| Semi-supervised hierarchical recurrent graph neural network for city-wide parking availability prediction W Zhang, H Liu, Y Liu, J Zhou, H Xiong Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 1186-1193, 2020 | 116 | 2020 |
| Intelligent electric vehicle charging recommendation based on multi-agent reinforcement learning W Zhang, H Liu, F Wang, T Xu, H Xin, D Dou, H Xiong Proceedings of the Web Conference 2021, 1856-1867, 2021 | 99 | 2021 |
| Joint representation learning for multi-modal transportation recommendation H Liu, T Li, R Hu, Y Fu, J Gu, H Xiong Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1036-1043, 2019 | 87 | 2019 |
| Joint air quality and weather prediction based on multi-adversarial spatiotemporal networks J Han, H Liu, H Zhu, H Xiong, D Dou Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4081-4089, 2021 | 86 | 2021 |
| Semi-supervised air quality forecasting via self-supervised hierarchical graph neural network J Han, H Liu, H Xiong, J Yang IEEE Transactions on Knowledge and Data Engineering 35 (5), 5230-5243, 2022 | 76 | 2022 |
| Du-bus: a realtime bus waiting time estimation system based on multi-source data Y Rong, Z Xu, J Liu, H Liu, J Ding, X Liu, W Luo, C Zhang, J Gao IEEE Transactions on Intelligent Transportation Systems 23 (12), 24524-24539, 2022 | 71 | 2022 |
| Hydra: A personalized and context-aware multi-modal transportation recommendation system H Liu, Y Tong, P Zhang, X Lu, J Duan, H Xiong Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 68 | 2019 |
| Multi-modal transportation recommendation with unified route representation learning H Liu, J Han, Y Fu, J Zhou, X Lu, H Xiong Proceedings of the VLDB Endowment 14 (3), 342-350, 2020 | 64 | 2020 |
| Learning to walk with dual agents for knowledge graph reasoning D Zhang, Z Yuan, H Liu, H Xiong Proceedings of the AAAI Conference on artificial intelligence 36 (5), 5932-5941, 2022 | 59 | 2022 |
| Position: TrustLLM: Trustworthiness in large language models Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ... International Conference on Machine Learning, 20166-20270, 2024 | 57 | 2024 |
| 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 | 56 | 2020 |
| Spatio-temporal dual graph attention network for query-poi matching Z Yuan, H Liu, Y Liu, D Zhang, F Yi, N Zhu, H Xiong Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 56 | 2020 |
| Incorporating multi-source urban data for personalized and context-aware multi-modal transportation recommendation H Liu, Y Tong, J Han, P Zhang, X Lu, H Xiong IEEE Transactions on Knowledge and Data Engineering 34 (2), 723-735, 2020 | 52 | 2020 |
| Competitive analysis for points of interest S Li, J Zhou, T Xu, H Liu, X Lu, H Xiong Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 51 | 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 35 (2), 1624-1636, 2021 | 40 | 2021 |
| Multi-agent graph convolutional reinforcement learning for dynamic electric vehicle charging pricing W Zhang, H Liu, J Han, Y Ge, H Xiong Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 37 | 2022 |
| One for all: Towards training one graph model for all classification tasks H Liu, J Feng, L Kong, N Liang, D Tao, Y Chen, M Zhang arXiv preprint arXiv:2310.00149, 2023 | 33 | 2023 |
| Kill two birds with one stone: A multi-view multi-adversarial learning approach for joint air quality and weather prediction J Han, H Liu, H Zhu, H Xiong IEEE Transactions on Knowledge and Data Engineering 35 (11), 11515-11528, 2023 | 33 | 2023 |
| Large language models as traffic signal control agents: Capacity and opportunity S Lai, Z Xu, W Zhang, H Liu, H Xiong CoRR, 2023 | 33 | 2023 |
| A survey on vertical federated learning: From a layered perspective L Yang, D Chai, J Zhang, Y Jin, L Wang, H Liu, H Tian, Q Xu, K Chen arXiv preprint arXiv:2304.01829, 2023 | 31 | 2023 |
