教授名录

研究方向：自然语言处理、情感计算、社会计算、可信计算

联系方式：大学城校区实验楼B302（办公室），邮箱：psc346@aliyun.com

学习工作经历:

2008年至2009年，香港城市大学做Research Associate

2010年5月博士毕业于中南大学

2014年入选广东省“千百十人才培养工程”省级培养对象

2016年入选广东外语外贸大学云山杰出学者

2016年至2018年，信息科学与技术学院/网络空间安全学院

2019年至今，语言工程与计算实验室

科研成果简述:

主持的科研项目：

1. 国家自然科学基金面上项目(项目编号：61876205)，项目名称：社交网络中热点事件的负面情绪识别及演化分析研究，019年1月至2022年12月。(已结题)

2. 国家自然科学基金面上项目(项目编号：61379041)，项目名称：智能手机病毒传播动力学建模理论及分析方法研究，2014年1月至2017年12月，主持。(已结题)

3. 广东省自然科学基金(课题编号：S2011040002356)，项目名称：无线Mesh网中异常行为分析与检测方法研究，2011年10月至2013年10月，主持。(已结题)

4. 中国博士后科学基金会--第51批中国博士后科学基金(课题编号：2012M511757)，项目名称：智能手机病毒传播理论及应用研究，2012年6月至2014年6月，主持。(已结题)

5. 广州市科技计划项目，微博热点事件的负面情绪识别及传播分析研究，2018年4月至2021年3月，主持。(在研)

6. 广东外语外贸大学基地重大项目，商品评论的细粒度情感分析方法研究，2020年7月至2023年6月，主持。(在研)

   主要的学术论文：

7. Sancheng Peng, Rong Zeng, Lihong Cao, Aimin Yang, Jianwei Niu, Chengqing Zong, Guodong Zhou. Multi-Source Domain Adaptation Method for Textual Emotion Classification. Knowledge-Based Systems, 2023. (SCI)

8. Rong Zeng, Hongzhan Liu, Sancheng Peng*, Lihong. Cao, Aimin Yang, Chengqing Zong, and Guodong Zhou, CNN-based broad learning for cross-domain emotion classification, Tsinghua Science and Technology, 2023. (SCI)

9. Cong Wang, Weicheng Lu, Sancheng Peng*, Youyang Qu, Guojun Wang , and Shui YuModeling on Energy Efficiency Computation Offloading Using Probabilistic Action Generating, IEEE Internet of Things, 2022. (SCI)

10. Sancheng Peng, Lihong Cao, Yongmei Zhou, Aimin Yang, Xinguang Li, Weijia Jia, and Shui Yu. A Survey on Deep Learning for Textual Emotion Analysis in Social Networks. Digital Communications and Networks, 2022. (SCI)

11. Guorui Li, Guang Guo, Sancheng Peng*, Cong Wang, Shui Yu, Jianwei Niu, and Jianli Mo. Matrix Completion via Schatten Capped p Norm. IEEE Transactions on Knowledge and Data Engineering, 2022. (SCI)

12. Yanxia Lv, Fangna Wei, Lihong Cao, Sancheng Peng*, Jianwei Niu, Shui Yu, Cuirong Wang. Aspect-level sentiment analysis using context and aspect memory network. Neurocomputing, 2021. (SCI)

13. Cong Wang, Fanghui Zheng, Guangcong Zheng, Sancheng Peng*, Zejie Tian, Yujia Guo, Guorui Li, Ying Yuan. Modeling on Virtual Network Embedding Using Reinforcement Learning, Concurrency and Computation: Practice and Experience, 2020. (SCI)

14. Sancheng Peng, Guojun Wang, Yongmei Zhou, Cong Wan, Cong Wang, Shui Yu, and Jianwei Niu. An Immunization Framework for Social Networks through Big Data Based Influence Modeling. IEEE Transactions on Dependable and Secure Computing, 2019. (SCI)

15. Guorui Li, Jingsha He, Sancheng Peng*, Weijia Jia, Cong Wang, Jianwei Niu, and Shui Yu. Energy Efficient Data Collection in Large-scale Internet of Things via Computation Offloading, IEEE Internet of Things Journal, 2019. (SCI)

16. Yanxia Lv, Sancheng Peng*, Ying Yuan, Cong Wang, Pengfei Yin, Jiemin Liu, and Cuirong Wang. A Classifier Using Online Bagging Ensemble Method for Big Data Stream, Tsinghua Science and Technology, 2019, 24(4): 379-388. (SCI)

17. Guorui Li, Sancheng Peng*, Cong Wang, Jianwei Niu, and Ying Yuan. An Energy-efficient Data Collection Scheme Using Denoising Autoencoder in Wireless Sensor Networks. Tsinghua Science and Technology, 2019. (SCI)

18. Sancheng Peng, Yongmei Zhou, Lihong Cao, Shui Yu, Jianwei Niu, and Weijia Jia. Influence Analysis in Social Networks: A Survey. Journal of Network and Computer Applications, 2018. (SCI)

19. Sancheng Peng, Shui Yu, Peter Mueller. Social networking big data: Opportunities, solutions, and challenges. Future Generation Computer Systems, 2018. (SCI)

