Selected Papers
| [1] | Min Jiang, Changle Zhou, and Shuo Chen. Embodied concept formation and reasoning via neural-symbolic integration. Neurocomputing, 74(1-3):113--120, 2010. [ bib ] |
| [2] | Fei Chao, Zhengshuai Wang, Changjing Shang, Qinggang Meng, Min Jiang, Changle Zhou, and Qiang Shen. A developmental approach to robotic pointing via human--robot interaction. Information sciences, 283:288--303, 2014. [ bib ] |
| [3] | Min Jiang, Yulong Ding, Ben Goertzel, Zhongqiang Huang, Changle Zhou, and Fei Chao. Improving machine vision via incorporating expectation-maximization into deep spatio-temporal learning. In IJCNN, pages 1804--1811, 2014. [ bib ] |
| [4] | Yin Wu, Min Jiang, Zhongqiang Huang, Fei Chao, and Changle Zhou. An np-complete fragment of fibring logic. Annals of Mathematics and Artificial Intelligence, 75(3):391--417, 2015. [ bib ] |
| [5] | Min Jiang, Wenzhen Huang, Zhongqiang Huang, and Gary G Yen. Integration of global and local metrics for domain adaptation learning via dimensionality reduction. IEEE Transactions on Cybernetics, 47(1):38--51, 2017. [ bib ] |
| [6] | Min Jiang, Jacek Mandziuk, Ben Goertzel, and Naoyuki Kubota. Guest editorial special issue on human-like intelligence and robotics. IEEE Systems Journal, 11(3):1269--1271, 2017. [ bib ] |
| [7] | Francis George C Cabarle, Henry N Adorna, Min Jiang, and Xiangxiang Zeng. Spiking neural p systems with scheduled synapses. IEEE Transactions on Nanobioscience, 16(8):792--801, 2017. [ bib ] |
| [8] | M Jiang, Z Huang, L Qiu, Huang W, and G Yen. Transfer learning based dynamic multiobjective optimization algorithms. IEEE Transactions on Evolutionary Computation, (99):1--1, 2017. [ bib ] |
| [9] | Min Jiang, Liming Qiu, Zhongqiang Huang, and Gary G Yen. Dynamic multi-objective estimation of distribution algorithm based on domain adaptation and nonparametric estimation. Information Sciences, 435:203--223, 2018. [ bib ] |
| [10] | Tao Song, Xiangxiang Zeng, Pan Zheng, Min Jiang, and Alfonso Rodríguez-Patón. A parallel workflow pattern modeling using spiking neural p systems with colored spikes. IEEE transactions on nanobioscience, 17(4):474--484, 2018. [ bib ] |
| [11] | Guo Qiu, Rui Song, Shiwei He, Wangtu Xu, and Min Jiang. Clustering passenger trip data for the potential passenger investigation and line design of customized commuter bus. IEEE Transactions on Intelligent Transportation Systems, 20(9):3351--3360, 2018. [ bib ] |
| [12] | Tao Song, Pan Zheng, ML Dennis Wong, Min Jiang, and Xiangxiang Zeng. On the computational power of asynchronous axon membrane systems. IEEE Transactions on Emerging Topics in Computational Intelligence, 4(5):696--704, 2019. [ bib ] |
| [13] | Rethnaraj Rambabu, Prahlad Vadakkepat, Kay Chen Tan, and Min Jiang. A mixture-of-experts prediction framework for evolutionary dynamic multiobjective optimization. IEEE transactions on cybernetics, 50(12):5099--5112, 2019. [ bib ] |
| [14] | Xiangrong Liu, Yanzi Du, Min Jiang, and Xiangxiang Zeng. Multiobjective particle swarm optimization based on network embedding for complex network community detection. IEEE Transactions on Computational Social Systems, 7(2):437--449, 2020. [ bib ] |
| [15] | Min Jiang, Zhenzhong Wang, Liming Qiu, Shihui Guo, Xing Gao, and Kay Chen Tan. A fast dynamic evolutionary multiobjective algorithm via manifold transfer learning. IEEE Transactions on Cybernetics, 2020. [ bib ] |
| [16] | Min JIANG, Zhenzhong WANG, Haokai HONG, and Gary G. YEN. Knee point based imbalanced transfer learning for dynamic multi-objective optimization. IEEE Transactions on Evolutionary Computation, 2020. [ bib ] |
| [17] | Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, and Kay Chen Tan. Multi-label feature selection via global relevance and redundancy optimization. In IJCAI, pages 2512--2518, 2020. [ bib ] |
| [18] | Bosheng Song, Xiangxiang Zeng, Min Jiang, and Mario J Pérez-Jiménez. Monodirectional tissue p systems with promoters. IEEE Transactions on Cybernetics, 51(1):438--450, 2020. [ bib ] |
| [19] | Jia Zhang, Shaozi Li, Min Jiang, and Kay Chen Tan. Learning from weakly labeled data based on manifold regularized sparse model. IEEE Transactions on Cybernetics, pages 1--14, 2020. [ bib ] |
| [20] | Min Jiang, Zhenzhong Wang, Shihui Guo, Xing Gao, and Kay Chen Tan. Individual-based transfer learning for dynamic multiobjective optimization. IEEE Transactions on Cybernetics, 2020. [ bib ] |
| [21] | Kay Chen Tan, Liang Feng, and Min Jiang. Evolutionary transfer optimization - a new frontier in evolutionary computation research. IEEE Computational Intelligence Magazine, 16(1):22--33, 2021. [ bib ] |
| [22] | Huan Zhang, Jinliang Ding, Min Jiang, Kay Chen Tan, and Tianyou Chai. Inverse gaussian process modeling for evolutionary dynamic multiobjective optimization. IEEE Transactions on Cybernetics, 99(Early Access):1--14, 2021. [ bib ] |
| [23] | Zhenzhong Wang, Kai Ye, Min Jiang, Junfeng Yao, Neal N Xiong, and Gary G Yen. Solving hybrid charging strategy electric vehicle based dynamic routing problem via evolutionary multi-objective optimization. Swarm and Evolutionary Computation, page 100975, 2021. [ bib ] |
| [24] | Dejun Xu, Min Jiang, Weizhen Hu, Shaozi Li, Renhu Pan, and Gary G. Yen. An online prediction approach based on incremental support vector machine for dynamic multiobjective optimization. IEEE Transactions on Evolutionary Computation, 2021. [ bib ] |
| [25] | Zhenzhong Wang, Haokai Hong, Kai Ye, Guang-En Zhang, Min Jiang, and Kay Chen Tan. Manifold interpolation for large-scale multiobjective optimization via generative adversarial networks. IEEE Transactions on Neural Networks and Learning Systems, 2021. [ bib ] |
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