龚月姣，华南理工大学计算机科学与工程学院-尊龙凯时官方app下载

龚月姣 gong yuejiao

教授

www.scholat.com/yjgong

简介 about

动态 news

学术 academic

教育背景：

2010 – 2014 中山大学，信息科学与技术学院，计算机科学系博士

2006 – 2010 中山大学，信息科学与技术学院，计算机科学系学士

工作经历：

2019 – 今华南理工大学，计算机科学与工程学院教授

2017 – 2018 华南理工大学，计算机科学与工程学院副教授 (“兴华学者人才计划”引进)

2015 – 2016 澳门大学，科技学院计算机系博士后研究员

2014 香港科技大学，霍英东研究院研究助理

研究兴趣：

计算智能方法：演化计算、群体智能、机器学习等

智慧城市应用：智能交通、运筹调度、图像处理等

奖项荣誉：

2022 华南理工大学tcl青年学者

2022 广东省杰出青年科学基金获得者

2020 滴滴盖亚青年学者

2019 ieee senior member

2017 广东省青年珠江学者

2017 华南理工大学兴华学者

2015 acm广州优秀博士学位论文奖

2015 高性能计算协同创新中心优秀博士学位论文奖

2013 谷歌anita borg计算机女性科学家奖

2010 本科综合测评排名专业1/178

代表性论著：

journal papers:

h.-g. huang (指导的学生) and y.-j. gong*, “contrastive learning: an alternative surrogate for offline data-driven evolutionary computation,” ieee transactions on evolutionary computation, 2022. []

y.-j. gong, et al., “automated team assembly in mobile games: a data-driven evolutionary approach using a deep learning surrogate,”ieee transactions on games, 2022.

x.-x. shao (指导的学生), y.-j. gong*, et al., “bipartite cooperative coevolution for energy-aware coverage path planning of uavs,” ieee transactions on artificial intelligence, vol. 3, no. 1, pp. 29-42, 2022.

t. huang (指导的学生), y.-j. gong*, et al., “a niching memetic algorithm for multi-solution traveling salesman problem,” ieee transactions on evolutionary computation, vol. 24, no. 3, pp. 508-522, 2020. [

y.-h. zhang (指导的学生), y.-j. gong*, et al., “parameter-free voronoi neighborhood for evolutionary multimodal optimization,”ieee transactions on evolutionary computation, vol. 24, no. 2, pp. 335-349, 2020. []

t. huang (指导的学生), y.-j. gong*, et al., “a probabilistic niching evolutionary computation framework based on binary space partitioning”, ieee transactions on cybernetics, 2020.

j.-x. chen (指导的学生), y.-j. gong*, et al., “elastic differential evolution for automatic data clustering”, ieee transactions on cybernetics, 2020. []

y.-j. gong, et al., “real-time taxi-passenger matching using a differential evolutionary fuzzy controller,”, ieee transactions on systems, man and cybernetics: systems, 2020.

x. xiao (指导的学生), y. chen, y.-j. gong*, et al., “low-rank preserving t-linear projection for robust image feature extraction,” ieee transactions on image processing, vol. 30, pp. 108-120, 2021.

x. xiao (指导的学生), y.-j. gong*, et al., “on reliable multi-view affinity learning for subspace clustering,” ieee transactions on multimedia, 2020.

t. huang (指导的学生), y.-j. gong*, et al., “automatic planning of multiple itineraries: a niching genetic evolution approach,”ieee transactions on intelligent transportation systems, vol. 21, no. 10, pp. 4225-4240, 2020.

t. wei, w.-l. liu, j. zhong, and y.-j. gong, “multiclass classification on high dimension and low sample size data using genetic programming,” ieee transactions on emerging topics in computing, 2021.

z.-g. chen, y. lin, y.-j. gong, et al., “maximizing lifetime of range-adjustable wireless sensor networks: a neighborhood based estimation of distribution algorithm,” ieee transactions on cybernetics, 2020.

x. xiao, y. chen, y.-j. gong, et al., “prior knowledge regularized multi-view self-representation and its applications,” ieee transactions on neural networks and learning systems, 2020.

a. song, w.-n. chen, y.-j. gong, et al., “a divide-and-conquer evolutionary algorithm for large-scale virtual network embedding,” ieee transactions on evolutionary computation, vol. 24, no. 3, pp.566-580, 2020.

x. xiao, y. chen, y.-j. gong, et al., “two-dimensional quaternion sparse discriminant analysis,” ieee transactions on image processing, vol. 29, no. 1, pp. 2271-2286, 2020.

x.-y. zhang (指导的学生), y.-j. gong*, et al., “dynamic cooperative coevolution for large scale optimization,” ieee transactions on evolutionary computation, vol. 23, no. 6, pp.935-948, 2019. []

y.-h. zhang (指导的学生), y.-j. gong*, et al, “decal: a decomposition-based coevolutionary algorithm for many-objective optimization”, ieee transactions on cybernetics, vol. 49, no. 1, pp. 27-41, 2019.

