Geom-GCN: Geometric Graph Convolutional Networks H Pei, B Wei, KCC Chang, Y Lei, B Yang International Conference on Learning Representations (ICLR), 2020 | 957 | 2020 |
Learning memory-augmented unidirectional metrics for cross-modality person re-identification J Liu, Y Sun, F Zhu, H Pei, Y Yang, W Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 84 | 2022 |
Next generation technology for epidemic prevention and control: data-driven contact tracking H Chen, B Yang, H Pei, J Liu Ieee Access 7, 2633-2642, 2018 | 70 | 2018 |
Early warning of human crowds based on query data from Baidu maps: Analysis based on Shanghai stampede J Zhou, H Pei, H Wu Big data support of urban planning and management: The experience in China …, 2018 | 68 | 2018 |
Active surveillance via group sparse Bayesian learning H Pei, B Yang, J Liu, KCC Chang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1133-1148, 2022 | 57 | 2022 |
Reinforcement learning based recommendation with graph convolutional q-network Y Lei, H Pei, H Yan, W Li Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 32 | 2020 |
Identity preserving generative adversarial network for cross-domain person re-identification J Liu, W Li, H Pei, Y Wang, F Qu, Y Qu, Y Chen IEEE Access 7, 114021-114032, 2019 | 32 | 2019 |
Group sparse bayesian learning for active surveillance on epidemic dynamics H Pei, B Yang, J Liu, L Dong The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018 | 26 | 2018 |
Characterizing and discovering spatiotemporal social contact patterns for healthcare B Yang, H Pei, H Chen, J Liu, S Xia IEEE transactions on pattern analysis and machine intelligence 39 (8), 1532-1546, 2016 | 24 | 2016 |
Social attentive deep Q-networks for recommender systems Y Lei, Z Wang, W Li, H Pei, Q Dai IEEE Transactions on Knowledge and Data Engineering 34 (5), 2443-2457, 2020 | 23 | 2020 |
Social attentive deep Q-network for recommendation Y Lei, Z Wang, W Li, H Pei Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 18 | 2019 |
Curvature Regularization to Prevent Distortion in Graph Embedding H Pei, B Wei, KCC Chang, C Zhang, B Yang Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020 | 13 | 2020 |
Feature cloud: Improving deep visual recognition with probabilistic feature augmentation J Liu, Y Sun, Y Xu, H Pei, W Li IEEE Transactions on Circuits and Systems for Video Technology 32 (7), 4122-4137, 2021 | 8 | 2021 |
Neural explainable recommender model based on attributes and reviews YY Liu, B Yang, HB Pei, J Huang Journal of Computer Science and Technology 35, 1446-1460, 2020 | 8 | 2020 |
Robust visual question answering: Datasets, methods, and future challenges J Ma, P Wang, D Kong, Z Wang, J Liu, H Pei, J Zhao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 2 | 2024 |
Definition-augmented jointly training framework for intention phrase mining D Ma, Y Chen, C Wang, H Pei, Y Zhai, G Zheng, Q Chen International Conference on Database Systems for Advanced Applications, 331-339, 2022 | 2 | 2022 |
HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning H Pei, T Chen, A Chen, H Deng, J Tao, P Wang, X Guan Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14572 …, 2024 | 1 | 2024 |
LaenNet: Learning robust GCNs by propagating labels C Zhang, X Li, H Pei, Z Zhang, B Liu, B Yang Neural Networks 168, 652-664, 2023 | 1 | 2023 |
Challenges and Measurements for Governance of Modern Cyber Space Society P WANG, H PEI, J ZHAO, T QIN, C SHEN, D LIU, X GUAN Bulletin of Chinese Academy of Sciences (Chinese Version) 37 (12), 1686-1694, 2022 | 1 | 2022 |
Modeling and mining spatiotemporal social contact of metapopulation from heterogeneous data B Yang, H Pei, H Chen, J Liu, S Xia 2014 IEEE International Conference on Data Mining, 630-639, 2014 | 1 | 2014 |