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Jinda Lu
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2020 – today
- 2024
- [j2]Shuo Wang
, Jinda Lu
Feature Mixture on Pre-Trained Model for Few-Shot Learning. IEEE Trans. Image Process. 33: 4104-4115 (2024) - [j1]Zhiyuan Wu
FedCache: A Knowledge Cache-Driven Federated Learning Architecture for Personalized Edge Intelligence. IEEE Trans. Mob. Comput. 23(10): 9368-9382 (2024) - [c3]Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He:
Boosting Few-Shot Learning via Attentive Feature Regularization. AAAI 2024: 7793-7801 - [c2]Kai Zhang, Linping Gao, Jinda Lu, Yutong Yuan, Xiaofen Xing:
Modality-Guided Collaborative Filtering for Recommendation. ICIC (13) 2024: 237-248 - [i3]Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He:
Boosting Few-Shot Learning via Attentive Feature Regularization. CoRR abs/2403.17025 (2024) - [i2]Jinda Lu, Shuo Wang, Yanbin Hao, Haifeng Liu, Xiang Wang, Meng Wang:
Rethinking Visual Content Refinement in Low-Shot CLIP Adaptation. CoRR abs/2407.14117 (2024) - 2023
- [c1]Jinda Lu
Semantic-based Selection, Synthesis, and Supervision for Few-shot Learning. ACM Multimedia 2023: 3569-3578 - [i1]Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Ke Xu, Wen Wang, Xuefeng Jiang, Bo Gao, Jinda Lu:
FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence. CoRR abs/2308.07816 (2023)
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