General

Bo Jiang  Associate Professor

Institute of Information Engineering, Chinese Academy of Sciences

CONTACT

Office: No.19 Shu Cun Road, Haidian District, Beijing, China.

E-Mail:  jiangbo at iie.ac.cn

About Me

I am currently an associate professor at Institute of Information Engineering, Chinese Academy of Sciences. My research fields are artificial intelligence, data mining, machine learning, knowledge graph, and network security.

I am looking for highly-motivated students to work with me on the exciting area of network security, data mining, and machine learning. 

Experience

Work Exprience

Institute of Information Engineering, Chinese Academy of Sciences

Associate Professor           Sep 2019 - Present

Institute of Information Engineering, Chinese Academy of Sciences

Assistant Professor            Sep 2016 - Oct 2019

Teaching Experience

Course: Operating System: Seminar      University of Chinese Academy of Sciences

Publications

  1. Xueying Han, Susu Cui, Song Liu, Zhigang Lu, Bo Jiang. Network Intrusion Detection based on N-gram Frequency and Time-aware Transformer. Computer & Security, 2023:103171.

  2. Chonghua Wang, Hao Zhou, Zhiqiang Hao, Shu Hu, Jun Li, Xueying Zhang, Bo Jiang, Xuehong Chen. Network Traffic Analysis Over Clustering-based Collective Anomaly Detection. Computer Networks, 2022:108760.

  3. Haitao Xiao, Chen Zhang, Song Liu, Bo Jiang, Zhigang Lu, Fei Wang, Yuling Liu. CapsITD: Malicious Insider Threat Detection Based on Capsule Neural Network. 18th EAI International Conference on Security and Privacy in Communication Networks (SecureComm 2022), Kansas City, United States, October 17-19, 2022.

  4. Xueying Han, Pu Dong, Song Liu, Bo Jiang, Zhigang Lu, Zelin Cui. IV-IDM: Reliable Intrusion Detection Method based on Involution and Voting. IEEE International Conference on Communications (ICC 2022), Seoul, South Korea, 16–20 May 2022.

  5. ​Jiyue Tang, Le Yang, Song Liu, Wenmao Liu, Meng Wang, Chonghua Wang, Bo Jiang, Zhigang Lu. Caps-LSTM: A Novel Hierarchical Encrypted Traffic Identification using CapsNet and LSTM. The 3rd International Conference on Science of Cyber Security (SciSec 2021), August 13-15, 2021.

  6. Xueying Han, Rongchao Yin, Zhigang Lu, Bo Jiang, Yuling Liu, Song Liu, Chonghua Wang, Ning Li. STIDM: A Spatial and Temporal Aware Intrusion Detection Model. The 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2020), Guangzhou, China, December 29, 2020 - January 1, 2020.

  7. Yaopeng Han, Zhigang Lu, Bo Jiang, Yuling Liu, Chen Zhang, Zhengwei Jiang, Ning Li. A Multi-Task Learning Framework Based on Adversarial Training for Chinese Cybersecurity NER. The 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (Trustcom 2020), Guangzhou, China, December 29, 2020-January 1, 2021, 2020.

  8. Yaopeng Han, Zhigang Lu, Bo Jiang, Yuling Liu, Chen Zhang, Zhengwei Jiang, Ning Li. A Multi-Task Learning Framework Based on Adversarial Training for Chinese Cybersecurity NER. The 17th Annual IFIP International Conference on Network and Parallel Computing (NPC 2020), Zhengzhou, China, September 28-30, 2020.

  9. Cong Dong, Zhigang Lu, Baoxu Liu, Bo Jiang, Ning Li, Pingchuan Ma, Zhengwei Jiang, Junrong Liu. Knowledge Graph for Cyberspace Security Intelligence：A Survey. Journal of Cyber Security, 2020,5(5):56-76. (in Chinese)

  10. Cong Dong, Chen Zhang, Zhigang Lu, Baoxu Liu, Bo Jiang. CETAnalytics: Comprehensive Effective Traffic Information Analytics for Encrypted Traffic Classification. Computer Networks, 2020(176):107258.

