| Adversarial transfer learning for deep learning based automatic modulation classification K Bu, Y He, X Jing, J Han IEEE Signal Processing Letters 27, 880-884, 2020 | 111 | 2020 |
| 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 | 64 | 2021 |
| 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 | 47 | 2020 |
| 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 | 44 | 2022 |
| 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 | 42 | 2020 |
| 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 | 23 | 2022 |
| HAR-Net: Fusing deep representation and hand-crafted features for human activity recognition M Dong, J Han, Y He, X Jing Signal and Information Processing, Networking and Computers: Proceedings of …, 2019 | 20 | 2019 |
| 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, 2023 | 18 | 2023 |
| GraphConvLSTM: Spatiotemporal learning for activity recognition with wearable sensors J Han, Y He, J Liu, Q Zhang, X Jing 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 16 | 2019 |
| Unified route representation learning for multi-modal transportation recommendation with spatiotemporal pre-training H Liu, J Han, Y Fu, Y Li, K Chen, H Xiong The VLDB Journal 32 (2), 325-342, 2023 | 10 | 2023 |
| Machine learning for urban air quality analytics: A survey J Han, W Zhang, H Liu, H Xiong arXiv preprint arXiv:2310.09620, 2023 | 3 | 2023 |
| iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation J Han, H Liu, S Liu, X Chen, N Tan, H Chai, H Xiong Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 3 | 2023 |
| Cross-City Traffic Prediction via Semantic-Fused Hierarchical Graph Transfer Learning K Chen, J Han, S Feng, H Yang arXiv preprint arXiv:2302.11774, 2023 | 3 | 2023 |
| Region-Aware Hierarchical Graph Contrastive Learning for Ride-Hailing Driver Profiling K Chen, J Han, S Feng, M Zhu, H Yang Transportation Research Part C: Emerging Technologies 156, 104325, 2023 | 2 | 2023 |
| Training method for air quality prediction model, prediction method and apparatus, device, program, and medium H Liu, J Han, D Dou US Patent App. 17/457,649, 2022 | 2 | 2022 |
| 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 | 1 | 2024 |
| Irregular traffic time series forecasting based on asynchronous spatio-temporal graph convolutional network W Zhang, L Zhang, J Han, H Liu, J Zhou, Y Mei, H Xiong arXiv preprint arXiv:2308.16818, 2023 | 1 | 2023 |
| Training method and device for generative adversarial network model, equipment, program and storage medium H Liu, J Han, H Zhu, D Dou US Patent App. 17/457,903, 2022 | 1 | 2022 |
| Air quality prediction model training method, air quality prediction method, electronic device and storage medium J Han, H Liu US Patent App. 17/376,256, 2021 | 1 | 2021 |
| Semantic-fused multi-granularity cross-city traffic prediction K Chen, Y Liang, J Han, S Feng, M Zhu, H Yang Transportation Research Part C: Emerging Technologies 162, 104604, 2024 | | 2024 |
