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Jiangnan Tang
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2020 – today
- 2024
- [j2]Hongxia Li, Zhongyi Cai, Jingya Wang, Jiangnan Tang, Weiping Ding, Chin-Teng Lin, Ye Shi:
FedTP: Federated Learning by Transformer Personalization. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13426-13440 (2024) - [c2]Jiangnan Tang, Jingya Wang, Kaiyang Ji, Lan Xu, Jingyi Yu, Ye Shi:
A Unified Diffusion Framework for Scene-aware Human Motion Estimation from Sparse Signals. CVPR 2024: 21251-21262 - [i2]Jiangnan Tang, Jingya Wang, Kaiyang Ji, Lan Xu, Jingyi Yu, Ye Shi:
A Unified Diffusion Framework for Scene-aware Human Motion Estimation from Sparse Signals. CoRR abs/2404.04890 (2024) - 2023
- [j1]Weichao Liang, Jie Cao, Lei Chen, Youquan Wang, Jia Wu, Amin Beheshti, Jiangnan Tang:
Crime Prediction With Missing Data Via Spatiotemporal Regularized Tensor Decomposition. IEEE Trans. Big Data 9(5): 1392-1407 (2023) - 2022
- [c1]Jiangnan Tang, Youquan Wang, Jie Cao, Haicheng Tao, Guixiang Zhu:
Inter- and Intra-Graph Attention Aggregation Learning for Multi-relational GNN Spam Detection. ITQM 2022: 1522-1530 - [i1]Hongxia Li, Zhongyi Cai, Jingya Wang, Jiangnan Tang, Weiping Ding, Chin-Teng Lin, Ye Shi:
FedTP: Federated Learning by Transformer Personalization. CoRR abs/2211.01572 (2022)
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last updated on 2024-10-23 20:30 CEST by the dblp team
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