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2020 – today
- 2024
- [j49]Jingwen Song, Yifan Cui, Pengfei Wei, Marcos A. Valdebenito, Weihong Zhang:
Constrained Bayesian optimization algorithms for estimating design points in structural reliability analysis. Reliab. Eng. Syst. Saf. 241: 109613 (2024) - [j48]Ruichu Cai, Fengzhu Wu, Zijian Li, Pengfei Wei, Lingling Yi, Kun Zhang:
Graph Domain Adaptation: A Generative View. ACM Trans. Knowl. Discov. Data 18(3): 60:1-60:24 (2024) - [c38]Peng Tang, Zhiqiang Xu, Chunlai Zhou, Pengfei Wei, Peng Han, Xin Cao, Tobias Lasser:
Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring. AAAI 2024: 5145-5153 - 2023
- [j47]Zhuangkai Yao, Bi Zeng, Huiting Hu, Pengfei Wei:
The implicit mathematical reasoning model combining self-attention and convolution. J. Intell. Fuzzy Syst. 45(1): 975-988 (2023) - [j46]Mo Wang, Kexin Lou, Zeming Liu, Pengfei Wei, Quanying Liu:
Multi-objective optimization via evolutionary algorithm (MOVEA) for high-definition transcranial electrical stimulation of the human brain. NeuroImage 280: 120331 (2023) - [j45]Pengfei Wei, Thanh Vinh Vo, Xinghua Qu, Yew Soon Ong, Zejun Ma:
Transfer Kernel Learning for Multi-Source Transfer Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3862-3876 (2023) - [j44]Pengfei Wei, Yiping Ke, Yew-Soon Ong, Zejun Ma:
Adaptive Transfer Kernel Learning for Transfer Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7142-7156 (2023) - [j43]Pengfei Wei, Yu Zheng, Jiangfeng Fu, Yuannan Xu, Weikai Gao:
An expected integrated error reduction function for accelerating Bayesian active learning of failure probability. Reliab. Eng. Syst. Saf. 231: 108971 (2023) - [j42]Junkai Sun, Zezhou Sun, Pengfei Wei, Bin Liu, Yaobing Wang, Tianyi Zhang, Chuliang Yan:
Path Planning Algorithm for a Wheel-Legged Robot Based on the Theta* and Timed Elastic Band Algorithms. Symmetry 15(5): 1091 (2023) - [c37]Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang:
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. AAAI 2023: 11372-11380 - [c36]Haibiao Yang, Bi Zeng, Pengfei Wei, Jianqi Liu:
BFC-BL: Few-Shot Classification and Segmentation combining Bi-directional Feature Correlation and Boundary constraint. BMVC 2023: 676 - [c35]Zhi Li, Pengfei Wei, Xiang Yin, Zejun Ma, Alex C. Kot:
Virtual Try-On with Pose-Garment Keypoints Guided Inpainting. ICCV 2023: 22731-22740 - [c34]Qingpeng Wen, Bi Zeng, Pengfei Wei, Huiting Hu:
A Deep Joint Model of Multi-scale Intent-Slots Interaction with Second-Order Gate for SLU. ICONIP (12) 2023: 42-54 - [c33]Xinjie Liang, Wen Song, Pengfei Wei:
Dynamic Job Shop Scheduling via Deep Reinforcement Learning. ICTAI 2023: 369-376 - [c32]Xinghua Qu, Xiang Yin, Pengfei Wei, Lu Lu, Zejun Ma:
AudioQR: Deep Neural Audio Watermarks For QR Code. IJCAI 2023: 6192-6200 - [c31]Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu, Jing Jiang, Xiang Yin:
Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective. NeurIPS 2023 - [i20]Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang:
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. CoRR abs/2303.07693 (2023) - [i19]Ziyue Jiang, Jinglin Liu, Yi Ren, Jinzheng He, Chen Zhang, Zhenhui Ye, Pengfei Wei, Chunfeng Wang, Xiang Yin, Zejun Ma, Zhou Zhao:
Mega-TTS 2: Zero-Shot Text-to-Speech with Arbitrary Length Speech Prompts. CoRR abs/2307.07218 (2023) - [i18]Peng Tang, Zhiqiang Xu, Pengfei Wei, Xiaobin Hu, Peilin Zhao, Xin Cao, Chunlai Zhou, Tobias Lasser:
SR-R2KAC: Improving Single Image Defocus Deblurring. CoRR abs/2307.16242 (2023) - [i17]Longbin Ji, Pengfei Wei, Yi Ren, Jinglin Liu, Chen Zhang, Xiang Yin:
C2G2: Controllable Co-speech Gesture Generation with Latent Diffusion Model. CoRR abs/2308.15016 (2023) - 2022
- [j41]Wenxiong Liao, Bi Zeng, Jianqi Liu, Pengfei Wei, Jiongkun Fang:
Image-text interaction graph neural network for image-text sentiment analysis. Appl. Intell. 52(10): 11184-11198 (2022) - [j40]Wenxiong Liao, Bi Zeng, Jianqi Liu, Pengfei Wei, Xiaochun Cheng:
Taxi demand forecasting based on the temporal multimodal information fusion graph neural network. Appl. Intell. 52(10): 12077-12090 (2022) - [j39]Zhonghao Zhang, Qiqiang Li, Wen Song, Pengfei Wei, Jing Guo:
A novel concavity based method for automatic segmentation of touching cells in microfluidic chips. Expert Syst. Appl. 202: 117432 (2022) - [j38]Fei Wu, Xiao-Yuan Jing, Pengfei Wei, Chao Lan, Yimu Ji, Guo-Ping Jiang, Qinghua Huang:
Semi-supervised multi-view graph convolutional networks with application to webpage classification. Inf. Sci. 591: 142-154 (2022) - [j37]Pengfei Wei, Bi Zeng, Wenxiong Liao:
Joint intent detection and slot filling with wheel-graph attention networks. J. Intell. Fuzzy Syst. 42(3): 2409-2420 (2022) - [j36]Fei Wu, Pengfei Wei, Guangwei Gao, Chang-Hui Hu, Qi Ge, Xiao-Yuan Jing:
Dual-aligned unsupervised domain adaptation with graph convolutional networks. Multim. Tools Appl. 81(11): 14979-14997 (2022) - [j35]Chao Dang, Pengfei Wei, Matthias G. R. Faes, Marcos A. Valdebenito, Michael Beer:
Parallel adaptive Bayesian quadrature for rare event estimation. Reliab. Eng. Syst. Saf. 225: 108621 (2022) - [j34]Pengfei Wei, Fei Wu, Ying Sun, Hong Zhou, Xiao-Yuan Jing:
Modality and Event Adversarial Networks for Multi-Modal Fake News Detection. IEEE Signal Process. Lett. 29: 1382-1386 (2022) - [j33]Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong:
Subdomain Adaptation With Manifolds Discrepancy Alignment. IEEE Trans. Cybern. 52(11): 11698-11708 (2022) - [j32]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong:
Easy-But-Effective Domain Sub-Similarity Learning for Transfer Regression. IEEE Trans. Knowl. Data Eng. 34(9): 4161-4171 (2022) - [c30]Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong:
Adaptive Multi-Source Causal Inference from Observational Data. CIKM 2022: 1975-1985 - [c29]Pengfei Wei, Xinghua Qu, Wen Song, Zejun Ma:
Dynamic Transfer Gaussian Process Regression. CIKM 2022: 2118-2127 - [c28]Yizhou Lu, Mingkun Huang, Xinghua Qu, Pengfei Wei, Zejun Ma:
Language Adaptive Cross-Lingual Speech Representation Learning with Sparse Sharing Sub-Networks. ICASSP 2022: 6882-6886 - [c27]Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma:
Importance Prioritized Policy Distillation. KDD 2022: 1420-1429 - [c26]Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew Soon Ong, Zejun Ma:
