| 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 | 61* | 2023 |
| GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs P Jiang, C Xiao, AR Cross, J Sun ICLR 2024, 2024 | 31 | 2024 |
| 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 | 24 | 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 | 10 | 2024 |
| 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 | 7 | 2024 |
| KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge P Jiang, L Cao, C Xiao, P Bhatia, J Sun, J Han NeurIPS 2024, 2024 | 4 | 2024 |
| Bi-level Contrastive Learning for Knowledge Enhanced Molecule Representations P Jiang, C Xiao, T Fu, J Sun, J Han AAAI 2025, 2024 | 3 | 2024 |
| Taxonomy-guided Semantic Indexing for Academic Paper Search SK Kang, Y Zhang, P Jiang, D Lee, J Han, H Yu EMNLP 2024, 2024 | 1 | 2024 |
| Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval P Jiang, C Xiao, M Jiang, P Bhatia, T Kass-Hout, J Sun, J Han ICLR 2025, 2025 | | 2025 |
| OACAL: Finding Module-consistent Specifications to Secure Systems from Weakened User Obligations P Jiang, K Tei IEEE SSCI 2021, 2021 | | 2021 |
