Yiwei Lyu

According to our database, Yiwei Lyu authored at least 22 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Learning neuroimaging models from health system-scale data.

Yiwei Lyu, Edward S. Harake, Asadur Chowdury, Soumyanil Banerjee, Rachel Gologorsky, Shixuan Liu, Anna-Katharina Meißner, Akshay Rao, Chenhui Zhao, Akhil Kondepudi, Cheng Jiang, Xinhai Hou, Rushikesh S. Joshi, Volker Neuschmelting, Ashok Srinivasan, Dawn Kleindorfer, Brian Athey, Vikas Gulani, Aditya Pandey, Honglak Lee, Todd C. Hollon

CoRR, September, 2025

Intelligent Histology for Tumor Neurosurgery.

Xinhai Hou, Akhil Kondepudi, Cheng Jiang, Yiwei Lyu, Edward S. Harake, Asadur Chowdury, Anna-Katharina Meißner, Volker Neuschmelting, David Reinecke, Gina Furtjes, Georg Widhalm, Lisa Irina Koerner, Jakob Straehle, Nicolas Neidert, Pierre Scheffler, Jürgen Beck, Michael Ivan, Ashish Shah, Aditya Pandey, Sandra Camelo-Piragua, Dieter Henrik Heiland, Oliver Schnell, Chris Freudiger, Jacob Young, Melike Pekmezci, Katie Scotford, Shawn Hervey-Jumper, Daniel A. Orringer, Mitchel S. Berger, Todd C. Hollon

CoRR, July, 2025

Towards Scalable Language-Image Pre-training for 3D Medical Imaging.

Chenhui Zhao, Yiwei Lyu, Asadur Chowdury, Edward S. Harake, Akhil Kondepudi, Akshay Rao, Xinhai Hou, Honglak Lee, Todd C. Hollon

CoRR, May, 2025

Step-Calibrated Diffusion for Biomedical Optical Image Restoration.

Yiwei Lyu, Sung Jik Cha, Cheng Jiang, Asadur Zaman Chowdury, Xinhai Hou, Edward S. Harake, Akhil Kondepudi, Christian W. Freudiger, Honglak Lee, Todd C. Hollon

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

A self-supervised framework for learning whole slide representations.

Xinhai Hou, Cheng Jiang, Akhil Kondepudi, Yiwei Lyu, Asadur Zaman Chowdury, Honglak Lee, Todd C. Hollon

CoRR, 2024

Code Models are Zero-shot Precondition Reasoners.

Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Super-resolution of biomedical volumes with 2D supervision.

Cheng Jiang, Alexander Gedeon, Yiwei Lyu, Eric Landgraf, Yufeng Zhang, Xinhai Hou, Akhil Kondepudi, Asadur Chowdury, Honglak Lee, Todd C. Hollon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning.

Paul Pu Liang, Yiwei Lyu, Xiang Fan, Jeffrey Tsaw, Yudong Liu, Shentong Mo, Dani Yogatama, Louis-Philippe Morency, Russ Salakhutdinov

Trans. Mach. Learn. Res., 2023

MultiZoo and MultiBench: A Standardized Toolkit for Multimodal Deep Learning.

Paul Pu Liang, Yiwei Lyu, Xiang Fan, Arav Agarwal, Yun Cheng, Louis-Philippe Morency, Ruslan Salakhutdinov

J. Mach. Learn. Res., 2023

MultiZoo & MultiBench: A Standardized Toolkit for Multimodal Deep Learning.

Paul Pu Liang, Yiwei Lyu, Xiang Fan, Arav Agarwal, Yun Cheng, Louis-Philippe Morency, Ruslan Salakhutdinov

CoRR, 2023

Fine-grained Text Style Transfer with Diffusion-Based Language Models.

Yiwei Lyu, Tiange Luo, Jiacheng Shi, Todd C. Hollon, Honglak Lee

Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

MultiViz: Towards Visualizing and Understanding Multimodal Models.

Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang, Louis-Philippe Morency, Ruslan Salakhutdinov

Proceedings of the Eleventh International Conference on Learning Representations, 2023

TOD-Flow: Modeling the Structure of Task-Oriented Dialogues.

Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Lajanugen Logeswaran, Dong-Ki Kim, Dongsub Shim, Honglak Lee

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MultiViz: Towards User-Centric Visualizations and Interpretations of Multimodal Models.

Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang, Louis-Philippe Morency, Ruslan Salakhutdinov

Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control.

Xiang Fan, Yiwei Lyu, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

MultiViz: An Analysis Benchmark for Visualizing and Understanding Multimodal Models.

Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang, Louis-Philippe Morency, Ruslan Salakhutdinov

CoRR, 2022

HighMMT: Towards Modality and Task Generalization for High-Modality Representation Learning.

Paul Pu Liang, Yiwei Lyu, Xiang Fan, Shentong Mo, Dani Yogatama, Louis-Philippe Morency, Ruslan Salakhutdinov

CoRR, 2022

DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations.

Yiwei Lyu, Paul Pu Liang, Zihao Deng, Ruslan Salakhutdinov, Louis-Philippe Morency

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning.

Paul Pu Liang, Yiwei Lyu, Xiang Fan, Zetian Wu, Yun Cheng, Jason Wu, Leslie Chen, Peter Wu, Michelle A. Lee, Yuke Zhu, Ruslan Salakhutdinov, Louis-Philippe Morency

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer.

Yiwei Lyu, Paul Pu Liang, Hai Pham, Eduard H. Hovy, Barnabás Póczos, Ruslan Salakhutdinov, Louis-Philippe Morency

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2019

The State and Future of Genetic Improvement.

William B. Langdon, Westley Weimer, Christopher Steven Timperley, Oliver Krauss, Zhen Yu Ding, Yiwei Lyu, Nicolas Chausseau, Eric M. Schulte, Shin Hwei Tan, Kevin Leach, Yu Huang, Gabin An

ACM SIGSOFT Softw. Eng. Notes, 2019

Leveraging program invariants to promote population diversity in search-based automatic program repair.

Zhen Yu Ding, Yiwei Lyu, Christopher Steven Timperley, Claire Le Goues

Proceedings of the 6th International Workshop on Genetic Improvement, 2019