Synthesising Audio Adversarial Examples for Automatic Speech Recognition. KDD 2022: 1430-1440 - [i16]Yizhou Lu, Mingkun Huang, Xinghua Qu, Pengfei Wei, Zejun Ma:
Language Adaptive Cross-lingual Speech Representation Learning with Sparse Sharing Sub-networks. CoRR abs/2203.04583 (2022) - [i15]Pengfei Wei, Lingdong Kong, Xinghua Qu, Xiang Yin, Zhiqiang Xu, Jing Jiang, Zejun Ma:
Unsupervised Video Domain Adaptation: A Disentanglement Perspective. CoRR abs/2208.07365 (2022) - [i14]Mo Wang, Kexin Lou, Zeming Liu, Pengfei Wei, Quanying Liu:
Multi-objective optimization via evolutionary algorithm (MOVEA) for high-definition transcranial electrical stimulation of the human brain. CoRR abs/2211.05658 (2022) - 2021
- [j31]Matthias G. R. Faes, Marcos A. Valdebenito, Xiukai Yuan, Pengfei Wei, Michael Beer:
Augmented reliability analysis for estimating imprecise first excursion probabilities in stochastic linear dynamics. Adv. Eng. Softw. 155: 102993 (2021) - [j30]Wenxiong Liao, Bi Zeng, Xiuwen Yin, Pengfei Wei:
An improved aspect-category sentiment analysis model for text sentiment analysis based on RoBERTa. Appl. Intell. 51(6): 3522-3533 (2021) - [j29]Wenxiong Liao, Bi Zeng, Jianqi Liu, Pengfei Wei, Xiaochun Cheng, Weiwen Zhang:
Multi-level graph neural network for text sentiment analysis. Comput. Electr. Eng. 92: 107096 (2021) - [j28]Marcos A. Valdebenito, Pengfei Wei, Jingwen Song, Michael Beer, Matteo Broggi:
Failure probability estimation of a class of series systems by multidomain Line Sampling. Reliab. Eng. Syst. Saf. 213: 107673 (2021) - [j27]Qi Chang, Changcong Zhou, Pengfei Wei, Yishang Zhang, Zhufeng Yue:
A new non-probabilistic time-dependent reliability model for mechanisms with interval uncertainties. Reliab. Eng. Syst. Saf. 215: 107771 (2021) - [j26]Julian Salomon, Niklas Winnewisser, Pengfei Wei, Matteo Broggi, Michael Beer:
Efficient reliability analysis of complex systems in consideration of imprecision. Reliab. Eng. Syst. Saf. 216: 107972 (2021) - [j25]Xinghua Qu, Zhu Sun, Yew-Soon Ong, Abhishek Gupta, Pengfei Wei:
Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies. IEEE Trans. Cogn. Dev. Syst. 13(4): 806-817 (2021) - [j24]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong:
Practical Multisource Transfer Regression With Source-Target Similarity Captures. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3498-3509 (2021) - [c25]Pengfei Wei, Yong Zhang, Ling Yue, Jialu Xu:
A Deep Learning Malicious Code Classification Method Combined with Texture Feature Extraction GSINET. AIPR 2021: 83-90 - [c24]Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong:
Causal Modeling with Stochastic Confounders. AISTATS 2021: 3025-3033 - [c23]Sixian Song, Jiajia Zhang, Yi Tian, Liping Wang, Pengfei Wei:
Temporal Interference Stimulation Regulates Eye Movements and Neural Activity in the Mice Superior Colliculus*. EMBC 2021: 6231-6234 - [c22]Fei Wu, Xiaokai Luo, Qinghua Huang, Pengfei Wei, Ying Sun, Xiwei Dong, Zhiyong Wu:
Semantic Preserving Generative Adversarial Network For Cross-Modal Hashing. ICIP 2021: 2743-2747 - [c21]Ling Yue, Yong Zhang, Pengfei Wei:
Euclidean and Rapid Jacobian-based Saliency Maps Attacks. ISKE 2021: 355-361 - [i13]Pengfei Wei, Bi Zeng, Wenxiong Liao:
Joint Intent Detection and Slot Filling with Wheel-Graph Attention Networks. CoRR abs/2102.04610 (2021) - [i12]Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong:
Adaptive Multi-Source Causal Inference. CoRR abs/2105.14877 (2021) - [i11]Ruichu Cai, Fengzhu Wu, Zijian Li, Pengfei Wei, Lingling Yi, Kun Zhang:
Graph Domain Adaptation: A Generative View. CoRR abs/2106.07482 (2021) - [i10]Zhining Liu, Zhepei Wei, Erxin Yu, Qiang Huang, Kai Guo, Boyang Yu, Zhaonian Cai, Hangting Ye, Wei Cao, Jiang Bian, Pengfei Wei, Jing Jiang, Yi Chang:
IMBENS: Ensemble Class-imbalanced Learning in Python. CoRR abs/2111.12776 (2021) - [i9]Zhining Liu, Pengfei Wei, Zhepei Wei, Boyang Yu, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang:
Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning. CoRR abs/2111.12791 (2021) - 2020
- [j23]Jingwen Song, Zhenzhou Lu, Pengfei Wei:
Measuring regional effects of model inputs with random Forest. Commun. Stat. Simul. Comput. 49(9): 2444-2461 (2020) - [j22]Zhiqiang Xu, Yiping Ke, Xin Cao, Chunlai Zhou, Pengfei Wei, Xin Gao:
A unified linear convergence analysis of k-SVD. Memetic Comput. 12(4): 343-353 (2020) - [c20]Pengfei Wei, Xinghua Qu, Yiping Ke, Tze-Yun Leong, Yew-Soon Ong:
Adaptive Knowledge Transfer based on Transfer Neural Kernel Network. AAMAS 2020: 1485-1493 - [c19]Han Zheng, Jing Jiang, Pengfei Wei, Guodong Long, Chengqi Zhang:
Competitive and Cooperative Heterogeneous Deep Reinforcement Learning. AAMAS 2020: 1656-1664 - [c18]Pengfei Wei, Xiaonian Wang, Yafeng Guo:
3D-LIDAR Feature Based Localization for Autonomous Vehicles. CASE 2020: 288-293 - [c17]Pengfei Wei, Yiping Ke, Zhiqiang Xu, Tze-Yun Leong:
Succinct Adaptive Manifold Transfer. CIKM 2020: 1615-1624 - [c16]Pengfei Wei, Tze-Yun Leong:
Randomized Transferable Machine. ICPR 2020: 8711-8718 - [c15]Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang:
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. NeurIPS 2020 - [c14]Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang:
Cooperative Heterogeneous Deep Reinforcement Learning. NeurIPS 2020 - [i8]Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong:
A Causal Modeling Framework with Stochastic Confounders. CoRR abs/2004.11497 (2020) - [i7]Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong:
Subdomain Adaptation with Manifolds Discrepancy Alignment. CoRR abs/2005.03229 (2020) - [i6]Xinyi Xu, Tiancheng Huang, Pengfei Wei, Akshay Narayan, Tze-Yun Leong:
Hierarchial Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection. CoRR abs/2008.03444 (2020) - [i5]Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang:
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. CoRR abs/2010.08830 (2020) - [i4]Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang:
Cooperative Heterogeneous Deep Reinforcement Learning. CoRR abs/2011.00791 (2020) - [i3]Pengfei Wei, Tze-Yun Leong:
Randomized Transferable Machine. CoRR abs/2011.13629 (2020) - [i2]Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao:
Learning Disentangled Semantic Representation for Domain Adaptation. CoRR abs/2012.11807 (2020)
2010 – 2019
- 2019
- [j21]Xiurui Xie, Guisong Liu, Qing Cai, Pengfei Wei, Hong Qu:
