Jinda Lu

According to our database, Jinda Lu authored at least 8 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

FedCache: A Knowledge Cache-Driven Federated Learning Architecture for Personalized Edge Intelligence.

Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Ke Xu, Wen Wang, Xuefeng Jiang, Bo Gao, Jinda Lu

IEEE Trans. Mob. Comput., October, 2024

Feature Mixture on Pre-Trained Model for Few-Shot Learning.

Shuo Wang, Jinda Lu, Haiyang Xu, Yanbin Hao, Xiangnan He

IEEE Trans. Image Process., 2024

Unified Parameter-Efficient Unlearning for LLMs.

Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He

CoRR, 2024

DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector.

Jinghan Li, Yuan Gao, Jinda Lu, Junfeng Fang, Congcong Wen, Hui Lin, Xiang Wang

CoRR, 2024

Rethinking Visual Content Refinement in Low-Shot CLIP Adaptation.

Jinda Lu, Shuo Wang, Yanbin Hao, Haifeng Liu, Xiang Wang, Meng Wang

CoRR, 2024

Modality-Guided Collaborative Filtering for Recommendation.

Kai Zhang, Linping Gao, Jinda Lu, Yutong Yuan, Xiaofen Xing

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Boosting Few-Shot Learning via Attentive Feature Regularization.

Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Semantic-based Selection, Synthesis, and Supervision for Few-shot Learning.

Jinda Lu, Shuo Wang, Xinyu Zhang, Yanbin Hao, Xiangnan He

Proceedings of the 31st ACM International Conference on Multimedia, 2023