| 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 | 65 | 2021 |
| Pre-trained language models for keyphrase generation: A thorough empirical study D Wu, WU Ahmad, KW Chang arXiv preprint arXiv:2212.10233, 2022 | 13 | 2022 |
| Representation Learning for Resource-Constrained Keyphrase Generation D Wu, WU Ahmad, S Dev, KW Chang EMNLP 2022 (Findings), 2022 | 13* | 2022 |
| 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 | 10 | 2023 |
| KPEval: Towards Fine-grained Semantic-based Keyphrase Evaluation D Wu, D Yin, KW Chang ACL 2024 (Findings), 2023 | 5* | 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 | 4 | 2024 |
| Repoformer: Selective Retrieval for Repository-Level Code Completion D Wu, WU Ahmad, D Zhang, MK Ramanathan, X Ma ICML 2024, 2024 | 3 | 2024 |
| On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation D Wu, WU Ahmad, KW Chang LREC-COLING 2024, 2024 | 2 | 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 | 1 | 2023 |
| Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation D Wu, JC Gu, F Yin, N Peng, KW Chang arXiv preprint arXiv:2406.13692, 2024 | | 2024 |
Kai-Wei ChangAssociate Professor, UCLAVerified email at kwchang.net
