WEI PENGFEI
WEI PENGFEI
Nanyang Technological University, Singapore
Verified email at nus.edu.sg - Homepage
Title
Cited by
Cited by
Year
Deep nonlinear feature coding for unsupervised domain adaptation.
P Wei, Y Ke, CK Goh
IJCAI, 2189-2195, 2016
432016
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
40*2019
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
252018
Mandarin emotion recognition combining acoustic and emotional point information
L Chen, X Mao, P Wei, Y Xue, M Ishizuka
Applied Intelligence 37 (4), 602-612, 2012
252012
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
172018
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
172017
Speech emotional features extraction based on electroglottograph
L Chen, X Mao, P Wei, A Compare
Neural computation 25 (12), 3294-3317, 2013
132013
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, 2020
82020
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
72019
Domain Specific Feature Transfer for Hybrid Domain Adaptation.
P Wei, Y Ke, CK Goh
ICDM, 1027-1032, 2017
72017
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, 2020
62020
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
62018
Knowledge transfer based on multiple manifolds assumption
P Wei, Y Ke
Proceedings of the 28th ACM International Conference on Information and …, 2019
52019
Transfer hawkes processes with content information
T Li, P Wei, Y Ke
2018 IEEE International Conference on Data Mining (ICDM), 1116-1121, 2018
52018
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
42017
Hierarchical Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection
X Xu, T Huang, P Wei, A Narayan, TY Leong
arXiv preprint arXiv:2008.03444, 2020
32020
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
32020
Subdomain adaptation with manifolds discrepancy alignment
P Wei, Y Ke, X Qu, TY Leong
IEEE Transactions on Cybernetics, 2021
22021
Osteoconductive and osteoinductive biodegradable microspheres serving as injectable micro-scaffolds for bone regeneration
J Mao, P Wei, Z Yuan, W Jing, J Cao, G Li, J Guo, H Wang, D Chen, Q Cai
Journal of Biomaterials Science, Polymer Edition 32 (2), 229-247, 2021
22021
A unified linear convergence analysis of k-SVD
Z Xu, Y Ke, X Cao, C Zhou, P Wei, X Gao
Memetic Computing 12 (4), 343-353, 2020
12020
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