| Palr: Personalization aware llms for recommendation YL Fan Yang*, Zheng Chen*, Ziyan Jiang*, Eunah Cho, Xiaojiang Huang Gen-IR@SIGIR'2023, 2023 | 109* | 2023 |
| Recmind: Large language model powered agent for recommendation Y Wang, Z Jiang, Z Chen, F Yang, Y Zhou, E Cho, X Fan, X Huang, Y Lu, ... arXiv preprint arXiv:2308.14296, 2023 | 100 | 2023 |
| Temporal Data Meets LLM--Explainable Financial Time Series Forecasting X Yu, Z Chen, Y Ling, S Dong, Z Liu, Y Lu arXiv preprint arXiv:2306.11025, 2023 | 93 | 2023 |
| Automated profiling of individual cell–cell interactions from high-throughput time-lapse imaging microscopy in nanowell grids (TIMING) A Merouane, N Rey-Villamizar, Y Lu, I Liadi, G Romain, J Lu, H Singh, ... Bioinformatics 31 (19), 3189-3197, 2015 | 65 | 2015 |
| Single-cell profiling of dynamic cytokine secretion and the phenotype of immune cells An, X., Sendra, V.G., Liadi, I., Ramesh, B., Romain, G., Haymaker, C ... PloS one 12 (8), 2017 | 54 | 2017 |
| Population-scale three-dimensional reconstruction and quantitative profiling of microglia arbors M Megjhani, N Rey-Villamizar, A Merouane, Y Lu, A Mukherjee, K Trett, ... Bioinformatics 31 (13), 2190-2198, 2015 | 43 | 2015 |
| Quantitative 3-D analysis of GFAP labeled astrocytes from fluorescence confocal images PM Kulkarni, E Barton, M Savelonas, R Padmanabhan, Y Lu, K Trett, ... Journal of neuroscience methods 246, 38-51, 2015 | 39 | 2015 |
| Quantitative arbor analytics: unsupervised harmonic co-clustering of populations of brain cell arbors based on L-measure Y Lu, L Carin, R Coifman, W Shain, B Roysam Neuroinformatics 13, 47-63, 2015 | 39 | 2015 |
| Large-scale automated image analysis for computational profiling of brain tissue surrounding implanted neuroprosthetic devices using Python N Rey-Villamizar, V Somasundar, M Megjhani, Y Xu, Y Lu, ... Frontiers in neuroinformatics 8, 39, 2014 | 23 | 2014 |
| Harnessing LLMs for temporal data-a study on explainable financial time series forecasting X Yu, Z Chen, Y Lu Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 14 | 2023 |
| Binge alcohol alters exercise-driven neuroplasticity EA Barton, Y Lu, M Megjhani, ME Maynard, PM Kulkarni, B Roysam, ... Neuroscience 343, 165-173, 2017 | 14 | 2017 |
| Quantitative profiling of microglia populations using harmonic co-clustering of arbor morphology measurements Y Lu, K Trett, W Shain, L Carin, R Coifman, B Roysam 2013 IEEE 10Th international symposium on biomedical imaging, 1360-1363, 2013 | 9 | 2013 |
| Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding Z Chen, Z Jiang, F Yang, E Cho, X Fan, X Huang, Y Lu, A Galstyan arXiv preprint arXiv:2305.14449, 2023 | 8 | 2023 |
| Unified contextual query rewriting Y Zhou, J Hao, M Rungta, Y Liu, E Cho, X Fan, Y Lu, V Vasudevan, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 4 | 2023 |
| 3d tomosynthesis to detect breast cancer Y Lu, M Yousefi, J Ellenberger, RH Moore, DB Kopans, A Krzyżak, ... Handbook of Pattern Recognition and Computer Vision, 371-393, 2016 | 4 | 2016 |
| Improving contextual query rewrite for conversational AI agents through user-preference feedback learning Z Sun, Y Zhou, J Hao, X Fan, Y Lu, C Ma, W Shen, C Guo Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 3 | 2023 |
| [Industry] Unified Contextual Query Rewriting Y Zhou, J Hao, M Rungta, Y Liu, E Cho, X Fan, Y Lu, V Vasudevan, ... The 61st Annual Meeting Of The Association For Computational Linguistics, 2023 | | 2023 |
