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ORCIDMing Xiang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. 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.
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2020 – today
- 2025
[j21]Jianhui Mou, Jian Wang, Yangwei Wang, Ming Xiang, Lihua Zhang:
Pattern synthesis of linear antenna-array for high gain and low sidelobe level based on sand cat swarm optimization algorithm. J. Supercomput. 81(1): 318 (2025)- 2024
- [j20]Sanghee J. Kim
, Ming Xiang:
Incremental Discourse-Update Constrains Number Agreement Attraction Effect. Cogn. Sci. 48(9) (2024) - [c27]Kangrong Li, Yankun Chen, Zhuo Liu, Ming Xiang, Zhengqiao Zhao, Zhanwei Li, Jie Chen:
Development of a High-Quality Dolphin Whistle Signal Dataset and Clustering Analysis of Sousa Chinensis Calls. ICSPCC 2024: 1-5 - [c26]Ming Xiang, Yankun Chen, Zhanwei Li, Kangrong Li, Zhuo Liu, Zhengqiao Zhao, Jie Chen:
Classification of Typical Tursiops Aduncus Whistle Signals Using Convolutional Neural Networks. ICSPCC 2024: 1-6 - [c25]Liang Lu, Xiangquan Gao, Ming Xiang, Zefeng Yan, Bin Han:
Design of a Variable Wheel-propeller Integrated Mechanism for Amphibious Robots. IROS 2024: 3519-3525 - [c24]Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su:
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability. NeurIPS 2024 - [i6]Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su:
Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics. CoRR abs/2404.10091 (2024) - [i5]Wei Liu, Ming Xiang, Nai Ding:
Active Use of Latent Constituency Representation in both Humans and Large Language Models. CoRR abs/2405.18241 (2024) - [i4]Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su:
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability. CoRR abs/2409.17446 (2024) - 2023
- [j19]Eszter Ronai, Ming Xiang:
Memory Versus Expectation: Processing Relative Clauses in a Flexible Word Order Language. Cogn. Sci. 47(1) (2023) - [c23]Wei Liu, Ming Xiang, Nai Ding:
Adjective Scale Probe: Can Language Models Encode Formal Semantics Information? AAAI 2023: 13282-13290 - [c22]Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su:
Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. CDC 2023: 6719-6724 - [i3]Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su:
Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. CoRR abs/2306.00280 (2023) - 2022
- [j18]Qianrong Xie, Yue Chen, Yimei Hu, Fanwei Zeng, Pingxi Wang, Lin Xu, Jianhong Wu, Jie Li, Jing Zhu, Ming Xiang, Fanxin Zeng:
Development and validation of a machine learning-derived radiomics model for diagnosis of osteoporosis and osteopenia using quantitative computed tomography. BMC Medical Imaging 22(1): 140 (2022) - [j17]Ming Xiang, William Liu, Edmund M.-K. Lai, Jairo A. Gutiérrez, Luca Chiaraviglio, Jinsong Wu:
Broadband usage for rural communities in the North Island of Aotearoa New Zealand. Intell. Converged Networks 3(3): 244-259 (2022) - [j16]Xiaoxiao Tai, Mingjie Li, Ming Xiang, Peng Ren:
A Mutual Guide Framework for Training Hyperspectral Image Classifiers With Small Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [c21]Chi Dat (Daniel) Lam, Ming Xiang:
Noun phrase representational complexity reduces maintenance cost in working memory by increasing distinctiveness between referents. CogSci 2022 - [c20]Weijie Xu, Jiaxuan Li, Ming Xiang, Richard Futrell:
Syntactic adaptation to short-term cue-based distributional regularities. CogSci 2022 - [c19]Cheng Luo, Wei Liu, Jieyu Lin, Jiajie Zou, Ming Xiang, Nai Ding:
Simple but Challenging: Natural Language Inference Models Fail on Simple Sentences. EMNLP (Findings) 2022: 3449-3462 - [i2]Ming Xiang, Lili Su:
β-Stochastic Sign SGD: A Byzantine Resilient and Differentially Private Gradient Compressor for Federated Learning. CoRR abs/2210.00665 (2022) - 2021
- [j15]Jinghua Ou, Alan C. L. Yu, Ming Xiang:
Individual Differences in Categorization Gradience As Predicted by Online Processing of Phonetic Cues During Spoken Word Recognition: Evidence From Eye Movements. Cogn. Sci. 45(3) (2021) - [c18]Weijie Xu, Ming Xiang:
Is there a predictability hierarchy in reference resolution? CogSci 2021 - [c17]JianJun Wu, Jian Xu, Qianggao Hu, Jiekui Yu, Jiasheng Liu, Qing Luo, Wenzhong Wang, Liyan Huang, Chao Huang, Han Long, Shujuan Sun, Mingxiong Duan, Ming Xiang, Guoliang He:
Unrepeatered Transmission of Single-Carrier 800Gb/s over 404km with Commercial Transceiver and Enhanced ROPA System. OFC 2021: 1-3 - 2020
- [j14]Ming Xiang, Yigang He, Hui Zhang, Chaolong Zhang, Lei Wang, Chenyuan Wang, Chunsong Sui:
State-of-Health Prognosis for Lithium-Ion Batteries Considering the Limitations in Measurements via Maximal Information Entropy and Collective Sparse Variational Gaussian Process. IEEE Access 8: 188199-188217 (2020) - [j13]Weiqing Wang, Shaohua Wang, Xiao Chu, Hui Liu, Ming Xiang:
Predicting the Lung Squamous Cell Carcinoma Diagnosis and Prognosis Markers by Unique DNA Methylation and Gene Expression Profiles. J. Comput. Biol. 27(7): 1041-1054 (2020) - [c16]Tianshen Zhou, Shuying Ma, Tao Hang, Ming Xiang:
Design and Development for CIS-WLCSP Using Vertical TSV Technology. ICTA 2020: 119-120
2010 – 2019
- 2018
- [j12]Yupei Zhang, Ming Xiang, Bo Yang:
Hierarchical sparse coding from a Bayesian perspective. Neurocomputing 272: 279-293 (2018) - [c15]Yupei Zhang, Shuhui Liu, Xuequn Shang, Ming Xiang:
Low-Rank Graph Regularized Sparse Coding. PRICAI (1) 2018: 177-190 - 2017
- [j11]Yupei Zhang, Ming Xiang, Bo Yang:
Graph regularized nonnegative sparse coding using incoherent dictionary for approximate nearest neighbor search. Pattern Recognit. 70: 75-88 (2017) - [j10]Yupei Zhang, Ming Xiang, Bo Yang:
Low-rank preserving embedding. Pattern Recognit. 70: 112-125 (2017) - [c14]Ming Xiang, William Liu, Quan Bai, Adnan Al-Anbuky, Jinsong Wu, Arjuna Sathiaseelan:
NTaaS: Network trustworthiness as a service. ITNAC 2017: 1-6 - [i1]Yihui He, Ming Xiang:
An Empirical Analysis of Approximation Algorithms for the Euclidean Traveling Salesman Problem. CoRR abs/1705.09058 (2017) - 2016
- [j9]Ming Xiang, William Liu, Quan Bai:
A fuzzy logic-based sustainable and trusted routing for P2P enabled smart grid. Int. J. Comput. Sci. Eng. 13(2): 165-174 (2016) - [j8]Yupei Zhang, Ming Xiang, Bo Yang:
Linear dimensionality reduction based on Hybrid structure preserving projections. Neurocomputing 173: 518-529 (2016) - [j7]Bo Yang, Ming Xiang, Yupei Zhang:
