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WEI PENGFEI
WEI PENGFEI
Nanyang Technological University, Singapore
Verified email at nus.edu.sg - Homepage
Title
Cited by
Cited by
Year
Learning Disentangled Semantic Representation for Domain Adaptation
ZH Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
140*2019
MESA: boost ensemble imbalanced learning with meta-sampler
Z Liu, P Wei, J Jiang, W Cao, J Bian, Y Chang
Advances in neural information processing systems 33, 14463-14474, 2020
762020
Multi-level graph neural network for text sentiment analysis
W Liao, B Zeng, J Liu, P Wei, X Cheng, W Zhang
Computers & Electrical Engineering 92, 107096, 2021
642021
Deep nonlinear feature coding for unsupervised domain adaptation.
P Wei, Y Ke, CK Goh
IJCAI, 2189-2195, 2016
532016
Feature analysis of marginalized stacked denoising autoenconder for unsupervised domain adaptation
P Wei, Y Ke, CK Goh
IEEE transactions on neural networks and learning systems 30 (5), 1321-1334, 2018
432018
A general domain specific feature transfer framework for hybrid domain adaptation
P Wei, Y Ke, CK Goh
IEEE Transactions on Knowledge and Data Engineering 31 (8), 1440-1451, 2018
432018
Minimalistic attacks: How little it takes to fool deep reinforcement learning policies
X Qu, Z Sun, YS Ong, A Gupta, P Wei
IEEE Transactions on Cognitive and Developmental Systems 13 (4), 806-817, 2020
412020
Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis
Z Jiang, J Liu, Y Ren, J He, Z Ye, S Ji, Q Yang, C Zhang, P Wei, C Wang, ...
The Twelfth International Conference on Learning Representations, 2024
37*2024
Source-target similarity modelings for multi-source transfer gaussian process regression
P Wei, R Sagarna, Y Ke, YS Ong, CK Goh
International conference on machine learning, 3722-3731, 2017
372017
Graph domain adaptation: A generative view
R Cai, F Wu, Z Li, P Wei, L Yi, K Zhang
ACM Transactions on Knowledge Discovery from Data 18 (3), 1-24, 2024
302024
Mandarin emotion recognition combining acoustic and emotional point information
L Chen, X Mao, P Wei, Y Xue, M Ishizuka
Applied Intelligence 37, 602-612, 2012
282012
Modality and event adversarial networks for multi-modal fake news detection
P Wei, F Wu, Y Sun, H Zhou, XY Jing
IEEE Signal Processing Letters 29, 1382-1386, 2022
272022
Language adaptive cross-lingual speech representation learning with sparse sharing sub-networks
Y Lu, M Huang, X Qu, P Wei, Z Ma
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
222022
Subdomain adaptation with manifolds discrepancy alignment
P Wei, Y Ke, X Qu, TY Leong
IEEE Transactions on Cybernetics 52 (11), 11698-11708, 2021
202021
Speech emotional features extraction based on electroglottograph
L Chen, X Mao, P Wei, A Compare
Neural computation 25 (12), 3294-3317, 2013
182013
Virtual try-on with pose-garment keypoints guided inpainting
Z Li, P Wei, X Yin, Z Ma, AC Kot
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
172023
Cooperative heterogeneous deep reinforcement learning
H Zheng, P Wei, J Jiang, G Long, Q Lu, C Zhang
Advances in Neural Information Processing Systems 33, 17455-17465, 2020
172020
Multi-source sequential knowledge regression by using transfer RNN units
X Xie, G Liu, Q Cai, P Wei, H Qu
Neural Networks 119, 151-161, 2019
172019
Unsupervised video domain adaptation for action recognition: A disentanglement perspective
P Wei, L Kong, X Qu, Y Ren, Z Xu, J Jiang, X Yin
Advances in Neural Information Processing Systems 36, 17623-17642, 2023
15*2023
Uncluttered domain sub-similarity modeling for transfer regression
P Wei, R Sagarna, Y Ke, YS Ong
2018 IEEE International Conference on Data Mining (ICDM), 1314-1319, 2018
152018
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