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Min Jiang 0005
Person information
- affiliation: Xiamen University, Department of Cognitive Science and Technology, China
- affiliation: Xiamen University, Fujian Key Laboratory of Brain-like Computing and Application, China
Other persons with the same name
- Min Jiang — disambiguation page
- Min Jiang 0001 — Bournemouth University, Poole, UK
- Min Jiang 0002 — Chinese Academy of Sciences, Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Beijing, China (and 1 more)
- Min Jiang 0003 — West Virginia University, Lane Department of Computer Science and Electrical Engineering, Morgantown, WV, USA
- Min Jiang 0004 — Shanghai University of Engineering Science, Department of Electronic and Electrical Engineering, China
- Min Jiang 0006 — University of Electronic Science and Technology of China, School of Mathematical Sciences, Chengdu, Sichuan, China
- Min Jiang 0007 — University of Texas Health Science Center, School of Biomedical Informatics, Huston, TX, USA (and 1 more)
- Min Jiang 0008 — Jiangnan University, Wuxi, China
- Min Jiang 0009 — Soochow University, School of Electronics & Information Engineering, Suzhou, China
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2020 – today
- 2024
- [j46]Haokai Hong, Min Jiang, Gary G. Yen:
Boosting scalability for large-scale multiobjective optimization via transfer weights. Inf. Sci. 670: 120607 (2024) - [j45]Zefeng Wang, Junfeng Yao, Meiyan Xu, Min Jiang, Jinsong Su:
Transformer-based network with temporal depthwise convolutions for sEMG recognition. Pattern Recognit. 145: 109967 (2024) - [j44]Haokai Hong, Min Jiang, Gary G. Yen:
Improving Performance Insensitivity of Large-Scale Multiobjective Optimization via Monte Carlo Tree Search. IEEE Trans. Cybern. 54(3): 1816-1827 (2024) - [j43]Guoyu Chen, Yinan Guo, Min Jiang, Shengxiang Yang, Xiaoxiao Zhao, Dunwei Gong:
A Subspace-Knowledge Transfer Based Dynamic Constrained Multiobjective Evolutionary Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1500-1512 (2024) - [j42]Haokai Hong, Min Jiang, Qiuzhen Lin, Kay Chen Tan:
Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 4197-4209 (2024) - [j41]Taisong Jin, Xixi Yang, Zhengtao Yu, Han Luo, Yongmei Zhang, Feiran Jie, Xiangxiang Zeng, Min Jiang:
WalkGAN: Network Representation Learning With Sequence-Based Generative Adversarial Networks. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5684-5694 (2024) - [j40]Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Jinyi Long, Jian Weng, Kay Chen Tan:
Fast Multilabel Feature Selection via Global Relevance and Redundancy Optimization. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5721-5734 (2024) - [j39]Qiuzhen Lin, Yulong Ye, Lijia Ma, Min Jiang, Kay Chen Tan:
Dynamic Multiobjective Evolutionary Optimization via Knowledge Transfer and Maintenance. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 936-949 (2024) - [c41]Lulu Cao, Yufei Liu, Zhenzhong Wang, Dejun Xu, Kai Ye, Kay Chen Tan, Min Jiang:
An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations. AAAI 2024: 20640-20648 - [c40]Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan:
Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks. AAAI 2024: 21690-21698 - [c39]Lulu Cao, Haokai Hong, Min Jiang:
Fast Solving Partial Differential Equations via Imitative Fourier Neural Operator. IJCNN 2024: 1-8 - [c38]Yunpeng Gong, Yongjie Hou, Chuangliang Zhang, Min Jiang:
Beyond Augmentation: Empowering Model Robustness under Extreme Capture Environments. IJCNN 2024: 1-8 - [c37]Yunpeng Gong, Chuangliang Zhang, Yongjie Hou, Lifei Chen, Min Jiang:
Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking. IJCNN 2024: 1-8 - [c36]Qingyuan Zeng, Yunpeng Gong, Min Jiang:
Cross-Task Attack: A Self-Supervision Generative Framework Based on Attention Shift. IJCNN 2024: 1-8 - [i24]Yunpeng Gong, Zhun Zhong, Zhiming Luo, Yansong Qu, Rongrong Ji, Min Jiang:
Cross-Modality Perturbation Synergy Attack for Person Re-identification. CoRR abs/2401.10090 (2024) - [i23]Yunpeng Gong, Jiaquan Li, Lifei Chen, Min Jiang:
Exploring Color Invariance through Image-Level Ensemble Learning. CoRR abs/2401.10512 (2024) - [i22]Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan:
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data. CoRR abs/2404.12569 (2024) - [i21]Yunpeng Gong, Yongjie Hou, Chuangliang Zhang, Min Jiang:
Beyond Augmentation: Empowering Model Robustness under Extreme Capture Environments. CoRR abs/2407.13640 (2024) - [i20]Yunpeng Gong, Chuangliang Zhang, Yongjie Hou, Lifei Chen, Min Jiang:
Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking. CoRR abs/2407.13646 (2024) - [i19]Qingyuan Zeng, Yunpeng Gong, Min Jiang:
Cross-Task Attack: A Self-Supervision Generative Framework Based on Attention Shift. CoRR abs/2407.13700 (2024) - [i18]Qingyuan Zeng, Zhenzhong Wang, Yiu-ming Cheung, Min Jiang:
Ask, Attend, Attack: A Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models. CoRR abs/2408.08989 (2024) - [i17]Yunpeng Gong, Yongjie Hou, Zhenzhong Wang, Zexin Lin, Min Jiang:
Adversarial Learning for Neural PDE Solvers with Sparse Data. CoRR abs/2409.02431 (2024) - [i16]Jiajing Lin, Zhenzhong Wang, Yongjie Hou, Yuzhou Tang, Min Jiang:
Phy124: Fast Physics-Driven 4D Content Generation from a Single Image. CoRR abs/2409.07179 (2024) - [i15]Dejun Xu, Kai Ye, Zimo Zheng, Tao Zhou, Gary G. Yen, Min Jiang:
An Efficient Dynamic Resource Allocation Framework for Evolutionary Bilevel Optimization. CoRR abs/2410.24081 (2024) - 2023
- [j38]Jia Zhang, Hanrui Wu, Min Jiang, Jinghua Liu, Shaozi Li, Yong Tang, Jinyi Long:
Group-preserving label-specific feature selection for multi-label learning. Expert Syst. Appl. 213(Part): 118861 (2023) - [j37]Zehua Chai, Yongguo Ling, Zhiming Luo, Dazhen Lin, Min Jiang, Shaozi Li:
Dual-Stream Transformer With Distribution Alignment for Visible-Infrared Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6764-6776 (2023) - [j36]Lingjie Li, Manlin Xuan, Qiuzhen Lin, Min Jiang, Zhong Ming, Kay Chen Tan:
An Evolutionary Multitasking Algorithm With Multiple Filtering for High-Dimensional Feature Selection. IEEE Trans. Evol. Comput. 27(4): 802-816 (2023) - [j35]Yinan Guo, Guoyu Chen, Min Jiang, Dunwei Gong, Jing Liang:
A Knowledge Guided Transfer Strategy for Evolutionary Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(6): 1750-1764 (2023) - [j34]Zhenzhong Wang, Haokai Hong, Kai Ye, Guang-En Zhang, Min Jiang, Kay Chen Tan:
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4631-4645 (2023) - [j33]Guodong Du, Jia Zhang, Min Jiang, Jinyi Long, Yaojin Lin, Shaozi Li, Kay Chen Tan:
Graph-Based Class-Imbalance Learning With Label Enhancement. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6081-6095 (2023) - [c35]Zhenzhong Wang, Lulu Cao, Wanyu Lin, Min Jiang, Kay Chen Tan:
Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs. AAAI 2023: 15224-15232 - [c34]Lulu Cao, Zimo Zheng, Chenwen Ding, Jinkai Cai, Min Jiang:
Genetic Programming Symbolic Regression with Simplification-Pruning Operator for Solving Differential Equations. ICONIP (8) 2023: 287-298 - [i14]Haokai Hong, Min Jiang, Jonathan M. Garibaldi, Qiuzhen Lin, Kay Chen Tan:
A Recommender System Approach for Very Large-scale Multiobjective Optimization. CoRR abs/2304.04067 (2023) - [i13]Haokai Hong, Min Jiang, Gary G. Yen:
Improving Performance Insensitivity of Large-scale Multiobjective Optimization via Monte Carlo Tree Search. CoRR abs/2304.04071 (2023) - [i12]Haokai Hong, Min Jiang:
Pre-Evolved Model for Complex Multi-objective Optimization Problems. CoRR abs/2312.06125 (2023) - 2022
- [j32]Zhan WangPing, Min Jiang, Junfeng Yao, KunHong Liu, Qingqiang Wu:
The design of evolutionary feature selection operator for the micro-expression recognition. Memetic Comput. 14(1): 61-76 (2022) - [j31]Haokai Hong, Kai Ye, Min Jiang, Donglin Cao, Kay Chen Tan:
Solving large-scale multiobjective optimization via the probabilistic prediction model. Memetic Comput. 14(2): 165-177 (2022) - [j30]Zhenzhong Wang, Kai Ye, Min Jiang, Junfeng Yao, Neal N. Xiong, Gary G. Yen:
Solving hybrid charging strategy electric vehicle based dynamic routing problem via evolutionary multi-objective optimization. Swarm Evol. Comput. 68: 100975 (2022) - [j29]Jia Zhang, Shaozi Li, Min Jiang, Kay Chen Tan:
Learning From Weakly Labeled Data Based on Manifold Regularized Sparse Model. IEEE Trans. Cybern. 52(5): 3841-3854 (2022) - [j28]Huan Zhang, Jinliang Ding, Min Jiang, Kay Chen Tan, Tianyou Chai:
Inverse Gaussian Process Modeling for Evolutionary Dynamic Multiobjective Optimization. IEEE Trans. Cybern. 52(10): 11240-11253 (2022) - [j27]Dejun Xu, Min Jiang, Weizhen Hu, Shaozi Li, Renhu Pan, Gary G. Yen:
An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 26(4): 690-703 (2022) - [j26]Wei Zhou, Liang Feng, Kay Chen Tan, Min Jiang, Yong Liu:
Evolutionary Search With Multiview Prediction for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 26(5): 911-925 (2022) - [j25]Jianqiang Li, Tao Sun, Qiuzhen Lin, Min Jiang, Kay Chen Tan:
Reducing Negative Transfer Learning via Clustering for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 26(5): 1102-1116 (2022) - [c33]Haokai Hong, Min Jiang, Liang Feng, Qiuzhen Lin, Kay Chen Tan:
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism. CEC 2022: 1-8 - [c32]Songbai Liu, Min Jiang, Qiuzhen Lin, Kay Chen Tan:
Evolutionary Large-Scale Multiobjective Optimization via Self-guided Problem Transformation. CEC 2022: 1-8 - [e3]Yongxuan Lai, Tian Wang, Min Jiang, Guangquan Xu, Wei Liang, Aniello Castiglione:
Algorithms and Architectures for Parallel Processing - 21st International Conference, ICA3PP 2021, Virtual Event, December 3-5, 2021, Proceedings, Part I. Lecture Notes in Computer Science 13155, Springer 2022, ISBN 978-3-030-95383-6 [contents] - [e2]Yongxuan Lai, Tian Wang, Min Jiang, Guangquan Xu, Wei Liang, Aniello Castiglione:
Algorithms and Architectures for Parallel Processing - 21st International Conference, ICA3PP 2021, Virtual Event, December 3-5, 2021, Proceedings, Part II. Lecture Notes in Computer Science 13156, Springer 2022, ISBN 978-3-030-95387-4 [contents] - [e1]Yongxuan Lai, Tian Wang, Min Jiang, Guangquan Xu, Wei Liang, Aniello Castiglione:
Algorithms and Architectures for Parallel Processing - 21st International Conference, ICA3PP 2021, Virtual Event, December 3-5, 2021, Proceedings, Part III. Lecture Notes in Computer Science 13157, Springer 2022, ISBN 978-3-030-95390-4 [contents] - [i11]Haokai Hong, Min Jiang, Liang Feng, Qiuzhen Lin, Kay Chen Tan:
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism. CoRR abs/2205.10052 (2022) - [i10]Lingjie Li, Manlin Xuan, Qiuzhen Lin, Min Jiang, Zhong Ming, Kay Chen Tan:
An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature Selection. CoRR abs/2212.08854 (2022) - 2021
- [j24]Kay Chen Tan, Liang Feng, Min Jiang:
Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research. IEEE Comput. Intell. Mag. 16(1): 22-33 (2021) - [j23]Bosheng Song, Xiangxiang Zeng, Min Jiang, Mario J. Pérez-Jiménez:
Monodirectional Tissue P Systems With Promoters. IEEE Trans. Cybern. 51(1): 438-450 (2021) - [j22]Min Jiang, Zhenzhong Wang, Liming Qiu, Shihui Guo, Xing Gao, Kay Chen Tan:
A Fast Dynamic Evolutionary Multiobjective Algorithm via Manifold Transfer Learning. IEEE Trans. Cybern. 51(7): 3417-3428 (2021) - [j21]Min Jiang, Zhenzhong Wang, Shihui Guo, Xing Gao, Kay Chen Tan:
Individual-Based Transfer Learning for Dynamic Multiobjective Optimization. IEEE Trans. Cybern. 51(10): 4968-4981 (2021) - [j20]Min Jiang, Zhenzhong Wang, Haokai Hong, Gary G. Yen:
Knee Point-Based Imbalanced Transfer Learning for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 25(1): 117-129 (2021) - [c31]Haokai Hong, Kai Ye, Min Jiang, Kay Chen Tan:
Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model. EMO 2021: 605-616 - [c30]Wei Ding, Haokai Hong, Dejun Xu, Min Jiang:
Online Multiple Object Tracking Algorithm Based on Heat Map Propagation. ICA3PP (1) 2021: 129-143 - [c29]Jiaxin Ye, Dejun Xu, Haokai Hong, Yongxuan Lai, Min Jiang:
AHOA: Adaptively Hybrid Optimization Algorithm for Flexible Job-shop Scheduling Problem. ICA3PP (1) 2021: 271-287 - [i9]Zhenzhong Wang, Haokai Hong, Kai Ye, Min Jiang, Kay Chen Tan:
Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks. CoRR abs/2101.02932 (2021) - [i8]Dejun Xu, Min Jiang, Weizhen Hu, Shaozi Li, Renhu Pan, Gary G. Yen:
An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization. CoRR abs/2102.12133 (2021) - [i7]Haokai Hong, Kai Ye, Min Jiang, Donglin Cao, Kay Chen Tan:
Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model. CoRR abs/2108.04197 (2021) - 2020
- [j19]Chunfeng Wang, Gary G. Yen, Min Jiang:
A grey prediction-based evolutionary algorithm for dynamic multiobjective optimization. Swarm Evol. Comput. 56: 100695 (2020) - [j18]Xiangrong Liu, Yanzi Du, Min Jiang, Xiangxiang Zeng:
Multiobjective Particle Swarm Optimization Based on Network Embedding for Complex Network Community Detection. IEEE Trans. Comput. Soc. Syst. 7(2): 437-449 (2020) - [j17]Rethnaraj Rambabu, Prahlad Vadakkepat, Kay Chen Tan, Min Jiang:
