New results on the performance of distributed Bayesian detection systems. - Ming Xiang; Junwei Zhao (IEEE Trans. Syst. Man Cybern. Part A, 2001)

On the performance of distributed Neyman-Pearson detection systems. - Ming Xiang; Junwei Zhao (IEEE Trans. Syst. Man Cybern. Part A, 2001)

Optimization of Distributed Detection Systems under Neyman-Pearson Criterion. - Ming Xiang (FUSION, 2006)

Distributed signal detection with serial structures. - Ming Xiang; Liqi Wang (FUSION, 2006)

Reduction in V1 activation associated with decreased visibility of a visual target. - Jie Huang; Ming Xiang; Yue Cao (NeuroImage, 2006)

Some new results on distributed Neyman-Pearson detection with correlated sensor observations. - Ming Xiang (FUSION, 2007)

An Improved Fingerprint Singular Point Detection Algorithm Based on Continuous Orientation Field. - Ting Tang; Xiaopei Wu; Ming Xiang (ISCSCT (2), 2008)

A Sixth-order Image Approximation to the Ionic Solvent Induced Reaction Field. - Ming Xiang; Shaozhong Deng; Wei Cai (J. Sci. Comput., 2009)

Self-Adjustable Trust-Based Energy Efficient Routing for Smart Grid Systems. - Ming Xiang; Quan Bai 001; William Liu (Web Intelligence/IAT Workshops, 2012)

Trust-based geographical routing For smart grid communication networks. - Ming Xiang; William Liu; Quan Bai 001 (SmartGridComm, 2012)

TIGER: A Trust-based Intelligent Geographical Energy-aware Routing for Smart Grid Communication Networks. - Ming Xiang; William Liu; Quan Bai 001 (TrustCom/ISPA/IUCC, 2013)

Dependability and Resource Optimation Analysis for Smart Grid Communication Networks. - Ming Xiang; Sotharith Tauch; William Liu (BDCloud, 2014)

Trust-based Adaptive Routing for Smart Grid Systems. - Ming Xiang; Quan Bai 001; William Liu (J. Inf. Process., 2014)

Competitive agglomeration based KNN in indoor WLAN localization environment. - Qing Jiang; Kunpeng Li; Mu Zhou; Zengshan Tian; Ming Xiang (ChinaCom, 2015)

PCA based hybrid hyperplane margin clustering and regression for indoor WLAN localization. - Lingxia Li; Ming Xiang; Mu Zhou; Zengshan Tian; Yunxia Tang (ChinaCom, 2015)

Learning discriminant isomap for dimensionality reduction. - Bo Yang; Ming Xiang; Yupei Zhang (IJCNN, 2015)

The double-edged sword: Revealing the critical role of structural hole in forming trust for securing Wireless sensor networks. - Ming Xiang; William Liu; Quan Bai 001; Adnan Al-Anbuky (ITNAC, 2015)

Simmelian Ties and Structural Holes: Exploring Their Topological Roles in Forming Trust for Securing Wireless Sensor Networks. - Ming Xiang; William Liu; Quan Bai 001; Adnan Al-Anbuky (TrustCom/BigDataSE/ISPA (1), 2015)

Avoiding the Opportunist: The Role of Simmelian Ties in Fostering the Trust in Sensor-Cloud Networks. - Ming Xiang; William Liu; Quan Bai 001; Adnan Al-Anbuky (Int. J. Distributed Sens. Networks, 2015)

A fuzzy logic-based sustainable and trusted routing for P2P enabled smart grid. - Ming Xiang; William Liu; Quan Bai 001 (Int. J. Comput. Sci. Eng., 2016)

Linear dimensionality reduction based on Hybrid structure preserving projections. - Yupei Zhang; Ming Xiang; Bo Yang (Neurocomputing, 2016)

Multi-manifold Discriminant Isomap for visualization and classification. - Bo Yang 041; Ming Xiang; Yupei Zhang (Pattern Recognit., 2016)

NTaaS: Network trustworthiness as a service. - Ming Xiang; William Liu; Quan Bai 001; Adnan Al-Anbuky; Jinsong Wu 001; Arjuna Sathiaseelan (ITNAC, 2017)

An Empirical Analysis of Approximation Algorithms for the Euclidean Traveling Salesman Problem. - Yihui He; Ming Xiang (CoRR, 2017)

Graph regularized nonnegative sparse coding using incoherent dictionary for approximate nearest neighbor search. - Yupei Zhang; Ming Xiang; Bo Yang 041 (Pattern Recognit., 2017)

Low-rank preserving embedding. - Yupei Zhang; Ming Xiang; Bo Yang 041 (Pattern Recognit., 2017)

Low-Rank Graph Regularized Sparse Coding. - Yupei Zhang; Shuhui Liu; Xuequn Shang 001; Ming Xiang (PRICAI (1), 2018)

Hierarchical sparse coding from a Bayesian perspective. - Yupei Zhang; Ming Xiang; Bo Yang (Neurocomputing, 2018)

Design and Development for CIS-WLCSP Using Vertical TSV Technology. - Tianshen Zhou; Shuying Ma; Tao Hang; Ming Xiang (ICTA, 2020)

