一、个人简介

聂黎明，深圳技术大学,大数据与互联网学院，副教授，硕导，CCF软件工程专业委员会和系统软件专业委员会执行委员，IEEE与ACM会员。博士毕业于大连理工大学，师从江贺教授；曾工作于新加坡南洋理工大学计算机科学与工程学院，任高级研究员，师从刘杨教授。目前主要研究兴趣包括：（1）面向复杂环境的多智能体自适应决策与智能协同关键技术；（2）软件可信性关键技术（3）多模态大语言模型理论与应用，场景包括GUI代码自动生成、泛在GUI问题识别定位和修复、特种疾病的辅助诊疗、温室智能控制等。先后主持国家自然科学基金面上项目和重点项目子课题、浙江省自然科学基金、浙江省厅级项目各1项，及多个企业项目。已发表论文20余篇，包括发表于FSE、 TSC、Information Fusion、 IEEE Journal Biomed. Health Informatics等国际一流期刊/会议的多篇论文，单篇最高引用过175次。

提供国内外高水平大学、研究所和企业的合作机会；

提供课题绩效；

科研名额持续开放中！欢迎感兴趣的同学联系nieliming@sztu.edu.cn

二、工作经历

2024.01  至今， 深圳技术大学，副教授

2021.06 - 2023.10，南洋理工大学，高级研究员

2017.10 - 2018.01，香港理工大学，访问学者

2017.07 - 2021.06，浙江理工大学，讲师

三、主要研究领域

智能化软件工程，多智能体自适应协同决策

四、代表性项目

(1)国家自然科学基金重点项目子课题负责人，重点项目+基于计算连续体的可持续智慧农业管理关键技术研究应用及示范, 2025/01-2028/12, 200万, 在研, 参与单位负责人;

(2)国家自然科学基金面上项目：数据驱动的GUI代码自动生成, 2020/01-2023/12, 60万, 结题, 主持;

(3)浙江省自然科学基金一般项目：基于编程上下文大数据的移动应用智能化开发技术研究，2019/01-2021/12, 10万, 结题, 主持;

(4)浙江省农业农村厅“三农九方”农业科技协作计划揭榜挂帅项目：数字化温室，2022/01 -2024/12，30万, 结题，主持;

(5)航天科工集团-贵州航天智慧农业有限公司，智慧农业管控一体化系列项目, 2019/03-2020/03, 125万, 结题，主持;

(6)国家自然科学基金委员会青年基金项目：基于蜕变测试技术的自动程序修复方法研究，2019/01至2021/12，26万元，结题，主要参与;

(7)浙江省科技厅-重点研发计划项目：新能源汽车多合一电驱动总成系统的研发及应用，3000万，2023/01-2025/12，在研，主要参与;

(8)浙江省科技厅-重点研发计划项目：面向宜居乡村分散式污水与垃圾治理的动态监测技术及装备研发， 2021/01-2023/12, 1,060万元，结题，主要参与;

五、部分代表性论文

[1] Qian Mei, Wenxia Guo, Yanan Zhao, Liming Nie*, and Deepak Adhikari. "Blockchain-based privacy-preserving incentive scheme for internet of electric vehicle." Information Fusion 115: 102732, 2025. (JCR-Q1, IF16.1,通讯作者)

[2] Liming Nie, Yangyang Zhao, Chenglin Li, Xuqiong Luo, Yang Liu. Shadows in the Interface: A Comprehensive Study on Dark Patterns, FSE, 2024. (CCF-A, CSRanking,第一作者)

[3] Liming Nie, Kabir Sulaiman Said, Ming Hu. SoK: An Exhaustive Taxonomy of Display Issues in Software Applications, ACM Conference on Intelligent User Interfaces (IUI), 2024. (CCF-B,第一作者)

[4] Dongyuan Wu, Liming Nie*, Rao Asad Mumtaz, and Kadambri Agarwal. A LLM-Based Hybrid-Transformer Diagnosis System in Healthcare. IEEE Journal of Biomedical and Health Informatics, 2024 (JCR-Q1, IF7.1,通讯作者)

[5] Dongming Xiang, Yuanchang Lin (硕士生), Liming Nie*. et al. An empirical study of attack-related events in DeFi projects development. Empirical Software Engineering (ESE), 29(49). 2024. (CCF-B，JCR-Q1, IF4.5,通讯作者)

