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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
Deep nonlinear feature coding for unsupervised domain adaptation.
P Wei, Y Ke, CK Goh
IJCAI, 2189-2195, 2016
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
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
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
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
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
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
Graph domain adaptation: A generative view
R Cai, F Wu, Z Li, P Wei, L Yi, K Zhang
arXiv preprint arXiv:2106.07482, 2021
Speech emotional features extraction based on electroglottograph
L Chen, X Mao, P Wei, A Compare
Neural computation 25 (12), 3294-3317, 2013
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
Subdomain adaptation with manifolds discrepancy alignment
P Wei, Y Ke, X Qu, TY Leong
IEEE Transactions on Cybernetics 52 (11), 11698-11708, 2021
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
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
Domain specific feature transfer for hybrid domain adaptation
W Pengfei, K Yiping, GC Keong
2017 IEEE International Conference on Data Mining (ICDM), 1027-1032, 2017
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
Transfer Kernel Learning for Multi-Source Transfer Gaussian Process Regression
P Wei, TV Vo, X Qu, YS Ong, Z Ma
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Competitive and cooperative heterogeneous deep reinforcement learning
H Zheng, J Jiang, P Wei, G Long, C Zhang
Proceedings of the International Joint Conference on Autonomous Agents and …, 2020
IMBENS: ensemble class-imbalanced learning in python
Z Liu, J Kang, H Tong, Y Chang
arXiv preprint arXiv:2111.12776, 2021
A novel concavity based method for automatic segmentation of touching cells in microfluidic chips
Z Zhang, Q Li, W Song, P Wei, J Guo
Expert Systems with Applications 202, 117432, 2022
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