| 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 |
| 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 & Data …, 2022 | 37 | 2022 |
| LLMLight: Large Language Models as Traffic Signal Control Agents S Lai, Z Xu, W Zhang, H Liu, H Xiong Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery & Data …, 2025 | 35* | 2025 |
| Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network W Zhang, H Liu, Y Liu, J Zhou, T Xu, H Xiong IEEE Transactions on Knowledge and Data Engineering, 2020 | 31 | 2020 |
| RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation W Zhang, H Liu, H Xiong, T Xu, F Wang, H Xin, H Wu IEEE Transactions on Knowledge and Data Engineering, 2022 | 30 | 2022 |
| MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal W Zhang, H Liu, L Zha, H Zhu, J Liu, D Dou, H Xiong Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 29 | 2021 |
| Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections Q Sun, L Zhang, H Yu, W Zhang, Y Mei, H Xiong Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 21 | 2023 |
| Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models W Zhang, J Han, Z Xu, H Ni, H Liu, H Xiong arXiv preprint arXiv:2402.01749, 2024 | 17 | 2024 |
| BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks J Han, W Zhang, H Liu, T Tao, N Tan, H Xiong VLDB 2024, 2024 | 16 | 2024 |
| Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training F Liu, W Zhang, H Liu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2023 | 14 | 2023 |
| Machine Learning for Urban Air Quality Analytics: A Survey J Han, W Zhang, H Liu, H Xiong arXiv preprint arXiv:2310.09620, 2023 | 11 | 2023 |
| Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach W Zhang, C Yin, H Liu, X Zhou, H Xiong International Conference on Machine Learning, 2024 | 10 | 2024 |
| Urban foundation models: A survey W Zhang, J Han, Z Xu, H Ni, H Liu, H Xiong Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 9 | 2024 |
| Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation J Ming, L Zhang, W Fan, W Zhang, Y Mei, W Ling, H Xiong IEEE International Conference on Data Mining, 348-357, 2022 | 8 | 2022 |
| Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks W Zhang, L Zhang, J Han, H Liu, Y Fu, J Zhou, Y Mei, H Xiong Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 6 | 2024 |
| A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation S Lai, W Zhang, H Liu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2023 | 4 | 2023 |
| Unleash The Power of Pre-Trained Language Models for Irregularly Sampled Time Series W Zhang, C Yin, H Liu, H Xiong arXiv preprint arXiv:2408.08328, 2024 | 2 | 2024 |
| Chain-of-choice hierarchical policy learning for conversational recommendation W Fan, W Zhang, W Wang, Y Song, H Liu International Conference on Database Systems for Advanced Applications, 120-137, 2024 | 1 | 2024 |
| AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting T Lyu, W Zhang, J Deng, H Liu Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery & Data …, 2025 | | 2025 |
Dr. Hui Xiong, Fellow of AAAS, AAAI a...Rutgers University/Baidu/HKUSTVahvistettu sähköpostiosoite verkkotunnuksessa ust.hk