所属研究所、院系:
大数据与计算智能研究所

职称:
教授

E-mail:
wangjiah@mail.sysu.edu.cn

办公地点:
503E

个人主页: OL-Lab（微信号）



教师简介:
王甲海，男，博士，教授，博士生导师。IEEE高级会员，CCF杰出会员。
学院工会主席，大数据与计算智能研究所所长。

研究领域:
Artificial Intelligence: Computational Intelligence (Evolutionary Computation, Neural Networks, Deep Learning), Intelligent Data Mining and Machine Learning (Social Network Mining, Natural Language Processing).
致力于智能优化与学习的融通共进，最新研究兴趣包括：智能优化方法，群体智能，深度学习（图神经网络，生成对抗网络，深度强化学习）和知识图谱及其在自然语言处理，城市大数据（智慧出行，智慧物流）和社交网络大数据等领域中的应用。
欢迎联系我攻读硕士和博士（特别是直博和硕博连读）学位，以及申请博士后和特聘研究员职位，从事人工智能和数据挖掘方面的合作研究。
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科研项目:
国家自然科学基金 (**, **, **, **)
国家自然科学基金委员会-广东省人民政府大数据科学研究中心医疗大数据项目(U**)
社交网络挖掘与自然语言处理
群体智能（科技部重大项目/课题）

