| TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding D He, Y Zhao, J Luo, T Hui, S Huang, A Zhang, S Liu Proceedings of the 29th ACM International Conference on Multimedia, 2344-2352, 2021 | 53 | 2021 |
| A comprehensive survey on deep graph representation learning W Ju, Z Fang, Y Gu, Z Liu, Q Long, Z Qiao, Y Qin, J Shen, F Sun, Z Xiao, ... Neural Networks, 106207, 2024 | 44* | 2024 |
| Target-Driven Structured Transformer Planner for Vision-Language Navigation Y Zhao, J Chen, C Gao, W Wang, L Yang, H Ren, H Xia, S Liu Proceedings of the 30th ACM International Conference on Multimedia, 4194-4203, 2022 | 37 | 2022 |
| Object hider: Adversarial patch attack against object detectors Y Zhao, H Yan, X Wei arXiv preprint arXiv:2010.14974, 2020 | 30 | 2020 |
| Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting Y Zhao, X Luo, W Ju, C Chen, XS Hua, M Zhang IEEE 39th International Conference on Data Engineering (ICDE), 2303-2316, 2023 | 19 | 2023 |
| Learning on Graphs under Label Noise J Yuan, X Luo, Y Qin, Y Zhao, W Ju, M Zhang ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 13 | 2023 |
| Towards semi-supervised universal graph classification X Luo, Y Zhao, Y Qin, W Ju, M Zhang IEEE Transactions on Knowledge and Data Engineering, 2023 | 11 | 2023 |
| Rignn: A rationale perspective for semi-supervised open-world graph classification X Luo, Y Zhao, Z Mao, Y Qin, W Ju, M Zhang, Y Sun Transactions on Machine Learning Research, 2023 | 4 | 2023 |
| A Survey on Graph Neural Networks in Intelligent Transportation Systems H Li, Y Zhao, Z Mao, Y Qin, Z Xiao, J Feng, Y Gu, W Ju, X Luo, M Zhang arXiv preprint arXiv:2401.00713, 2024 | 2 | 2024 |
| COOL: A conjoint perspective on spatio-temporal graph neural network for traffic forecasting W Ju, Y Zhao, Y Qin, S Yi, J Yuan, Z Xiao, X Luo, X Yan, M Zhang Information Fusion, 102341, 2024 | | 2024 |
Ming Zhang（张铭）Professor,Peking UniversityVerified email at pku.edu.cn