  11. Shijie Jian, Zhigang Lu, Dan Du, Bo Jiang, Baoxu Liu. Overview of Network Intrusion Detection Technology. Journal of Cyber Security, 2020,5(4):96-122. (in Chinese)

  12. Shijie Jian, Zhigang Lu, Bo Jiang, Dan Du, Baoxu Liu. Flow Anomaly Detection Based on Hierarchical Clustering Method. Journal of Information Security Research, 2020,6(6):474-481. (in Chinese)

  13. Bo Jiang, Zhigang Lu, Yuling Liu, Ning Li, Zelin Cui. Social Recommendation in Heterogeneous Evolving Relation Network. The 2020 International Conference on Computational Science (ICCS 2020), Amsterdam, The Netherlands, June 3-5, 2020:554-567.

  14. Qing Wang, Linyu Li, Bo Jiang, Zhigang Lu, Junrong Liu, Shijie Jian. Malicious Domain Detection Based on K-means and SMOTE. The 2020 International Conference on Computational Science (ICCS 2020), Amsterdam, The Netherlands, June 3-5, 2020:468-481.

  15. Feng Yi, Bo Jiang, Jianjun Wu, Lu Wang. Cybersecurity Named Entity Recognition using Multi-modal Ensemble Learning. IEEE Access, 2020(8):63214-63224.

  16. Feng Yi, Bo Jiang, Jianjun Wu. Heterogeneous Information Network Embedding for Mention Recommendation. IEEE Access, 2020(8):91394-91404.

  17. Feng Yi, Bo Jiang, Jianjun Wu. Topic Modeling for Short Texts via Word Embedding and Document Correlation. IEEE Access, 2020(8):30692-30705.

  18. Cong Dong, YuFan Chen, YunJian Zhang, Bo Jiang, DongXu Han, BaoXu Liu. An Approach for Scale Suspicious Network Events Detection. In Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData 2019), Los Angeles, CA, USA, Dec 9-12, 2019.

  19. Pingchuan Ma, Bo Jiang, Zhigang Lu, Ning Li and Zhengwei Jiang. Cybersecurity Named Entity Recognition using Bidirectional Long Short-Term Memory with Conditional Random Fields. In Proceedings of the 16th Annual IFIP International Conference on Network and Parallel Computing (NPC 2019), Hohhot, Inner Mongolia, China, Aug 23-24, 2019.

  20. Bo Jiang, Feng Yi, Jianjun Wu, Zhigang Lu. Retweet Prediction using Context-aware Coupled Matrix-Tensor Factorization. In Proceedings of the 12th International Conference on Knowledge Science, Engineering and Management (KSEM 2019), Athens, Greece, Aug 28-30, 2019.

  21. Susu Cui, Bo Jiang, Zhenzhen Cai, Zhigang Lu, Chen Zhang, Jian Liu. A Session-Packets-based Encrypted Traffic Classification using Capsule Neural Networks. In Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications (HPCC 2019), Zhangjiajie, China, Aug 10-12, 2019.

  22. Bo Jiang, Zhigang Lu, Ning Li, Zelin Cui. Mention Recommendation with Context-aware Probabilistic Matrix Factorization. In Proceedings of the 2019 International Conference on Computational Science (ICCS 2019), Faro, Algarve, Portugal, Jun 12-14, 2019.

  23. Zhenzhen Cai, Bo Jiang, Zhigang Lu, Junrong Liu, Pingchuan Ma. isAnon: Flow-Based Anonymity Network Traffic Identification Using Extreme Gradient Boosting. In Proceedings of the 2019 International Joint Conference on Neural Networks (IJCNN 2019), Budapest, Hungary, July 14-19, 2019.

  24. Bo Jiang, Zhigang Lu, Ning Li, Jianjun Wu, Feng Yi, Dongxu Han. Retweeting Prediction using Matrix Factorization with Binomial Distribution and Contextual Information. In Proceedings of the 24th International Conference on Database Systems for Advanced Applications (DASFAA 2019), Chiang Mai, Thailand, April 24-25, 2019.

  25. Jianjun Wu, Ying Sha, Bo Jiang and Jianlong Tan. DSINE: Deep Structural Influence Learning via Network Embedding. In Proceedings of the 33th AAAI Conference on Artificial Intelligence (AAAI 2019), Honolulu, Hawaii, Jan 27-Feb 1, 2019. Poster

  26. Mingyi Chen, Yepeng Yao, Junrong Liu, Bo Jiang, Liya Su and Zhigang Lu. A Novel Approach for Identifying Lateral Movement Attacks Based on Network Embedding. In Proceedings of the 16th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2018), Melbourne, Australia, Dec 11-13, 2018.

