| Fedgraphnn: A federated learning system and benchmark for graph neural networks C He, K Balasubramanian, E Ceyani, C Yang, H Xie, L Sun, L He, L Yang, ... arXiv preprint arXiv:2104.07145, 2021 | 215 | 2021 |
| Federated social recommendation with graph neural network Z Liu, L Yang, Z Fan, H Peng, PS Yu ACM Transactions on Intelligent Systems and Technology (TIST) 13 (4), 1-24, 2022 | 170 | 2022 |
| Consisrec: Enhancing gnn for social recommendation via consistent neighbor aggregation L Yang, Z Liu, Y Dou, J Ma, PS Yu Proceedings of the 44th international ACM SIGIR conference on Research and …, 2021 | 157 | 2021 |
| Influential nodes identification in complex networks via information entropy C Guo, L Yang, X Chen, D Chen, H Gao, J Ma Entropy 22 (2), 242, 2020 | 110 | 2020 |
| Dgrec: Graph neural network for recommendation with diversified embedding generation L Yang, S Wang, Y Tao, J Sun, X Liu, PS Yu, T Wang Proceedings of the sixteenth ACM international conference on web search and …, 2023 | 95 | 2023 |
| Large-scale personalized video game recommendation via social-aware contextualized graph neural network L Yang, Z Liu, Y Wang, C Wang, Z Fan, PS Yu Proceedings of the ACM Web Conference 2022, 3376-3386, 2022 | 58 | 2022 |
| Contrastvae: Contrastive variational autoencoder for sequential recommendation Y Wang, H Zhang, Z Liu, L Yang, PS Yu Proceedings of the 31st ACM International Conference on Information …, 2022 | 54 | 2022 |
| Fedgraphnn: A federated learning benchmark system for graph neural networks C He, K Balasubramanian, E Ceyani, C Yang, H Xie, L Sun, L He, L Yang, ... ICLR 2021 Workshop on Distributed and Private Machine Learning (DPML), 2021 | 37 | 2021 |
| Apigen: Automated pipeline for generating verifiable and diverse function-calling datasets Z Liu, T Hoang, J Zhang, M Zhu, T Lan, S Kokane, J Tan, W Yao, Z Liu, ... arXiv preprint arXiv:2406.18518, 2024 | 25 | 2024 |
| Conditional denoising diffusion for sequential recommendation Y Wang, Z Liu, L Yang, PS Yu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 156-169, 2024 | 25 | 2024 |
| AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System Z Liu, W Yao, J Zhang, L Yang, Z Liu, J Tan, PK Choubey, T Lan, J Wu, ... arXiv preprint arXiv:2402.15538, 2024 | 24 | 2024 |
| Agentohana: Design unified data and training pipeline for effective agent learning J Zhang, T Lan, R Murthy, Z Liu, W Yao, M Zhu, J Tan, T Hoang, Z Liu, ... arXiv preprint arXiv:2402.15506, 2024 | 22 | 2024 |
| 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 Proceedings of the 17th ACM Conference on Recommender Systems, 322-333, 2023 | 21 | 2023 |
| Graph-based alignment and uniformity for recommendation L Yang, Z Liu, C Wang, M Yang, X Liu, J Ma, PS Yu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 20 | 2023 |
| Identification of cancerlectins by using cascade linear discriminant analysis and optimal g-gap tripeptide composition L Yang, H Gao, K Wu, H Zhang, C Li, L Tang Current Bioinformatics 15 (6), 528-537, 2020 | 19 | 2020 |
| Monthly electricity demand forecasting using empirical mode decomposition-based state space model Z Hu, J Ma, L Yang, L Yao, M Pang Energy & Environment 30 (7), 1236-1254, 2019 | 15 | 2019 |
| Group identification via transitional hypergraph convolution with cross-view self-supervised learning M Yang, Z Liu, L Yang, X Liu, C Wang, H Peng, PS Yu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 14 | 2023 |
| Decomposition-based dynamic adaptive combination forecasting for monthly electricity demand Z Hu, J Ma, L Yang, X Li, M Pang Sustainability 11 (5), 1272, 2019 | 14 | 2019 |
| Unified Pretraining for Recommendation via Task Hypergraphs M Yang, Z Liu, L Yang, X Liu, C Wang, H Peng, PS Yu Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 13 | 2024 |
| Approximation algorithm for shortest path in large social networks DNA Mensah, H Gao, LW Yang Algorithms 13 (2), 36, 2020 | 13 | 2020 |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoEmail yang diverifikasi di cs.uic.edu
