Leveraging program invariants to promote population diversity in search-based automatic program repair. - Zhen Yu Ding; Yiwei Lyu 001; Christopher Steven Timperley; Claire Le Goues (GI@ICSE, 2019)

The State and Future of Genetic Improvement. - William B. Langdon; Westley Weimer; Christopher Steven Timperley; Oliver Krauss; Zhen Yu Ding; Yiwei Lyu 001; Nicolas Chausseau; Eric M. Schulte; Shin Hwei Tan; Kevin Leach; Yu Huang 015; Gabin An (ACM SIGSOFT Softw. Eng. Notes, 2019)

StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer. - Yiwei Lyu 001; Paul Pu Liang; Hai Pham; Eduard H. Hovy; Barnabás Póczos; Ruslan Salakhutdinov; Louis-Philippe Morency (NAACL-HLT, 2021)

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning. - Paul Pu Liang; Yiwei Lyu 001; Xiang Fan; Zetian Wu; Yun Cheng; Jason Wu 001; Leslie Chen; Peter Wu; Michelle A. Lee; Yuke Zhu; Ruslan Salakhutdinov; Louis-Philippe Morency (NeurIPS Datasets and Benchmarks, 2021)

DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations. - Yiwei Lyu 001; Paul Pu Liang; Zihao Deng; Ruslan Salakhutdinov; Louis-Philippe Morency (AIES, 2022)

HighMMT: Towards Modality and Task Generalization for High-Modality Representation Learning. - Paul Pu Liang; Yiwei Lyu 001; Xiang Fan; Shentong Mo; Dani Yogatama; Louis-Philippe Morency; Ruslan Salakhutdinov (CoRR, 2022)

MultiViz: An Analysis Benchmark for Visualizing and Understanding Multimodal Models. - Paul Pu Liang; Yiwei Lyu 001; Gunjan Chhablani; Nihal Jain; Zihao Deng; Xingbo Wang 001; Louis-Philippe Morency; Ruslan Salakhutdinov (CoRR, 2022)

Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control. - Xiang Fan; Yiwei Lyu 001; Paul Pu Liang; Ruslan Salakhutdinov; Louis-Philippe Morency (ACL (Findings), 2023)

MultiViz: Towards User-Centric Visualizations and Interpretations of Multimodal Models. - Paul Pu Liang; Yiwei Lyu 001; Gunjan Chhablani; Nihal Jain; Zihao Deng; Xingbo Wang 001; Louis-Philippe Morency; Ruslan Salakhutdinov (CHI Extended Abstracts, 2023)

TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. - Sungryull Sohn; Yiwei Lyu 001; Anthony Z. Liu; Lajanugen Logeswaran; Dong-Ki Kim; Dongsub Shim; Honglak Lee (EMNLP, 2023)

MultiViz: Towards Visualizing and Understanding Multimodal Models. - Paul Pu Liang; Yiwei Lyu 001; Gunjan Chhablani; Nihal Jain; Zihao Deng; Xingbo Wang 001; Louis-Philippe Morency; Ruslan Salakhutdinov (ICLR, 2023)

Fine-grained Text Style Transfer with Diffusion-Based Language Models. - Yiwei Lyu 001; Tiange Luo; Jiacheng Shi; Todd C. Hollon; Honglak Lee (RepL4NLP@ACL, 2023)

MultiZoo & MultiBench: A Standardized Toolkit for Multimodal Deep Learning. - Paul Pu Liang; Yiwei Lyu 001; Xiang Fan; Arav Agarwal; Yun Cheng; Louis-Philippe Morency; Ruslan Salakhutdinov (CoRR, 2023)

MultiZoo and MultiBench: A Standardized Toolkit for Multimodal Deep Learning. - Paul Pu Liang; Yiwei Lyu 001; Xiang Fan; Arav Agarwal; Yun Cheng; Louis-Philippe Morency; Ruslan Salakhutdinov (J. Mach. Learn. Res., 2023)

High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning. - Paul Pu Liang; Yiwei Lyu 001; Xiang Fan; Jeffrey Tsaw; Yudong Liu; Shentong Mo; Dani Yogatama; Louis-Philippe Morency; Russ Salakhutdinov (Trans. Mach. Learn. Res., 2023)

Super-resolution of biomedical volumes with 2D supervision. - Cheng Jiang 003; Alexander Gedeon; Yiwei Lyu 001; Eric Landgraf; Yufeng Zhang; Xinhai Hou; Akhil Kondepudi; Asadur Chowdury; Honglak Lee; Todd C. Hollon (CVPR Workshops, 2024)

Code Models are Zero-shot Precondition Reasoners. - Lajanugen Logeswaran; Sungryull Sohn; Yiwei Lyu 001; Anthony Z. Liu; Dong-Ki Kim; Dongsub Shim; Moontae Lee; Honglak Lee (NAACL-HLT, 2024)

A self-supervised framework for learning whole slide representations. - Xinhai Hou; Cheng Jiang 003; Akhil Kondepudi; Yiwei Lyu 001; Asadur Zaman Chowdury; Honglak Lee; Todd C. Hollon (CoRR, 2024)

Step-Calibrated Diffusion for Biomedical Optical Image Restoration. - Yiwei Lyu 001; Sung Jik Cha; Cheng Jiang 003; Asadur Zaman Chowdury; Xinhai Hou; Edward S. Harake; Akhil Kondepudi; Christian W. Freudiger; Honglak Lee; Todd C. Hollon (AAAI, 2025)

Towards Scalable Language-Image Pre-training for 3D Medical Imaging. - Chenhui Zhao; Yiwei Lyu 001; Asadur Chowdury; Edward S. Harake; Akhil Kondepudi; Akshay Rao; Xinhai Hou; Honglak Lee; Todd C. Hollon (CoRR, 2025)

Intelligent Histology for Tumor Neurosurgery. - Xinhai Hou; Akhil Kondepudi; Cheng Jiang 003; Yiwei Lyu 001; Edward S. Harake; Asadur Chowdury; Anna-Katharina Meißner; Volker Neuschmelting; David Reinecke; Gina Furtjes; Georg Widhalm; Lisa Irina Koerner; et al. (CoRR, 2025)

Learning neuroimaging models from health system-scale data. - Yiwei Lyu 001; Edward S. Harake; Asadur Chowdury; Soumyanil Banerjee; Rachel Gologorsky; Shixuan Liu; Anna-Katharina Meißner; Akshay Rao; Chenhui Zhao; Akhil Kondepudi; Cheng Jiang 003; Xinhai Hou; et al. (CoRR, 2025)