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Xiliang

School of Computer Science and Technology

Degree: Doctor

Graduate School: Harbin University of Science and Technology

Email: xiliang@hrbust.edu.cn

Office Location: G817, Dianqi Dasha

Tel: 86-15945997818

BirthDate: 1983-05-28

Related to the teacher

Curriculum vitae

I am now a professor at the School of Computer Science and Technology, Harbin University of Science and Technology. I received my Ph.D. degree in Computer Applied Technology from the Harbin University of Science and Technology, Harbin, China, in 2012. I was also affiliated with the University of Texas at Dallas as a visiting scholar during Nov. 2019-Nov. 2020. I was a recipient of the National Science Foundation of China in 2012, the Chunhui Project Foundation of the Education Department of China in 2023, the Natural Science Foundations of Heilongjiang Province in 2018 and 2022, the Innovative Talents project of Common University in Heilongjiang Province in 2015, etc.


Education experience

I received my Ph.D. degree in Computer Applied Technology from the Harbin University of Science and Technology, Harbin, China, in 2012. 

work experience

I am now a professor at the School of Computer Science and Technology, Harbin University of Science and Technology. I was also affiliated with the University of Texas at Dallas as a visiting scholar during Nov. 2019-Nov. 2020. 

Research direction research

Artificial Intelligence, Machine Learning, Data Mining, Network Security, Anomaly Detection, Internet of Things, Cyber-Physical Systems (CPS), Biologically-inspired Systems


Undertake projects

I was a recipient of the National Science Foundation of China in 2012, the Chunhui Project Foundation of the Education Department of China in 2023, the Natural Science Foundations of Heilongjiang Province in 2018 and 2022, the Innovative Talents project of Common University in Heilongjiang Province in 2015, etc.

Teaching work

TCP/IP, Data Structure and Algorithms,Wireless Sensor Networks, Malicious Code Analysis, Software Development Security Technology,IoT Security Technology


Social Position

Artificial Intelligence, Machine Learning, Data Mining, Network Security, Anomaly Detection, Internet of Things, Cyber-Physical Systems (CPS), Biologically-inspired Systems


Email: xiliang@hrbust.edu.cn

Website: https://mrxiliang.github.io/





Patent achievement

发明专利:

[1] 席亮*, 刘越. 一种基于用户商品画像和潜在因子特征提取的混合推荐方法.2022-11-01, 中国, ZL202010065292.2.

[2] 席亮*, 姚之钰, 赵一霖, 张凤斌. 一种邻域形态空间人工免疫检测器多源生成算法. 2021-03-05, 中国, ZL201811439455.8.

[3] 席亮*, 陈晓壮, 李鸿鹄, 林中霖, 胡琮梅. 一种基于任务驱动的自适应SDN仿真系统及仿真平台. 2019-12-17, 中国, ZL201811425107.5.

[4] 席亮, 梁晨晨, 梁钰佳. 基于深度无监督自动编码器的图异常检测方法. 申请号: 202210281370.1(实审中: 2022.06.23).

[5] 席亮, 梁钰佳, 梁晨晨. 基于对抗联合最大均值差异的时间序列数据无监督分类方法. 申请号: 202210281313.3(实审中: 2022.06.23).

[6] 席亮, 李梦涵. 一种基于时空融合图神经网络的交通流量预测方法. 申请号: 202210623693.4(实审中: 2022.09.05).

[7] 陈婧伊, 席亮,刘洋. 一种基于自注意力卷积网络的刀具磨损值预测算法. 申请号: 202210477446.8(实审中: 2022.08.04).

[8] 席亮, 苗德华, 李梦涵. 一种自适应相关感知无监督深度学习异常检测方法. 申请号: 202211428341.X(实审中: 2023.04.06).

[9] 席亮, 李梦涵, 苗德华. 一种掩码图自编码器异常检测方法. 申请号: 202211434110.X(实审中: 2023.04.06).

