gong yuejiao in scholat-z6尊龙旗舰厅

yue-jiao gong received the b.s. and ph.d. degrees in computer science from sun yat-sen university, china, in 2010 and 2014, respectively. from 2015 to 2016, she was a postdoctoral research fellow with the department of computer and information science, university of macau. currently, she is a full professor with the school of computer science and engineering, south china university of technology, china. her research interests include evolutionary computation, machine intelligence, and their applications to intelligent transportation and smart city scheduling. 

scut-tcl young scholar, 2022

guangdong distinguished young scholars, 2022

didi gaiya young scholar, 2020

ieee senior member, 2019

pearl river young scholar, 2017

scut xinghua scholar, 2017

acm guangzhou excellent doctoral dissertation award, 2015

hpc collaborative innovation center best doctoral dissertation award, 2015

outstanding reviewer for ieee trans. cybern., 2015

google anita borg scholar, 2013

the 1st prize in the competition of the 4th national information science doctoral forum, 2013

my gpa ranked the 1st place among the 178 students in the department of computer science, sysu, during the four-years undergraduate program (2006-2010)

journal papers:

h.-g. huang 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, 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, 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, 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, 2021. []

t. huang, y.-j. gong*, et al., “a probabilistic niching evolutionary computation framework based on binary space partitioning”, ieee transactions on cybernetics, 2021.

j.-x. chen, 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, 2021. 

x. xiao, 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, y.-j. gong*, et al., “on reliable multi-view affinity learning for subspace clustering,” ieee transactions on multimedia, 2021.

t. huang, 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, 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, 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, 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, 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, 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, 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, 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, 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:

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