x.-l. xiao (指导的学生), y. zhou, and y.-j. gong*, “rgb-‘d’ saliency detection with pseudo depth,” ieee transactions on image processing, vol. 28, no. 5, pp. 2126-2139, 2019. []

y.-n. ma (指导的学生), y.-j. gong*, et al., “path planning for autonomous underwater vehicles: an ant colony algorithm incorporating alarm pheromone,” ieee transactions on vehicular technology, vol. 68, no. 1, pp. 141-154, 2019.

y.-h. zhang (指导的学生), y.-j. gong*, et al, “a dual-colony ant algorithm for the receiving and shipping door assignments in cross-docks”, ieee transactions on intelligent transportation systems, vol. 20, no. 7, pp. 2523-2539, 2019.

y. lin, y.-s. jiang, y.-j. gong, et al., “a discrete multiobjective particle swarm optimizer for automated assembly of parallel cognitive diagnosis tests,” ieee transactions on cybernetics, vol. 49, no. 7, pp. 2792-2805, 2019.

y. wang, z. cai, z.-h. zhan, y.-j. gong, et al., “an optimization and auction-based incentive mechanism to maximize social welfare for mobile crowdsourcing,” ieee transactions on computational social systems, vol, 6, no. 3, pp. 414 – 429, 2019.

y.-j. gong, et al., “learning multimodal parameters: a bare-bones niching differential evolution approach,” ieee transactions on neural network and learning systems, vol. 29, no. 7, pp. 2944-2959, 2018.

x.-l. xiao (指导的学生), y. zhou, and y.-j. gong*, “content adaptive superpixel segmentation,” ieee transactions on image processing, vol. 27, no. 6, pp. 2883 – 2896, 2018.

y.-j. gong, et al., “differential evolutionary superpixel segmentation,” ieee transactions on image processing, vol. 27, no. 3, pp. 1390-1404, 2018.

y.-j. gong, et al, “antmapper: an ant colony-based map matching approach for trajectory-based applications,” ieee transactions on intelligent transportation systems, vol. 19, no. 2, pp. 390-401, 2018.

y.-f. ge, w.-j. yu, y. lin, y.-j. gong, et al., “distributed differential evolution based on adaptive mergence and split for large-scale optimization,” ieee transactions on cybernetics, vol. 48, no. 7, pp. 2166-2180, 2018.

y.-h. zhang (指导的学生), y.-j. gong*, et al, “towards fast niching evolutionary algorithms: a locality sensitive hashing-based approach,” ieee transactions on evolutionary computation, vol. 21, no. 3, pp. 347-362, 2017. []

y.-j. gong, et al., "genetic learning particle swarm optimization," ieee transactions on cybernetics, vol. 46, no. 10, pp. 2277-2290, 2016. []

x.-y. zhang (指导的学生), j. zhang, y.-j. gong, et al., “kuhn-munkres parallel genetic algorithm for the set cover problem and its application to large-scale wireless sensor networks,” ieee transactions on evolutionary computation, vol. 20, no. 5, pp. 695-710, 2016.

x. li, m. li, y.-j. gong, et al., ”t-desp: destination prediction based on big trajectory data,” ieee transactions on intelligent transportation systems, vol. 17, no. 8, pp. 2344 - 2354, 2016.

h. luo, k. wu, y.-j. gong, et al., “localization for drifting restricted floating ocean sensor networks,” ieee transactions on vehicular technology, vol. 65, no. 12, pp. 9968 - 9981, 2016.

y.-l. li, z.-h. zhan, y.-j. gong, et al., “fast micro-differential evolution for topological active net optimization,” ieee transactions on cybernetics, vol. 46, no. 6, pp. 1411 - 1423, 2015.

y.-l. li, z.-h. zhan, y.-j. gong, et al., “differential evolution with an evolution path: a deep evolutionary algorithm,” ieee transactions on cybernetics, vol. 45, no. 9, pp.1798-1810, 2015.

n. chen, w.-n. chen, y.-j. gong, et al., “an evolutionary algorithm with double-level archives for multi-objective optimization,” ieee transactions on cybernetics, vol. 45, no. 9, pp.1851-1863, 2015.

y.-j. gong, et al., “an efficient resource allocation scheme using particle swarm optimization,” ieee transactions on evolutionary computation, vol. 16, no. 6, pp. 801-816, 2012.

y.-j. gong, et al., “optimizing rfid network planning by using a particle swarm optimization algorithm with redundant reader elimination,” ieee transactions on industrial informatics, vol. 8, no. 4, pp. 900-912, 2012.

y.-j. gong, et al., “optimizing the vehicle routing problem with time windows: a discrete particle swarm optimization approach,” ieee transactions on systems, man, and cybernetics--part c: applications and reviews, vol. 42, no. 2, pp. 254-267, 2012.

conference papers:

tba

指导学生：

毕业学生：

肖晓琳（2022博后出站，华南师范大学副教授）

黄婷（2021博，合作指导，西安电子科技大学副教授）

刘伟莉（2020博，合作指导，广州技术师范大学副教授）

赵森华（2022硕，腾讯）

林大略（2022硕，腾讯）

左园林（2022硕，华为）

邵仙鑫（2022硕，shopee）

陈子航（2022硕，华为）