[6] Xiaoyan Zhu, Mingyue Jiang*, Xiao-Yi Zhang, Liming Nie, and Zuohua Ding. "MTAS: A Reference-Free Approach for Evaluating Abstractive Summarization Systems." Proceedings of the ACM on Software Engineering 1, no. FSE (2024): 2561-2583. (CCF-A)

[7] Jiang, Junpeng, Mingyue Jiang*, Liming Nie, and Zuohua Ding. "A source model simplification method to assist model transformation debugging." Software Quality Journal (2024): 1-24. (CCF-C)

[8] Jianfei Sun, Junyi Tao, Hao Zhang, Yanan Zhao, Liming Nie, Xiaochun Cheng, and Tianwei Zhang. A Tamper-Resistant Broadcasting Scheme for Secure Communication in Internet of Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems (TITS), 2023. (CCF-B)

[9] Liming Nie, Kabir Sulaiman Said, Lingfei Ma, Yaowen Zheng, Yangyang Zhao. A systematic mapping study for graphical user interface testing on mobile apps,IET Software, 2023. (CCF-B，JCR-Q3,第一作者)

[10] Kabir Sulaiman Said (硕士生), Liming Nie*, Yuangchang Lin, Yaowen Zheng, Zuohua Ding. Automated GUI Widgets Classification. Frontiers of Computer Science (FCS), 2023. (CCF-B, JCR-Q1, IF3.4,通讯作者)

[11] Chenglin Li, Yangyang Zhao, Yibiao Yang, Yuming Zhou, Liming Nie and Zuohua Ding. Investigating the Impact of Bug Dependencies on Bug-fixing Time Prediction, 2023 ACM/EEE International Symposium on Empirical Software Engineering and Measurement (ESEM), 2023. (CCF-B)

[12] Han Liu, Sen Chen, Ruitao Feng, Chengwei Liu; Kaixuan Li, Zhengzi Xu, Liming Nie, Yang Liu, Yixiang Chen*. A Comprehensive Study on Quality Assurance Tools for Java. ISSTA, 2023. (CCF-A)

[13] Huang, Renke, Jiachi Chen, Yanlin Wang, Tingting Bi, Liming Nie and Zibin Zheng. An overview of Web3 Technology: Infrastructure, Applications, and Popularity. Blockchain: Research and Applications (2023).

[14] Jing Ding(硕士生), Liming Nie*, Yang Liu, Zuohua Ding, and Jifeng Xuan. An Exploratory Study for GUI Posts on Stack Overflow. In 2022 IEEE 22nd International Conference on Software Quality, Reliability and Security (QRS), 1113-1124, 2022. (CCF-C,通讯作者)

[15] Lingfei Ma(硕士生), Liming Nie*, Chenxi Mao, Yaowen Zheng, and Yang Liu. An Empirical Study of the Impact of COVID-19 on OSS Development. In 2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C), 708-717, 2022. (CCF-C,通讯作者)

[16] Bai Liu, and Liming Nie. Gradient based invasive weed optimization algorithm for the training of deep neural network. Multimedia Tools and Applications: 22795-22819, 2021. (CCF-B)

[17] Kabir S. Said(硕士生), Liming Nie*, Adekunle Akinjobi Ajibode, Xueyi Zhou. GUI testing for mobile applications: objectives, approaches and challenges. Internetware: 51-60, 2020. (CCF-C,通讯作者)

[18] Xin Chen, He Jiang, Xiaochen Li, Liming Nie, Dongjin Yu, Tieke He, Zhenyu Chen. A systemic framework for crowdsourced test report quality assessment. Empirical Software Engineering (ESE). 25(2): 1382-1418, 2020. (CCF-B)

[19] Liming Nie, He Jiang, Zhilei Ren, Zeyi Sun, Xiaochen Li: Query Expansion Based on Crowd Knowledge for Code Search. IEEE Transactions on Services Computing (TSC). 9(5): 771-783, 2016. (ESI高被引论文, 被引171次. CCF-A, 第一作者)

[20] He Jiang, Liming Nie, Zeyi Sun, Zhilei Ren, Weiqiang Kong, Tao Zhang, Xiapu Luo, ROSF: Leveraging Information Retrieval and Supervised Learning for Recommending Code Snippets, in IEEE Transactions on Services Computing (TSC), 12(1): 34-46, 2016.

[21] Xin Chen, He Jiang, Zhenyu Chen, Tieke He, Liming Nie: Automatic test report augmentation to assist crowdsourced testing. Frontiers of Computer Science (FCS), 13(5): 943-959, 2019. (CCF-B)