State-of-Health Prognosis for Lithium-Ion Batteries Considering the Limitations in Measurements via Maximal Information Entropy and Collective Sparse Variational Gaussian Process. - Ming Xiang; Yigang He; Hui Zhang 080; Chaolong Zhang 001; Lei Wang 147; Chenyuan Wang; Chunsong Sui (IEEE Access, 2020)

Predicting the Lung Squamous Cell Carcinoma Diagnosis and Prognosis Markers by Unique DNA Methylation and Gene Expression Profiles. - Weiqing Wang; Shaohua Wang; Xiao Chu; Hui Liu; Ming Xiang (J. Comput. Biol., 2020)

Is there a predictability hierarchy in reference resolution? - Weijie Xu; Ming Xiang (CogSci, 2021)

Unrepeatered Transmission of Single-Carrier 800Gb/s over 404km with Commercial Transceiver and Enhanced ROPA System. - JianJun Wu; Jian Xu; Qianggao Hu; Jiekui Yu; Jiasheng Liu; Qing Luo; Wenzhong Wang; Liyan Huang; Chao Huang; Han Long; Shujuan Sun; Mingxiong Duan; et al. (OFC, 2021)

Individual Differences in Categorization Gradience As Predicted by Online Processing of Phonetic Cues During Spoken Word Recognition: Evidence From Eye Movements. - Jinghua Ou; Alan C. L. Yu; Ming Xiang (Cogn. Sci., 2021)

Noun phrase representational complexity reduces maintenance cost in working memory by increasing distinctiveness between referents. - Chi Dat (Daniel) Lam; Ming Xiang (CogSci, 2022)

Syntactic adaptation to short-term cue-based distributional regularities. - Weijie Xu; Jiaxuan Li; Ming Xiang; Richard Futrell (CogSci, 2022)

Simple but Challenging: Natural Language Inference Models Fail on Simple Sentences. - Cheng Luo; Wei Liu 184; Jieyu Lin; Jiajie Zou; Ming Xiang; Nai Ding (EMNLP (Findings), 2022)

Development and validation of a machine learning-derived radiomics model for diagnosis of osteoporosis and osteopenia using quantitative computed tomography. - Qianrong Xie; Yue Chen; Yimei Hu; Fanwei Zeng; Pingxi Wang; Lin Xu; Jianhong Wu; Jie Li; Jing Zhu; Ming Xiang; Fanxin Zeng (BMC Medical Imaging, 2022)

β-Stochastic Sign SGD: A Byzantine Resilient and Differentially Private Gradient Compressor for Federated Learning. - Ming Xiang; Lili Su (CoRR, 2022)

Broadband usage for rural communities in the North Island of Aotearoa New Zealand. - Ming Xiang; William Liu; Edmund M.-K. Lai; Jairo A. Gutiérrez; Luca Chiaraviglio; Jinsong Wu 001 (Intell. Converged Networks, 2022)

A Mutual Guide Framework for Training Hyperspectral Image Classifiers With Small Data. - Xiaoxiao Tai; Mingjie Li; Ming Xiang; Peng Ren 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Adjective Scale Probe: Can Language Models Encode Formal Semantics Information? - Wei Liu 184; Ming Xiang; Nai Ding (AAAI, 2023)

Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. - Ming Xiang; Stratis Ioannidis; Edmund Yeh; Carlee Joe-Wong; Lili Su (CDC, 2023)

Memory Versus Expectation: Processing Relative Clauses in a Flexible Word Order Language. - Eszter Ronai; Ming Xiang (Cogn. Sci., 2023)

Development of a High-Quality Dolphin Whistle Signal Dataset and Clustering Analysis of Sousa Chinensis Calls. - Kangrong Li; Yankun Chen; Zhuo Liu; Ming Xiang; Zhengqiao Zhao; Zhanwei Li; Jie Chen (ICSPCC, 2024)

Classification of Typical Tursiops Aduncus Whistle Signals Using Convolutional Neural Networks. - Ming Xiang; Yankun Chen; Zhanwei Li; Kangrong Li; Zhuo Liu; Zhengqiao Zhao; Jie Chen (ICSPCC, 2024)

Design of a Variable Wheel-propeller Integrated Mechanism for Amphibious Robots. - Liang Lu; Xiangquan Gao; Ming Xiang; Zefeng Yan; Bin Han (IROS, 2024)

Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability. - Ming Xiang; Stratis Ioannidis; Edmund Yeh; Carlee Joe-Wong; Lili Su (NeurIPS, 2024)

Active Use of Latent Constituency Representation in both Humans and Large Language Models. - Wei Liu; Ming Xiang; Nai Ding (CoRR, 2024)

Incremental Discourse-Update Constrains Number Agreement Attraction Effect. - Sanghee J. Kim; Ming Xiang (Cogn. Sci., 2024)

Empowering Federated Learning With Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics. - Ming Xiang; Stratis Ioannidis; Edmund Yeh; Carlee Joe-Wong; Lili Su (IEEE Trans. Signal Process., 2025)

Pattern synthesis of linear antenna-array for high gain and low sidelobe level based on sand cat swarm optimization algorithm. - Jianhui Mou; Jian Wang; Yangwei Wang; Ming Xiang; Lihua Zhang (J. Supercomput., 2025)