长期从事信息安全技术研发和重要信息系统设计集成工作，主持和参与国家级和省部级科研项目50多项，曾获国家科技进步二等奖1项，省部级科技进步一二三等奖20余项，新世纪百千万人才工程国家级人选，享受国务院政府特殊津贴。

[1] Li, Ce, Lv, Qiujian, Li, Ning, Wang, Yan, Sun, Degang, Qiao, Yuanyuan. A novel deep framework for dynamic malware detection based on API sequence intrinsic features. COMPUTERS & SECURITY[J]. 2022, 116: http://dx.doi.org/10.1016/j.cose.2022.102686.

[2] Yang, Haitian, Zhao, Xuan, Wang, Yan, Sun, Degang, Chen, Wei, Huang, Weiqing. BertHANK: hierarchical attention networks with enhanced knowledge and pre-trained model for answer selection. KNOWLEDGE AND INFORMATION SYSTEMS. 2022.

[3] Ce Li, Zijun Cheng, He Zhu, Leiqi Wang, Qiujian Lv, Yan Wang, Ning Li, Degang Sun. DMalNet: Dynamic Malware Analysis Based on API Feature Engineering and Graph Learning. Computers & Security. http://dx.doi.org/10.1016/j.cose.2022.102872.

[4] Ou, Changhai, Lam, SiewKei, Sun, Degang, Zhou, Xinping, Qiao, Kexin, Wang, Qu. SNR-Centric Power Trace Extractors for Side-Channel Attacks. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS[J]. 2021, 40(4): 620-632, https://www.webofscience.com/wos/woscc/full-record/WOS:000633495300002.

[5] Sun Degang. DeepMIT: A Novel Malicious Insider Treat Detection Framework based on Recurreent Neural Network. Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design. 2021.

[6] 王婷婷, 吕遒健, 胡波, Sun Degang. A Few-Shot Class-Incremental Learning Approach for Intrusion Detection.. The 30th International Conference on Computer Communication and Networks (ICCCN)[J]. 2021.

[7] Yang, Yang, Li, Min, Meng, Bo, Ren, Junxing, Sun, Degang, Huang, Zihao. Rethinking the Aligned and Misaligned Features in One-stage Object Detection. 2021.

[8] Yang, Yang, Li, Min, Meng, Bo, Huang, Zihao, Ren, Junxing, Sun, Degang. Objects as Extreme Points. 2021, http://arxiv.org/abs/2104.14066.

[9] Sun, Degang, Liu, Meichen, Li, Meimei, Shi, Zhixin, Liu, Pengcheng, Wang, Xu, Shen, W, Barthes, JP, Luo, J, Shi, Y, Zhang, J. DeepMIT: A Novel Malicious Insider Threat Detection Framework based on Recurrent Neural Network. PROCEEDINGS OF THE 2021 IEEE 24TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD)null. 2021, 335-341.

[10] 王思叶. URTracker: unauthorized reader detection and localization using COTS RFID. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 12937 LNCS, p 339-350, 2021, Wireless Algorithms, Systems, and Applications - 16th International Conference, WASA 2021, Proceedings;. 2021

[11] Wang, Tingting, Zhao, Xufeng, Lv, Qiujian, Hu, Bo, Sun, Degang, Shen, W, Barthes, JP, Luo, J, Shi, Y, Zhang, J. Density Weighted Diversity Based Query Strategy for Active Learning. PROCEEDINGS OF THE 2021 IEEE 24TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD)null. 2021, 156-161.

[12] 孙德刚, 郭韵婷, 喻民, 姜建国, 黄伟庆. FUNC-ESIM: A Dual Pairwise Attention Network for Cross-version Binary Function Matching. IJCNNnull. 2021.