20. Youyang Qu, Shui Yu, Wanlei Zhou, Sancheng Peng*, Guojun Wang, and Ke Xiao. Privacy of Things Emerging Challenges and Opportunities in Wireless Internet of Things. IEEE Wireless Communications, 2018. (SCI)

21. Guorui Li , Haobo Chen, Sancheng Peng*, Xinguang Li, Cong Wang, Shui Yu and Pengfei Yin. A Collaborative Data Collection Scheme based on Optimal Clustering for Wireless Sensor Networks, Sensors, 2018. (SCI)

22. Ruibo Yan, Xi Xiao, Guangwu Hu, Sancheng Peng, Yong Jiang. New deep learning method to detect code injection attacks on hybrid applications, Journal of Systems and Software, 2018. (SCI)

23. Sancheng Peng, Aimin Yang, Lihong Cao, Shui Yu, Dongqing Xie. Social influence modeling using information theory in mobile social networks. Information Sciences, 2017. (SCI)

24. Sancheng Peng, Guojun Wang, Dongqing Xie. Social Influence Analysis in Social Networking Big Data: Opportunities and Challenges. IEEE Network, 2017. (SCI)

25. Mei Wang, Meng Xiao, Sancheng Peng*, Guohua Liu. A hybrid index for temporal big data. Future Generation Computer Systems, 2017. (SCI)

26. Cong Wang, Guohua Liu, Sancheng Peng*, Ying Yuan, Guorui Li, and Cong Wan. Virtual Network Embedding with Pre-transformation and Incentive Convergence Mechanism. Concurrency and Computation: Practice & Experience, 2017. (SCI)

27. Xi Xiao, Ruibo Yan, Runguo Ye, Sancheng Peng*, Qing Li, Shutao Xi. Detecting Code Injection Attacks on Hybrid Apps with Machine Learning. Journal of Internet Technology, 2017. (SCI)

28. Sancheng Peng, Shui Yu, Aimin Yang. Smartphone Malware and Its Propagation Modeling: A Survey. IEEE Communications Surveys and Tutorials, 2014. (SCI)

29. Sancheng Peng, Min Wu, Guojun Wang, Shui Yu. Containing smartphone worm propagation with an influence maximization algorithm. Computer Networks, 2014. (SCI)

30. Sancheng Peng, Min Wu, Guojun Wang, Shui Yu. Propagation Model of Smartphone Worms Based on Semi-Markov Process and Social Relationship Graph. Computers & Security, 2014. (SCI)

31. Sancheng Peng, Guojun Wang, Shui Yu. Modeling the Dynamics of Worm Propagation Using Two-Dimensional Cellular Automata in Smartphones. Journal of Computer and System Sciences, 2013. (SCI)

32. Sancheng Peng, Guojun Wang, Zhongwang Hu, and Jianping Chen. Survivability Modeling and Analysis on 3D Mobile Ad-hoc Networks. Journal of Central South University of Technology, 2011. (SCI)

33. Sancheng Peng, Weijia Jia, Guojun Wang, Jie Wu, and Minyi Guo. Trusted Routing Based on Dynamic Trust Mechanism in Mobile Ad-Hoc Networks. IEICE Transactions on Information and Systems, 2010. (SCI)

34. Sancheng Peng, Weijia Jia, and Guojun Wang. Survivability Evaluation in Large Scale Mobile Ad Hoc Networks. Journal of Computer Science and Technology, 2009. (SCI)

35. 李国瑞, 孟婕, 彭三城*, 王聪. 基于JacobiADMM 的传感网分布式压缩感知数据重构算法. 计算机研究与发展, 2020. (EI)

36. 王聪, 苑迎, 彭三城, 王兴伟, 王翠荣, 万聪. 基于拓扑预配置的公平虚拟网络映射算法. 计算机研究与发展, 2017. (EI)

    申请的发明专利：

37. 一种面向对话文本的情绪分类方法, 申请号: 202310206911.9

38. 基于BERT、LSTM和宽度学习的跨领域情绪分类方法, 申请号: 202210159796.X

39. 一种面向对话文本的负面情绪识别方法, 申请号: 202210779093.7

40. 基于MPNet、Bi-LSTM和宽度学习的多源跨领域情绪分类方法, 申请号: 202210159705.2

41. 基于社交网络和半马尔可夫过程的手机病毒传播动力学建模方法, 申请号: 201410390017.2

42. 一种基于影响力最大化算法的手机病毒传播能力分析方法, 申请号: 201410533222.X

    获奖情况:

    2023年获第十六届中国物联网学术会议（CWSN 2022）“最佳论文”奖.

    2021年获广东省计算机学会“优秀论文奖”一等奖.

    2020年获Tinghua Science Technology和IEEE“优秀论文”奖.

    2018年获广东省计算机学会“优秀论文奖”三等奖.

    2017年获广东省计算机学会“优秀论文奖”二等奖.

    2014年获广东省计算机学会“优秀论文奖”三等奖.

    2015年获“第十四届肇庆市自然科学优秀学术论文”二等奖.

    2011年获“第十二届肇庆市自然科学优秀学术论文”三等奖.

    学术兼职情况:

    中国计算机学会高级会员

    中国计算机学会自然语言处理专业委员会执行委员