New Algorithms for Statistical Analysis of Interval Data. - Gang Xiang; Scott A. Starks; Vladik Kreinovich; Luc Longpré (PARA, 2004)

A Workflow Model Supporting Flexible Process Based on Extensible Organization. - Hongli Wu; Baolin Yin; Xia Zhao; Gang Xiang (APSCC, 2006)

Interval-based robust statistical techniques for non-negative convex functions, with application to timing analysis of computer chips. - Michael Orshansky; Wei-Shen Wang; Martine Ceberio; Gang Xiang (SAC, 2006)

Computing mean and variance under Dempster-Shafer uncertainty: Towards faster algorithms. - Vladik Kreinovich; Gang Xiang; Scott Ferson (Int. J. Approx. Reason., 2006)

Population Variance under Interval Uncertainty: A New Algorithm. - Evgeny Dantsin; Vladik Kreinovich; Alexander Wolpert; Gang Xiang (Reliab. Comput., 2006)

Towards Real World Applications: Interval-Related Talks at NAFIPS'05. - Vladik Kreinovich; François Modave; Scott A. Starks; Gang Xiang (Reliab. Comput., 2006)

Towards Combining Probabilistic and Interval Uncertainty in Engineering Calculations: Algorithms for Computing Statistics under Interval Uncertainty, and Their Computational Complexity. - Vladik Kreinovich; Gang Xiang; Scott A. Starks; Luc Longpré; Martine Ceberio; Roberto Araiza; Jan Beck; Raj Kandathi; Asis Nayak; Roberto Torres; Janos G. Hajagos (Reliab. Comput., 2006)

Fast Algorithm for Computing the Upper Endpoint of Sample Variance for Interval Data: Case of Sufficiently Accurate Measurements. - Gang Xiang (Reliab. Comput., 2006)

Estimating Variance Under Interval and Fuzzy Uncertainty: Case of Hierarchical Estimation. - Gang Xiang; Vladik Kreinovich (IFSA (1), 2007)

Data description and data access mechanism in distributed workflow system. - Hongli Wu; Baolin Yin; Xia Zhao; Gang Xiang (Infoscale, 2007)

Towards adding probabilities and correlations to interval computations. - Daniel Berleant; Martine Ceberio; Gang Xiang; Vladik Kreinovich (Int. J. Approx. Reason., 2007)

Computing Population Variance and Entropy under Interval Uncertainty: Linear-Time Algorithms. - Gang Xiang; Martine Ceberio; Vladik Kreinovich (Reliab. Comput., 2007)

Towards more adequate representation of uncertainty: From intervals to set intervals, with the possible addition of probabilities and certainty degrees. - Jingtao Yao 001; Yiyu Yao; Vladik Kreinovich; Paulo Pinheiro da Silva; Scott A. Starks; Gang Xiang; Hung T. Nguyen 002 (FUZZ-IEEE, 2008)

Fast Algorithms for Computing Statistics under Interval Uncertainty: An Overview. - Vladik Kreinovich; Gang Xiang (Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008)

Towards improved trapezoidal approximation to intersection (fusion) of trapezoidal fuzzy numbers: Specific procedure and general non-associativity theorem. - Gang Xiang; Vladik Kreinovich (FUZZ-IEEE, 2010)

Estimating information amount under uncertainty: algorithmic solvability and computational complexity. - Vladik Kreinovich; Gang Xiang (Int. J. Gen. Syst., 2010)

Multiscan-based Test Data Compression Using UBI Dictionary and Bitmask. - Yang Yu 015; Gang Xiang; Liyan Qiao (Asian Test Symposium, 2011)

How to define a confidence set for functions: a new justification of the area method. - Vladik Kreinovich; Gang Xiang; Michael Oberguggenberger (Int. J. Gen. Syst., 2011)

Estimating Variance under Interval and Fuzzy Uncertainty: Parallel Algorithms. - Karen Villaverde; Gang Xiang (Reliab. Comput., 2011)

Computing Statistics under Interval and Fuzzy Uncertainty - Applications to Computer Science and Engineering - Hung T. Nguyen 002; Vladik Kreinovich; Berlin Wu; Gang Xiang (Springer, 2012)

Data anonymization that leads to the most accurate estimates of statistical characteristics. - Gang Xiang; Vladik Kreinovich (CIES, 2013)

