| 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 | 113 | 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 | 110 | 2022 |
| 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 | 109 | 2021 |
| Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications C Chen, F Zheng, J Cui, Y Cao, G Liu, J Wu, J Zhou International Journal of Machine Learning and Cybernetics, 1-20, 2024 | 36 | 2024 |
| 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 | 34 | 2023 |
| Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection Y Cao, H Peng, Z Yu, PS Yu In Proceedings of AAAI 2024 (arXiv preprint arXiv:2312.11891), 2023 | 28 | 2023 |
| 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 | 27 | 2020 |
| 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 | 24 | 2022 |
| 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 | 23 | 2023 |
| Aligning Large Language Models with Recommendation Knowledge Y Cao, N Mehta, X Yi, R Keshavan, L Heldt, L Hong, EH Chi, ... In Findings of NAACL 2024 (arXiv preprint arXiv:2404.00245), 2024 | 18 | 2024 |
| 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 | 12 | 2022 |
| Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation W Zhang, L Yang, Y Cao, K Xu, Y Zhu, SY Philip 2023 IEEE International Conference on Big Data (BigData), 483-492, 2023 | 6 | 2023 |
| Multi-Relational Structural Entropy Y Cao, H Peng, A Li, C You, Z Hao, PS Yu In UAI 2024 (arXiv preprint arXiv:2405.07096), 2024 | 5 | 2024 |
| Visual Summary Thought of Large Vision-Language Models for Multimodal Recommendation Y Liu, Y Wang, Y Cao, L Sun, SY Philip 2024 IEEE International Conference on Big Data (BigData), 456-461, 2024 | | 2024 |
| Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems Y Cao, L Yang, Z Liu, Y Liu, C Wang, Y Liang, H Peng, PS Yu In The Web Conference 2025 (arXiv preprint arXiv:2412.04276), 2024 | | 2024 |
Philip S. YuProfessor of Computer Science, University of Illinons at Chicago確認したメール アドレス: cs.uic.edu