Multi-source sequential knowledge regression by using transfer RNN units. Neural Networks 119: 151-161 (2019) - [j20]Yulong Wang, Xingang Xu, Linsheng Huang, Guijun Yang, Lingling Fan, Pengfei Wei, Guo Chen:
An Improved CASA Model for Estimating Winter Wheat Yield from Remote Sensing Images. Remote. Sens. 11(9): 1088 (2019) - [j19]Fuchao Liu, Pengfei Wei, Chenghu Tang, Pan Wang, Zhufeng Yue:
Global sensitivity analysis for multivariate outputs based on multiple response Gaussian process model. Reliab. Eng. Syst. Saf. 189: 287-298 (2019) - [j18]Lingling Fan, Jinling Zhao, Xingang Xu, Dong Liang, Guijun Yang, Haikuan Feng, Hao Yang, Yulong Wang, Guo Chen, Pengfei Wei:
Hyperspectral-Based Estimation of Leaf Nitrogen Content in Corn Using Optimal Selection of Multiple Spectral Variables. Sensors 19(13): 2898 (2019) - [j17]Pengfei Wei, Yiping Ke, Chi Keong Goh:
A General Domain Specific Feature Transfer Framework for Hybrid Domain Adaptation. IEEE Trans. Knowl. Data Eng. 31(8): 1440-1451 (2019) - [j16]Pengfei Wei, Yiping Ke, Chi Keong Goh:
Feature Analysis of Marginalized Stacked Denoising Autoenconder for Unsupervised Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1321-1334 (2019) - [c13]Pengfei Wei, Yiping Ke:
Knowledge Transfer based on Multiple Manifolds Assumption. CIKM 2019: 279-287 - [c12]Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao:
Learning Disentangled Semantic Representation for Domain Adaptation. IJCAI 2019: 2060-2066 - [c11]Longxue He, Michael Beer, Matteo Broggi, Pengfei Wei, António Topa Gomes:
Sensitivity analysis of prior beliefs in advanced Bayesian networks. SSCI 2019: 776-783 - [i1]Xinghua Qu, Zhu Sun, Yew-Soon Ong, Pengfei Wei, Abhishek Gupta:
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy. CoRR abs/1911.03849 (2019) - 2018
- [b1]Pengfei Wei:
Domain adaptation: methods and applications. Nanyang Technological University, Singapore, 2018 - [j15]Pengfei Wei, Fuchao Liu, Zhenzhou Lu, Zuotao Wang:
A probabilistic procedure for quantifying the relative importance of model inputs characterized by second-order probability models. Int. J. Approx. Reason. 98: 78-95 (2018) - [j14]Pengfei Wei, Fuchao Liu, Chenghu Tang:
Reliability and reliability-based importance analysis of structural systems using multiple response Gaussian process model. Reliab. Eng. Syst. Saf. 175: 183-195 (2018) - [c10]Yinhe Sheng, Kang Huang, Liping Wang, Pengfei Wei:
The Optimal Number and Distribution of Channels in Mental Fatigue Classification Based on GA-SVM. ICBRA 2018: 34-39 - [c9]Tianbo Li, Pengfei Wei, Yiping Ke:
Transfer Hawkes Processes with Content Information. ICDM 2018: 1116-1121 - [c8]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong:
Uncluttered Domain Sub-Similarity Modeling for Transfer Regression. ICDM 2018: 1314-1319 - 2017
- [c7]Pengfei Wei, Yiping Ke, Chi-Keong Goh:
Domain Specific Feature Transfer for Hybrid Domain Adaptation. ICDM 2017: 1027-1032 - [c6]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong, Chi-Keong Goh:
Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression. ICML 2017: 3722-3731 - 2016
- [j13]Pengfei Wei, Jingwen Song, Zhenzhou Lu, Zhufeng Yue:
