| Feedback analysis of a digital assistant G Frazzingaro, A Garg, B Thomson, A Kumar, MS SEIGEL, L Li US Patent 11,301,477, 2022 | 134 | 2022 |
| Knowledge-based framework for improving natural language understanding L Li, D Muralidharan, X Yang, KAO Justine, LC VISWANATHAN, ... US Patent 10,733,375, 2020 | 120 | 2020 |
| Named entity normalization in a spoken dialog system X Yang, D Muralidharan, KAO Justine, L Li, MAS IBRAHIM, JG KEESLING, ... US Patent 10,839,159, 2020 | 104 | 2020 |
| Kernel methods on spike train space for neuroscience: a tutorial IM Park, S Seth, ARC Paiva, L Li, JC Principe IEEE Signal Processing Magazine 30 (4), 149-160, 2013 | 71 | 2013 |
| Conversational semantic parsing for dialog state tracking J Cheng, D Agrawal, HM Alonso, S Bhargava, J Driesen, F Flego, ... arXiv preprint arXiv:2010.12770, 2020 | 55 | 2020 |
| Risk adjustment of patient expenditures: A big data analytics approach L Li, S Bagheri, H Goote, A Hasan, G Hazard 2013 IEEE international conference on big data, 12-14, 2013 | 41 | 2013 |
| Adaptive inverse control of neural spatiotemporal spike patterns with a reproducing kernel Hilbert space (RKHS) framework L Li, IM Park, A Brockmeier, B Chen, S Seth, JT Francis, JC Sanchez, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 21 (4 …, 2012 | 32 | 2012 |
| CREAD: Combined resolution of ellipses and anaphora in dialogues BH Tseng, S Bhargava, J Lu, JRA Moniz, D Piraviperumal, L Li, H Yu arXiv preprint arXiv:2105.09914, 2021 | 17 | 2021 |
| An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS) L Li, IM Park, S Seth, JS Choi, JT Francis, JC Sanchez, JC Príncipe 2011 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2011 | 13 | 2011 |
| Leveraging user engagement signals for entity labeling in a virtual assistant D Muralidharan, J Kao, X Yang, L Li, L Viswanathan, MS Ibrahim, ... arXiv preprint arXiv:1909.09143, 2019 | 9 | 2019 |
| Nonlinear adaptive filtering in kernel spaces B Chen, L Li, W Liu, JC Príncipe Springer Handbook of Bio-/Neuroinformatics, 715-734, 2014 | 9 | 2014 |
| Noise robust named entity understanding for voice assistants D Muralidharan, JRA Moniz, S Gao, X Yang, J Kao, S Pulman, A Kothari, ... arXiv preprint arXiv:2005.14408, 2020 | 7 | 2020 |
| Neuronal functional connectivity dynamics in cortex: An MSC-based analysis L Li, I Park, S Seth, JC Sanchez, JC Príncipe 2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010 | 4 | 2010 |
| Decoding stimuli from multi-source neural responses L Li, JS Choi, JT Francis, JC Sanchez, JC Príncipe 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 3 | 2012 |
| DEXTER: deep encoding of external knowledge for named entity recognition in virtual assistants D Muralidharan, JRA Moniz, W Zhang, S Pulman, L Li, M Barnes, J Pan, ... arXiv preprint arXiv:2108.06633, 2021 | 2 | 2021 |
| Noise-robust Named Entity Understanding for Virtual Assistants. D Muralidharan, JRA Moniz, S Gao, X Yang, L Li, J Kao, S Pulman, ... arXiv preprint arXiv:2005.14408, 2020 | 2 | 2020 |
| An adaptive inverse controller for online somatosensory microstimulation optimization L Li, A Brockmeier, JT Francis, JC Sanchez, JC Príncipe 2011 5th International IEEE/EMBS Conference on Neural Engineering, 13-16, 2011 | 2 | 2011 |
| Estimation and visualization of neuronal functional connectivity in motor tasks L Li, S Seth, I Park, JC Sanchez, JC Principe 2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009 | 1 | 2009 |
| Digital assistant reference resolution H Yu, S Adya, S Bhargava, M Lukens, J Cheng, L Li, A Patel, ... US Patent App. 17/402,328, 2023 | | 2023 |
| Research Article A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control L Li, AJ Brockmeier, JS Choi, JT Francis, JC Sanchez, JC Príncipe | | 2014 |
