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Mingliang Hou
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2020 – today
- 2024
- [j21]Feng Xia, Xin Chen, Shuo Yu, Mingliang Hou, Mujie Liu, Linlin You:
Coupled Attention Networks for Multivariate Time Series Anomaly Detection. IEEE Trans. Emerg. Top. Comput. 12(1): 240-253 (2024) - [j20]Mingliang Hou, Tao Tang, Feng Xia, Ibrahim A. Sultan, Roopdeep Kaur, Xiangjie Kong:
MissII: Missing Information Imputation for Traffic Data. IEEE Trans. Emerg. Top. Comput. 12(3): 752-765 (2024) - [j19]Mingliang Hou, Feng Xia, Xin Chen, Vidya Saikrishna, Honglong Chen:
Adaptive Spatio-temporal Graph Learning for Bus Station Profiling. ACM Trans. Spatial Algorithms Syst. 10(3): 25:1-25:23 (2024) - [c11]Ying Zheng, Xueyi Li, Yaying Huang, Qianru Liang, Teng Guo, Mingliang Hou, Boyu Gao, Mi Tian, Zitao Liu, Weiqi Luo:
Automatic Lesson Plan Generation via Large Language Models with Self-critique Prompting. AIED Companion (1) 2024: 163-178 - [c10]Bojun Zhan, Teng Guo, Xueyi Li, Mingliang Hou, Qianru Liang, Boyu Gao, Weiqi Luo, Zitao Liu:
Knowledge Tracing as Language Processing: A Large-Scale Autoregressive Paradigm. AIED (1) 2024: 177-191 - [c9]Xueyi Li, Youheng Bai, Teng Guo, Ying Zheng, Mingliang Hou, Bojun Zhan, Yaying Huang, Zitao Liu, Boyu Gao, Weiqi Luo:
Extending Context Window of Attention Based Knowledge Tracing Models via Length Extrapolation. ECAI 2024: 1479-1486 - [i4]Xin Chen, Mingliang Hou, Tao Tang, Achhardeep Kaur, Feng Xia:
Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach. CoRR abs/2402.03750 (2024) - 2023
- [j18]Xiangjie Kong, Qiao Chen, Mingliang Hou, Hui Wang, Feng Xia:
Mobility trajectory generation: a survey. Artif. Intell. Rev. 56(Supplement 3): 3057-3098 (2023) - [j17]Shuo Yu, Feng Xia, Shihao Li, Mingliang Hou, Quan Z. Sheng:
Spatio-temporal Graph Learning for Epidemic Prediction. ACM Trans. Intell. Syst. Technol. 14(2): 36:1-36:25 (2023) - [i3]Feng Xia, Xin Chen, Shuo Yu, Mingliang Hou, Mujie Liu, Linlin You:
Coupled Attention Networks for Multivariate Time Series Anomaly Detection. CoRR abs/2306.07114 (2023) - 2022
- [j16]Mingliang Hou, Mengyuan Wang, Wenhong Zhao, Qichao Ni, Zhen Cai, Xiangjie Kong:
A lightweight framework for abnormal driving behavior detection. Comput. Commun. 184: 128-136 (2022) - [j15]Mingliang Hou, Feng Xia, Haoran Gao, Xin Chen, Honglong Chen:
Urban Region Profiling With Spatio-Temporal Graph Neural Networks. IEEE Trans. Comput. Soc. Syst. 9(6): 1736-1747 (2022) - [j14]Xiangjie Kong, Gaohui Duan, Mingliang Hou, Guojiang Shen, Hui Wang, Xiaoran Yan, Mario Collotta:
Deep Reinforcement Learning-Based Energy-Efficient Edge Computing for Internet of Vehicles. IEEE Trans. Ind. Informatics 18(9): 6308-6316 (2022) - [j13]Xiangjie Kong, Kailai Wang, Mingliang Hou, Feng Xia, Gour C. Karmakar, Jianxin Li:
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework. IEEE Trans. Intell. Transp. Syst. 23(9): 16148-16160 (2022) - [j12]Xiangjie Kong, Qiao Chen, Mingliang Hou, Azizur Rahim, Kai Ma, Feng Xia:
RMGen: A Tri-Layer Vehicular Trajectory Data Generation Model Exploring Urban Region Division and Mobility Pattern. IEEE Trans. Veh. Technol. 71(9): 9225-9238 (2022) - [i2]Xiangjie Kong, Kailai Wang, Mingliang Hou, Feng Xia, Gour C. Karmakar, Jianxin Li:
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework. CoRR abs/2202.10339 (2022) - 2021
- [j11]Jun Zhang, Xiaoyan Su, Mingliang Hou, Jing Ren:
A Computational Complexity-Based Method for Predicting Scholars' Ages through Articles' Information. Complex. 2021: 6648863:1-6648863:15 (2021) - [j10]Jing Ren, Feng Xia, Xiangtai Chen, Jiaying Liu, Mingliang Hou, Ahsan Shehzad, Nargiz Sultanova, Xiangjie Kong:
Matching Algorithms: Fundamentals, Applications and Challenges. IEEE Trans. Emerg. Top. Comput. Intell. 5(3): 332-350 (2021) - [j9]Xiangjie Kong, Kailai Wang, Mingliang Hou, Xinyu Hao, Guojiang Shen, Xin Chen, Feng Xia:
A Federated Learning-Based License Plate Recognition Scheme for 5G-Enabled Internet of Vehicles. IEEE Trans. Ind. Informatics 17(12): 8523-8530 (2021) - [c8]Qiao Chen, Kai Ma, Mingliang Hou, Xiangjie Kong, Feng Xia:
Decision Behavior Based Private Vehicle Trajectory Generation Towards Smart Cities. WISA 2021: 109-120 - [c7]Xin Chen, Mingliang Hou, Tao Tang, Achhardeep Kaur, Feng Xia:
Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach. HPCC/DSS/SmartCity/DependSys 2021: 1178-1187 - [c6]Mingliang Hou, Jing Ren, Falih Febrinanto, Ahsan Shehzad, Feng Xia:
Cross Network Representation Matching with Outliers. ICDM (Workshops) 2021: 951-958 - [c5]Mingliang Hou, Lei Wang, Jiaying Liu, Xiangjie Kong, Feng Xia:
A3Graph: adversarial attributed autoencoder for graph representation learning. SAC 2021: 1697-1704 - [i1]Jing Ren, Feng Xia, Xiangtai Chen, Jiaying Liu, Mingliang Hou, Ahsan Shehzad, Nargiz Sultanova, Xiangjie Kong:
Matching Algorithms: Fundamentals, Applications and Challenges. CoRR abs/2103.03770 (2021) - 2020
- [j8]Mingliang Hou, Jing Ren, Da Zhang, Xiangjie Kong, Dongyu Zhang, Feng Xia:
Network embedding: Taxonomies, frameworks and applications. Comput. Sci. Rev. 38: 100296 (2020) - [j7]Xiangjie Kong, Feng Xia, Jianxin Li, Mingliang Hou, Menglin Li, Yong Xiang:
A Shared Bus Profiling Scheme for Smart Cities Based on Heterogeneous Mobile Crowdsourced Data. IEEE Trans. Ind. Informatics 16(2): 1436-1444 (2020)
2010 – 2019
- 2019
- [j6]Jing Ren, Lei Wang, Kailai Wang, Shuo Yu, Mingliang Hou, Ivan Lee, Xiangjie Kong, Feng Xia:
API: An Index for Quantifying a Scholar's Academic Potential. IEEE Access 7: 178675-178684 (2019) - [c4]Xiangjie Kong, Linyan Wen, Jing Ren, Mingliang Hou, Minghao Zhang, Kang Liu, Feng Xia:
Many-to-Many Collaborator Recommendation Based on Matching Markets Theory. DASC/PiCom/DataCom/CyberSciTech 2019: 109-114 - 2016
- [c3]Mingliang Hou, Xingwei Hao, Shuo Tian, Yi Liu:
Construction of Learning Partners Based on Learning Interest. DASC/PiCom/DataCom/CyberSciTech 2016: 207-210 - 2014
- [j5]Yuran Liu, Mingliang Hou:
Liu-hou Prediction Algorithm for Weak Source Uncertainty Information. J. Comput. 9(2): 322-327 (2014) - 2013
- [j4]Yuran Liu, Mingliang Hou:
Fractional Order Correlation Algorithm's Accuracy Analysis. J. Softw. 8(2): 310-315 (2013) - 2012
- [j3]Mingliang Hou, Yuran Liu, Yun Hu:
Contrast Analysis on Fractional Order and Slope Correlation Accuracy. J. Comput. 7(8): 1865-1869 (2012) - [j2]Yuran Liu, Mingliang Hou, Yanglie Fu:
Uncertainty Time Series' Multi-Scale Fractional-Order Association Model. J. Comput. 7(11): 2617-2622 (2012) - [j1]Mingliang Hou, Yuran Liu:
Fractional Order Ship Tracking Correlation Algorithm. J. Softw. 7(12): 2894-2898 (2012)
2000 – 2009
- 2009
- [c2]Mingliang Hou, CunHua Li, Yong Zhang:
Texture Retrieval by Scale and Rotation Invariant Directional Empirical Mode Decomposition. ACIS-ICIS 2009: 1131-1135 - 2008
- [c1]Yuran Liu, Mingliang Hou, Xuejun Rao, Yudong Zhang:
A Steady Corner Detection of Gray Level Images Based on Improved Harris Algorithm. ICNSC 2008: 708-713
Coauthor Index
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last updated on 2024-10-31 20:19 CET by the dblp team
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