Pengfei Wei

Orcid: 0000-0001-8093-0803

According to our database1, Pengfei Wei authored at least 98 papers between 2012 and 2024.

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Bibliography

2024
Graph Domain Adaptation: A Generative View.
ACM Trans. Knowl. Discov. Data, April, 2024

Constrained Bayesian optimization algorithms for estimating design points in structural reliability analysis.
Reliab. Eng. Syst. Saf., January, 2024

Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multi-objective optimization via evolutionary algorithm (MOVEA) for high-definition transcranial electrical stimulation of the human brain.
NeuroImage, October, 2023

Adaptive Transfer Kernel Learning for Transfer Gaussian Process Regression.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Transfer Kernel Learning for Multi-Source Transfer Gaussian Process Regression.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Path Planning Algorithm for a Wheel-Legged Robot Based on the Theta* and Timed Elastic Band Algorithms.
Symmetry, 2023

An expected integrated error reduction function for accelerating Bayesian active learning of failure probability.
Reliab. Eng. Syst. Saf., 2023

The implicit mathematical reasoning model combining self-attention and convolution.
J. Intell. Fuzzy Syst., 2023

C2G2: Controllable Co-speech Gesture Generation with Latent Diffusion Model.
CoRR, 2023

SR-R<sup>2</sup>KAC: Improving Single Image Defocus Deblurring.
CoRR, 2023

Mega-TTS 2: Zero-Shot Text-to-Speech with Arbitrary Length Speech Prompts.
CoRR, 2023

Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AudioQR: Deep Neural Audio Watermarks For QR Code.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Dynamic Job Shop Scheduling via Deep Reinforcement Learning.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

A Deep Joint Model of Multi-scale Intent-Slots Interaction with Second-Order Gate for SLU.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Virtual Try-On with Pose-Garment Keypoints Guided Inpainting.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BFC-BL: Few-Shot Classification and Segmentation combining Bi-directional Feature Correlation and Boundary constraint.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

Adaptive Policy Learning for Offline-to-Online Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Easy-But-Effective Domain Sub-Similarity Learning for Transfer Regression.
IEEE Trans. Knowl. Data Eng., 2022

Subdomain Adaptation With Manifolds Discrepancy Alignment.
IEEE Trans. Cybern., 2022

Modality and Event Adversarial Networks for Multi-Modal Fake News Detection.
IEEE Signal Process. Lett., 2022

Parallel adaptive Bayesian quadrature for rare event estimation.
Reliab. Eng. Syst. Saf., 2022

Dual-aligned unsupervised domain adaptation with graph convolutional networks.
Multim. Tools Appl., 2022

Joint intent detection and slot filling with wheel-graph attention networks.
J. Intell. Fuzzy Syst., 2022

Semi-supervised multi-view graph convolutional networks with application to webpage classification.
Inf. Sci., 2022

A novel concavity based method for automatic segmentation of touching cells in microfluidic chips.
Expert Syst. Appl., 2022

Unsupervised Video Domain Adaptation: A Disentanglement Perspective.
CoRR, 2022

Image-text interaction graph neural network for image-text sentiment analysis.
Appl. Intell., 2022

Taxi demand forecasting based on the temporal multimodal information fusion graph neural network.
Appl. Intell., 2022

Synthesising Audio Adversarial Examples for Automatic Speech Recognition.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Importance Prioritized Policy Distillation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Language Adaptive Cross-Lingual Speech Representation Learning with Sparse Sharing Sub-Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022

Dynamic Transfer Gaussian Process Regression.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Adaptive Multi-Source Causal Inference from Observational Data.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Practical Multisource Transfer Regression With Source-Target Similarity Captures.
IEEE Trans. Neural Networks Learn. Syst., 2021

Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies.
IEEE Trans. Cogn. Dev. Syst., 2021

Failure probability estimation of a class of series systems by multidomain Line Sampling.
Reliab. Eng. Syst. Saf., 2021

Efficient reliability analysis of complex systems in consideration of imprecision.
Reliab. Eng. Syst. Saf., 2021

A new non-probabilistic time-dependent reliability model for mechanisms with interval uncertainties.
Reliab. Eng. Syst. Saf., 2021

Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning.
CoRR, 2021

IMBENS: Ensemble Class-imbalanced Learning in Python.
CoRR, 2021

Adaptive Multi-Source Causal Inference.
CoRR, 2021

Multi-level graph neural network for text sentiment analysis.
Comput. Electr. Eng., 2021

An improved aspect-category sentiment analysis model for text sentiment analysis based on RoBERTa.
Appl. Intell., 2021

Augmented reliability analysis for estimating imprecise first excursion probabilities in stochastic linear dynamics.
Adv. Eng. Softw., 2021

Euclidean and Rapid Jacobian-based Saliency Maps Attacks.
Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

