| Evaluating Word Embedding Models: Methods and Experimental Results B Wang, A Wang, F Chen, Y Wang, CCJ Kuo arXiv preprint arXiv:1901.09785, 2019 | 339 | 2019 |
| Graph representation learning: a survey F Chen, YC Wang, B Wang, CCJ Kuo APSIPA Transactions on Signal and Information Processing 9, e15, 2020 | 212 | 2020 |
| Post-Processing of Word Representations via Variance Normalization and Dynamic Embedding F Chen, A Wang, CCJ Kuo 2019 IEEE International Conference on Multimedia and Expo (ICME), 718-723, 2019 | 11 | 2019 |
| Post-Processing of Word Representations via Variance Normalization and Dynamic Embedding B Wang, F Chen, A Wang, CCJ Kuo arXiv preprint arXiv:1808.06305, 2018 | 11 | 2018 |
| Post-Processing of Word Representations via Variance Normalization and Dynamic Embedding B Wang, F Chen, A Wang, CCJ Kuo arXiv preprint arXiv:1808.06305, 2018 | 11 | 2018 |
| Efficient sentence embedding via semantic subspace analysis B Wang, F Chen, Y Wang, CCJ Kuo 2020 25th International Conference on Pattern Recognition (ICPR), 119-125, 2021 | 5 | 2021 |
| Deepwalk-assisted Graph PCA (DGPCA) for Language Networks F Chen, B Wang, CCJ Kuo ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 3 | 2019 |
| Graph-based deep-tree recursive neural network (dtrnn) for text classification F Chen, B Wang, CCJ Kuo 2018 IEEE Spoken Language Technology Workshop (SLT), 743-749, 2018 | 2 | 2018 |
| 1. Highlight B Wang, F Chen, YC Wang, CCJ Kuo | | |
C.-C. Jay KuoMing Hsieh Chair Professor in ECE-Systems, University of Southern CaliforniaVerified email at sipi.usc.edu
