更新日期：2024年6月12日

姓 名 向毅 性 别 男 出生年月 籍贯 民 族 政治面貌 最后学历 博士研究生 最后学位 工学博士 技术职称 副教授 导师类别 博导 行政职务 Email xiangyi@scut.edu.cn 工作单位 邮政编码 通讯地址 单位电话

个人简介

向毅，男，副教授，博士生导师、博士后合作导师。长期从事智能软件工程、演化计算、机器学习等领域的研究工作，尤其关注软件工程与人工智能的交叉学科方向。目前，以第一/通讯作者发表高水平学术论文20余篇. 标志性成果发表或录用在软件工程领域的旗舰期刊与会议，包括ACM Transactions on Software Engineering and Methodology(TOSEM,软工的top期刊), IEEE Transactions on Software Engineering(TSE,软工的top期刊),  International Conference on Software Engineering (ICSE,软工的top会议), Automated Software Engineering (ASE), Empirical Software Engineering(EMSE)和软件学报等；演化计算领域的旗舰期刊，包括IEEE Transactions on Evolutionary Computation(TEVC), IEEE Transactions on Cybernetics(TCYB),European Journal of Operational Research(EJOR)和 Computational Optimization and Applications等。在人工智能/演化计算与软件工程交叉学科领域的研究成果，得到国内外同行的好评和关注。代表作多次入选ESI高被引论文。目前，主持国家自然科学基金青年项目、广东省自然科学基金面上项目等多项国家级和省部级科研项目。

研究领域

智能化软件工程、演化计算、机器学习。尤其关注人工智能算法在软件工程领域的应用研究（AI for SE）。

科研项目

(1) 国家自然科学基金委员会, 青年科学基金项目, 61906069, 软件产品配置问题的多目标演化算法研究, 2020-01 至 2022-12, 25万元, 已结题, 主持【国家级】
(2) 广东省自然科学基金委员会，青年提升项目, 2024A1515030022, 面向可配置软件系统测试和调试的模型与算法研究,2024-01至2026-12, 30万元, 在研, 主持 【省部级】
(3) 广东省自然科学基金委, 面上项目, 2019A1515011700, 集成偏好和约束的软件产品选择问题模型与算法研究, 2019-09 至 2022-10, 10万元, 已结题, 主持 【省部级】
(4) 广州市科学技术局, 科技计划项目, 202002030355, 软件产品线特征选择问题及其约束多目标进化算法研究, 2020-04至 2022-03, 20万元, 结题, 主持 【省部级】
(5) 中国博士后科学基金会, 面上项目, 2019M662912, 软件产品配置问题及其约束多目标进化算法研究,2019-08 至 2021-07, 8万元, 结题, 主持【省部级】

