| MobiRNN: Efficient recurrent neural network execution on mobile GPU Q Cao, N Balasubramanian, A Balasubramanian Proceedings of the 1st International Workshop on Deep Learning for Mobile …, 2017 | 59 | 2017 |
| DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering Q Cao, H Trivedi, A Balasubramanian, N Balasubramanian ACL 2020, 2020 | 36 | 2020 |
| Uiwear: Easily adapting user interfaces for wearable devices J Xu*, Q Cao*, A Prakash, A Balasubramanian, DE Porter Proceedings of the 23rd Annual International Conference on Mobile Computing …, 2017 | 18 | 2017 |
| Towards Accurate and Reliable Energy Measurement of NLP Models Q Cao, A Balasubramanian, N Balasubramanian SustaiNLP@EMNLP 2020, 2020 | 13 | 2020 |
| Deqa: On-device question answering Q Cao, N Weber, N Balasubramanian, A Balasubramanian Proceedings of the 17th Annual International Conference on Mobile Systems …, 2019 | 9 | 2019 |
| IrEne: Interpretable Energy Prediction for Transformers Q Cao, YK Lal, H Trivedi, A Balasubramanian, N Balasubramanian ACL 2021, 2021 | 5 | 2021 |
| Faster and just as accurate: A simple decomposition for transformer models Q Cao, H Trivedi, A Balasubramanian, N Balasubramanian | 5 | 2019 |
| A survey for efficient open domain question answering Q Zhang, S Chen, D Xu, Q Cao, X Chen, T Cohn, M Fang arXiv preprint arXiv:2211.07886, 2022 | 3 | 2022 |
| Are Mobile DNN Accelerators Accelerating DNNs? Q Cao, AE Irimiea, M Abdelfattah, A Balasubramanian, ND Lane Proceedings of the 5th International Workshop on Embedded and Mobile Deep …, 2021 | 3 | 2021 |
| Efficient methods for natural language processing: a survey M Treviso, T Ji, JU Lee, B van Aken, Q Cao, MR Ciosici, M Hassid, ... arXiv preprint arXiv:2209.00099, 2022 | 2 | 2022 |
| Bew: Towards Answering Business-Entity-Related Web Questions Q Cao, O Riva, A Balasubramanian, N Balasubramanian arXiv preprint arXiv:2012.05818, 2020 | 1 | 2020 |
| MobiVQA: Efficient On-Device Visual Question Answering Q Cao, P Khanna, ND Lane, A Balasubramanian Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2022 | | 2022 |
| IrEne-viz: Visualizing Energy Consumption of Transformer Models YK Lal, R Singh, H Trivedi, Q Cao, A Balasubramanian, ... Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | | 2021 |
| Efficient Natural Language Processing for Heterogeneous Platforms Q Cao State University of New York at Stony Brook, 2021 | | 2021 |
Aruna BalasubramanianStony Brook UniversityVerified email at cs.stonybrook.edu