Semantic Preserving Generative Adversarial Network For Cross-Modal Hashing.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Temporal Interference Stimulation Regulates Eye Movements and Neural Activity in the Mice Superior Colliculus<sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Causal Modeling with Stochastic Confounders.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

A Deep Learning Malicious Code Classification Method Combined with Texture Feature Extraction GSINET.
Proceedings of the AIPR 2021: 4th International Conference on Artificial Intelligence and Pattern Recognition, Xiamen, China, September 24, 2021

2020
A unified linear convergence analysis of k-SVD.
Memetic Comput., 2020

Measuring regional effects of model inputs with random Forest.
Commun. Stat. Simul. Comput., 2020

Hierarchial Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection.
CoRR, 2020

A Causal Modeling Framework with Stochastic Confounders.
CoRR, 2020

Cooperative Heterogeneous Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Randomized Transferable Machine.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Succinct Adaptive Manifold Transfer.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

3D-LIDAR Feature Based Localization for Autonomous Vehicles.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

Competitive and Cooperative Heterogeneous Deep Reinforcement Learning.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Adaptive Knowledge Transfer based on Transfer Neural Kernel Network.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Feature Analysis of Marginalized Stacked Denoising Autoenconder for Unsupervised Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst., 2019

A General Domain Specific Feature Transfer Framework for Hybrid Domain Adaptation.
IEEE Trans. Knowl. Data Eng., 2019

Hyperspectral-Based Estimation of Leaf Nitrogen Content in Corn Using Optimal Selection of Multiple Spectral Variables.
Sensors, 2019

Global sensitivity analysis for multivariate outputs based on multiple response Gaussian process model.
Reliab. Eng. Syst. Saf., 2019

An Improved CASA Model for Estimating Winter Wheat Yield from Remote Sensing Images.
Remote. Sens., 2019

Multi-source sequential knowledge regression by using transfer RNN units.
Neural Networks, 2019

Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy.
CoRR, 2019

Sensitivity analysis of prior beliefs in advanced Bayesian networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Learning Disentangled Semantic Representation for Domain Adaptation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Knowledge Transfer based on Multiple Manifolds Assumption.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Domain adaptation: methods and applications
PhD thesis, 2018

Reliability and reliability-based importance analysis of structural systems using multiple response Gaussian process model.
Reliab. Eng. Syst. Saf., 2018

A probabilistic procedure for quantifying the relative importance of model inputs characterized by second-order probability models.
Int. J. Approx. Reason., 2018

Uncluttered Domain Sub-Similarity Modeling for Transfer Regression.
Proceedings of the IEEE International Conference on Data Mining, 2018

Transfer Hawkes Processes with Content Information.
Proceedings of the IEEE International Conference on Data Mining, 2018

The Optimal Number and Distribution of Channels in Mental Fatigue Classification Based on GA-SVM.
Proceedings of the 2018 5th International Conference on Bioinformatics Research and Applications, 2018

2017
Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression.
Proceedings of the 34th International Conference on Machine Learning, 2017

Domain Specific Feature Transfer for Hybrid Domain Adaptation.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Time-dependent reliability sensitivity analysis of motion mechanisms.
Reliab. Eng. Syst. Saf., 2016

Deep Nonlinear Feature Coding for Unsupervised Domain Adaptation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Variable importance analysis: A comprehensive review.
Reliab. Eng. Syst. Saf., 2015

Regional and parametric sensitivity analysis of Sobol' indices.
Reliab. Eng. Syst. Saf., 2015

A comprehensive comparison of two variable importance analysis techniques in high dimensions: Application to an environmental multi-indicators system.
Environ. Model. Softw., 2015

2014
Regional sensitivity analysis using revised mean and variance ratio functions.
Reliab. Eng. Syst. Saf., 2014

Modulation effect of transcranial direct current stimulation on phase synchronization in motor imagery brain-computer interface.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Monte Carlo simulation for moment-independent sensitivity analysis.
Reliab. Eng. Syst. Saf., 2013

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., 2013

Uncertainty importance measure for models with correlated normal variables.
Reliab. Eng. Syst. Saf., 2013

Speech Emotional Features Extraction Based on Electroglottograph.
Neural Comput., 2013

Moment-independent regional sensitivity analysis: Application to an environmental model.
Environ. Model. Softw., 2013

A new variance-based global sensitivity analysis technique.
Comput. Phys. Commun., 2013

Speech Synthesis Research Based on EGG.
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013

2012
Efficient sampling methods for global reliability sensitivity analysis.
Comput. Phys. Commun., 2012

Mandarin emotion recognition combining acoustic and emotional point information.
Appl. Intell., 2012

Combination of amplitude and phase features under a uniform framework with EMD in EEG-based Brain-Computer Interface.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

A novel EMD-based Common Spatial Pattern for motor imagery brain-computer interface.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012


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