| LncRNA2Function: a comprehensive resource for functional investigation of human lncRNAs based on RNA-seq data Q Jiang, R Ma, J Wang, X Wu, S Jin, J Peng, R Tan, T Zhang, Y Li, ... BMC genomics 16, 1-11, 2015 | 136 | 2015 |
| LncRNA2Target: a database for differentially expressed genes after lncRNA knockdown or overexpression Q Jiang, J Wang, X Wu, R Ma, T Zhang, S Jin, Z Han, R Tan, J Peng, G Liu, ... Nucleic acids research 43 (D1), D193-D196, 2015 | 129 | 2015 |
| Centroid-based deep metric learning for speaker recognition J Wang, KC Wang, MT Law, F Rudzicz, M Brudno ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 114 | 2019 |
| Extending gene ontology with gene association networks J Peng, T Wang, J Wang, Y Wang, J Chen Bioinformatics 32 (8), 1185-1194, 2016 | 50 | 2016 |
| TF2LncRNA: identifying common transcription factors for a list of lncRNA genes from ChIP-Seq data Q Jiang, J Wang, Y Wang, R Ma, X Wu, Y Li BioMed Research International 2014, 2014 | 45 | 2014 |
| Speaker diarization with session-level speaker embedding refinement using graph neural networks J Wang, X Xiao, J Wu, R Ramamurthy, F Rudzicz, M Brudno ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 29 | 2020 |
| Encoding syntactic knowledge in transformer encoder for intent detection and slot filling J Wang, K Wei, M Radfar, W Zhang, C Chung Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 13943 …, 2021 | 27 | 2021 |
| Automatically disambiguating medical acronyms with ontology-aware deep learning M Skreta, A Arbabi, J Wang, E Drysdale, J Kelly, D Singh, M Brudno Nature communications 12 (1), 5319, 2021 | 19 | 2021 |
| Grad2task: Improved few-shot text classification using gradients for task representation J Wang, KC Wang, F Rudzicz, M Brudno Advances in Neural Information Processing Systems 34, 6542-6554, 2021 | 17 | 2021 |
| Training without training data: Improving the generalizability of automated medical abbreviation disambiguation M Skreta, A Arbabi, J Wang, M Brudno Machine Learning for Health Workshop, 233-245, 2020 | 15 | 2020 |
| Analyzing large-scale samples confirms the association between the rs1051730 polymorphism and lung cancer susceptibility Z Han, Q Jiang, T Zhang, X Wu, R Ma, J Wang, Y Bai, R Wang, R Tan, ... Scientific reports 5 (1), 15642, 2015 | 14 | 2015 |
| Speaker attribution with voice profiles by graph-based semi-supervised learning J Wang, X Xiao, J Wu, R Ramamurthy, F Rudzicz, M Brudno Proc. Interspeech 2020, 2020 | 11 | 2020 |
| Phenopad: building AI enabled note-taking interfaces for patient encounters J Wang, J Yang, H Zhang, H Lu, M Skreta, M Husić, A Arbabi, N Sultanum, ... NPJ digital medicine 5 (1), 12, 2022 | 8 | 2022 |
| ERDS-exome: a hybrid approach for copy number variant detection from whole-exome sequencing data R Tan, J Wang, X Wu, L Juan, T Zhang, R Ma, Q Zhan, T Wang, S Jin, ... IEEE/ACM Transactions on Computational Biology and Bioinformatics 17 (3 …, 2017 | 6 | 2017 |
| Customizable Facial Gesture Recognition for Improved Assistive Technology KC Wang, J Wang, K Truong, R Zemel AI for Social Good ICLR2019 Workshop, 2019 | 4 | 2019 |
| Quantifying catastrophic forgetting in continual federated learning C Dupuy, J Majmudar, J Wang, TG Roosta, R Gupta, C Chung, J Ding, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| On the data requirements of probing Z Zhu, J Wang, B Li, F Rudzicz Findings of ACL, 2022 | 3 | 2022 |
| ERDS-pe: A paired hidden Markov model for copy number variant detection from whole-exome sequencing data R Tan, J Wang, X Wu, G Wan, R Wang, R Ma, Z Han, W Zhou, S Jin, ... 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | 2 | 2016 |
| Pyramid dynamic inference: encouraging faster inference via early exit boosting E Banijamali, P Kharazmi, S Eghbali, J Wang, C Chung, S Choudhary ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| End-to-end spoken language understanding using joint CTC loss and self-supervised, pretrained acoustic encoders J Wang, M Radfar, K Wei, C Chung ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
