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2020 – today
- 2024
[j18]Bing Yu
, Yang Yu, Jiakai Xu, Gang Xiang, Zhiming Yang:
MAG: A Novel Approach for Effective Anomaly Detection in Spacecraft Telemetry Data. IEEE Trans. Ind. Informatics 20(3): 3891-3899 (2024)- [j17]Bing Yu, Yang Yu, Gang Xiang, Ruishi Lin:
Triple Attention: An Integrated Approach for Interpretable Anomaly Detection in Temporal and Association Dimensions. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [c13]Bing Yu, Jiakai Xu, Gang Xiang, Ruishi Lin, LiGuo Zhao, Yang Yu:
Adaptive Anomaly Detection in Industrial Systems: An EVT-DTS Approach with LSTM Autoencoders. I2MTC 2024: 1-6 - 2023
- [j16]Qingzhen Zhang, Chaoqi Zhang, Langfu Cui, Xiaoxuan Han, Yang Jin, Gang Xiang, Yan Shi:
A method for measuring similarity of time series based on series decomposition and dynamic time warping. Appl. Intell. 53(6): 6448-6463 (2023) - [j15]Gang Xiang, Xiaoyu Cheng, Wei He, Peng Han:
Safety Assessment of Liquid Launch Vehicle Structures Based on Interpretable Belief Rule Base. Comput. Syst. Sci. Eng. 47(1): 273-298 (2023) - [c12]Mingxian Wang, Langfu Cui, Jiahe Jiang, Junle Wang, Yang Jin, Gang Xiang, Jianbing Yang, Ruishi Lin:
Fault Prognostics for Machinery with Multi-Degradation Stage Based on Deep Residual Network and Multi-Task Learning. SAFEPROCESS 2023: 1-5 - 2022
- [j14]Cuiyu Liu, Zhiming Yang, Gang Xiang, Yang Yu:
A Statistical Feature-Based Anomaly Detection Method for PFC Using Canonical Correlation Analysis. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j13]Siyang Deng, Gang Xiang, Quanxue Gao, Wei Xia, Xinbo Gao:
Zero-Shot Learning Based on Quality-Verifying Adversarial Network. IEEE Trans. Multim. 24: 4526-4537 (2022) - 2021
- [j12]Gang Xiang, Ruishi Lin:
Robust Anomaly Detection for Multivariate Data of Spacecraft Through Recurrent Neural Networks and Extreme Value Theory. IEEE Access 9: 167447-167457 (2021) - [c11]Langfu Cui, Lin Wang, Gang Xiang, Qingzhen Zhang, Chenggang Bai, Jianbing Yang:
A Method Based on Correlation Analysis of the Assembly Process and Neural Network for Precision Prediction of the Inertial Platform. ICCBDC 2021: 57-62 - [c10]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:
Noise Robust Named Entity Understanding for Voice Assistants. NAACL-HLT (Industry Papers) 2021: 196-204 - 2020
- [i2]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:
Noise-robust Named Entity Understanding for Virtual Assistants. CoRR abs/2005.14408 (2020)
2010 – 2019
- 2013
- [j11]Gang Xiang, Vladik Kreinovich:
Towards fast and accurate algorithms for processing fuzzy data: interval computations revisited. Int. J. Gen. Syst. 42(2): 197-223 (2013) - [c9]Gang Xiang, Vladik Kreinovich:
Data anonymization that leads to the most accurate estimates of statistical characteristics. CIES 2013: 163-170 - [i1]Kaihua Ji, Jiawei Liu, Gang Xiang:
Anti-rumor dynamics and rumor control strategies on complex network. CoRR abs/1310.7198 (2013) - 2012
- [b1]Hung T. Nguyen, Vladik Kreinovich, Berlin Wu, Gang Xiang:
Computing Statistics under Interval and Fuzzy Uncertainty - Applications to Computer Science and Engineering. Studies in Computational Intelligence 393, Springer 2012 - 2011
- [j10]Vladik Kreinovich, Gang Xiang, Michael Oberguggenberger:
How to define a confidence set for functions: a new justification of the area method. Int. J. Gen. Syst. 40(7): 727-739 (2011) - [j9]Karen Villaverde, Gang Xiang:
