| Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning X Wang, K Liu, D Wang, L Wu, Y Fu, X Xie Proceedings of the ACM Web Conference 2022, 2098-2108, 2022 | 111 | 2022 |
| Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams P Wang, K Liu, L Jiang, X Li, Y Fu Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 83 | 2020 |
| Automated Feature Selection: A Reinforcement Learning Perspective K Liu, Y Fu, L Wu, X Li, C Aggarwal, H Xiong IEEE Transactions on Knowledge and Data Engineering, 2021 | 81 | 2021 |
| Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning K Liu, Y Fu, P Wang, L Wu, R Bo, X Li Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 71 | 2019 |
| AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning W Fan, K Liu, H Liu, P Wang, Y Ge, Y Fu 2020 IEEE International Conference on Data Mining (ICDM), 1008-1013, 2020 | 55 | 2020 |
| Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop W Fan, K Liu, H Liu, Y Ge, H Xiong, Y Fu IEEE Transactions on Knowledge and Data Engineering, 2021 | 39 | 2021 |
| Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective D Wang, P Wang, K Liu, Y Zhou, CE Hughes, Y Fu Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4410-4417, 2021 | 34 | 2021 |
| Exploiting Mutual Information for Substructure-aware Graph Representation Learning P Wang, Y Fu, Y Zhou, K Liu, X Li, KA Hua IJCAI, 3415-3421, 2020 | 28 | 2020 |
| Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective W Ren, L Wang, K Liu, R Guo, LE Peng, Y Fu 2022 IEEE International Conference on Data Mining (ICDM), 438-447, 2022 | 27 | 2022 |
| Ambulance Dispatch via Deep Reinforcement Learning K Liu, X Li, CC Zou, H Huang, Y Fu Proceedings of the 28th International Conference on Advances in Geographic …, 2020 | 26 | 2020 |
| Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent X Zhao, K Liu, W Fan, L Jiang, X Zhao, M Yin, Y Fu 2020 IEEE International conference on data mining (ICDM), 871-880, 2020 | 25 | 2020 |
| Fair Graph Auto-encoder for Unbiased Graph Representations with Wasserstein Distance W Fan, K Liu, R Xie, H Liu, H Xiong, Y Fu 2021 IEEE International Conference on Data Mining (ICDM), 1054-1059, 2021 | 23 | 2021 |
| RATT: A Thought Structure for Coherent and Correct LLM Reasoning J Zhang, X Wang, W Ren, L Jiang, D Wang, K Liu arXiv preprint arXiv:2406.02746, 2024 | 22 | 2024 |
| Reinforced Explainable Knowledge Concept Recommendation in MOOCs L Jiang, K Liu, Y Wang, D Wang, P Wang, Y Fu, M Yin ACM Transactions on Intelligent Systems and Technology 14 (3), 1-20, 2023 | 22 | 2023 |
| Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction D Wang, Y Fu, K Liu, X Li, Y Solihin Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 22 | 2022 |
| Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction K Liu, P Wang, J Zhang, Y Fu, SK Das Proceedings of the 2018 SIAM International Conference on Data Mining, 171-179, 2018 | 22 | 2018 |
| A Comprehensive Survey on Data Augmentation Z Wang, P Wang, K Liu, P Wang, Y Fu, CT Lu, CC Aggarwal, J Pei, ... arXiv preprint arXiv:2405.09591, 2024 | 21 | 2024 |
| Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation D Wang, Y Fu, K Liu, F Chen, P Wang, CT Lu ACM Transactions on Spatial Algorithms and Systems 9 (1), 1-24, 2023 | 20 | 2023 |
| Healthcare Utilization and Costs after Receiving a Positive BRCA1/2 Result from a Genomic Screening Program J Hao, D Hassen, K Manickam, MF Murray, DN Hartzel, Y Hu, K Liu, ... Journal of Personalized Medicine 10 (1), 7, 2020 | 20 | 2020 |
| Traceable Automatic Feature Transformation via Cascading Actor-critic Agents M Xiao, D Wang, M Wu, Z Qiao, P Wang, K Liu, Y Zhou, Y Fu Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 19 | 2023 |
Yanjie FuAssociate Professor, School of Computing and AI, Arizona State UniversityEmail verificata su asu.edu