[10] 席亮, 何东, 孟祥龙. 基于多级 Transformer 网络的6G卫星图像滑坡检测方法. 申请号: 202211438456.7(实审中: 2023.03.07).

[11] 席亮, 何东, 苗德华. 基于多分辨率自编码器和特征匹配判别器的6G网络流量入侵检测方法. 申请号: 202211434979.4(实审中: 2023.06.07).

[12] 席亮, 孟祥龙, 苗德华. 一种基于伪标记和假数据识别的遥感图像分类方法. 申请号: 202211434963.3(实审中: 2023.06.07).

[13] 席亮, 孟祥龙, 何东. 一种基于视觉模糊和旋转预测森林图像中毁林因素的分类方法. 申请号: 202211434389.1(实审中: 2023.06.07).

[14] 席亮, 邓智博, 池明赫. 一种基于多模态联合学习的变压器缺陷检测方法. 申请号: 202310819263.4 (初审合格: 2023.09.06).

  

  



published work

[1]C语言程序设计. 席亮(副主编), 清华大学出版社, 2014.05. 

[2]数据库原理与应用. 席亮(主编), 电子工业出版社, 2017.08. 

[3]数据库原理及应用. 席亮(副主编), 华中科技大学出版社, 2017.04. 

[4]数据结构(C语言版). 席亮(副主编), 华中科技大学出版社, 2017.02. 

[5]译著:MATLAB原理与应用(第7版)工程问题求解与科学计算. 杨海陆、席亮译, 清华大学出版社, 2020.08. 



publish one’s thesis

[1] Liang Xi*, Ruidong Wang, Zhiyu Yao, Fengbin Zhang. Multisource neighborhood immune detector adaptive model for anomaly detection. IEEE Transactions on Evolutionary Computation, 2021, 25(3): 582-594 (SCI, IF: 16.497).

[2] Liang Xi*, Ruidong Wang, Zygmunt J. Haas. Data-correlation-aware unsupervised deep-learning model for anomaly detection in cyber-physical systems. IEEE Internet of Things Journal, 2022, 9(22): 22410-22421 (SCI, IF: 10.6).

[3] Liang Xi*, Chenchen Liang, Han Liu, Ao Li. Unsupervised dimension-contribution-aware embeddings transformation for anomaly detection. Knowledge-Based Systems, 2023, 262, ArticleID: 110209 (SCI, IF=8.8).

[4] Liang Xi*, Qiaodan Hu, Han Liu. Graph-embedding-inspired article recommendation model [J]. Expert Systems with Applications, 2023, 214, ArticleID: 119100 (SCI, IF=8.5).

[5] Liang Xi*, Wei Wang, Jingyi Chen, Xuefeng Wu. Appending-inspired multivariate time series association fusion for tool condition monitoring. Journal of Intelligent Manufacturing, 2023 (IF=8.3).

[6] Liang Xi*, Yujia Liang, Xunhua Huang, Han Liu, Ao Li. Unsupervised multimodal domain adversarial network for time series classification. Information Sciences, 2023, 624: 147-164 (SCI, IF=8.1).

[7] Liang Xi*, Zichao Yun, Han Liu, Ruidong Wang, Xunhua Huang, Haoyi Fan. Semi-supervised time series classification model with self-supervised learning. Engineering Applications of Artificial Intelligence, 2022, 116, ArticleID: 105331(SCI, IF: 8.0).

[8] Liang Xi, Fengbin Zhang*. An adaptive artificial-fish-swarm-inspired fuzzy C-means algorithm. Neural Computing and Applications, 2020, 32(22): 16891-16899 (SCI, IF: 5.606).

[9] Liang Xi*, Ruidong Wang, Fengbin Zhang, Yuezhongyi Sun. CC-CSA: A culture&chaos-inspired clonalselection algorithm for abnormal detection. Journal of Intelligent & Fuzzy Systems, 2020, 39(1): 1289-1301 (SCI, IF: 1.637).


Honor

the Innovative Talent of Common University in Heilongjiang Province in 2015