦大学学院（University College London）访问学者，并与美国University of Maryland和Iowa State University，以及英国University College London的教授保持紧密的学术合作。曾主持完成多个国家自然科学基金项目，河南省科技攻关计划项目，主要研究方向为人工智能、大模型、社交网络和物联网。

担任《SIGKDD》、《IEEE Transactions on Knowledge and Data Engineering》、《IEEE Transactions on Neural Networks and Learning Systems》、《Expert Systems with Applications》和《Knowledge-Based Systems》等多个CCF-A类会议期刊、中科院一区期刊审稿人。

个人主页：https://chunjingxiao.github.io/

二、奖励

2024年“河南省优秀硕士学位论文”指导老师。

CsiGAN: Robust Channel State Information-based Activity Recognition with GANs 获2024年度河南省教育厅优秀科技论文奖一等奖，第一完成人。

河南省一流本科课程，2022。

河南大学2017教学质量二等奖。

河南大学2015教学质量二等奖。

三、论文、著作

1. Chunjing Xiao, Shikang Pang, Wenxin Tai, Yanlong Huang, Goce Trajcevski, Fan Zhou, Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.（CCF-A类会议).

2. Chunjing Xiao, Yanhui Han, Wei Yang, Yane Hou, Fangzhan Shi, Kevin Chetty, Diffusion model-based contrastive learning for human activity recognition, IEEE Internet of Things Journal, 2024. (SCI检索, 1区, IF: 8.2).

3. Chunjing Xiao, Shikang Pang, Xovee Xu, Xuan Li, Goce Trajcevski, Fan Zhou, Counterfactual Data Augmentation With Denoising Diffusion for Graph Anomaly Detection. IEEE Transactions on Computational Social Systems, 2024. (SCI检索, 2区, IF: 4.5).

4. Bin Chen, Chunjing Xiao*, Fan Zhou, Natural Evolution-based Dual-Level Aggregation for Temporal Knowledge Graph Reasoning. Conference on Empirical Methods in Natural Language Processing (EMNLP) , 2024. (CCF-B类会议, 通讯作者).

5. Chunjing Xiao, Xovee Xu, Yue Lei, Kunpeng Zhang, Siyuan Liu, Fan Zhou. Counterfactual Graph Learning for Anomaly Detection on Attributed Networks, IEEE Transactions on Knowledge and Data Engineering, 2023. (SCI检索, 2区, IF: 8.9, CCF-A类期刊).

6. Chunjing Xiao, Shiming Chen, Fan Zhou, Jie Wu. Self-Supervised Few-Shot Time-series Segmentation for Activity Recognition, IEEE Transactions on Mobile Computing, 2023. (SCI检索, 2区, IF: 7.9, CCF-A类期刊).

7. Chunjing Xiao, Zehua Gou, Wenxin Tai, Kunpeng Zhang, Fan Zhou. Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.（CCF-A类会议).

8. Chunjing Xiao, Yue Lei, Chun Liu, Jie Wu. Mean Teacher-based Cross-Domain Activity Recognition using WiFi Signals, IEEE Internet of Things Journal, 2023. (SCI检索, 1区, IF: 8.2).

9. Xuan Li, Chunjing Xiao*, Ziliang Feng, Shikang Pang, Wenxin Tai, Fan Zhou. Controlled graph neural networks with denoising diffusion for anomaly detection, Expert Systems with Applications, 2023. (SCI检索, 1区, IF: 8.5, 通讯作者).

10. Zhonghai He, Bei Hui, Shengming Zhang, Chunjing Xiao*, Ting Zhong, Fan Zhou. Exploring indirect entity relations for knowledge graph enhanced recommender system, Expert Systems with Applications, 2023. (SCI检索, 1区, IF: 8.5, 通讯作者).

11. Fan Zhou, Tangjiang Qian, Yuhua Mo, Zhangtao Cheng, Chunjing Xiao*, Jin Wu, Goce Trajcevski. Uncertainty-Aware Heterogeneous Representation Learning in POI Recommender Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023. (SCI检索, 1区, IF: 8.7, 通讯作者).

12. Wei Yang, Yang Liu, Chunjing Xiao*. Deep metric learning for accurate protein secondary structure prediction, Knowledge-Based Systems, 2022. (SCI检索, 1区, IF: 8.8, 通讯作者).

13. Chunjing Xiao, Yue Lei, Yongsen Ma, Fan Zhou, Zhiguang Qin. DeepSeg: Deep-Learning-Based Activity Segmentation Framework for Activity Recognition Using WiFi, IEEE Internet of Things Journal, 2021. (SCI检索, 1区, IF: 8.2).

14. Fan Zhou, Xiuxiu Qi, Chunjing Xiao*, Jiahao Wang. MetaRisk: Semi-supervised few-shot operational risk classification in banking industry, Information Sciences, 2021. (SCI检索, 1区, IF: 8.1,通讯作者).

15. Chunjing Xiao, Chun Liu, Ying Ma, Zheng Li, Xucheng Luo. Time sensitivity-based popularity prediction for online promotion on Twitter, Information Sciences, 2020. (SCI检索, 1区, IF: 8.1).

16. Chunjing Xiao, Daojun Han, Yongsen Ma, Zhiguang Qin. CsiGAN: Robust Channel State Information-based Activity Recognition with GANs, IEEE Internet of Things Journal, 2019. (SCI检索, 1区, IF: 8.2).

四、科研项目

1. 基于WiFi信号的非阈值动作分割和自适应行为识别方法 (212102210387), 河南省科技攻关计划, 2021.1-2022.12,主持

2. 基于动态因素的在线社会网络信息传播效果实时预测模型(61402151), 国家自然科学基金, 2015.1-2017.12, 主持

3. 面向家庭网关的基于用户行为的高效内容分发理论与技术研究(61272527)，国家自然科学基金，2013.01-2016.12，参与

4. 基于需求语义标注与领域知识的服务透明化推荐方法研究(61402150)，国家自然科学基金，2015.1-2017.12，参与

5. 基于微博受众接收能力的网站流量提升效果预测建模(162102410010，河南省科技攻关计划(国际科技合作项目), 2016.1-2018.12，主持

6. 基于微博平台的网站推广效果影响因素分析与预测，网络与数据安全四川省重点实验室开放课题基金，2015.5-2017.5，主持

7. 河南大学基金科研业务费科研专项，优青培育项目， 2017.7-2019.7，主持

五、专利

1. 肖春静,等. 针对WiFi信号行为识别的基于深度学习的动作分割框架构建方法. ZL202010718841.1

2. 肖春静,等. 一种针对行为识别的基于自监督少样本学习的动作序列分割方法. ZL202111471435.0

3. 肖春静,等. 用于人体动作识别的基于扩散模型的自监督对比学习方法. ZL202310434396.X

六、联系方式

欢迎对人工智能、大模型、社交网络和物联网领域有兴趣的同学与我联系，共同进行学习和研究。

微信号：xiaocj2012

邮箱：9310028@qq.com，xiaocj@henu.edu.cn