Time-dependent reliability sensitivity analysis of motion mechanisms. Reliab. Eng. Syst. Saf. 149: 107-120 (2016) - [c5]Pengfei Wei, Yiping Ke, Chi Keong Goh:
Deep Nonlinear Feature Coding for Unsupervised Domain Adaptation. IJCAI 2016: 2189-2195 - 2015
- [j12]Pengfei Wei, Zhenzhou Lu, Jingwen Song:
A comprehensive comparison of two variable importance analysis techniques in high dimensions: Application to an environmental multi-indicators system. Environ. Model. Softw. 70: 178-190 (2015) - [j11]Pengfei Wei, Zhenzhou Lu, Jingwen Song:
Regional and parametric sensitivity analysis of Sobol' indices. Reliab. Eng. Syst. Saf. 137: 87-100 (2015) - [j10]Pengfei Wei, Zhenzhou Lu, Jingwen Song:
Variable importance analysis: A comprehensive review. Reliab. Eng. Syst. Saf. 142: 399-432 (2015) - 2014
- [j9]Pengfei Wei, Zhenzhou Lu, Wenbin Ruan, Jingwen Song:
Regional sensitivity analysis using revised mean and variance ratio functions. Reliab. Eng. Syst. Saf. 121: 121-135 (2014) - [c4]Wei He, Pengfei Wei, Yi Zhou, Liping Wang:
Modulation effect of transcranial direct current stimulation on phase synchronization in motor imagery brain-computer interface. EMBC 2014: 1270-1273 - 2013
- [j8]Pengfei Wei, Zhenzhou Lu, Jingwen Song:
A new variance-based global sensitivity analysis technique. Comput. Phys. Commun. 184(11): 2540-2551 (2013) - [j7]Pengfei Wei, Zhenzhou Lu, Danqing Wu, Changcong Zhou:
Moment-independent regional sensitivity analysis: Application to an environmental model. Environ. Model. Softw. 47: 55-63 (2013) - [j6]Lijiang Chen, Xia Mao, Pengfei Wei, Angelo Compare:
Speech Emotional Features Extraction Based on Electroglottograph. Neural Comput. 25(12): 3294-3317 (2013) - [j5]Pengfei Wei, Zhenzhou Lu, Xiukai Yuan:
Discussion of paper by Ming Xu, Tao Chen and Xianhui Yang "The effect of parameter uncertainty on achieved safety integrity of safety system", Reliab. Eng. Syst. Saf., 99 (2012) 15-23. Reliab. Eng. Syst. Saf. 109: 3-4 (2013) - [j4]Pengfei Wei, Zhenzhou Lu, Xiukai Yuan:
Monte Carlo simulation for moment-independent sensitivity analysis. Reliab. Eng. Syst. Saf. 110: 60-67 (2013) - [j3]Wenrui Hao, Zhenzhou Lu, Pengfei Wei:
Uncertainty importance measure for models with correlated normal variables. Reliab. Eng. Syst. Saf. 112: 48-58 (2013) - [c3]Lijiang Chen, Xia Mao, Pengfei Wei, Angelo Compare:
Speech Synthesis Research Based on EGG. GreenCom/iThings/CPScom 2013: 1799-1803 - 2012
- [j2]Lijiang Chen, Xia Mao, Pengfei Wei, Yu-Li Xue, Mitsuru Ishizuka:
Mandarin emotion recognition combining acoustic and emotional point information. Appl. Intell. 37(4): 602-612 (2012) - [j1]Pengfei Wei, Zhenzhou Lu, Wenrui Hao, Jun Feng, Bintuan Wang:
Efficient sampling methods for global reliability sensitivity analysis. Comput. Phys. Commun. 183(8): 1728-1743 (2012) - [c2]Wei He, Pengfei Wei, Liping Wang, Yuexian Zou:
A novel EMD-based Common Spatial Pattern for motor imagery brain-computer interface. BHI 2012: 216-219 - [c1]Wei He, Pengfei Wei, Yi Zhou, Liping Wang:
Combination of amplitude and phase features under a uniform framework with EMD in EEG-based Brain-Computer Interface. EMBC 2012: 1687-1690
Coauthor Index
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