头像

刘佳

职称:讲师(高校)

毕业院校:大连理工大学

邮件:liujia@hdu.edu.cn

办公地点: 科技馆311

职务:

研究方向: 人工智能与安全,机器学习

个人简介

刘佳,1990年出生,河南郑州人,大连理工大学,软件工程科学,博士

研究经历:美国加州大学欧文分校,计算机科学,联合培养博士生 (CSC)

研究领域:人工智能与数据安全-机器学习的物联网应用


论文情况:

第一/通讯作者SCI论文4篇

第一/通讯作者EI论文4篇




教育经历

2018-2019 加州大学欧文分校, 电子工程学院, 访问学者. 

2015-2021 大连理工大学, 软件工程, 博士.
2013-2015 大连理工大学, 软件工程, 硕士.

2020-2021 澳大利亚维多利亚大学, 研究助理(博士兼职) 


工作经历

2021.6-至今 杭州电子科技大学网络空间安全学院教师


社会职务
研究领域
机器学习;人工智能;概率图模型;计算机视觉;变分推断;物联网安全;对抗机器学习。 


教学与课程

云计算、C++、人工智能安全、对抗机器学习、可信机器学习、计算机组成原理、操作系统及安全课程设计


论文

Liu J, Li M , Feng Z , et al. An Evolutionary Game-Based Mechanism for Unwanted Traffic Control[C]. Recent Trends and Advances in Wireless and IoT-enabled Networks (EI 检索). 2019. 

Liu J, Li M, Alam M, et al. A game theoretic reward and punishment unwanted traffic control mechanism[J]. Mobile Networks and Applications (SCI 检索,CCF C 类), 2019, 24(4): 1279-1294. 

Liu J, Tang W C , Chen Y , et al. A Novel Crowd-sourcing Inference Method[C]. 2019 15th International Wireless Com- munications and Mobile Computing Conference (IWCMC)(EI 检索,WOS 检索,Q2 会议). 2019. 

Liu J, Tang W C , Chen Y , et al. A Cyber Physical System Crowd-sourcing Inference Method with Tempering: an Advancement in Artificial Intelligence Algorithms [J].Wireless Communications and Mobile Computing(SCI 检索,CCF C 类), 2021, 2021:6618980. 

Liu J, Li M , Chen Y , et al. Variational Channel Estimation with Tempering: An Artificial Intelligence Algorithm for Wireless Intelligent Networks[J]. Sensors (SCI 检索), 2020, 20(20), 5939. 

Liu J, Chen Y , et al. Stein Variational Recommendation System with Knowledge Embedding Enabling the IoT Services[C]. 2021 IECON. 

Liu J, Chen Y, Islam SMN, Alam M. Variational Inference for a Recommendation System in IoT Networks Based on Stein’ s Identity. Applied Sciences. (SCI 检索), 2022; 12(4):1816. https://doi.org/10.3390/app12041816 

Chen Y , Liu J and P. Siano, ”SGedge: Stochastic Geometry-Based Model for Multi-Access Edge Computing in Wireless Sensor Networks,” in IEEE Access (SCI 检索), vol. 9, pp. 111238-111248, 2021, doi: 10.1109/ACCESS.2021.3103003.

Ruan W, Liu J, Chen Y, Islam SMN, Alam M. A Double-Layer Blockchain Based Trust Management Model for Secure Internet of Vehicles. Sensors (Basel). 2023 May 12;23(10):4699. doi: 10.3390/s23104699. PMID: 37430611; PMCID: PMC10223821.

Xun Y, Liu J*, Islam SMN and Chen Y, Multi-View Vehicle Image Generation Network for Vehicle Re-Identification, 2024 IEEE International Conference on Communications Workshops (ICC Workshops)(EI 检索), 2024, pp. 517-522.

曾琦,王烨茹,黄奥龙,杨肖,刘佳. 纤维增强复合材料防弹头盔最新研究进展[J]. 兵器装备工程学报,2025,46(5):305-312. 

Yutong, S., Zhihui, W., Xiang, T., Jia, L.*, Islam, S.M.N. (2027). Forged Image Detecting System Based on Frequency Domain Analysis. Internet of Things - ICIOT 2026. Lecture Notes in Computer Science, vol 16961. Springer, Cham. 

Z. Wang, T. Xiang, Y. Shen, J. Liu*, and S.M.N Islam, Privacy-Preserving Forged Audio Detection System Based on Semantic-Acoustic Decoupling, in Proc. Int. Conf. Blockchain Web3.0 Technol. Innov. Appl. Exchange - Privacy, Security, Scalability Issues Solutions, 2026.

Zhao, X., Liu, J., & Xue, T. (2026). CRONOS-RL: A placebo-controlled diagnostic study of regime conditioning in offline reinforcement learning. Paper presented at the 8th International Conference on Data Science and Computational Intelligence (DSCI 2026), Exeter, UK.

Y. Shen and J. Liu*, “A Fairness Evaluation System for Trustworthy AI in Data Element Circulation Governance,” in 2026 the 4th International Conference on Big Data and Data Mining (BDDM), Changsha, China, 2026.



著作
专利成果
荣誉及奖励
软件成果