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ORCIDMing Hou
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Ming Hou 0001 — The University of Hull, UK (and 1 more)
- Ming Hou 0002
![[0000-0003-2621-5539]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2621-5539")
— Defence Research and Development Canada (DRDC), Toronto, Canada (and 1 more)
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2020 – today
- 2026
[j15]Yu Chen, Haotian Xu, Jie Liu, Ming Hou, Yang Li, Shaopeng Qiu, Maohua Sun, Huimin Zhao, Wu Deng:
A Hybridizing-Enhanced Quantum-Inspired Differential Evolution Algorithm with Multi-Strategy for Complicated Optimization. J. Artif. Intell. Soft Comput. Res. 16(1): 5-37 (2026)- [j14]Ming Hou, Wenchong Xie, Wei Chen, Yuanyi Xiong:
Mainlobe compound jamming suppression method for airborne radar based on superimposed stepped frequency waveform. Signal Process. 239: 110255 (2026) - 2025
- [j13]Ming Hou, Limeng Jia, Zhengqin Wang:
Adaptive Parameter Approaching Law-Based Sliding Mode Control for Wheeled Robots. IEEE Access 13: 14881-14890 (2025) - [j12]Yuanyi Xiong, Wenchong Xie, Wei Chen, Ming Hou, Chengyin Liu, Yongliang Wang:
Isolated point clutter suppression method for airborne STAP radar in wind farm environment. Signal Process. 227: 109723 (2025) - [j11]Yuanyi Xiong, Wenchong Xie, Yongliang Wang, Wei Chen, Ming Hou:
Short-Range Nonstationary Clutter Suppression for Airborne KA-STAP Radar in Complex Terrain Environment. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 2766-2776 (2025) - [c19]Jeremy C.-H. Wang, Ming Hou, David Dunwoody, Marko Ilievski, Justin Tomasi, Edward Chao, Carl Pigeon:
Flight Testing an Optionally Piloted Aircraft: A Case Study on Trust Dynamics in Human-Autonomy Teaming. ICHMS 2025: 149-153 - [c18]Kunyang Li, Ming Hou:
Robust Lane Detection with Wavelet-Enhanced Context Modeling and Adaptive Sampling. ICIC (13) 2025: 30-41 - [i5]Jeremy C.-H. Wang, Ming Hou, David Dunwoody, Marko Ilievski, Justin Tomasi, Edward Chao, Carl Pigeon:
Flight Testing an Optionally Piloted Aircraft: a Case Study on Trust Dynamics in Human-Autonomy Teaming. CoRR abs/2503.16227 (2025) - [i4]Kunyang Li, Ming Hou:
Robust Lane Detection with Wavelet-Enhanced Context Modeling and Adaptive Sampling. CoRR abs/2503.18631 (2025) - 2023
- [j10]Ming Hou, Wenchong Xie, Yuanyi Xiong, Hu Li, Qizhe Qu, Zhenshuo Lei:
Optimizing an Algorithm Designed for Sparse-Frequency Waveforms for Use in Airborne Radars. Remote. Sens. 15(17): 4322 (2023) - [j9]Jiajia Tang, Ming Hou, Xuanyu Jin, Jianhai Zhang, Qibin Zhao, Wanzeng Kong:
Tree-Based Mix-Order Polynomial Fusion Network for Multimodal Sentiment Analysis. Syst. 11(1): 44 (2023) - [j8]Ming Hou:
Challenges in Understanding Trust and Trust Modeling - Quenching the Thirst for AI Trust Management. Trans. Comput. Sci. 40: 1-5 (2023) - 2022
- [j7]Ming Hou, Chandra Kambhampati:
Locally fitting hyperplanes to high-dimensional data. Neural Comput. Appl. 34(11): 8885-8896 (2022) - [j6]Xinqi Chen, Guoxu Zhou, Yanjiao Wang, Ming Hou, Qibin Zhao, Shengli Xie:
Accommodating Multiple Tasks' Disparities With Distributed Knowledge-Sharing Mechanism. IEEE Trans. Cybern. 52(4): 2440-2452 (2022) - [c17]Jiajia Tang, Kang Li, Ming Hou, Xuanyu Jin, Wanzeng Kong, Yu Ding, Qibin Zhao:
MMT: Multi-way Multi-modal Transformer for Multimodal Learning. IJCAI 2022: 3458-3465 - 2020
- [c16]Ming Hou, Karthik Mahadevan, Sowmya Somanath, Ehud Sharlin, Lora Oehlberg:
Autonomous Vehicle-Cyclist Interaction: Peril and Promise. CHI 2020: 1-12
2010 – 2019
- 2019
- [c15]Chao Li, Zhun Sun, Jinshi Yu, Ming Hou, Qibin Zhao:
Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling. ICASSP 2019: 3022-3026 - [c14]Ming Hou, Jiajia Tang, Jianhai Zhang, Wanzeng Kong, Qibin Zhao:
Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling. NeurIPS 2019: 12113-12122 - 2018
- [j5]Huimin Zhao, Shaoyan Zuo, Ming Hou, Wei Liu, Ling Yu, Xinhua Yang, Wu Deng:
A Novel Adaptive Signal Processing Method Based on Enhanced Empirical Wavelet Transform Technology. Sensors 18(10): 3323 (2018) - [c13]Da Pan, Ping Shi, Ming Hou, Zefeng Ying, Sizhe Fu, Yuan Zhang:
Blind Predicting Similar Quality Map for Image Quality Assessment. CVPR 2018: 6373-6382 - [c12]Ming Hou, Hongli Zhang, Yuhang Wang:
OFC: An Approach for Protecting Location Privacy from Location Provider in Location-Based Services. DSC 2018: 917-922 - [c11]Ming Hou, Brahim Chaib-draa, Chao Li, Qibin Zhao:
Generative Adversarial Positive-Unlabelled Learning. IJCAI 2018: 2255-2261 - [i3]Da Pan, Ping Shi, Ming Hou, Zefeng Ying, Sizhe Fu, Yuan Zhang:
Blind Predicting Similar Quality Map for Image Quality Assessment. CoRR abs/1805.08493 (2018) - [i2]Chao Li, Zhun Sun, Jinshi Yu, Ming Hou, Qibin Zhao:
Low-Rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling. CoRR abs/1810.13098 (2018) - 2017
- [c10]Da Pan, Ping Shi, Dixiu Zhong, Ming Hou, Zefeng Ying, Sizhe Fu:
Weighted ensemble learning prediction for blind symmetrically distorted stereoscopic images. ICSAI 2017: 1297-1301 - [c9]Ming Hou, Brahim Chaib-draa:
Fast Recursive Low-rank Tensor Learning for Regression. IJCAI 2017: 1851-1857 - [i1]Ming Hou, Qibin Zhao, Chao Li, Brahim Chaib-draa:
A generative adversarial framework for positive-unlabeled classification. CoRR abs/1711.08054 (2017) - 2016
- [j4]Goran Abdulrahman Mohammed, Ming Hou:
Optimization of Active Muscle Force-Length Models Using Least Squares Curve Fitting. IEEE Trans. Biomed. Eng. 63(3): 630-635 (2016) - [c8]Ming Hou, Qibin Zhao, Brahim Chaib-draa, Andrzej Cichocki:
Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression. AAAI 2016: 1673-1679 - [c7]Ming Hou, Brahim Chaib-draa:
Online incremental higher-order partial least squares regression for fast reconstruction of motion trajectories from tensor streams. ICASSP 2016: 6205-6209 - 2015
- [c6]Ming Hou, Yali Wang, Brahim Chaib-draa:
Online local Gaussian process for tensor-variate regression: Application to fast reconstruction of limb movements from brain signal. ICASSP 2015: 5490-5494 - [c5]Ming Hou, Brahim Chaib-draa:
Hierarchical tucker tensor regression: Application to brain imaging data analysis. ICIP 2015: 1344-1348 - 2010
- [j3]Guoan Yang, Xiaofeng Fang, Mingli Jing, Songjun Zhang, Ming Hou:
Contourlet Filter Design Based on Chebyshev Best Uniform Approximation. EURASIP J. Adv. Signal Process. 2010 (2010) - [j2]Guoan Yang, Huub van de Wetering, Ming Hou, Chihiro Ikuta, Yuehu Liu:
A Novel Design Approach for Contourlet Filter Banks. IEICE Trans. Inf. Syst. 93-D(7): 2009-2011 (2010)
1990 – 1999
- 1999
- [j1]Ming Hou, Hussein T. Mouftah:
Investigation of premium service using differentiated services IP. Comput. Commun. 22(14): 1283-1295 (1999) - [c4]Ming Hou, Hussein T. Mouftah:
QUIPS: A Simulation Tool for QoS Management Over the Internet. IMSA 1999: 69-73 - [c3]Ming Hou, Hussein T. Mouftah:
Design and Implementation of a Simulation Tool for QoS Management Over the Internet. PDPTA 1999: 1083-1089 - 1996
- [c2]Ming Hou, Song Huat Yeo, Lin Wu, Hui Bin Zhang:
On teleoperation of an arc welding robotic system. ICRA 1996: 1275-1280 - [c1]Ming Hou, Song Huat Yeo, Lin Wu, Hui Bin Zhang:
Teleoperation characteristics and human response factor in relation to a robotic welding system. IROS 1996: 1195-1202
Coauthor Index
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