| Controllable paraphrase generation with a syntactic exemplar M Chen, Q Tang, S Wiseman, K Gimpel ACL 2019, 2019 | 126 | 2019 |
| Unsupervised pre-training of bidirectional speech encoders via masked reconstruction W Wang, Q Tang, K Livescu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 108 | 2020 |
| BASIC: BCR assembly from single cells S Canzar, KE Neu, Q Tang, PC Wilson, AA Khan Bioinformatics 33 (3), 425-427, 2017 | 104 | 2017 |
| A multi-task approach for disentangling syntax and semantics in sentence representations M Chen, Q Tang, S Wiseman, K Gimpel NAACL 2019, 2019 | 81 | 2019 |
| Single-cell genomics: approaches and utility in immunology KE Neu, Q Tang, PC Wilson, AA Khan Trends in immunology 38 (2), 140-149, 2017 | 81 | 2017 |
| DeepCNF-D: predicting protein order/disorder regions by weighted deep convolutional neural fields S Wang, S Weng, J Ma, Q Tang International journal of molecular sciences 16 (8), 17315-17330, 2015 | 77 | 2015 |
| Variational sequential labelers for semi-supervised learning M Chen, Q Tang, K Livescu, K Gimpel EMNLP 2018, 2019 | 51 | 2019 |
| Dependency-aware attention control for unconstrained face recognition with image sets X Liu, BVK Kumar, C Yang, Q Tang, J You Proceedings of the European conference on computer vision (ECCV), 548-565, 2018 | 50 | 2018 |
| Multi-task self-supervised pre-training for music classification HH Wu, CC Kao, Q Tang, M Sun, B McFee, JP Bello, C Wang ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 38 | 2021 |
| A clustering hybrid based algorithm for privacy preserving trajectory data publishing Y Wu, Q Tang, W Ni, Z Sun, S Liao Journal of Computer Research and Development 50 (3), 578-593, 2013 | 27* | 2013 |
| Image inpainting using block-wise procedural training with annealed adversarial counterpart C Yang, Y Song, X Liu, Q Tang, CCJ Kuo arXiv preprint arXiv:1803.08943, 2018 | 24 | 2018 |
| Acoustic feature learning via deep variational canonical correlation analysis Q Tang, W Wang, K Livescu Interspeech 2017, 2017 | 18 | 2017 |
| Media presence detection Q Tang, M Sun, CC Kao, C Wang, V Rozgic US Patent 11,069,352, 2021 | 15 | 2021 |
| Learning scale-free networks by dynamic node specific degree prior Q Tang, S Sun, J Xu International Conference on Machine Learning, 2247-2255, 2015 | 15 | 2015 |
| Federated self-supervised learning for acoustic event classification M Feng, CC Kao, Q Tang, M Sun, V Rozgic, S Matsoukas, C Wang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 13 | 2022 |
| Utility-based k-anonymization Q Tang, Y Wu, S Liao, X Wang The 6th International Conference on Networked Computing and Advanced …, 2010 | 12* | 2010 |
| Algorithm for k-anonymity based on rounded partition function 吴英杰， 唐庆明， 倪巍伟， 孙志挥 Journal of Software 23 (8), 2138-2148, 2012 | 10* | 2012 |
| Towards disentangled representations for human retargeting by multi-view learning C Yang, X Liu, Q Tang, CCJ Kuo arXiv preprint arXiv:1912.06265, 2019 | 8 | 2019 |
| Acoustic feature learning using cross-domain articulatory measurements Q Tang, W Wang, K Livescu 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 8 | 2018 |
| Improved representation learning for acoustic event classification using tree-structured ontology A Zharmagambetov, Q Tang, CC Kao, Q Zhang, M Sun, V Rozgic, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 6 | 2022 |
Chieh-Chi KaoApplied Science Manager, Amazon在 amazon.com 的电子邮件经过验证
