| BASIC: BCR assembly from single cells S Canzar, KE Neu, Q Tang, PC Wilson, AA Khan Bioinformatics 33 (3), 425-427, 2017 | 56 | 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 | 50 | 2015 |
| Single-cell genomics: approaches and utility in immunology KE Neu, Q Tang, PC Wilson, AA Khan Trends in immunology 38 (2), 140-149, 2017 | 41 | 2017 |
| Controllable paraphrase generation with a syntactic exemplar M Chen, Q Tang, S Wiseman, K Gimpel arXiv preprint arXiv:1906.00565, 2019 | 29 | 2019 |
| A multi-task approach for disentangling syntax and semantics in sentence representations M Chen, Q Tang, S Wiseman, K Gimpel arXiv preprint arXiv:1904.01173, 2019 | 29 | 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 | 29 | 2018 |
| 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 | 27 | 2020 |
| A clustering hybrid based algorithm for privacy preserving trajectory data publishing W Yingjie, T Qingming, N Weiwei Journal of Computer Research and Development 50 (3), 578-593, 2013 | 26* | 2013 |
| Variational sequential labelers for semi-supervised learning M Chen, Q Tang, K Livescu, K Gimpel arXiv preprint arXiv:1906.09535, 2019 | 18 | 2019 |
| 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 | 18 | 2018 |
| New algorithm with lower upper size bound for k-anonymity Q Tang, Y Wu, X Wang 2010 Second International Conference on Communication Systems, Networks and …, 2010 | 15* | 2010 |
| Learning scale-free networks by dynamic node specific degree prior Q Tang, S Sun, J Xu International Conference on Machine Learning, 2247-2255, 2015 | 14 | 2015 |
| Acoustic feature learning via deep variational canonical correlation analysis Q Tang, W Wang, K Livescu arXiv preprint arXiv:1708.04673, 2017 | 9 | 2017 |
| Towards disentangled representations for human retargeting by multi-view learning C Yang, X Liu, Q Tang, CCJ Kuo arXiv preprint arXiv:1912.06265, 2019 | 6 | 2019 |
| Utility-based k-anonymization Q Tang, Y Wu, S Liao, X Wang The 6th International Conference on Networked Computing and Advanced …, 2010 | 6* | 2010 |
| Acoustic feature learning using cross-domain articulatory measurements Q Tang, W Wang, K Livescu 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 4 | 2018 |
| Optimal hierarchical partition for k-Anonymity Q Tang, Y Wu, X Wang 2010 5th International Conference on Computer Science & Education, 160-165, 2010 | 2* | 2010 |
| Hierarchical residual-pyramidal model for large context based media presence detection Q Tang, M Sun, CC Kao, V Rozgic, C Wang ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 1 | 2019 |
| Bermuda: De novo assembly of transcripts with new insights for handling uneven coverage Q Tang, S Wang, J Peng, J Ma, J Xu Proceedings of the 6th ACM Conference on Bioinformatics, Computational …, 2015 | 1 | 2015 |
| Exact hybrid covariance thresholding for joint graphical lasso Q Tang, C Yang, J Peng, J Xu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015 | 1 | 2015 |