代表性论著:
Siyuan Chen, Jiahai Wang*, Guoqing Li, Neural relational inference with efficient message passing mechanisms, AAAI 2021.
Zhiyue Liu, Jiahai Wang*, Zhiwei Liang, CatGAN: Category-aware generative adversarial networks with hierarchical evolutionary learning for category text generation,?AAAI 2020.
Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin, Reasoning over semantic-level graph for fact checking, ACL 2020.
Wanjun Zhong, Duyu Tang, Zenan Xu, Ruize Wang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin, Neural deepfake detection with factual structure of text, EMNLP 2020.
Zehua Hu, Jiahai Wang*, Siyuan Chen, Xin Du, A semi-supervised framework with efficient feature extraction and network alignment for user identity linkage, DASFAA 2021.
Siyuan Chen, Jiahai Wang*, Xin Du, Yanqing Hu, A novel framework with information fusion and neighborhood enhancement for user identity linkage, ECAI 2020.
Tao Jiang, Jiahai Wang*, Zhiyue Liu, Yingbiao Ling, Fusion-extraction network for multimodal sentiment analysis, PAKDD 2020.
Zhiyue liu, Jiahai Wang*, Xin Du, Yanghui Rao, Xiaojun Quan, GSMNet: Global semantic memory networks for aspect-level sentiment classification, IEEE Intelligent Systems, 2020.
Qinjuan Yang, Yanghui Rao, Haoran Xie, Jiahai Wang, Fu Lee Wang, and Wai Hong Chan, Segment-level joint topic-sentiment model for online review analysis, IEEE Intelligent Systems, 2019.
Shangce Gao, Mengchu Zhou, Yirui Wang, Jiujun Cheng, Hanaki Yachi, Jiahai Wang, Dendritic neuron model with effective learning algorithms for classification, approximation and prediction, ?IEEE Transactions on Neural Network and Learning Systems, vol.30, no.2, pp.601-614, Feb. 2019.
Yongxin Zhang, Jiahai Wang*, Zizhen Zhang, Yalan Zhou, MODRL/D-EL: Multiobjective deep reinforcement learning with evolutionary learning for multiobjective optimization, IJCNN 2021.
Jiahai Wang, Yanyue Li, Qingfu Zhang, Zizhen Zhang, Shangce Gao, Cooperative multiobjective evolutionary algorithm with propulsive population for constrained multiobjective optimization, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021.
Qidong Lai, Zizhen Zhang, Mingzhu Yu, Jiahai Wang, Split-delivery capacitated arc-routing problem with time windows, IEEE Transactions on Intelligent Transportation Systems, 2020.
Jiahai Wang, Yuyan Sun, Zizhen Zhang, Shangce Gao, Solving multitrip pickup and delivery problem with time windows and manpower planning using multiobjective algorithms, IEEE/CAA Journal of Automatica Sinica, 2020.
Xin Jin, Hu Qin, Zizhen Zhang, Mengchu Zhou, Jiahai Wang, Planning of garbage collection service: an arc-routing problem with time-dependent penalty cost, IEEE Transactions on Intelligent Transportation Systems, 2020.
Xueming Yan, Han Huang, Zhifeng Hao, Jiahai Wang, A graph-based fuzzy evolutionary algorithm for solving two-echelon vehicle routing problems, IEEE Transactions on Evolutionary Computation, 2019.
Zizhen Zhang, Mengchu Zhou, Jiahai Wang, Orthogonal construction heuristic approach to airline crew rostering problems,??IEEE Transactions on Automation Science and Engineering, 2019.
Shangce Gao, Yang Yu, Yirui Wang, Jiahai Wang, Jiujun Cheng, and MengChu Zhou, Chaotic local search-based differential evolution algorithms for optimization,?IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019.
Jiahai Wang et al., Multiobjective multiple neighborhood search algorithms for multiobjective fleet size and mix location-routing problem with time windows, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019.
Zizhen Zhang, Luyao Teng, MengChu Zhou, Jiahai Wang, Hua Wang, Enhanced branch-and-bound framework for a class of sequencing problems,?IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019.
Jiahai Wang, Guanxi Liang, Jun Zhang, Cooperative differential evolution framework for constrained multiobjective optimization, IEEE Transactions on Cybernetics, 2018.
Jiahai Wang, Taiyao Weng, Qingfu Zhang, A two-stage multiobjective evolutionary algorithm for multiobjective multi-depot vehicle routing problem with time windows, IEEE Transactions on Cybernetics, 2018.
Jiahai Wang, Binzhong Chen, Shangce Gao, Zizhen Zhang, Yuren Zhou, Cooperative evolutionary framework with focused search for many-objective optimization,?IEEE Transactions on Emerging Topics in Computational Intelligence, 2018.
Y. Zhou, M. Zhu, Jiahai Wang*, Z. Zhang, Y. Xiang, J. Zhang, Tri-goal evolution framework for constrained many-objective optimization,?IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018.
Jiahai Wang, W. Ren, Z. Zhang, H. Huang, Y. Zhou, A hybrid multiobjective memetic algorithm for multiobjective periodic vehicle routing problem with time windows,?IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018.
Zizhen Zhang, Ming Liu, Chung-Yee Lee, Jiahai Wang, The quay crane scheduling problem with stability constraints, IEEE Transactions on Automation Science and Engineering, 2018.
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, 2018.
Jian Sun, Shangce Gao, Hongwei Dai, Jiujun Cheng, MengChu Zhou, Jiahai Wang, Bi-objective elite differential evolution algorithm for multi-valued logic networks,?IEEE Transactions on Cybernetics, 2018.
Jiahai Wang, Weiwei Zhang, Jun Zhang, Cooperative differential evolution with multiple populations for multiobjective optimization, IEEE Transactions on Cybernetics, vol.46, no.12, pp.2848-2861, 2016.
Jiahai Wang, Ying Zhou, Yong Wang, Jun Zhang, C.L. Philip Chen, and Zibin Zheng, Multiobjective vehicle routing problems with simultaneous delivery and pickup and time windows: formulation, instances and algorithms, IEEE Transactions on Cybernetics, vol.46, no.3, pp.582-594, 2016.
Jiahai Wang, Jianjun Liao, Ying Zhou, Yiqiao Cai, Differential evolution enhanced with multiobjective sorting based mutation operators, IEEE Transactions on Cybernetics, vol.44, no.12, pp.2792-2805, 2014.
Ying Zhou, Jiahai Wang*, A local search-based multiobjective optimization algorithm for multiobjective vehicle routing problem with time windows, IEEE Systems Journal, vol.9, no.3, pp.1100-1113, 2015.
Yalan Zhou, Jiahai Wang*, Yuren Zhou, Zhanyan Qiu, Zhisheng Bi, Yiqiao Cai, Differential evolution with guiding archive for global numerical optimization,?Applied Soft Computing, vol.43, pp.424-440, 2016.
Jiahai Wang, Yiqiao Cai, Multiobjective evolutionary algorithm for frequency assignment problem in satellite communications, Soft Computing, vol.19, no.5, pp.1229-1253, 2015.
Yiqiao Cai, Jiahai Wang, Differential evolution with hybrid linkage crossover, Information Sciences, vol.320, pp.244-287, 2015.
Yiqiao Cai, Jiahai Wang*, Differential evolution with neighborhood and direction information for numerical optimization, IEEE Trans. Cybernetics, vol.43, no.6, pp.2202-2215, 2013.
Jiahai Wang, Y. Zhou, et. al. Learnable tabu search guided by estimation of distribution for maximum diversity problems, Soft Computing, vol.16, no.4, pp.711-728, 2012.
Jiahai Wang, Yiqiao Cai et al., Discrete particle swarm optimization based on estimation of distribution for terminal assignment problems, Computers & Industrial Engineering, vol.60, no.4, pp.566-575, May 2011.
Jiahai Wang, Y. Zhou, J. Yin, Y. Zhang, Competitive Hopfield network combined with estimation of distribution for maximum diversity problems, IEEE Trans. Systems, Man, and Cybernetics-Part B: Cybernetics, vol.39, no.4, pp.1048-1066, Aug. 2009.
Jiahai Wang, Hopfield neural network based on estimation of distribution for two-page crossing number problem, IEEE Trans. on Circuits and Systems II: Express Briefs, vol.55, no.8, pp.797-801,2008.
参考文献：
Y. LeCun, Y. Bengio, G. Hinton, Deep learning, Nature, vol.521, pp.436–444, 2015.
A. E. Eiben, J. Smith, From evolutionary computation to the evolution of things, Nature, vol.521, pp.476–482, 2015.
M. M. Waldrop, What are the limits of deep learning? PNAS, vol.116, no.4, pp.1074-1077, 2019.
R. Miikkulainen,S. Forrest, A biological perspective on evolutionary computation, Nature Machine Intelligence, vol.3, pp.9-15, 2021.
W. Kool et al., Attention, learn to?solve routing problems!, ICLR 2019.
H. Ramsauer et al., Hopfield networks is all you need, ICLR 2021.