| 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 | 143* | 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 | 76 | 2020 |
| 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 | 64 | 2021 |
| Deep nonlinear feature coding for unsupervised domain adaptation. P Wei, Y Ke, CK Goh IJCAI, 2189-2195, 2016 | 53 | 2016 |
| 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 | 44 | 2018 |
| 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 | 43 | 2018 |
| 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 | 42* | 2024 |
| 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 | 41 | 2020 |
| 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 | 37 | 2017 |
| 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 | 32 | 2024 |
| 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 | 28 | 2012 |
| 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 | 27 | 2022 |
| 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 | 22 | 2022 |
| Subdomain adaptation with manifolds discrepancy alignment P Wei, Y Ke, X Qu, TY Leong IEEE Transactions on Cybernetics 52 (11), 11698-11708, 2021 | 20 | 2021 |
| 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 | 19 | 2023 |
| 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 | 18 | 2020 |
| Speech emotional features extraction based on electroglottograph L Chen, X Mao, P Wei, A Compare Neural computation 25 (12), 3294-3317, 2013 | 18 | 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 | 17 | 2019 |
| 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 | 16* | 2023 |
| Adaptive policy learning for offline-to-online reinforcement learning H Zheng, X Luo, P Wei, X Song, D Li, J Jiang Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11372 …, 2023 | 16 | 2023 |
Yew-Soon OngPresident Chair Professor of Computer Science, A*Star AI Chief Scientist, FIEEEVerified email at ntu.edu.sg