A Mixture-of-Experts Prediction Framework for Evolutionary Dynamic Multiobjective Optimization. IEEE Trans. Cybern. 50(12): 5099-5112 (2020) - [j16]Tao Song, Pan Zheng, M. L. Dennis Wong, Min Jiang, Xiangxiang Zeng:
On the Computational Power of Asynchronous Axon Membrane Systems. IEEE Trans. Emerg. Top. Comput. Intell. 4(5): 696-704 (2020) - [c28]Zhenzhong Wang, Zhongrui Mei, Min Jiang, Gary G. Yen:
Knee Points based Transfer Dynamic Multi-objective optimization Evolutionary Algorithm. CEC 2020: 1-7 - [c27]Zhenyao Zhao, Min Jiang, Shihui Guo, Zhenzhong Wang, Fei Chao, Kay Chen Tan:
Improving Deep Learning based Optical Character Recognition via Neural Architecture Search. CEC 2020: 1-7 - [c26]Chang Liu, Minghui Shi, Min Jiang, Meihong Wu, Tingting Chen, Jianting Liu, Enze Wang, Yuan Shi, Zilong Li:
Approach to recognizing SSVEP by combining CCA with artificial neural network. ICIAI 2020: 15-19 - [c25]Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Kay Chen Tan:
Multi-label Feature Selection via Global Relevance and Redundancy Optimization. IJCAI 2020: 2512-2518 - [i6]Min Jiang, Guokun Chi, Geqiang Pan, Shihui Guo, Kay Chen Tan:
Evolutionary Gait Transfer of Multi-Legged Robots in Complex Terrains. CoRR abs/2012.13320 (2020)
2010 – 2019
- 2019
- [j15]Dazhen Lin, Ben Ma, Min Jiang, Naixue Xiong, Kai Lin, Donglin Cao:
Social Network Rumor Diffusion Predication Based on Equal Responsibility Game Model. IEEE Access 7: 4478-4486 (2019) - [j14]Shihui Guo, Jubo Yu, Xinyu Shi, Hongran Wang, Feibin Xie, Xing Gao, Min Jiang:
Droplet-Transmitted Infection Risk Ranking Based on Close Proximity Interaction. Frontiers Neurorobotics 13: 113 (2019) - [j13]Guo Qiu, Rui Song, Shiwei He, Wangtu Ato Xu, Min Jiang:
Clustering Passenger Trip Data for the Potential Passenger Investigation and Line Design of Customized Commuter Bus. IEEE Trans. Intell. Transp. Syst. 20(9): 3351-3360 (2019) - [c24]Weizhen Hu, Min Jiang, Xing Gao, Kay Chen Tan, Yiu-ming Cheung:
Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine. CEC 2019: 2794-2799 - [c23]Sandra Ebele Nwachukwu, Minghui Shi, Chang Liu, Xiangqian Liu, Changle Zhou, Fei Chao, Min Jiang, Penglin Kang, Zilong Li:
An SSVEP Recognition Method by Combining Individual Template with CCA. ICIAI 2019: 6-10 - [c22]Minghui Shi, Jianting Liu, Jingkang Lin, Zilong Li, Chang Liu, Tingting Chen, Min Jiang, Fei Chao, Meihong Wu, Enze Wang, Yuan Shi, Tongrui Li:
A Method for SSVEP Recognition Based on Weighted Canonical Correlation Analysis. SSCI 2019: 399-403 - [c21]Guokun Chi, Min Jiang, Xing Gao, Weizhen Hu, Shihui Guo, Kay Chen Tan:
Online Bagging for Anytime Transfer Learning. SSCI 2019: 941-947 - [c20]Zhenzhong Wang, Min Jiang, Xing Gao, Liang Feng, Weizhen Hu, Kay Chen Tan:
Evolutionary Dynamic Multi-objective Optimization via Regression Transfer Learning. SSCI 2019: 2375-2381 - [i5]Min Jiang, Weizhen Hu, Liming Qiu, Minghui Shi, Kay Chen Tan:
Solving dynamic multi-objective optimization problems via support vector machine. CoRR abs/1910.08747 (2019) - [i4]Weizhen Hu, Min Jiang, Xing Gao, Kay Chen Tan, Yiu-ming Cheung:
Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine. CoRR abs/1910.08751 (2019) - [i3]Zhenzhong Wang, Min Jiang, Xing Gao, Liang Feng, Weizhen Hu, Kay Chen Tan:
Evolutionary Dynamic Multi-objective Optimization Via Regression Transfer Learning. CoRR abs/1910.08753 (2019) - [i2]Guokun Chi, Min Jiang, Xing Gao, Weizhen Hu, Shihui Guo, Kay Chen Tan:
Online Bagging for Anytime Transfer Learning. CoRR abs/1910.08945 (2019) - 2018
- [j12]Min Jiang, Liming Qiu, Zhongqiang Huang, Gary G. Yen:
Dynamic Multi-objective Estimation of Distribution Algorithm based on Domain Adaptation and Nonparametric Estimation. Inf. Sci. 435: 203-223 (2018) - [j11]Minghui Shi, Changle Zhou, Jun Xie, Shaozi Li, Qingyang Hong, Min Jiang, Fei Chao, Weifeng Ren, Xiangqian Liu, Dajun Zhou, Tianyu Yang:
Electroencephalogram-based brain-computer interface for the Chinese spelling system: a survey. Frontiers Inf. Technol. Electron. Eng. 19(3): 423-436 (2018) - [j10]Min Jiang, Zhongqiang Huang, Liming Qiu, Wenzhen Huang, Gary G. Yen:
Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms. IEEE Trans. Evol. Comput. 22(4): 501-514 (2018) - [c19]Bolin Wu, Wang Hu, Zhenan He, Min Jiang, Gary G. Yen:
A Many-Objective Particle Swarm Optimization Based On Virtual Pareto Front. CEC 2018: 1-8 - [c18]Minghui Shi, Xiangqian Liu, Changle Zhou, Fei Chao, Chang Liu, Xinze Jiao, Yifei An, Sandra Ebele Nwachukwu, Min Jiang:
Towards portable SSVEP-based brain-computer interface using Emotiv EPOC and mobile phone. ICACI 2018: 249-253 - [c17]Min Jiang, Weizhen Hu, Liming Qiu, Minghui Shi, Kay Chen Tan:
Solving dynamic multi-objective optimization problems via support vector machine. ICACI 2018: 819-824 - 2017
- [j9]Min Jiang, Jacek Mandziuk, Ben Goertzel, Naoyuki Kubota:
Guest Editorial Special Issue on Human-Like Intelligence and Robotics. IEEE Syst. J. 11(3): 1269-1271 (2017) - [j8]Min Jiang, Wenzhen Huang, Zhongqiang Huang, Gary G. Yen:
Integration of Global and Local Metrics for Domain Adaptation Learning Via Dimensionality Reduction. IEEE Trans. Cybern. 47(1): 38-51 (2017) - [c16]Min Jiang, Zhongqiang Huang, Guiying Jiang, Minghui Shi, Xiangxiang Zeng:
Motion generation of multi-legged robot in complex terrains by using estimation of distribution algorithm. SSCI 2017: 1-6 - [c15]Xiangqian Liu, Fei Chao, Min Jiang, Changle Zhou, Weifeng Ren, Minghui Shi:
Towards Low-Cost P300-Based BCI Using Emotiv Epoc Headset. UKCI 2017: 239-244 - [c14]Jiangqin Xu, Zhongqiang Huang, Minghui Shi, Min Jiang:
Emotion Detection in E-learning Using Expectation-Maximization Deep Spatial-Temporal Inference Network. UKCI 2017: 245-252 - 2016
- [c13]Minghui Shi, Changle Zhou, Min Jiang, Qingyang Hong, Fei Chao, Jun Xie, Weifeng Ren, Dajun Zhou, Tianyu Yang, Xiangqian Liu:
Advancement in the EEG-Based Chinese Spelling Systems. ICIRA (2) 2016: 110-117 - [i1]Min Jiang, Zhongqiang Huang, Liming Qiu, Wenzhen Huang, Gary G. Yen:
Transfer Learning based Dynamic Multiobjective Optimization Algorithms. CoRR abs/1612.06093 (2016) - 2015
- [j7]Yin Wu, Min Jiang, Zhongqiang Huang, Fei Chao, Changle Zhou:
An NP-complete fragment of fibring logic. Ann. Math. Artif. Intell. 75(3-4): 391-417 (2015) - [c12]Zuyuan Zhu, Fei Chao, Xin Zhang, Min Jiang, Changle Zhou:
A Developmental Approach to Mobile Robotic Reaching. ICIRA (2) 2015: 284-294 - 2014
- [j6]Fei Chao, Fuhai Chen, Yunhang Shen, Wenli He, Yan Sun, Zhengshuai Wang, Changle Zhou, Min Jiang:
Robotic Free Writing of Chinese Characters via Human-Robot Interactions. Int. J. Humanoid Robotics 11(1) (2014) - [j5]Fei Chao, Zhengshuai Wang, Changjing Shang, Qinggang Meng, Min Jiang, Changle Zhou, Qiang Shen:
A developmental approach to robotic pointing via human-robot interaction. Inf. Sci. 283: 288-303 (2014) - [c11]Fei Chao, Yan Sun, Zhengshuai Wang, Gang Yao, Zuyuan Zhu, Changle Zhou, Qinggang Meng, Min Jiang:
A reduced classifier ensemble approach to human gesture classification for robotic Chinese handwriting. FUZZ-IEEE 2014: 1720-1727 - [c10]Min Jiang, Yulong Ding, Ben Goertzel, Zhongqiang Huang, Changle Zhou, Fei Chao:
Improving machine vision via incorporating expectation-maximization into Deep Spatio-Temporal learning. IJCNN 2014: 1804-1811 - [c9]Gang Yao, Fei Chao, Hualin Zeng, Minghui Shi, Min Jiang, Changle Zhou:
Integrate classifier diversity evaluation to feature selection based classifier ensemble reduction. UKCI 2014: 1-7 - 2013
- [j4]Zhenhua Cai, Ben Goertzel, Changle Zhou, Deheng Huang, Shujing Ke, Gino Yu, Min Jiang:
OpenPsi: A novel computational affective model and its application in video games. Eng. Appl. Artif. Intell. 26(1): 1-12 (2013) - [j3]Fei Chao, Xin Zhang, Haixiong Lin, Changle Zhou, Min Jiang:
Learning Robotic Hand-eye Coordination Through a Developmental Constraint Driven Approach. Int. J. Autom. Comput. 10(5): 414-424 (2013) - [c8]Min Jiang, Yang Yu, Fei Chao, Minghui Shi, Changle Zhou:
A connectionist model for 2-dimensional modal logic. CIHLI 2013: 54-59 - [c7]Zhengshuai Wang, Fei Chao, Haixiong Lin, Min Jiang, Changle Zhou:
A human-like learning approach to developmental robotic reaching. ROBIO 2013: 581-586 - 2012
- [j2]Zhenhua Cai, Ben Goertzel, Changle Zhou, Yongfeng Zhang, Min Jiang, Gino Yu:
Dynamics of a computational affective model inspired by Dörner's PSI theory. Cogn. Syst. Res. 17-18: 63-80 (2012) - [c6]Fei Chao, Haixiong Lin, Min Jiang, Minghui Shi, Jinying Chao:
Integration of brain-like computational structure and infant behaviorial pattern for robotic hand-eye coordination. ICARCV 2012: 100-105 - [c5]Minghui Shi, Changle Zhou, Fei Chao, Min Jiang:
An algorithm for computing attribute reducts based on graph search strategy. IJCNN 2012: 1-8 - [c4]Fei Chao, Haixiong Lin, Min Jiang, Changle Zhou:
A developmental constraint driven approach to developmental robotic hand-eye coordination. ROBIO 2012: 1848-1853 - [c3]Xiaojun Zhang, Min Jiang, Changle Zhou, Yijiang Hao:
Graded BDI Models for Agent Architectures Based on Łukasiewicz Logic and Propositional Dynamic Logic. WISM 2012: 439-450 - 2010
- [j1]Min Jiang, Changle Zhou, Shuo Chen:
Embodied concept formation and reasoning via neural-symbolic integration. Neurocomputing 74(1-3): 113-120 (2010)
2000 – 2009
- 2008
- [c2]Min Jiang, Changle Zhou, Fan Zhang, Shu Chen:
Interpretation, Transformation and Model Checking of Semi-formal Diagram Notations. CSSE (2) 2008: 263-266 - [c1]Min Jiang, Changle Zhou, Guoqing Wu, Fan Zhang:
A CSP-Based Approach for Solving Parity Game. FAW 2008: 135-146
Coauthor Index
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last updated on 2024-12-04 21:08 CET by the dblp team
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