Oral Presentations
- 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]
Panel Discussions
- 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