| Multibench: Multiscale benchmarks for multimodal representation learning PP Liang, Y Lyu, X Fan, Z Wu, Y Cheng, J Wu, L Chen, P Wu, MA Lee, ... NeurIPS Dataset and Benchmark Track, 2021 | 115 | 2021 |
| StylePTB: A compositional benchmark for fine-grained controllable text style transfer Y Lyu, PP Liang, H Pham, E Hovy, B Póczos, R Salakhutdinov, ... NAACL, 2021 | 40 | 2021 |
| High-modality multimodal transformer: Quantifying modality & interaction heterogeneity for high-modality representation learning PP Liang, Y Lyu, X Fan, J Tsaw, Y Liu, S Mo, D Yogatama, LP Morency, ... Transactions on Machine Learning Research, 2022 | 30* | 2022 |
| MULTIVIZ: Towards Visualizing and Understanding Multimodal Models PP Liang, Y Lyu, G Chhablani, N Jain, Z Deng, X Wang, LP Morency, ... ICLR, 2023 | 28* | 2023 |
| Leveraging program invariants to promote population diversity in search-based automatic program repair ZY Ding, Y Lyu, C Timperley, C Le Goues 2019 IEEE/ACM International Workshop on Genetic Improvement (GI), 2-9, 2019 | 27 | 2019 |
| Dime: Fine-grained interpretations of multimodal models via disentangled local explanations Y Lyu, PP Liang, Z Deng, R Salakhutdinov, LP Morency AIES, 2022 | 26 | 2022 |
| MULTIZOO & multibench: A standardized toolkit for multimodal deep learning PP Liang, Y Lyu, X Fan, A Agarwal, Y Cheng, LP Morency, ... The Journal of Machine Learning Research 24 (1), 11056-11062, 2023 | 2 | 2023 |
| The state and future of genetic improvement WB Langdon, W Weimer, C Timperley, O Krauss, ZY Ding, Y Lyu, ... ACM SIGSOFT Software Engineering Notes 44 (3), 25-29, 2019 | 2 | 2019 |
| Step-Calibrated Diffusion for Biomedical Optical Image Restoration Y Lyu, SJ Cha, C Jiang, A Chowdury, X Hou, E Harake, A Kondepudi, ... arXiv preprint arXiv:2403.13680, 2024 | 1 | 2024 |
| A self-supervised framework for learning whole slide representations X Hou, C Jiang, A Kondepudi, Y Lyu, AZ Chowdury, H Lee, TC Hollon arXiv preprint arXiv:2402.06188, 2024 | 1 | 2024 |
| Code Models are Zero-shot Precondition Reasoners L Logeswaran, S Sohn, Y Lyu, AZ Liu, DK Kim, D Shim, M Lee, H Lee arXiv preprint arXiv:2311.09601, 2023 | 1 | 2023 |
| Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control X Fan, Y Lyu, PP Liang, R Salakhutdinov, LP Morency arXiv preprint arXiv:2211.05750, 2022 | 1 | 2022 |
| Super-resolution of biomedical volumes with 2D supervision C Jiang, A Gedeon, Y Lyu, E Landgraf, Y Zhang, X Hou, A Kondepudi, ... arXiv preprint arXiv:2404.09425, 2024 | | 2024 |
| TOD-Flow: Modeling the Structure of Task-Oriented Dialogues S Sohn, Y Lyu, A Liu, L Logeswaran, DK Kim, D Shim, H Lee arXiv preprint arXiv:2312.04668, 2023 | | 2023 |
| Reasoning about Action Preconditions with Programs L Logeswaran, S Sohn, Y Lyu, A Liu, DK Kim, D Shim, M Lee, H Lee NeurIPS 2023 Foundation Models for Decision Making Workshop, 2023 | | 2023 |
| Fine-grained Text Style Transfer with Diffusion-Based Language Models Y Lyu, T Luo, J Shi, TC Hollon, H Lee arXiv preprint arXiv:2305.19512, 2023 | | 2023 |
| MultiViz: Towards User-Centric Visualizations and Interpretations of Multimodal Models PP Liang, Y Lyu, G Chhablani, N Jain, Z Deng, X Wang, LP Morency, ... Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing …, 2023 | | 2023 |
Paul Pu LiangCarnegie Mellon UniversityVerified email at cs.cmu.edu
