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 | 89* | 2019 |
Deep nonlinear feature coding for unsupervised domain adaptation. P Wei, Y Ke, CK Goh IJCAI, 2189-2195, 2016 | 51 | 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 | 37 | 2020 |
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 | 32 | 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 | 32 | 2017 |
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 | 31 | 2018 |
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 | 27 | 2012 |
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 | 26 | 2020 |
Speech emotional features extraction based on electroglottograph L Chen, X Mao, P Wei, A Compare Neural computation 25 (12), 3294-3317, 2013 | 17 | 2013 |
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 | 12 | 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 | 12 | 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 | 12 | 2017 |
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 | 10 | 2022 |
Graph domain adaptation: A generative view R Cai, F Wu, Z Li, P Wei, L Yi, K Zhang arXiv preprint arXiv:2106.07482, 2021 | 9 | 2021 |
Subdomain adaptation with manifolds discrepancy alignment P Wei, Y Ke, X Qu, TY Leong IEEE Transactions on Cybernetics 52 (11), 11698-11708, 2021 | 8 | 2021 |
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 | 8 | 2020 |
IMBENS: ensemble class-imbalanced learning in python Z Liu, Z Wei, E Yu, Q Huang, K Guo, B Yu, Z Cai, H Ye, W Cao, J Bian, ... arXiv preprint arXiv:2111.12776, 2021 | 5 | 2021 |
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 | 5 | 2020 |
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 | 5 | 2020 |
Knowledge transfer based on multiple manifolds assumption P Wei, Y Ke Proceedings of the 28th ACM International Conference on Information and …, 2019 | 5 | 2019 |