基本信息：

姓名：谢学说

性别：男

职称：中级

电子邮箱：xueshuoxie@nankai.edu.cn

联系电话：18222397398

通讯地址： 天津市滨海高新区信息安全产业园1号楼4楼，信创海河实验室

研究方向：物端可信智能计算、区块链安全

招生专业：

（1）院系名称：人工智能学院

招生类别：硕士

学位类型：专业学位或学术学位

学科：软件工程、电子信息

类别：全日制

代表性论文、主要著作、科研项目、奖项成果、专利、成就等

论文：

[1] Jian, Z., Lu, Y., Qiao, Y., Fang, Y., Xie, X., Yang, D., ... & Li, T. (2023). TSC-VEE: A TrustZone-Based Smart Contract Virtual Execution Environment. IEEE Transactions on Parallel and Distributed Systems.

[2] Li, T., Wang, H., Fang, Y., Jian, Z., Wang, Z., & Xie, X*. (2022, November). Block-gram: Mining Knowledgeable Features for Smart Contract Vulnerability Detection. In International Conference on Smart Computing and Communication (pp. 546-557). Cham: Springer Nature Switzerland.

[3] Jian, Z., Jin, Z., Xie, X., Lu, Y., Li, G., Chen, X., & Baker, T. (2021). Sysnif: A log-based workflow construction method and performance measurement in intelligent IoT system. Measurement, 186, 110175.

[4] Xueshuo, X., Jiming, W., Junyi, Y., Yaozheng, F., Ye, L., Tao, L., & Guiling, W. (2021). AWAP: Adaptive weighted attribute propagation enhanced community detection model for bitcoin de-anonymization. Applied Soft Computing, 109, 107507.

[5] Li, T., Fang, Y., Jian, Z., Xie, X., Lu, Y., & Wang, G. (2021). ATOM: Architectural support and optimization mechanism for smart contract fast update and execution in blockchain-based IoT. IEEE Internet of Things Journal, 9(11), 7959-7971.

[6] Xie, X., Wang, Z., Xiao, X., Lu, Y., Huang, S., & Li, T. (2021). A confidence-guided evaluation for log parsers inner quality. Mobile Networks and Applications, 26, 1638-1649.

[7] Liu, Z., Lu, Y., Xie, X., Fang, Y., Jian, Z., & Li, T. (2021, July). Trusted-dnn: A trustzone-based adaptive isolation strategy for deep neural networks. In ACM Turing Award Celebration Conference-China (ACM TURC 2021) (pp. 67-71).

[8] Fang, Y., Jian, Z., Jin, Z., Xie, X., Lu, Y., & Li, T. (2021). Fast policy interpretation and dynamic conflict resolution for blockchain-based IoT system. Wireless Communications and Mobile Computing, 2021, 1-14.

[9] Xie, X., Jin, Z., Wang, J., Yang, L., Lu, Y., & Li, T. (2020). Confidence guided anomaly detection model for anti-concept drift in dynamic logs. Journal of network and computer applications, 162, 102659.

[10] Xie, X., Fang, Y., Jian, Z., Lu, Y., Li, T., & Wang, G. (2020). Blockchain-driven anomaly detection framework on edge intelligence. CCF Transactions on Networking, 3, 171-192.

[11] Wang, J., Xie, X., Fang, Y., Lu, Y., Li, T., & Wang, G. (2020). Attribute Propagation Enhanced Community Detection Model for Bitcoin De-anonymizing. In Machine Learning for Cyber Security: Third International Conference, ML4CS 2020, Guangzhou, China, October 8–10, 2020, Proceedings, Part I 3 (pp. 607-622). Springer International Publishing.

[12] Xie, X., Jin, Z., Han, Q., Huang, S., & Li, T. (2019). A confidence-guided anomaly detection approach jointly using multiple machine learning algorithms. In Cyberspace Safety and Security: 11th International Symposium, CSS 2019, Guangzhou, China, December 1–3, 2019, Proceedings, Part II 11 (pp. 93-100). Springer International Publishing.

科研项目：

【1】计算机体系结构国家重点实验室开放课题，CARCHA202108，基于TEE的智能合约可信执行引擎设计与优化研究，2021-11 至 2023-10，10万元；

【2】之江实验室开放课题，2022PG0AB05(2019KD0AD01/016)，天枢平台昇腾AI 芯片适配与效能优化，2022-02 至 2023-01，30万元；

【3】浙江省区块链与网络空间治理重点实验室开放课题，基于集成学习的鲁棒性智能合约安全分析方法研究，2021-10至 2022-09月，2万元。

奖项成果

【1】作为指导教师的“问鼎智井——险情预警物联网井盖，地下有限空间的守护者”项目获得第八届中国国际“互联网 +”大学生创新创业大赛全国总决赛高教主赛道铜奖；

【2】《智能计算系统》优秀教学奖；

【3】ACM TURC 2021 Best Paper Award；

【4】CSS 2019 Best Paper Award。

专利：

【1】 一种基于低维字节码特征的智能合约的漏洞检测方法，202211540037.4；

【2】 一种基于TrustZone的Solidity语言智能合约可信执行引擎，202210103618.5；

【3】 一种任务执行方法、装置、存储介质及电子设备，202310269682.5；

【4】 一种扩展物联网设备上安全资源的内存优化方法，202310561814.1；

【5】 一种内网安全威胁分析方法，201910219705.5，已授权。