  27. Bo Jiang, Zhigang Lu, Ning Li, Jianjun Wu, Zhengwei Jiang. Retweet Prediction using Social-aware Probabilistic Matrix Factorization. In Proceedings of the 2018 International Conference on Computational Science (ICCS 2018), Wuxi, China, June 11-13, 2018.

  28. Cheng Liu, Ying Sha, Bo Jiang, Guo Li. Detecting Implicit Organization on Sina Weibo. Journal of Chinese Information Processing, 2017, 31(2): 139-145. (in Chinese)

  29. Jianjun Wu, Ying Sha, Rui Li, Qi Liang, Bo Jiang, Jianlong Tan, Bin Wang. Identification of Influential Users based on Topic-Behavior Influence Tree in Social Networks. In Proceedings of the 6th Conference on Natural Language Processing and Chinese Computing (NLPCC 2017), Dalian, China, November 8-12, 2017.

  30. Bo Jiang, Jiguang Liang, Ying Sha, Lihong Wang. Domain Dictionary-based Topic Modeling for Social Text. In Proceedings of the 17th International Conference on Web Information Systems Engineering (WISE 2016), Shanghai, China, November 8-10, 2016.

  31. Bo Jiang, Jiguang Liang, Ying Sha, Rui Li, Wei Liu, Hongyuan Ma, Lihong Wang. Retweeting Behavior Prediction Based on One-Class Collaborative Filtering in Social Networks. In Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016), Pisa, Tuscany, Italy, July 17-21, 2016. Short Paper

  32. Bo Jiang, Jiguang Liang, Ying Sha, Lihong Wang, Zhixin Kuang, Rui Li, Peng Li. Unifying User and Message Clustering Information for Retweeting Behavior Prediction. In Proceedings of the 17th International Conference on Web-Age Information Management (WAIM 2016), Nanchang, China, June 3-5, 2016.

  33. Jiguang Liang, Bo Jiang, Rongchao Yin, Chonghua Wang, Jianlong Tan, Shuo Bai. RTPMF: Leveraging User and Message Embeddings for Retweeting Behavior Prediction. In Proceedings of the 2016 International Conference on Computational Science (ICCS 2016), San Diego, California, USA, June 6-8, 2016.

  34. Bo Jiang, Jiguang Liang, Ying Sha, Lihong Wang. Message Clustering based Matrix Factorization Model for Retweeting Behavior Prediction. In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia, Oct 19-23, 2015. Short Paper

  35. Bo Jiang, Ying Sha, Lihong Wang. A Multi-view Retweeting Behavior Prediction in Social Networks. In Proceedings of the 17th Asia-Pacific Web Conference (APWeb 2015), Guangzhou, China, September 18-20, 2015.

  36. Bo Jiang, Ying Sha, Lihong Wang. Predicting User Mention Behavior in Social Networks. In Proceedings of the 4th CCF Conference on Natural Language Processing and Chinese Computing (NLPCC 2015), Nanchang, China, October 9-13, 2015.

  37. Bo Jiang, Ying Sha. Modeling Temporal Dynamics of User Interests in Online Social Networks. In Proceedings of the 2015 International Conference on Computational Science (ICCS 2015), Reykjavik, Iceland, June 1-3, 2015.

  38. Yang Li, Ying Sha, Jixi Shan, Bo Jiang, Jianjun Wu. Preventing the Diffusion of Negative Information based on Local Influence Tree. In Proceedings of the 29th Symposium On Applied Computing (SAC 2014), Gyeongju, Korea, March 24-28, 2014.

  39. Yang Li, Ying Sha, Jixi Shan, Bo Jiang. Finding High Influence Vertices based on Candidate Set. In Proceedings of the 14th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2013), Taipei, Taiwan, December 16-18, 2013.

Professional Service

Conference/Workshop Program Committee Co-Chair or Senior PC:

2019 The 28th ACM International Conference on Information and Knowledge Management (CIKM'19) Classification Track Chair.

Students

已指导学生

张绩成  硕士研究生  085412-网络与信息安全  

许思民  硕士研究生  083900-网络空间安全  

现指导学生

尚梦川  硕士研究生  083900-网络空间安全  

李凌浩  硕士研究生  083900-网络空间安全  

乔伟  硕士研究生  083900-网络空间安全  

董天琦  硕士研究生  083900-网络空间安全