| Explicitly imposing constraints in deep networks via conditional gradients gives improved generalization and faster convergence SN Ravi, T Dinh, VS Lokhande, V Singh Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4772-4779, 2019 | 41 | 2019 |
| WAKE: a behind-the-ear wearable system for microsleep detection N Pham, T Dinh, Z Raghebi, T Kim, N Bui, P Nguyen, H Truong, ... Proceedings of the 18th International Conference on Mobile Systems …, 2020 | 38 | 2020 |
| Constrained deep learning using conditional gradient and applications in computer vision SN Ravi, T Dinh, V Lokhande, V Singh arXiv preprint arXiv:1803.06453, 2018 | 23 | 2018 |
| Lift: Language-interfaced fine-tuning for non-language machine learning tasks T Dinh, Y Zeng, R Zhang, Z Lin, M Gira, S Rajput, J Sohn, ... Advances in Neural Information Processing Systems 35, 11763-11784, 2022 | 20 | 2022 |
| Detection of microsleep events with a behind-the-ear wearable system N Pham, T Dinh, T Kim, Z Raghebi, N Bui, H Truong, T Nguyen, ... IEEE Transactions on Mobile Computing, 2021 | 5 | 2021 |
| Improved input reprogramming for gan conditioning T Dinh, D Seo, Z Du, L Shang, K Lee arXiv preprint arXiv:2201.02692, 2022 | 4 | 2022 |
| Performing group difference testing on graph structured data from Gans: Analysis and applications in neuroimaging TQ Dinh, Y Xiong, Z Huang, T Vo, A Mishra, WH Kim, SN Ravi, V Singh IEEE transactions on pattern analysis and machine intelligence 44 (2), 877-889, 2020 | 4 | 2020 |
| Forecasting dengue incidence: Statistical and dynamic models TH Cao, AD Nguyen, TQ Dinh, QC Luong, HT Diep Oxford Journal of Intelligent Decision and Data Science 2018, 1-13, 2018 | 3 | 2018 |
| Forecasting the magnitude of dengue in Southern Vietnam TQ Dinh, HV Le, TH Cao, QC Luong, HT Diep Intelligent Information and Database Systems: 8th Asian Conference, ACIIDS …, 2016 | 3 | 2016 |
| Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment T Dinh, J Sohn, S Rajput, T Ossowski, Y Ming, J Hu, D Papailiopoulos, ... arXiv preprint arXiv:2205.11616, 2022 | 2 | 2022 |
| Coded-InvNet for Resilient Prediction Serving Systems T Dinh, K Lee International Conference on Machine Learning, 2749-2759, 2021 | 2 | 2021 |
| PROS: an efficient pattern-driven compressive sensing framework for low-power biopotential-based wearables with on-chip intelligence N Pham, H Jia, M Tran, T Dinh, N Bui, Y Kwon, D Ma, P Nguyen, ... Proceedings of the 28th Annual International Conference on Mobile Computing …, 2022 | 1 | 2022 |
| Large Language Models of Code Fail at Completing Code with Potential Bugs T Dinh, J Zhao, S Tan, R Negrinho, L Lausen, S Zha, G Karypis arXiv preprint arXiv:2306.03438, 2023 | | 2023 |
| Towards Modular Neural Networks with Pre-Trained Models TQ Dinh The University of Wisconsin-Madison, 2023 | | 2023 |
| Training system for artificial neural networks having a global weight constrainer SN Ravi, TQ Dinh, VSRS Lokhande, V Singh US Patent 11,526,760, 2022 | | 2022 |
| Unsupervised learning of three dimensional visual alphabet TL Hoang, A Akhriev, NM Tran, B Eck, T Dinh US Patent 11,087,525, 2021 | | 2021 |
| Explicitly imposing constraints in deep networks via conditional gradients gives improved generalization and faster convergence SN Ravi, T Dinh, VS Lokhande, V Singh Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4772-4779, 2019 | | 2019 |
Vikas SinghUniversity of Wisconsin MadisonVahvistettu sähköpostiosoite verkkotunnuksessa biostat.wisc.edu