发表论文

1 [TOSEM 2023] Yi Xiang, Han Huang*, Sizhe Li, Miqing Li, Chuan Luo, Xiaowei Yang*. Automated Test Suite Generation for Software Product Lines Based on Quality-Diversity Optimization, ACM Transactions on Software Engineering and Methodology (TOSEM), 2023,33(2):46.1-46.52 (CCF-A类期刊)
2 [TOSEM 2018] Yi Xiang, Yuren Zhou*, Zibin Zheng*, Miqing Li. Configuring Software Product Lines by Combining Many-objective Optimization and SAT Solvers, ACM Transactions on Software Engineering and Methodology (TOSEM), 2018, 26 (4): 14.1-14.46 (CCF-A类期刊)
3 [TSE 2022] Yi Xiang, Han Huang*, Miqing Li, Sizhe Li, Xiaowei Yang*. Looking For Novelty in Search-based Software Product Line Testing.  IEEE Transactions on Software Engineering (TSE), 2022, 48(7): 2317-2338 (CCF-A类期刊)
4 [ICSE 2022] Yi Xiang, Han Huang*, Yuren Zhou, Sizhe Li, Chuan Luo, Qingwei Lin, Miqing Li, Xiaowei Yang*. Search-based Diverse Sampling from Real-world Software Product Lines. In 44th International Conference on Software Engineering (ICSE'22), 2022: 1945-1957 (CCF-A类会议)
5 [AUSE 2022] Yi Xiang, Xiaowei Yang*, Han Huang, Zhengxin Huang, Miqing Li. Sampling Configurations From Software Product Lines Via Probability-aware Diversification and SAT Solving.  Automated Software Engineering (AUSE), 2022, 29(2): 54.1-54.45 (CCF-B类期刊)
6 [EMSE 2020] Yi Xiang, Xiaowei Yang*, Yuren Zhou, Zibin Zheng, Miqing Li, Han Huang. Going deeper with optimal software products selection using many-objective optimization and satisfiability solvers, Empirical Software Engineering (EMSE), 2020, 25(1): 591–626 (JCR一区、CCF-B类期刊)
7 [软件学报 2023] 向毅, 黄翰*, 罗川, 杨晓伟. 基于多样性SAT求解器和新颖性搜索的软件产品线测试, 软件学报, 2023, 已录用, DOI:10.13328/j.cnki.jos.006906 (CCF-A类中文期刊)
8 [软件学报 2020] 向毅, 周育人*, 蔡少伟. 集成偏好的高维多目标最优软件产品选择算法.软件学报, 2020, 31(2): 282-301 (CCF-A类中文期刊)
9 [TEVC 2020a] Yi Xiang, Xiaowei Yang*, Yuren Zhou, Han Huang. Enhancing Decomposition-Based Algorithms by Estimation of Distribution for Constrained Optimal Software Product Selection. IEEE Transactions on Evolutionary Computation (TEVC), 2020, 24(2): 245-259 (JCR一区期刊)
10 [TEVC 2023*] Haoxiang Qin (博士生), Wenlei Bai, Yi Xiang*, Fangqing Liu, Yuyan Han, Ling Wang, A Self-adaptive Collaborative Differential Evolution Algorithm for Solving Energy Resource Management Problems in Smart Grids, IEEE Transactions on Evolutionary Computation (TEVC), 2023, Accepted, DOI: 10.1109/TEVC.2023.3312769 (JCR一区期刊)
11 [TEVC 2020b] Yi Xiang, Yuren Zhou*, Xiaowei Yang, Han Huang. A Many-objective Evolutionary Algorithm With Pareto-adaptive Reference Points. IEEE Transactions on Evolutionary Computation (TEVC), 2020, 24(1): 99-113 (JCR一区期刊)
12 [TEVC 2021*] Yuren Zhou, Yi Xiang*, Xiaoyu He*. Constrained Multiobjective Optimization: Test Problem Construction and Performance Evaluations. IEEE Transactions on Evolutionary Computation (TEVC), 2021, 25(1): 172-186 (JCR一区期刊)
13 [TEVC 2017] Yi Xiang, Yuren Zhou*, Miqing Li, Zefeng Chen. A Vector Angle based Evolutionary Algorithm for Unconstrained Many-Objective Optimization, IEEE Transactions on Evolutionary Computation (TEVC), 2017, 21(1): 131-152 (JCR一区期刊；ESI高被引论文)
14 [TCYB 2023] Yi Xiang, Xiaowei Yang, Han Huang*, Jiahai Wang. Balancing Constraints and Objectives by Considering Problem Types in Constrained Multi-objective Optimization. IEEE Transactions on Cybernetics (TCYB), 2023, 53(1): 88-101 (JCR一区期刊)
15 [TCYB 2020] Yi Xiang, Yuren Zhou*, Zefeng Chen, Jun Zhang. A Many-objective Particle Swarm Optimizer with Leaders Selected from Historical Solutions by Using Scalar Projections, IEEE Transactions on Cybernetics (TCYB), 2020, 50(5): 2209-2222 (JCR一区期刊)
16 [TCYB 2019] Yi Xiang, Yuren Zhou*, Langping Tang, Zefeng Chen. A Decomposition-Based Many-Objective Artificial Bee Colony Algorithm, IEEE Transactions on Cybernetics (TCYB), 2019, 49 (1): 287 - 300 (JCR一区期刊)
17 [TCYB 2019*] Yuren Zhou, Yi Xiang*, Zefeng Chen, Jun He, Jiahai Wang. A Scalar Projection and Angle based Evolutionary Algorithm for Many-objective Optimization Problems, IEEE Transactions on Cybernetics (TCYB), 2019, 49(6): 2073-2084 (JCR一区期刊)
18 [TEVC 2023] Han Huang（合作者）, Yueting Xu, Yi Xiang, Zhifeng Hao. Correlation-Based Dynamic Allocation Scheme of Fitness Evaluations for Constrained Evolutionary Optimization, IEEE Transactions on Evolutionary Computation, 2023, Accepted, DOI: 10.1109/TEVC.2023.3302897
19 [EMO 2021] Yi Xiang, Xue Peng, Xiaoyun Xia, Xianbing Meng, Sizhe Li, Han Huang, An Investigation of Decomposition-Based Metaheuristics for Resource-Constrained Multi-objective Feature Selection in Software Product Lines. In: Ishibuchi H. et al. (eds) Evolutionary Multi-Criterion Optimization (EMO 2021), 2021, vol 12654.
20 [ICSE 2024] Fangqing Liu, Han Huang, Yi Xiang. Micro-scale Concolic Testing Framework for Automated Test Data Generation Based on Path Coverage. Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion'24), 2024: 284-285