Gang Xiang

According to our database, Gang Xiang authored at least 34 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

MAG: A Novel Approach for Effective Anomaly Detection in Spacecraft Telemetry Data.

Bing Yu, Yang Yu, Jiakai Xu, Gang Xiang, Zhiming Yang

IEEE Trans. Ind. Informatics, March, 2024

Triple Attention: An Integrated Approach for Interpretable Anomaly Detection in Temporal and Association Dimensions.

Bing Yu, Yang Yu, Gang Xiang, Ruishi Lin

IEEE Trans. Instrum. Meas., 2024

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

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

2023

A method for measuring similarity of time series based on series decomposition and dynamic time warping.

Qingzhen Zhang, Chaoqi Zhang, Langfu Cui, Xiaoxuan Han, Yang Jin, Gang Xiang, Yan Shi

Appl. Intell., March, 2023

Safety Assessment of Liquid Launch Vehicle Structures Based on Interpretable Belief Rule Base.

Gang Xiang, Xiaoyu Cheng, Wei He, Peng Han

Comput. Syst. Sci. Eng., 2023

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

Proceedings of the CAA Symposium on Fault Detection, 2023

2022

Zero-Shot Learning Based on Quality-Verifying Adversarial Network.

Siyang Deng, Gang Xiang, Quanxue Gao, Wei Xia, Xinbo Gao

IEEE Trans. Multim., 2022

A Statistical Feature-Based Anomaly Detection Method for PFC Using Canonical Correlation Analysis.

Cuiyu Liu, Zhiming Yang, Gang Xiang, Yang Yu

IEEE Trans. Instrum. Meas., 2022

2021

Robust Anomaly Detection for Multivariate Data of Spacecraft Through Recurrent Neural Networks and Extreme Value Theory.

Gang Xiang, Ruishi Lin

IEEE Access, 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, Nan Dun, Yidan Zhou, Andy O, Yuan Zhang, Pooja Chitkara, Xuan Wang, Alkesh Patel, Kushal Tayal, Roger Zheng, Peter Grasch, Jason D. Williams, Lin Li

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

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

Proceedings of the ICCBDC 2021: 5th International Conference on Cloud and Big Data Computing, Liverpool, United Kingdom, August 13, 2021

2020

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, Gang Xiang, Nan Dun, Yidan Zhou, Andy O, Yuan Zhang, Pooja Chitkara, Xuan Wang, Alkesh Patel, Kushal Tayal, Roger Zheng, Peter Grasch, Jason D. Williams

CoRR, 2020

2013

Towards fast and accurate algorithms for processing fuzzy data: interval computations revisited.

Gang Xiang, Vladik Kreinovich

Int. J. Gen. Syst., 2013

Anti-rumor dynamics and rumor control strategies on complex network.

Kaihua Ji, Jiawei Liu, Gang Xiang

CoRR, 2013

Data anonymization that leads to the most accurate estimates of statistical characteristics.

Gang Xiang, Vladik Kreinovich

Proceedings of the IEEE Symposium on Computational Intelligence for Engineering Solutions, 2013

2012

Computing Statistics under Interval and Fuzzy Uncertainty - Applications to Computer Science and Engineering

Hung T. Nguyen, Vladik Kreinovich, Berlin Wu, Gang Xiang

Studies in Computational Intelligence 393, Springer, 2012

2011

Estimating Variance under Interval and Fuzzy Uncertainty: Parallel Algorithms.

Karen Villaverde, Gang Xiang

Reliab. Comput., 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

2010

Estimating information amount under uncertainty: algorithmic solvability and computational complexity.

Vladik Kreinovich, Gang Xiang

Int. J. Gen. Syst., 2010

Towards improved trapezoidal approximation to intersection (fusion) of trapezoidal fuzzy numbers: Specific procedure and general non-associativity theorem.

Gang Xiang, Vladik Kreinovich

Proceedings of the FUZZ-IEEE 2010, 2010

2008

Fast Algorithms for Computing Statistics under Interval Uncertainty: An Overview.

Vladik Kreinovich, Gang Xiang

Proceedings of the Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008

Towards more adequate representation of uncertainty: From intervals to set intervals, with the possible addition of probabilities and certainty degrees.

Jingtao Yao, Yiyu Yao, Vladik Kreinovich, Paulo Pinheiro da Silva, Scott A. Starks, Gang Xiang, Hung T. Nguyen

Proceedings of the FUZZ-IEEE 2008, 2008

2007

Computing Population Variance and Entropy under Interval Uncertainty: Linear-Time Algorithms.

Gang Xiang, Martine Ceberio, Vladik Kreinovich

Reliab. Comput., 2007

Towards adding probabilities and correlations to interval computations.

Daniel Berleant, Martine Ceberio, Gang Xiang, Vladik Kreinovich

Int. J. Approx. Reason., 2007

Data description and data access mechanism in distributed workflow system.

Hongli Wu, Baolin Yin, Xia Zhao, Gang Xiang

Proceedings of the 2nf International Conference on Scalable Information Systems, 2007

Estimating Variance Under Interval and Fuzzy Uncertainty: Case of Hierarchical Estimation.

Gang Xiang, Vladik Kreinovich

Proceedings of the Foundations of Fuzzy Logic and Soft Computing, 2007

2006

Fast Algorithm for Computing the Upper Endpoint of Sample Variance for Interval Data: Case of Sufficiently Accurate Measurements.

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

Towards Real World Applications: Interval-Related Talks at NAFIPS'05.

Vladik Kreinovich, François Modave, Scott A. Starks, Gang Xiang

Reliab. Comput., 2006

Population Variance under Interval Uncertainty: A New Algorithm.

Evgeny Dantsin, Vladik Kreinovich, Alexander Wolpert, Gang Xiang

Reliab. Comput., 2006

Computing mean and variance under Dempster-Shafer uncertainty: Towards faster algorithms.

Vladik Kreinovich, Gang Xiang, Scott Ferson

Int. J. Approx. Reason., 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

Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

A Workflow Model Supporting Flexible Process Based on Extensible Organization.

Hongli Wu, Baolin Yin, Xia Zhao, Gang Xiang

Proceedings of The 1st IEEE Asia-Pacific Services Computing Conference, 2006

2004

New Algorithms for Statistical Analysis of Interval Data.

Gang Xiang, Scott A. Starks, Vladik Kreinovich, Luc Longpré

Proceedings of the Applied Parallel Computing, 2004