Pyhealth: A deep learning toolkit for healthcare applications C Yang, Z Wu, P Jiang, Z Lin, J Gao, BP Danek, J Sun KDD 2023, 2023 | 26* | 2023 |
Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models P Jiang, S Agarwal, B Jin, X Wang, J Sun, J Han ACL 2023, 2023 | 13 | 2023 |
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs P Jiang, C Xiao, AR Cross, J Sun ICLR 2024, 2023 | 12 | 2023 |
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale P Jiang, C Xiao, Z Wang, P Bhatia, J Sun, J Han NAACL 2024, 2024 | 3 | 2024 |
Bi-level Contrastive Learning for Knowledge Enhanced Molecule Representations P Jiang, C Xiao, T Fu, J Sun Preprint, 2023 | 3 | 2023 |
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models P Jiang, J Lin, Z Wang, J Sun, J Han NAACL 2024, 2024 | 2 | 2024 |
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge P Jiang, L Cao, C Xiao, P Bhatia, J Sun, J Han Preprint, 2024 | | 2024 |
MedKG: Empowering Medical Education with Interactive Construction and Visualization of Knowledge Graphs via Large Language Models P Jiang, MA Lim, A Cross, J Sun Preprint, 2023 | | 2023 |
OACAL: Finding Module-consistent Specifications to Secure Systems from Weakened User Obligations P Jiang, K Tei IEEE SSCI 2021, 2021 | | 2021 |