Multi-manifold Discriminant Isomap for visualization and classification. Pattern Recognit. 55: 215-230 (2016) - 2015
- [j6]Ming Xiang, William Liu, Quan Bai, Adnan Al-Anbuky:
Avoiding the Opportunist: The Role of Simmelian Ties in Fostering the Trust in Sensor-Cloud Networks. Int. J. Distributed Sens. Networks 11: 873941:1-873941:11 (2015) - [c13]Qing Jiang, Kunpeng Li, Mu Zhou, Zengshan Tian, Ming Xiang:
Competitive agglomeration based KNN in indoor WLAN localization environment. ChinaCom 2015: 338-342 - [c12]Lingxia Li, Ming Xiang, Mu Zhou, Zengshan Tian, Yunxia Tang:
PCA based hybrid hyperplane margin clustering and regression for indoor WLAN localization. ChinaCom 2015: 377-381 - [c11]Bo Yang, Ming Xiang, Yupei Zhang:
Learning discriminant isomap for dimensionality reduction. IJCNN 2015: 1-8 - [c10]Ming Xiang, William Liu, Quan Bai, Adnan Al-Anbuky:
The double-edged sword: Revealing the critical role of structural hole in forming trust for securing Wireless sensor networks. ITNAC 2015: 286-291 - [c9]Ming Xiang, William Liu, Quan Bai, Adnan Al-Anbuky:
Simmelian Ties and Structural Holes: Exploring Their Topological Roles in Forming Trust for Securing Wireless Sensor Networks. TrustCom/BigDataSE/ISPA (1) 2015: 96-103 - 2014
- [j5]Ming Xiang, Quan Bai, William Liu:
Trust-based Adaptive Routing for Smart Grid Systems. J. Inf. Process. 22(2): 210-218 (2014) - [c8]Ming Xiang, Sotharith Tauch, William Liu:
Dependability and Resource Optimation Analysis for Smart Grid Communication Networks. BDCloud 2014: 676-681 - 2013
- [c7]Ming Xiang, William Liu, Quan Bai:
TIGER: A Trust-based Intelligent Geographical Energy-aware Routing for Smart Grid Communication Networks. TrustCom/ISPA/IUCC 2013: 65-72 - 2012
- [c6]Ming Xiang, Quan Bai, William Liu:
Self-Adjustable Trust-Based Energy Efficient Routing for Smart Grid Systems. Web Intelligence/IAT Workshops 2012: 378-382 - [c5]Ming Xiang, William Liu, Quan Bai:
Trust-based geographical routing For smart grid communication networks. SmartGridComm 2012: 704-709
2000 – 2009
- 2009
- [j4]Ming Xiang, Shaozhong Deng, Wei Cai:
A Sixth-order Image Approximation to the Ionic Solvent Induced Reaction Field. J. Sci. Comput. 41(3): 411-435 (2009) - 2008
- [c4]Ting Tang, Xiaopei Wu, Ming Xiang:
An Improved Fingerprint Singular Point Detection Algorithm Based on Continuous Orientation Field. ISCSCT (2) 2008: 454-457 - 2007
- [c3]Ming Xiang:
Some new results on distributed Neyman-Pearson detection with correlated sensor observations. FUSION 2007: 1-6 - 2006
- [j3]Jie Huang, Ming Xiang, Yue Cao:
Reduction in V1 activation associated with decreased visibility of a visual target. NeuroImage 31(4): 1693-1699 (2006) - [c2]Ming Xiang:
Optimization of Distributed Detection Systems under Neyman-Pearson Criterion. FUSION 2006: 1-6 - [c1]Ming Xiang, Liqi Wang:
Distributed signal detection with serial structures. FUSION 2006: 1-6 - 2001
- [j2]Ming Xiang, Junwei Zhao:
New results on the performance of distributed Bayesian detection systems. IEEE Trans. Syst. Man Cybern. Part A 31(1): 73-78 (2001) - [j1]Ming Xiang, Junwei Zhao:
On the performance of distributed Neyman-Pearson detection systems. IEEE Trans. Syst. Man Cybern. Part A 31(1): 78-83 (2001)
Coauthor Index
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