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ORCIDAlex Lu 0002
Person information
- affiliation: University of Toronto, ON, Canada
Other persons with the same name
- Alex Lu — disambiguation page
- Alex Jiahong Lu
![[0000-0002-0093-8176]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0093-8176")
(aka: Alex Lu 0001) — University of Michigan, Ann Arbor, MI, USA
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Books and Theses
- 2021
[b1]Alex Lu:
Unsupervised machine learning for hypothesis discovery and representation learning in biological image and sequence analysis. University of Toronto, Canada, 2021
Journal Articles
- 2022
- [j3]Alex X. Lu, Amy X. Lu, Iva Pritisanac, Taraneh Zarin, Julie D. Forman-Kay, Alan M. Moses:
Discovering molecular features of intrinsically disordered regions by using evolution for contrastive learning. PLoS Comput. Biol. 18(6) (2022) - 2019
- [j2]Alex X. Lu, Taraneh Zarin, Ian Shenyen Hsu, Alan M. Moses:
YeastSpotter: accurate and parameter-free web segmentation for microscopy images of yeast cells. Bioinform. 35(21): 4525-4527 (2019) - [j1]Alex X. Lu, Oren Z. Kraus, Sam Cooper, Alan M. Moses:
Learning unsupervised feature representations for single cell microscopy images with paired cell inpainting. PLoS Comput. Biol. 15(9) (2019)
Conference and Workshop Papers
- 2024
- [c6]Kayo Yin, Chinmay Singh, Fyodor Minakov, Vanessa Milan, Hal Daumé III, Cyril Zhang, Alex Lu, Danielle Bragg:
ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles. EMNLP 2024: 14474-14490 - [c5]Francesca-Zhoufan Li, Ava P. Amini, Yisong Yue, Kevin K. Yang, Alex Xijie Lu:
Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models. ICML 2024 - 2023
- [c4]Kianoush Falahkheirkhah, Alex Xijie Lu, David Alvarez-Melis, Grace Huynh:
Domain adaptation using optimal transport for invariant learning using histopathology datasets. MIDL 2023: 1765-1782 - [c3]Aashaka Desai, Lauren Berger, Fyodor Minakov, Nessa Milano, Chinmay Singh, Kriston Pumphrey, Richard E. Ladner, Hal Daumé III, Alex X. Lu, Naomi Caselli, Danielle Bragg:
ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition. NeurIPS 2023 - 2021
- [c2]Karren D. Yang, Samuel Goldman, Wengong Jin, Alex X. Lu, Regina Barzilay, Tommi S. Jaakkola, Caroline Uhler:
Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis. CVPR 2021: 6688-6698 - 2019
- [c1]Alex X. Lu, Amy X. Lu, Wiebke Schormann, Marzyeh Ghassemi, David W. Andrews, Alan M. Moses:
The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers. NeurIPS 2019: 1852-1860
Informal and Other Publications
- 2024
- [i10]Aashaka Desai, Maartje de Meulder, Julie A. Hochgesang, Annemarie Kocab, Alex X. Lu:
Systemic Biases in Sign Language AI Research: A Deaf-Led Call to Reevaluate Research Agendas. CoRR abs/2403.02563 (2024) - [i9]Kayo Yin, Chinmay Singh, Fyodor O. Minakov, Vanessa Milan, Hal Daumé III, Cyril Zhang, Alex X. Lu, Danielle Bragg:
ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles. CoRR abs/2411.05783 (2024) - 2023
- [i8]Kianoush Falahkheirkhah, Alex Xijie Lu, David Alvarez-Melis, Grace Huynh:
Domain adaptation using optimal transport for invariant learning using histopathology datasets. CoRR abs/2303.02241 (2023) - [i7]Aashaka Desai, Lauren Berger, Fyodor O. Minakov, Vanessa Milan, Chinmay Singh, Kriston Pumphrey, Richard E. Ladner, Hal Daumé III, Alex X. Lu, Naomi Caselli, Danielle Bragg:
ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition. CoRR abs/2304.05934 (2023) - 2022
- [i6]Kevin E. Wu, Kevin K. Yang, Rianne van den Berg, James Y. Zou, Alex X. Lu, Ava P. Amini:
Protein structure generation via folding diffusion. CoRR abs/2209.15611 (2022) - 2021
- [i5]Tianyu Lu, Alex X. Lu, Alan M. Moses:
Random Embeddings and Linear Regression can Predict Protein Function. CoRR abs/2104.14661 (2021) - [i4]Stanley Bryan Z. Hua, Alex X. Lu, Alan M. Moses:
CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning. CoRR abs/2111.11646 (2021) - 2020
- [i3]Karren D. Yang, Samuel Goldman, Wengong Jin, Alex Lu, Regina Barzilay, Tommi S. Jaakkola, Caroline Uhler:
Improved Conditional Flow Models for Molecule to Image Synthesis. CoRR abs/2006.08532 (2020) - [i2]Amy X. Lu, Alex X. Lu, Alan M. Moses:
Evolution Is All You Need: Phylogenetic Augmentation for Contrastive Learning. CoRR abs/2012.13475 (2020) - 2019
- [i1]Alex X. Lu, Amy X. Lu, Wiebke Schormann, David W. Andrews, Alan M. Moses:
The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers. CoRR abs/1906.07282 (2019)
Coauthor Index
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