| Graph neural networks: foundation, frontiers and applications L Wu, P Cui, J Pei, L Zhao, X Guo Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 377 | 2022 |
| Denoising self-attentive sequential recommendation H Chen, Y Lin, M Pan, L Wang, CCM Yeh, X Li, Y Zheng, F Wang, H Yang Proceedings of the 16th ACM Conference on Recommender Systems, 92-101, 2022 | 54 | 2022 |
| xgail: Explainable generative adversarial imitation learning for explainable human decision analysis M Pan, W Huang, Y Li, X Zhou, J Luo Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 37 | 2020 |
| DHPA: Dynamic human preference analytics framework: A case study on taxi drivers’ learning curve analysis M Pan, W Huang, Y Li, X Zhou, Z Liu, R Song, H Lu, Z Tian, J Luo ACM Transactions on Intelligent Systems and Technology (TIST) 11 (1), 1-19, 2020 | 37 | 2020 |
| St-siamesenet: Spatio-temporal siamese networks for human mobility signature identification H Ren, M Pan, Y Li, X Zhou, J Luo Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 35 | 2020 |
| Dissecting the learning curve of taxi drivers: A data-driven approach M Pan, Y Li, X Zhou, Z Liu, R Song, H Lu, J Luo Proceedings of the 2019 SIAM International Conference on Data Mining, 783-791, 2019 | 35 | 2019 |
| Kernel ridge regression-based graph dataset distillation Z Xu, Y Chen, M Pan, H Chen, M Das, H Yang, H Tong Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 27 | 2023 |
| Node classification beyond homophily: Towards a general solution Z Xu, Y Chen, Q Zhou, Y Wu, M Pan, H Yang, H Tong Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 12 | 2023 |
| Sketching multidimensional time series for fast discord mining CCM Yeh, Y Zheng, M Pan, H Chen, Z Zhuang, J Wang, L Wang, ... 2023 IEEE International Conference on Big Data (BigData), 443-452, 2023 | 7 | 2023 |
| Pacer: Network embedding from positional to structural Y Yan, Y Hu, Q Zhou, L Liu, Z Zeng, Y Chen, M Pan, H Chen, M Das, ... Proceedings of the ACM on Web Conference 2024, 2485-2496, 2024 | 6 | 2024 |
| Is reinforcement learning the choice of human learners? a case study of taxi drivers M Pan, W Huang, Y Li, X Zhou, Z Liu, J Bao, Y Zheng, J Luo Proceedings of the 28th International Conference on Advances in Geographic …, 2020 | 6 | 2020 |
| Sccs: Smart cloud commuting system with shared autonomous vehicles M Pan, Y Li, ZL Zhang, J Luo IEEE Transactions on Big Data 8 (5), 1301-1311, 2020 | 5 | 2020 |
| Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. H Chen, K Zhou, Z Jiang, CCM Yeh, X Li, M Pan, Y Zheng, X Hu, H Yang IJCAI, 2068-2076, 2023 | 4 | 2023 |
| Graph neural networks in urban intelligence Y Li, X Zhou, M Pan Graph Neural Networks: Foundations, Frontiers, and Applications, 579-593, 2022 | 4 | 2022 |
| Modeling urban trip demands in cloud-commuting system: A holistic approach G Liu, M Pan, Y Li, ZL Zhang, J Luo 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2017 | 4 | 2017 |
| Learning decision making strategies of non-experts: A next-gail model for taxi drivers M Pan, X Zhang, Y Li, X Zhou, J Luo Proceedings of the 29th International Conference on Advances in Geographic …, 2021 | 3 | 2021 |
| Discrete-state Continuous-time Diffusion for Graph Generation Z Xu, R Qiu, Y Chen, H Chen, X Fan, M Pan, Z Zeng, M Das, H Tong arXiv preprint arXiv:2405.11416, 2024 | 1 | 2024 |
| Making Sense of Human-generated Spatial-temporal Data from Urban Environment M Pan Worcester Polytechnic Institute, 2021 | 1 | 2021 |
| POSITIONAL EMBEDDING MEETS STRUCTURAL EMBEDDING OF GRAPH REPRESENTATION LEARNING Y Chen, M Pan, H Chen, M Das, H Yang | | 2024 |
| TransNet: Transaction Networks for tabular data M Xu, H Chen, M Pan, Y Chen, Y Dou, M Das | | 2024 |
Yanhua LiAssociate Professor at Worcester Polytechnic InstituteVerified email at wpi.edu
