Oral Presentations

Rebecca LI, Technial Insight Speaker, “Harm and Bias Evaluation and Solution for Adobe Firefly”, Embedded Vision Summit [Conference]), 2024
Rebecca LI, Keynote Speaker, “The Journey of Firefly in Adobe GenAI”, University of Houston, Education Innovation & Technology AI Event: Enhancing the Educational Experience with ChatGPT and AI Conference, 2024 [Agenda]
X. Rebecca. Li, Phd Thesis Defense: “Annotation-Free Deep Learning of Large-Scale Nuclear Segmentation and Spatial Neighborhood Analysis on Multiplexed Fluorescence Images”, 2020 [Video]
B.Roysam, H. Nguyen, S.Prasad , J.Jahanipour, X, Li. et al. “Brain Tissue Analytics for Accelerating Drug Discovery”, 2019 Rice Data Science Conference. [Abstract]
X. Rebecca. Li, “Computer Vision Applications on Nuclei Segmentations”, IEEE- Houston Section General Meeting, Dinner Speech, 2018. [News Posts]
X. Li, J. Jahanipour, D. Maric, B. Roysam, “Automatic Nucleus Segmentation of Whole Rat Brain Image”, Oral and Poster Presenter, Center for Advanced Computing and Data Science, University of Houston, 2017.
X. Li, K. Grama, B. Roysam, “Spatial Neuronal Neighborhood Relationship Changes in Rat Brain Tissue Following Ischemic Brain Injury “, Graduate Research Conference, University of Houston, 2016. [Brochure]
X. Li, Bayesian Theory for Classification, Houston Machine Learning Meetup, Presenter , 2016.

Poster Presentation

X. Rebecca. Li, B. Roysam,. Van Nguyen, H., “Toward Zero Human Efforts: Iterative Training Framework for Noisy Segmentation Label”, Grace Hopper Celebration, General Poster, 2020. [Poster]
X. Rebecca. Li., et al.. Generative Inpainting Network Applications on Seismic Image Compression and Non-Uniform Sampling. Workshop on Neural Information Processing Systems (NIPS): Solving Inverse Problems with Deep Networks (2019). [Poster] [Agenda]
X. Li, K. Grama, J. Jahanipour, B. Roysam, D. Maric, “Nucleus Segmentation and Computational Analysis of Neuronal Phenotypes in Layers I-VI of the Cerebral Cortex in the Rat Brain”,National Institute of Health, Summer Poster Day, 2017.[Poster]
X. Li, J. Jahanipour, D. Maric, B. Roysam, “Automatic Nucleus Segmentation of Whole Rat Brain Image”, Mission Connect /TIRR Foundation Annual Scientific Symposium, 2017. [Poster] (Winning Poster Award)
X. Li, J. Jahanipour, D. Maric, B. Roysam, “Automatic Nucleus Segmentation of Whole Rat Brain Image”, Oral and Poster Presenter, Center for Advanced Computing and Data Science, University of Houston, 2017.
X. Li, K. Grama, B. Roysam, “Spatial Neuronal Neighborhood Relationship Changes in Rat Brain Tissue Following Ischemic Brain Injury “, Graduate Research Conference, University of Houston, 2016. [Brochure]

Rebecca Li, Oscar Dadfar, Jose Echevarria, Adobe Tech Talk, Florida International University, 09/2023
Rym Benchaabane, Rebecca Li, Shalini Singh, Alumni Career Panel, IEEE ETA KAPPA NU Epsilon Epsilon Chapter, 02/10/2021 [Agenda][Video]
Rahul Goel, Justin Brantley, Pinyi Yang, Rebecca Li, “What Next after Ph.D.?”, IEEE EMB Houston Chapter & the UH BRAIN Center, 2020 [Agenda][Video]
Y. Xu, A. Crivello, J. Silve, N. Panchal, X, Li, Y. Yu, Panelist, “Deeplearning.ai Pie & AI: Houston - Build a career in Data Science”, Deeplearning.ai & Houston Machine Learning Meetup, 2020 [Detail]
X, Li, et al. Panelist, Graduate Student Panel, IEEE-University of Houston 3rd General meeting, 2018