Biopsy-free in vivo virtual histology of skin using deep learning J Li, J Garfinkel, X Zhang, D Wu, Y Zhang, K De Haan, H Wang, T Liu, ... Light: Science & Applications 10 (1), 233, 2021 | 57 | 2021 |
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks PN Kung, F Yin, D Wu, KW Chang, N Peng EMNLP 2023, 2023 | 9 | 2023 |
Representation Learning for Resource-Constrained Keyphrase Generation D Wu, WU Ahmad, S Dev, KW Chang EMNLP 2022 (Findings), 2022 | 8 | 2022 |
Pre-trained language models for keyphrase generation: A thorough empirical study D Wu, WU Ahmad, KW Chang arXiv preprint arXiv:2212.10233, 2022 | 7 | 2022 |
KPEval: Towards Fine-grained Semantic-based Evaluation of Keyphrase Extraction and Generation Systems D Wu, D Yin, KW Chang arXiv preprint arXiv:2303.15422, 2023 | 2 | 2023 |
Virtual histological staining of unlabeled autopsy tissue Y Li, N Pillar, J Li, T Liu, D Wu, S Sun, G Ma, K de Haan, L Huang, ... Nature Communications 15 (1), 1684, 2024 | 1 | 2024 |
Repoformer: Selective Retrieval for Repository-Level Code Completion D Wu, WU Ahmad, D Zhang, MK Ramanathan, X Ma arXiv preprint arXiv:2403.10059, 2024 | | 2024 |
Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models D Wu, WU Ahmad, KW Chang EMNLP 2023, 2023 | | 2023 |