基本信息
| 姓名：向毅 E-mail： xiangyi@scut.edu.cn 或 gzhuxiang_yi@163.com 所在团队：数据科学与智能软件 个人主页：https://www.scholat.com/xiangyi |
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top期刊), IEEE Transactions on Software Engineering(TSE,软工top期刊), International Conference on Software Engineering (ICSE,软工top会议), Automated Software Engineering (ASE), Empirical Software Engineering(EMSE)和软件学报等；演化计算或数学领域的旗舰期刊，包括IEEE Transactions on Evolutionary Computation(TEVC,演化计算领域), IEEE Transactions on Cybernetics(TCYB,演化计算领域),European Journal of Operational Research(EJOR,运筹学领域)和 Computational Optimization and Applications(数学领域)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。
学历
博士研究生
工作经历
2018.08-2021.08 华南理工大学 软件桃子汉化组移植游戏大全博士后；
2021.08月-至今 华南理工大学 软件桃子汉化组移植游戏大全副教授；
研究方向
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）。欢迎加入我的课题组攻读博士、硕士学位（学术和专业硕士均可），也欢迎优秀本科生加入实验室进行系统性科研训练. 同时，我们课题组长期招聘博士后研究人员. 欢迎志同道合有志之士加入我们团队一起做高水平学术研究.
获奖情况
ACM中国广州分会优秀博士学位论文，ACM中国，2018
中国仿真学会智能仿真优化与调度专业委员会优秀博士学位论文奖，中国仿真学会智能优化与调度专委会，2020
科研项目
国家自然科学基金青年项目（编号：61906069），批准日期：2019年8月，项目负责人；
广东省自然科学基金面上项目（编号：2019A1515011700），批准日期：2019年10月，项目负责人；
广州市科技计划项目（编号：202002030355），批准日期：2020年3月，项目负责人；
中央高校基本科研业务费专项资金资助项目（编号：2019MS088），批准日期：2019年7月，项目负责人；
中国博士后基金二等资助项目（编号：2019M662912），批准日期：2019年11月，项目负责人。
代表作（节。*表示通讯作者）
1.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, 2021, Accepted, 10.1109/TSE.2021.3057853 (CCF-A,软工top期刊) 首次阐明基于相似性的软件产品线自动化测试的基本原理，解决了一个重要的方法论方面的问题
2.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, 2018, 26(4): 14.1-14.46 (CCF-A,软工top期刊) 提出一种求解多目标软件产品线配置问题的有效方法，已成为相关领域最先进方法之一
3.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. International Conference on Software Engineering (ICSE), 2022, Pages 1945–1957, DOI: https://doi.org/10.1145/3510003.3510053 (CCF-A,软工top会议)
4.Yi Xiang, Yuren Zhou*, Miqing Li, Zefeng Chen. A Vector Angle based Evolutionary Algorithm for Unconstrained Many-Objective Optimization. IEEE Transactions on Evolutionary Computation, 2017, 21(1): 131 - 152. (ESI高被引论文)
5.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, 2020, 25(1): 591–626.
6.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, Accepted, 2022
7.向毅, 周育人, 蔡少伟. 集成用户偏好信息的高维多目标最优软件产品选择算法. 软件学报Journal of Software,2020,31(2):282-301 (CCF-A 中文)
8.Yi Xiang, Yuren Zhou*, Xiaowei Yang, Han Huang. A Many-objective Evolutionary Algorithm With Pareto-adaptive Reference Points, IEEE Transactions on Evolutionary Computation, 2020, 24(1): 99 - 113.
9.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, 2020, 24(2): 245-259.
10.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, 2021, accepted, DOI: 10.1109/TCYB.2021.3089633.
11.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,2020, 50(5):2209-2222.
12.Yi Xiang, Yuren Zhou*, Langping Tang, Zefeng Chen. A Decomposition-based Many-objective Artificial Bee Colony Algorithm. IEEE Transactions on Cybernetics, 2019, 49(1): 287-300.
13.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, 2019, 49(6): 2073 – 2084.
14.Yuren Zhou, Yi Xiang*, Xiaoyu He*. Constrained Multi-objective Optimization: Test Problem Construction and Performance Evaluations. IEEE Transactions on Evolutionary Computation, 2020, 2021,25(1): 172 - 186.
15.Yi Xiang,Yuren Zhou,Hailin Liu. An elitism based multi-objective artificial bee colony algorithm. European Journal of Operational Research, 2015, 245(1): 168-193.
16.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. Evolutionary Multi-Criterion Optimization, 2021, 659—671
17.Yi Xiang, Yuren Zhou. A dynamic multi-colony artificial bee colony algorithm for multi-objective optimization. Applied Soft Computing, 2015, 35: 766--785.
18.Yi Xiang,Yuming Peng,Yubin Zhong,Zhenyu Chen,Xuwen Lu,Xuejun Zhong. A particle swarm inspired multi-elitist artificial bee colony algorithm for real-parameter optimization. Computational Optimization and Applications, 2014, 57(2): 493-516.
19.Yi Xiang, Yuren Zhou, Zefeng Chen. A local search based restart evolutionary algorithm for finding triple product property triples, Applied Intelligence, 2018, 2894–2911
20.Yi Xiang, Jing Peng, Yuren Zhou, Miqing Li, Zefeng Chen. An Angle based Constrained Many-objective Evolutionary Algorithm. Applied Intelligence, 2017, 47( 3): 705–720
21.Zhong Yu-Bin, Xiang Yi*, Liu Hai-Lin. A multi-objective artificial bee colony algorithm based on division of the searching space. Applied Intelligence, Springer, 2014, 41(4): 987--1011.
22.Yuren Zhou, Xiaoyu He, Yi Xiang, Shaowei Cai. A Set of New Multi-and Many-objective Test Problems for Continuous Optimization and a Comprehensive Experimental Evaluation. Artificial Intelligence(CCF-A), 2019, 276:105-129
23.Yuren Zhou, Zefeng Chen, Zhengxin Huang and Yi Xiang, A Multiobjective Evolutionary Algorithm Based on Objective-Space Localization Selection, IEEE Transactions on Cybernetics, 2022, 52(5):3888-3901, doi: 10.1109/TCYB.2020.3016426.