Anti-rumor dynamics and rumor control strategies on complex network. - Kaihua Ji; Jiawei Liu; Gang Xiang (CoRR, 2013)

Towards fast and accurate algorithms for processing fuzzy data: interval computations revisited. - Gang Xiang; Vladik Kreinovich (Int. J. Gen. Syst., 2013)

Noise-robust Named Entity Understanding for Virtual Assistants. - Deepak Muralidharan; Joel Ruben Antony Moniz; Sida Gao; Xiao Yang; Lin Li; Justine T. Kao; Stephen Pulman; Atish Kothari; Ray Shen; Yinying Pan; Vivek Kaul; Mubarak Seyed Ibrahim; et al. (CoRR, 2020)

A Method Based on Correlation Analysis of the Assembly Process and Neural Network for Precision Prediction of the Inertial Platform. - Langfu Cui; Lin Wang; Gang Xiang; Qingzhen Zhang; Chenggang Bai; Jianbing Yang (ICCBDC, 2021)

Noise Robust Named Entity Understanding for Voice Assistants. - Deepak Muralidharan; Joel Ruben Antony Moniz; Sida Gao; Xiao Yang; Justine T. Kao; Stephen Pulman; Atish Kothari; Ray Shen; Yinying Pan; Vivek Kaul; Mubarak Seyed Ibrahim; Gang Xiang; et al. (NAACL-HLT (Industry Papers), 2021)

Robust Anomaly Detection for Multivariate Data of Spacecraft Through Recurrent Neural Networks and Extreme Value Theory. - Gang Xiang; Ruishi Lin (IEEE Access, 2021)

A Statistical Feature-Based Anomaly Detection Method for PFC Using Canonical Correlation Analysis. - Cuiyu Liu; Zhiming Yang 001; Gang Xiang; Yang Yu 015 (IEEE Trans. Instrum. Meas., 2022)

Zero-Shot Learning Based on Quality-Verifying Adversarial Network. - Siyang Deng; Gang Xiang; Quanxue Gao; Wei Xia; Xinbo Gao 001 (IEEE Trans. Multim., 2022)

Fault Prognostics for Machinery with Multi-Degradation Stage Based on Deep Residual Network and Multi-Task Learning. - Mingxian Wang; Langfu Cui; Jiahe Jiang; Junle Wang; Yang Jin; Gang Xiang; Jianbing Yang; Ruishi Lin (SAFEPROCESS, 2023)

Safety Assessment of Liquid Launch Vehicle Structures Based on Interpretable Belief Rule Base. - Gang Xiang; Xiaoyu Cheng; Wei He 008; Peng Han (Comput. Syst. Sci. Eng., 2023)

A method for measuring similarity of time series based on series decomposition and dynamic time warping. - Qingzhen Zhang; Chaoqi Zhang 005; Langfu Cui; Xiaoxuan Han; Yang Jin; Gang Xiang; Yan Shi (Appl. Intell., 2023)

Adaptive Anomaly Detection in Industrial Systems: An EVT-DTS Approach with LSTM Autoencoders. - Bing Yu; Jiakai Xu; Gang Xiang; Ruishi Lin; LiGuo Zhao; Yang Yu 015 (I2MTC, 2024)

Triple Attention: An Integrated Approach for Interpretable Anomaly Detection in Temporal and Association Dimensions. - Bing Yu; Yang Yu 015; Gang Xiang; Ruishi Lin (IEEE Trans. Instrum. Meas., 2024)

MAG: A Novel Approach for Effective Anomaly Detection in Spacecraft Telemetry Data. - Bing Yu; Yang Yu 015; Jiakai Xu; Gang Xiang; Zhiming Yang 001 (IEEE Trans. Ind. Informatics, 2024)

GMVE: Graph-Mamba variational encoder for interpretable remaining useful life prediction with uncertainty quantification. - Bing Yu; Zhiming Yang 001; Yang Yu 015; Gang Xiang (Knowl. Based Syst., 2025)

From Seen to Unseen: Harnessing Temporal Dependencies and Graph Structures for Zero-Sample Fault Diagnosis in Industrial Systems. - Bing Yu; Zhiming Yang 001; Yang Yu 015; Gang Xiang (IEEE Trans. Instrum. Meas., 2025)