| Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks J Li, H Peng, Y Cao, Y Dou, H Zhang, P Yu, L He IEEE Transactions on Knowledge and Data Engineering, 2021 | 74 | 2021 |
| Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs Y Cao, H Peng, J Wu, Y Dou, J Li, PS Yu Proceedings of the Web Conference 2021, 2021 | 72 | 2021 |
| Reinforced, Incremental and Cross-lingual Event Detection From Social Messages H Peng, R Zhang, S Li, Y Cao, S Pan, P Yu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 57 | 2022 |
| Multi-information Source HIN for Medical Concept Embedding Y Cao, H Peng, SY Philip Pacific-Asia Conference on Knowledge Discovery and Data Mining, 396-408, 2020 | 19 | 2020 |
| XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction Y Cao, W Groves, TK Saha, JR Tetreault, A Jaimes, H Peng, PS Yu In Findings of NAACL 2022 (arXiv preprint arXiv:2205.01757), 2022 | 8 | 2022 |
| From Known to Unknown: Quality-aware Self-improving Graph Neural Network for Open Set Social Event Detection J Ren, L Jiang, H Peng, Y Cao, J Wu, PS Yu, L He In Proceedings of CIKM 2022 (arXiv preprint arXiv:2208.06973), 2022 | 6 | 2022 |
| Llmrec: Benchmarking large language models on recommendation task J Liu, C Liu, P Zhou, Q Ye, D Chong, K Zhou, Y Xie, Y Cao, S Wang, ... arXiv preprint arXiv:2308.12241, 2023 | 3 | 2023 |
| Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation Y Cao, L Yang, C Wang, Z Liu, H Peng, C You, PS Yu In Proceedings of RecSys 2023 (arxiv preprint: https://arxiv.org/abs/2306.14462), 2023 | 3 | 2023 |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