Estimating Variance under Interval and Fuzzy Uncertainty: Parallel Algorithms. Reliab. Comput. 15(1): 60-68 (2011) - 2010
- [j8]Vladik Kreinovich, Gang Xiang:
Estimating information amount under uncertainty: algorithmic solvability and computational complexity. Int. J. Gen. Syst. 39(4): 349-378 (2010) - [c8]Gang Xiang, Vladik Kreinovich:
Towards improved trapezoidal approximation to intersection (fusion) of trapezoidal fuzzy numbers: Specific procedure and general non-associativity theorem. FUZZ-IEEE 2010: 1-6
2000 – 2009
- 2008
- [c7]Jingtao Yao, Yiyu Yao, Vladik Kreinovich, Paulo Pinheiro da Silva, Scott A. Starks, Gang Xiang, Hung T. Nguyen:
Towards more adequate representation of uncertainty: From intervals to set intervals, with the possible addition of probabilities and certainty degrees. FUZZ-IEEE 2008: 983-990 - [c6]Karen Villaverde, Gang Xiang:
Estimating variance under interval and fuzzy uncertainty: Parallel algorithms. FUZZ-IEEE 2008: 1030-1033 - [p1]Vladik Kreinovich, Gang Xiang:
Fast Algorithms for Computing Statistics under Interval Uncertainty: An Overview. Interval / Probabilistic Uncertainty and Non-Classical Logics 2008: 19-31 - 2007
- [j7]Daniel Berleant, Martine Ceberio, Gang Xiang, Vladik Kreinovich:
Towards adding probabilities and correlations to interval computations. Int. J. Approx. Reason. 46(3): 499-510 (2007) - [j6]Gang Xiang, Martine Ceberio, Vladik Kreinovich:
Computing Population Variance and Entropy under Interval Uncertainty: Linear-Time Algorithms. Reliab. Comput. 13(6): 467-488 (2007) - [c5]Gang Xiang, Vladik Kreinovich:
Estimating Variance Under Interval and Fuzzy Uncertainty: Case of Hierarchical Estimation. IFSA (1) 2007: 3-12 - [c4]Hongli Wu, Baolin Yin, Xia Zhao, Gang Xiang:
Data description and data access mechanism in distributed workflow system. Infoscale 2007: 21 - 2006
- [j5]Vladik Kreinovich, Gang Xiang, Scott Ferson:
Computing mean and variance under Dempster-Shafer uncertainty: Towards faster algorithms. Int. J. Approx. Reason. 42(3): 212-227 (2006) - [j4]Gang Xiang:
Fast Algorithm for Computing the Upper Endpoint of Sample Variance for Interval Data: Case of Sufficiently Accurate Measurements. Reliab. Comput. 12(1): 59-64 (2006) - [j3]Vladik Kreinovich, François Modave, Scott A. Starks, Gang Xiang:
Towards Real World Applications: Interval-Related Talks at NAFIPS'05. Reliab. Comput. 12(1): 73-77 (2006) - [j2]Evgeny Dantsin, Vladik Kreinovich, Alexander Wolpert, Gang Xiang:
Population Variance under Interval Uncertainty: A New Algorithm. Reliab. Comput. 12(4): 273-280 (2006) - [j1]Vladik Kreinovich, Gang Xiang, Scott A. Starks, Luc Longpré, Martine Ceberio, Roberto Araiza, Jan Beck, Raj Kandathi, Asis Nayak, Roberto Torres, Janos G. Hajagos:
Towards Combining Probabilistic and Interval Uncertainty in Engineering Calculations: Algorithms for Computing Statistics under Interval Uncertainty, and Their Computational Complexity. Reliab. Comput. 12(6): 471-501 (2006) - [c3]Hongli Wu, Baolin Yin, Xia Zhao, Gang Xiang:
A Workflow Model Supporting Flexible Process Based on Extensible Organization. APSCC 2006: 640-645 - [c2]Michael Orshansky, Wei-Shen Wang, Martine Ceberio, Gang Xiang:
Interval-based robust statistical techniques for non-negative convex functions, with application to timing analysis of computer chips. SAC 2006: 1645-1649 - 2004
- [c1]Gang Xiang, Scott A. Starks, Vladik Kreinovich, Luc Longpré:
New Algorithms for Statistical Analysis of Interval Data. PARA 2004: 189-196
Coauthor Index
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