| GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization P Han, P Yang, P Zhao, S Shang, Y Liu, J Zhou, X Gao, P Kalnis Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 164 | 2019 |
| Learning from weak and noisy labels for semantic segmentation Z Lu, Z Fu, T Xiang, P Han, L Wang, X Gao IEEE transactions on pattern analysis and machine intelligence 39 (3), 486-500, 2016 | 142 | 2016 |
| Graph-Flashback Network for Next Location Recommendation X Rao, L Chen, Y Liu, S Shang, B Yao, P Han Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 118 | 2022 |
| MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting D Liu, J Wang, S Shang, P Han Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 101 | 2022 |
| A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks P Han, J Wang, D Yao, S Shang, X Zhang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 101 | 2021 |
| Contextualized Point-of-Interest Recommendation P Han, Z Li, Y Liu, P Zhao, J Li, H Wang, S Shang IJCAI, 2484-2490, 2020 | 82 | 2020 |
| Experimental Identification of the Second‐Order Non‐Hermitian Skin Effect with Physics‐Graph‐Informed Machine Learning C Shang, S Liu, R Shao, P Han, X Zang, X Zhang, KN Salama, W Gao, ... Advanced Science 9 (36), 2202922, 2022 | 58 | 2022 |
| FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting. X Rao, H Wang, L Zhang, J Li, S Shang, P Han IJCAI, 3926-3932, 2022 | 57 | 2022 |
| Point-of-interest recommendation with global and local context P Han, S Shang, A Sun, P Zhao, K Zheng, X Zhang IEEE Transactions on Knowledge and Data Engineering 34 (11), 5484-5495, 2021 | 50 | 2021 |
| AUC-MF: Point of Interest Recommendation with AUC Maximization P Han, S Shang, A Sun, P Zhao, K Zheng, P Kalnis 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1558-1561, 2019 | 47 | 2019 |
| Learning Personalized Itemset Mapping for Cross-Domain Recommendation Y Zhang, Y Liu, P Han, C Miao, L Cui, B Li, H Tang IJCAI, 2561-2567, 2020 | 46 | 2020 |
| Sequence labeling with meta-learning J Li, P Han, X Ren, J Hu, L Chen, S Shang IEEE Transactions on Knowledge and Data Engineering 35 (3), 3072-3086, 2021 | 35 | 2021 |
| Next POI Recommendation with Dynamic Graph and Explicit Dependency F Yin, Y Liu, Z Shen, L Chen, S Shang, P Han Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4827-4834, 2023 | 31 | 2023 |
| GNN-Retro: Retrosynthetic planning with Graph Neural Networks P Han, P Zhao, C Lu, J Huang, J Wu, S Shang, B Yao, X Zhang AAAI, 2022 | 29 | 2022 |
| RetroGraph: Retrosynthetic Planning with Graph Search S Xie, R Yan, P Han, Y Xia, L Wu, C Guo, B Yang, T Qin Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 27 | 2022 |
| Not all Layers of LLMs are Necessary during Inference S Fan, X Jiang, X Li, X Meng, P Han, S Shang, A Sun, Y Wang, Z Wang arXiv preprint arXiv:2403.02181, 2024 | 25 | 2024 |
| Multiple time series forecasting with dynamic graph modeling K Zhao, C Guo, Y Cheng, P Han, M Zhang, B Yang Proceedings of the VLDB Endowment 17 (4), 753-765, 2023 | 25 | 2023 |
| Flm-101b: An open llm and how to train it with $100 k budget X Li, Y Yao, X Jiang, X Fang, X Meng, S Fan, P Han, J Li, L Du, B Qin, ... arXiv preprint arXiv:2309.03852, 2023 | 25 | 2023 |
| Semantic sparse recoding of visual content for image applications Z Lu, P Han, L Wang, JR Wen IEEE Transactions on Image Processing 24 (1), 176-188, 2014 | 24 | 2014 |
| Detecting thoracic diseases via representation learning with adaptive sampling H Wang, YY Yang, Y Pan, P Han, ZX Li, HG Huang, SZ Zhu Neurocomputing 406, 354-360, 2020 | 23 | 2020 |
