Verb Phrase Ellipsis Resolution Using Discriminative and Margin-Infused Algorithms. - Kian Kenyon-Dean; Jackie Chi Kit Cheung; Doina Precup (EMNLP, 2016)

Sentiment Analysis: It's Complicated! - Kian Kenyon-Dean; Eisha Ahmed; Scott Fujimoto; Jeremy Georges-Filteau; Christopher Glasz; Barleen Kaur; Auguste Lalande; Shruti Bhanderi; Robert Belfer; Nirmal Kanagasabai; Roman Sarrazingendron; Rohit Verma; et al. (NAACL-HLT, 2018)

Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization. - Kian Kenyon-Dean; Jackie Chi Kit Cheung; Doina Precup (*SEM@NAACL-HLT, 2018)

Clustering-Oriented Representation Learning with Attractive-Repulsive Loss. - Kian Kenyon-Dean; Andre Cianflone; Lucas Page-Caccia; Guillaume Rabusseau; Jackie Chi Kit Cheung; Doina Precup (CoRR, 2018)

Word Embedding Algorithms as Generalized Low Rank Models and their Canonical Form. - Kian Kenyon-Dean (CoRR, 2019)

Deconstructing and reconstructing word embedding algorithms. - Edward Newell; Kian Kenyon-Dean; Jackie Chi Kit Cheung (CoRR, 2019)

Learning Efficient Task-Specific Meta-Embeddings with Word Prisms. - Jingyi He; Konstantinos C. Tsiolis; Kian Kenyon-Dean; Jackie Chi Kit Cheung (COLING, 2020)

Deconstructing word embedding algorithms. - Kian Kenyon-Dean; Edward Newell; Jackie Chi Kit Cheung (EMNLP (1), 2020)

Masked autoencoders are scalable learners of cellular morphology. - Oren Kraus; Kian Kenyon-Dean; Saber Saberian; Maryam Fallah; Peter McLean; Jess Leung; Vasudev Sharma; Ayla Khan; Jia Balakrishnan; Safiye Celik; Maciej Sypetkowski; Chi Vicky Cheng; et al. (CoRR, 2023)

Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology. - Oren Kraus; Kian Kenyon-Dean; Saber Saberian; Maryam Fallah; Peter McLean; Jess Leung; Vasudev Sharma; Ayla Khan; Jia Balakrishnan; Safiye Celik; Dominique Beaini; Maciej Sypetkowski; et al. (CVPR, 2024)

Benchmarking Transcriptomics Foundation Models for Perturbation Analysis : one PCA still rules them all. - Ihab Bendidi; Shawn Whitfield; Kian Kenyon-Dean; Hanene Ben Yedder; Yassir El Mesbahi; Emmanuel Noutahi; Alisandra K. Denton (CoRR, 2024)

ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy. - Kian Kenyon-Dean; Zitong Jerry Wang; John Urbanik; Konstantin Donhauser; Jason S. Hartford; Saber Saberian; Nil Sahin; Ihab Bendidi; Safiye Celik; Marta M. Fay; Juan Sebastian Rodriguez Vera; Imran S. Haque; et al. (CoRR, 2024)

Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models. - Konstantin Donhauser; Kristina Ulicna; Gemma E. Moran; Aditya Ravuri; Kian Kenyon-Dean; Cian Eastwood; Jason S. Hartford (CoRR, 2024)

RxRx3-core: Benchmarking drug-target interactions in High-Content Microscopy. - Oren Kraus; Federico Comitani; John Urbanik; Kian Kenyon-Dean; Lakshmanan Arumugam; Saber Saberian; Cas Wognum; Safiye Celik; Imran S. Haque (CoRR, 2025)

A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features. - Ihab Bendidi; Yassir El Mesbahi; Alisandra K. Denton; Karush Suri; Kian Kenyon-Dean; Auguste Genovesio; Emmanuel Noutahi (CoRR, 2025)